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Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Lead dedicated pods of software, data and machine learning engineers in building AI/ML capabilities for Credit and Financial Risk Management products, serving as a technical mentor to the team on these core technologies Design, build, and deliver AI-powered products and components that solve real-world business problems, leveraging expertise in model experimentation, LLM inference, similarity search, and agentic AI within a collaborative Product and Data Science environment Collaborate with a cross-functional team of engineers, data scientists, and designers to develop and scale AI-powered products that enable optimized associate performance and deliver world-class customer value Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Leverage a broad stack of Open Source and SaaS AI technologies and use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor’s Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a similar field 6+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) Experience staying abreast of latest ML research with an intuitive ability to understand scientific publications and judiciously apply novel techniques in production Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description At 4over, we are committed to building a diverse and inclusive workplace welcoming to people of all backgrounds. Providing our employees with job training and opportunities for growth, development, and advancement. We take pride in fostering a safe environment for all employees in our climate-controlled plants. Summary: The Assistant Press Operator assists the Press Operator and Lead Press operator in the basic setup and maintenance of the presses verifying proper paper sheet sizes and types. They are also responsible for ensuring that all presses are supplied and fed with required quantities of paper and other consumables. Schedule: 2nd shift, Monday - Friday, eight or more hours per day, five days per week based on business needs. Primary schedule will be 2:00 PM – 10:00 PM, or similar. Training may occur at other times. Salary Range: $19.00 To 25.00 Hourly Compensation commensurate with experience. At time, we are not engaging with agencies or third-party recruiters. Thank you for understanding. DUTIES AND RESPONSIBILITIES • Assist press operators in setting up, adjusting, and maintaining printing presses to ensure optimal performance., • Load and unload paper, ink, and other materials onto the press, ensuring that stock is properly aligned and ready for printing., • Monitor print runs for quality, ensuring color consistency, proper alignment, and overall print quality. Report any issues to the press operator immediately., • Assist in mixing ink and maintaining proper ink levels for consistent color reproduction throughout production runs. Ensure that inventory levels for materials are regularly checked and maintained., • Identify minor technical issues with the press and assist in troubleshooting and resolving them under the guidance of the press operator., • Clean presses, rollers, and other equipment regularly to ensure optimal printing conditions and prevent malfunctions., • Provide general support to the production team, including preparing materials for upcoming jobs, organizing job orders, and ensuring that all tools and equipment are properly prepared and cleaned., • Actively remove waste items for recycling, • Complete and process all required paperwork, records, documents, etc., • Regularly perform general housekeeping duties in your work area(s), • Adhere to all safety policies and protocols and maintain a safe working environment, • Assist in cultivating an interdependent safety culture by reporting workplace hazards, related injuries, illnesses and or/near misses to management immediately, • Attend all department/company meetings, • Wear all assigned Personal Protective Equipment (PPE) when required, • Other duties as assigned For an extensive list of responsibilities, duties and physical demands/work environment please refer to the attached Job Description. EXPERIENCE AND QUALIFICATIONS EDUCATION, LICENSES, CERTIFICATIONS, EXPERIENCES: • 1 year experience of working within a fast-paced production or manufacturing environment, • High School Diploma or GED equivalency, preferred CRITICAL KNOWLEDGE, SKILLS, AND ABILITIES REQUIREMENTS: • Problem-Solving and Adaptability: Strong problem-solving skills when faced with unexpected challenges, such as machine malfunctions, material shortages, or errors in print quality. Ability to adapt to new printing technologies or changes in production schedules, ensuring smooth operations despite changes., • Time Management & Efficiency: Ability to manage multiple print jobs simultaneously, ensuring deadlines are met without sacrificing quality. Organizing workflows, preparing materials in advance, and optimizing print runs for efficiency and cost-effectiveness., • Attention to Detail: Precision in monitoring print jobs to ensure all details, such as color accuracy, image sharpness, and print placement, meet the required standards. Detecting small defects or inconsistencies during production and taking corrective action immediately., • Communication Skills: Ability to read and understand corporate policies, job-related documents, and written/verbal instructions in English to ensure effective and compliant job performance., • Strong foundational math skills, with the ability to perform basic operations including addition, subtraction, multiplication, and division., • Highly detail-oriented, organized, and efficient in managing time, with a proven ability to meet deadlines and complete tasks accurately. 4OVER COMPANY HISTORY 4over was founded in February of 2001. What started off as creating business cards and web page designs by a husband and wife, quickly flourished. Since the company was founded, we are now a private equity owned company growing and expanding across many states. Through our 4over Core Attributes, we are committed to meeting and exceeding customer expectations, cultivating and nurturing our relationships, providing excellence and caring for others. Health and Life Insurance- • Medical, Dental, Vision, Life/AD&D Insurance, Disability, and Flexible Spending Accounts (FSAs) for Health Care and Dependent Care, • 4over pays 100% of the employee’s premium for his/her Basic Life/AD&D Insurance in the amount of 1x the employee's annual salary, up to $500,000, • Coverage will be effective on the 1st of the month following 1 month of continuous regular full-time employment 401(k) Retirement Plan • New employees are eligible to enroll the first of the month, following 1 month of employment, • Semi-annual open enrollment (January 1st and July 1st), • Discretionary employer match; typically, 50% of employee deferrals up to 6% of compensation, • Immediate Vesting Holidays and PTO • 9 Paid Holidays, • Accumulating PTO to be used after 90-days of continuous and active full-time service 4over is an Equal Opportunity employer. It provides equal employment opportunities to all employees and applicants for employment without regard to race, color, sex, national origin, age, religion, disability, or any other legally protected status and takes affirmative action to recruit, employ, train, and promote qualified minorities, women, covered veterans, and individuals with disabilities.

Job DescriptionCareer Renew is recruiting for one of its clients a Talent Operator - Crypto - this is a hybrid role in NYC or Miami. Salary range: 120-200K USD plus benefits plus equity. We are building the onchain broker layer for global markets, enabling trading of equities, commodities, indices, and FX via perpetuals. We've raised $27M+ from General Catalyst and Jump Crypto, have processed $50B+ in trading volume to date, and generated over ~$35M in fees in the last year, with growing traction among high-volume macro traders. We're a lean, high-velocity go to market team. We’re looking for a high agency growth marketer to join us. About the role We are looking for a Talent Operator to join us as our first dedicated internal talent hire. This isn't a traditional recruiting role; you will be the "internal engine" of the company, working directly with the founders to build a world-class team from the ground up. You're someone who views talent as a strategic puzzle. You’ll be responsible for managing our external partners, and building the operational infrastructure that allows us to scale. As we grow toward 200 employees, you will have the clear path to progress. What you'll own The Orchestrator: Manage the end-to-end hiring machine. You’ll liaise internally with hiring managers to define roles and externally with elite search firms to ensure our pipeline is always moving. Founder Partnership: Work hand-in-hand with founders to define hiring bars, and ensure a world-class candidate experience Systems & Data: Own the CRM/ATS. You’ll keep our data pristine, ensuring every candidate interaction is tracked and every follow-up is executed with precision Operations: Handle the heavy lifting of high-volume scheduling, interview coordination Who you are 0–3 Years of Experience: You might be a recent grad from a top-tier college or someone with early experience at a VC, high-growth startup, or recruitment company High agency, full ownership. You don't wait for direction or for the perfect brief. You identify opportunities and get excited running the experiments yourself. The "Internal Engine": You are hyper-organised and thrive on making things run more efficiently. You don't just find problems; you build the process to fix them. Excited by Talent: You believe that finding the right person for the right seat is the most important lever in a company’s success. Bonus points You understand the landscape and can speak the language of technical founders and engineers. You’ve worked at a top-tier VC firm, or participated in a program like YC, where you learned how to spot talent You’ve interned or worked at high-intensity, high-growth crypto projects (e.g., in a non-technical capacity like Ops or HR at a place like Polymarket) and understand the pace required to win. Compensation & Package Base Salary + equity

Job DescriptionCompany Description Headquartered in Cordova, TN, Stratas Foods is a 50/50 joint venture formed in October 2008 between ACH Food Companies and Archer Daniels Midland Company. Stratas Foods is built on the combined strengths and expertise of these two great parent companies, laid down over the course of over 200 years of combined experience. Stratas will continue to build on this foundation of excellence by providing value added, branded and custom formulated fats and oils solutions to the Food Service, Food Ingredient and Retail sectors. At Stratas Foods we are committed to being the most valued supplier of fats, oils, dressings, mayonnaise and salad dressings to the private label retail bottled oils market in the United States. Manufacturing facilities are located in Dallas and Houston, TX; Decatur and Quincy, IL; Englewood, NJ; Hillside, NJ; Fresno, CA; Nashville, TN; and Valdosta, GA. Corporate offices are located in Memphis, TN. We are committed to maintaining a progressive workplace by utilizing the ideas, skills and talents of all of our employees. We strive to make Stratas Foods a great place to work and are building a team capable of meeting our business goals. Job Description The Operator II is responsible for operating machines such as filling equipment, cappers, labelers, sealers, and other related equipment, to meet customer order driven production schedules. The Operator II may also be assigned to work in the pre-weigh room to ensure the accurate and timely weighing, preparation, and staging of ingredients for production. These assignments are performed independently and not concurrently. This role requires a higher level of technical skill and problem-solving, including the ability to manually operate pre-weigh equipment and apply basic math skills to accurately weigh spices and raw ingredients in accordance with batch specifications. General Responsibilities · Follow all safety, environmental, and workplace rules and regulations. · Adhere to Good Manufacturing Practices (GMP), HACCP, food safety, and quality requirements. · Properly wear required personal protective equipment (PPE). · Accurately complete all required production, quality, downtime, and traceability documentation. · Identify and report safety hazards, quality concerns, or process deviations to the Production Supervisor. · Work collaboratively across Production, Quality, Sanitation, and Warehouse teams to meet daily production goals. · Assist other production areas as needed to support business requirements. When assigned to production line operations, the Operator II will: 1. Operate filling equipment, cappers, labelers, sealers, and related production machinery., 2. Determine and perform machine adjustments based on product specifications and material requirements., 3. Set stops, guides, and machine parameters according to specifications., 4. Monitor machine operations to detect product defects or equipment malfunctions., 5. Actively identify mechanical issues that may lead to downtime and report them promptly., 6. Stop, reset, and clear equipment jams; report impairments to the Production Supervisor., 7. Record downtime reasons accurately in the CDC system., 8. Supports production line operations during Leader absences by maintaining equipment operation, monitoring quality, and promptly escalating issues as needed. When assigned to pre-weigh room operations, the Operator II will: 1. Accurately weigh and prepare spices and raw ingredients according to batch sheets, formulas, and production schedules., 2. Ensure ingredients are properly labeled, sealed, stored, and staged to prevent cross-contamination., 3. Record lot numbers, weights, and required traceability information accurately and timely., 4. Operate scales, blenders, dispensing equipment, and related tools safely and accurately., 5. Perform basic quality checks of raw materials (visual inspection, odor, and condition)., 6. Maintain cleanliness and organization of the Pre-Weigh Room in accordance with GMP and sanitation requirements., 7. Assist with allergen clean-outs when switching between products or formulas., 8. Coordinate with Mixers and Operators to ensure timely delivery of pre-weighed ingredients., 9. Assist with inventory counts and notify supervision of shortages or discrepancies., 10. Assist with receiving and storing raw materials and help verify deliveries against specifications., 11. Identify and report out-of-specification materials, documentation errors, or safety hazards., 12. Work collaboratively across departments to meet daily production goals., 13. Additional duties as required by direct Supervisor or Manager. Qualifications High School Diploma or GED Ability to perform basic math necessary for accurate weighing, measuring, and documentation in a food manufacturing environment. Experience operating in a fast paced, ready to eat food facility a plus Ability to be self-guided and motivated to operate independently Strong multi-tasking skills Ability to work well under pressure Bi-Lingual (English/Spanish) preferred 2-3 years of experience in a similar role and industry Additional Information Additional Information: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the minimum knowledge, skill, and/or ability required. The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. This position requires the ability to lift up to 50 pounds, climb stairs, bend, kneel, stand for extended periods, work in confined spaces, and work at heights Working Conditions: The job is performed in a manufacturing plant environment. Exposure to loud noises, dust, dirt, heat, sparks, oil, and smoke will occur. Personal protective equipment (safety glasses, steel-toed shoes, appropriate clothing) is required in manufacturing plants. Sensory: Ability to hear, see, speak, smell and touch well is necessary to perform basic essential task. Pay Range: $18.79 Benefits: Medical, Dental, Vision Stratas Foods is an equal opportunity employer and will not discriminate against any applicant or employee in any manner prohibited by law, including but not limited to, on the basis of race or color, religion, gender, age, genetic information, national origin/ancestry, mental or physical disability, family status/marital status, military/veteran status, and any other legally protected status. Pay Transparency Nondiscrimination Provision-The Employer will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Employer’s legal duty to furnish information. 41 CFR 60-1.35(c) Stratas Foods Applicant Request for Accommodation Form: https://www.stratasfoods.com/compliance Stratas Foods California Privacy Rights Act Policy: https://www.stratasfoods.com/compliance

Distinguished AI Engineer (Agentic AI Platform) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. Why this Role Matters: We are building an enterprise Generative AI Platform that lets dozens of product teams compose powerful, safe and explainable AI capabilities - without wrestling with model minutiae or infra plumbing. You will design the agentic workflow framework, shared services such as memory, guardrails, vector search, SDKs and blueprints that translate foundation model power into production grade applications used by millions of users across multiple lines of businesses. In this role, you will: Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. You will contribute to the north star platform architecture, continuously publishing and refining living diagrams and canonical APIs that cover agent orchestration, RAG pipelines, prompt libraries and multi-tenant policy enforcement. A major emphasis is around standardizing and automating agentic workflows : you will evaluate agentic frameworks such LangGraph, AutoGen, Semantic Kernal, CrewAI and LlamaIndex and then harden / blend patterns that best meet enterprise SLAs do that 90% of new apps adopt them. Developer experience is another cornerstone. You will contribute to crafting an end to end GenAI SDK, CLI and starter kits that let AI engineers spin up secure, observable agentic workflows in under minutes, shrinking prototyping to production timelines by 30%. Trust and safety remain paramount; you will help bring together a vision of central guardrail services - prompt firewalls, content-filter hooks, red team harnesses and audit APIs - consumed by every application to ensure zero Sev4 incidents. You will collaborate with cross organization architects to drive end to end performance by optimizing orchestration - level batching, retrieval caching, heuristic tuning to achieve reductions in per token spend. You will accelerate innovation by incubating proof of concepts and driving RFCs such as hierarchical agent memory, multimodal guardrails, multimodal RAG. You’ll own central Helm charts, operators and CRDs that auto scale agents to hit tenant SLAs Finally you will coach and evangelize - hosting architecture office hours, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences - to amplify platform vision across internal and external communities. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, or AI plus at least 8 years of experience developing AI and ML algorithms or technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning) 8+ years of experience designing mission-critical machine learning platforms 2+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang Master's degree in Computer Science, Computer Engineering, or relevant technical field Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Experience leading GenAI or LLM-Powered application architectures in production Deep understanding of Responsible AI, data privacy and multi-tenant security patterns Experience as a Staff-plus or Distinguished IC engineer influencing 50+ engineers and C-suite stakeholders K8s mastery (multi-region clusters, sericie mesh) Experience staying abreast of the latest AI research and AI systems and applying novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $269,100 - $307,200 for Distinguished AI Engineer McLean, VA: $269,100 - $307,200 for Distinguished AI Engineer New York, NY: $293,600 - $335,100 for Distinguished AI Engineer San Francisco, CA: $293,600 - $335,100 for Distinguished AI Engineer San Jose, CA: $293,600 - $335,100 for Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

HEAD OF PRODUCTION We are UNR — an award winning, tech-forward, full service creative production company that supports agencies, brands and distributors alike across all media, genres, channels and formats globally at scale. We are ambitious, growing and shaping the next era of integrated production. We bridge the gap between the entertainment and brand worlds, and are equally respected and acknowledged in both. We’re seeking a Head of Production to lead our global expansion, with a primary focus on North America. With studios in NYC, LA, DET & TOR, this person will lead our production teams, grow our revenue and represent UNR’s creative, strategic and cultural vision. This is the person responsible for ensuring UNR delivers world-class creative work across everything we make, operates effectively and efficiently with our external clients and our internal disciplines, and continues expanding our capabilities and reputation as a future forward, next generation production company. This is a leadership role for someone who thrives in a creatively driven, hybrid environment—part executive, part producer, part creative, part technologist and part culture-builder. ROLE OVERVIEW The Head of Production will oversee all production disciplines—Live Action, Photo, Post, AI, Experiential and Integrated Content—and serve as the primary executive steward for UNR’s creative output and production business. You will guide creative and strategic decision-making, manage senior client and agency relationships, build and optimize high-performing production teams, and drive commercial growth in each office. This role requires a solutions minded, creatively oriented, resourceful, practitioner who can operate within the work and the client meetings, not just above them. The ideal candidate brings diplomatic excellence, deep production and post production expertise, digital and generative technology knowledge, financial acumen and a highly collaborative leadership style. Our Unreasonable Head of Production will focus predominantly on always elevating Production & Post Production. This means a thorough understanding of the marketplace, interest and experience with well known production companies, best in class and emerging talent whether directors, DPs, editors, special effects talent, producers as well as the clients and their often complex needs in an ever evolving production environment. KEY RESPONSIBILITIES 1. Function Leadership • Provide overall production leadership for UNR — operationalising production capabilities, ensuring creative excellence and accuracy and diligence in delivery in all instances., • Serve as the senior-most representative in Production for UNR across all global clients, partners and agency collaborators., • Demonstrate thought leadership and practical implementation across AI and generative tech, video, post, social, photo, design and other emerging technologies., • Collaborate with global UNR leadership including Finance, Operations, Talent, etc. to align practice, culture and standards across all offices, clients and partners., • Serve as our public facing ambassador when it comes to clients, consultants, conferences, creative delivery and the community of production. 1. Oversight of Production & Post • Oversee production across all disciplines and formats—from brief, bidding, creative treatment, budgeting, shooting, editorial and finishing through execution and delivery—ensuring efficiency, profitability, and world-class quality and creative standards we are known for., • Provide management, guidance and oversight to Executive Producers, Integrated Producers and Post teams., • Create and uphold production frameworks, processes, project management and workflows using the latest tools, technology and software to their greatest effect. Demonstrate excellence in customization not just automation., • Maintain accountability for on-time, on-budget and on-scope delivery across the entire portfolio., • Drive the strategic adoption of Generative AI and machine-learning tools across the production lifecycle—from AI-assisted storyboarding and pre-visualization to automated rotoscoping, dialogue cleanup and "vanity" VFX in post—ensuring UNR remains at the frontier of production efficiency., • Move AI from "experimentation" to "standard operating procedure" by building robust guardrails for ethical AI use, IP protection, and quality control, ensuring that AI-enhanced outputs meet our world-class creative standards., • Be a leader in standardizing and optimizing the Adobe Creative Cloud ecosystem across all global hubs (NYC, LA, DET, TOR, LON), leveraging Adobe Creative Cloud, Workfront, AEM and Frame.io to ensure a Chase the Sun talent optimization, seamless asset sharing, real-time collaboration and version control across time zones., • Lead the ongoing evolution of our post-production stack, ensuring teams are trained on the latest Adobe features (such as Firefly-powered Generative Fill or AI-based audio enhancement) to reduce manual labor and maximize creative "maker" time. 1. Team Leadership, Development & Culture • Mentor and inspire all production personnel to produce the very best work across the entire production eco-system ensuring exceptional creative delivery and flawless execution., • Build the next wave of UNR talent: recruit, hire, coach, and develop producers, coordinators, creative production specialists and beyond., • Foster a proactive, highly creative, supportive, accurate and solutions-oriented environment. Build on our “maker’ mentality and craft culture., • Model leadership and mentorship at all times—setting the standard for how UNR shows up on set, with clients, and with each other., • Develop best-in-class client service and hospitality on behalf of UNR around productions, new studios, major industry events and conferences, etc. 1. Financial Management & Commercial Growth • Own the financial performance of production jobs including revenue forecasting, cost controls and profitability targets., • Partner closely with CEO, Finance & Operation to build regular business reports, revenue analysis and annual planning., • Create pricing models, rate cards, SOW frameworks, partnership agreements and scalable commercial systems., • Expand external client revenue within the Stagwell network; build relationships with brands, agencies and production partners to grow the UNR pipeline., • Adept at leveraging emerging production technologies to modernize workflows, reduce manual effort and elevate the quality and consistency of outputs. 1. Client & Agency Relationship Leadership • Serve as the senior point of production contact for key stakeholders at all Stagwell agencies, • Build long-term relationships with agency partners and external clients; ensure UNR is seen as an indispensable creative production partner., • Deliver executive oversight on pitches, treatments, creative decks, and major production approaches., • Champion a “find a way” mindset—warm, collaborative, fast and solutions-oriented. 1. Business Development & Brand Expansion • Showcase new talent, new projects, new technologies, new techniques that will help UNR develop new business., • Identify new revenue streams, new services, strategic partnerships and new categories where UNR can excel., • Attend industry events, festivals and emerging-tech environments on behalf of UNR, representing our capabilities and creative point of view. 1. Cross-Office Leadership & Travel • Maintain a strong presence across all N.A. offices; expect to be on the road visiting offices, sets, clients and partners, • Ensure cohesion across time zones, teams and active productions., • Train leadership, improve communication systems and ensure all offices work as one UNR. WHO YOU ARE • A seasoned production executive with 12–15+ years across live action, post, photo, animation integrated content and emerging/generative tech., • Experience beyond advertising agencies, very ideal in clear production first environments and/or in-house set ups., • A natural leader who balances creative ambition with operational rigor., • Comfortable balancing craft, commerce, creativity and culture., • Hands on vs hands off. Rolls sleeves up and works through problems on eye level., • Entrepreneurial, resourceful and excited to grow a new business., • A trusted advisor to agencies, directors, creatives and brand clients., • A mentor and culture builder—someone people love working with., • Calm under pressure; decisive; endlessly solutions-oriented., • Ideally based in New York, Detroit or Los Angeles.

Channel Manager Location: Brooklyn, NY (Hybrid) Experience: 5+ years in Channel Sales, Partnerships, or Cloud Ecosystem Management (AWS/GCP/Azure preferred) About North The public cloud is rapidly evolving, with businesses investing over $200B annually in cloud infrastructure. As AI accelerates demand for scalable compute, cloud costs are rising fast, yet most teams still manage them in spreadsheets. At North, we’re building the next-generation cloud spend management platform. We give companies real-time visibility, control, and automation over their cloud finances, so they can grow efficiently without waste. We work across AWS, GCP, and soon Azure, helping technical and finance teams optimize commitments, allocate costs, forecast spend, and automate savings. Backed by top-tier investors and trusted by customers like Brave, The New York Public Library, and SumUp, we’re assembling a world-class team to redefine how businesses manage cloud infrastructure. About the Role We’re hiring our first Channel Manager to build and scale North’s reseller and distribution strategy. This role will own entry, onboarding, and relationship management for cloud resellers, distributors, and strategic ecosystem partners. You’ll design how North works with channel partners from the ground up, defining incentives, enablement, deal flow processes, and ongoing relationship strategy. This is a high-ownership, builder role. You won’t inherit a mature channel machine, you’ll create it. You’ll work closely with the CEO, GTM leadership, Sales, and Product to ensure our partner ecosystem becomes a scalable revenue engine. What You’ll Do Build the Channel Motion (0→1) • Design and implement North’s reseller and distribution strategy., • Identify and prioritize ideal partner profiles (AWS/GCP/Azure resellers, MSPs, FinOps consultants, distributors)., • Define partner tiers, incentives, and compensation structures., • Establish onboarding, enablement, and certification frameworks. Partner Entry & Activation • Recruit and onboard new channel partners., • Build training materials and sales enablement resources., • Ensure partners understand North’s product, positioning, and differentiation., • Drive first deals through new partners to validate and refine the model. Relationship Management • Serve as the primary point of contact for reseller and distribution partners., • Conduct quarterly business reviews (QBRs) and pipeline check-ins., • Track partner-sourced revenue and performance metrics., • Maintain high-touch strategic relationships while building scalable systems. Revenue & Deal Support • Collaborate with Sales on partner-sourced and partner-assisted deals., • Develop clear rules of engagement and processes for deal and relationship ownership and work cross-functionally with GTM to ensure smooth lead routing and attribution. Strategic Ecosystem Development • Deepen relationships within AWS, GCP, and Azure partner ecosystems., • Identify co-marketing and co-selling opportunities., • Represent North at ecosystem events, partner summits, and industry conferences. What We’re Looking For • 5+ years in channel sales, partnerships, or ecosystem management., • Experience working within AWS, GCP, or Azure partner ecosystems., • Experience building or scaling a reseller/channel program. Strong understanding of cloud infrastructure and SaaS revenue models., • Comfortable owning revenue targets and partner-sourced pipeline., • Builder mindset — comfortable operating without rigid structure., • Excellent relationship management and negotiation skills., • Strong operational discipline with the ability to design repeatable systems., • Strong network within the cloud reseller ecosystem., • Based in NYC and excited to collaborate in-office (Hybrid, Dumbo Brooklyn). Nice to Have • Experience at AWS, GCP, Azure, or a major cloud reseller/distributor., • Background in FinOps, DevOps tooling, or cloud cost optimization., • Experience working in Series A–C SaaS environments., • Familiarity with marketplace motions (AWS Marketplace, etc.)., • Experience building partner compensation models from scratch. Why This Role Matters Channel will be a core revenue lever for North. As cloud spend grows and companies seek cost optimization partners, resellers and ecosystem relationships will play a critical role in how customers discover and adopt North. You’ll help define how we scale beyond direct sales, turning strategic partnerships into a predictable growth engine. Work Setup Hybrid role based in New York City, with an office in Dumbo, Brooklyn. Benefits • Unlimited PTO, • 16 weeks of paid parental leave (birthing parents receive an additional 4 weeks at 50% pay), • Two company-wide breaks per year: one around Labor Day and one at the end of the year, • Aetna Medical PPO plan with the majority of the premium covered by North, • Dental and vision insurance, • Flexible spending account (FSA) for health expenses and commuter benefits, • 30 day sabbatical every 4 years Compensation $130,000 – $175,000 base salary + performance-based variable Equity included (Comp structure flexible depending on seniority and channel experience.)

About Cymphony Cymphony is a well-funded, early-stage cybersecurity startup backed by Sequoia. We are building a new category: workforce security. Every organization knows its workforce is its biggest risk, yet there is no true system of record to manage it. As AI becomes part of the workforce and agents start operating alongside humans, this gap only becomes more critical. Today, leading Fortune 500 companies use Cymphony every day to unlock the full visibility and control they need over workforce security. We are building the system that will define this category. About the role We are looking for experienced Account Executives to join our founding US sales team. This is not a role for someone who wants to step into a well-oiled machine. There is no machine yet. You will be closing deals while helping define how we sell, what works, and what doesn’t. From messaging and ICP to pipeline strategy and sales process, you will have real influence on how this company builds its GTM motion. If you are looking for structure, this is not it. If you are excited about building that structure, keep reading. What you’ll do • Own the full sales cycle, from first touch to close, • Close enterprise deals while keeping momentum with mid-market opportunities, • Generate your own pipeline and not rely only on inbound, • Build deep relationships with senior stakeholders and decision-makers, • Turn customer conversations into insights that shape product and strategy, • Experiment constantly and refine how we sell What we’re looking for • At least 5 years of experience in B2B sales, • Proven track record closing enterprise cybersecurity deals (must), • Strong pipeline generation skills, • Consistent quota overachievement, • Comfortable operating in ambiguity with very little structure, • High ownership mentality, • Strong communicator and relationship builder, • Experience in early-stage startups is a big advantage Seniority expectations • Raise the bar for what “great” looks like in sales, • Take responsibility beyond your number, • Help define the playbook, not just execute it, • Challenge assumptions and bring new ideas Why join • Founding AE role with real impact on how sales is built, • Direct influence on product and GTM direction, • High ownership and autonomy, • A team that works hard, moves fast, and actually enjoys doing it together

Company Description Mundial Media is an AI-powered advertising platform designed to understand cultural nuances through advanced machine learning, without relying on cookies or IDs. Utilizing its proprietary Cadmus AI technology, Mundial Media analyzes millions of pages daily to deliver high-quality, brand-safe, and culturally relevant content across sports, entertainment, lifestyle, and emerging multicultural trends. The platform leverages billions of real-time signals to create dynamic, contextually relevant segments that ensure privacy-safe accuracy, stronger engagement, and scalable solutions for brands. Mundial Media specializes in connecting brands with their audiences at the most impactful cultural moments through premium publishing partners. Role Description This is a full-time hybrid Senior Account Manager role based in New York, NY. The Senior Account Manager will work closely with clients to understand their business needs, build and maintain strong relationships, and oversee account management processes. Responsibilities include creating strategic plans, driving account growth, ensuring client satisfaction, monitoring campaigns, and delivering performance reports. Some remote work flexibility is available for this role. Qualifications • Experience in Client Account Management, Relationship Building, and Client Retention, • Strong Communication, Presentation, and Negotiation Skills, • Proficiency in Data Analysis and Campaign Performance Reporting, • Knowledge of Digital Advertising, Ad Technology, and AI-driven Platforms, • Problem-Solving and Strategic Thinking Abilities, • Ability to manage multiple accounts and meet deadlines, • Bachelor’s degree in Business, Marketing, or a related field, • Prior experience in the advertising, tech, or media industry is a plus

Unique Designs, Inc. – Secaucus, NJ About Us Unique Designs, Inc. is one of the largest jewelry manufacturers in the United States, specializing in the design, production, and wholesale distribution of fine and fashion jewelry. With decades of industry experience, we are a vertically integrated organization with global operations spanning sourcing, manufacturing, and distribution. From mined and lab-grown diamonds to finished jewelry, our facilities and processes enable us to deliver high-quality craftsmanship, trend-forward designs, and reliable service to major retailers and independent jewelers nationwide. Position Overview Unique Designs is seeking an experienced and entrepreneurial Director of Findings, China Manufacturing to lead the development and operational buildout of our findings and chain manufacturing capability for an owned factory. Based in Secaucus, NJ and reporting to the VP of Manufacturing, this role will be responsible for helping establish the manufacturing foundation required to scale a high-performing operation. This is a senior leadership role requiring both deep technical expertise in jewelry findings and chain manufacturing and strong commercial judgment. The ideal candidate has extensive experience in the jewelry industry and has successfully helped build, expand, or optimize manufacturing operations by identifying and purchasing equipment, designing production processes, building teams, and driving operational performance. The role will focus primarily on: • identifying, evaluating, and helping procure the machinery required for findings and chain manufacturing;, • designing, documenting, and implementing efficient manufacturing processes and controls;, • hiring and developing key production talent;, • supporting the long-term success of the operation across output, quality, cost, and continuous improvement. Key Responsibilities • Lead the manufacturing setup strategy for findings and chain production within an owned factory environment, • Identify, evaluate, and recommend specialized machinery and production equipment for findings and chain manufacturing, • Partner with leadership on machinery selection, vendor evaluation, capital planning, and purchasing decisions, with appropriate management oversight, • Help define equipment requirements, production layout logic, workflow design, and capacity assumptions needed to establish an efficient operation, • Develop and implement manufacturing processes, operating procedures, quality controls, and production standards for findings and chain, • Create scalable shop floor workflows that improve throughput, consistency, labor efficiency, and waste reduction, • Hire, train, and develop key production personnel, including machine operators and other critical manufacturing staff, • Build a performance-driven culture centered on accountability, safety, quality, and continuous improvement, • Oversee production execution to ensure targets for output, quality, delivery, and cost are consistently achieved, • Troubleshoot technical production issues related to machinery, fabrication processes, and workflow constraints, • Collaborate with purchasing, engineering, design, and production leadership to align manufacturing capability with business needs, • Support commercial decision-making through equipment ROI thinking, process efficiency analysis, labor planning, and cost awareness, • Negotiate and coordinate, under leadership oversight, with machine suppliers, service providers, and other external partners involved in factory setup and operation, • Establish best practices for preventive maintenance, operational discipline, and sustainable production scaling, • Drive ongoing process improvement initiatives to increase reliability, productivity, and margin performance Qualifications • 10+ years of experience strongly preferred in the jewelry industry, with direct experience in findings and chain manufacturing, • Proven success in a technical manufacturing leadership role within jewelry production, • Demonstrated experience helping build, launch, scale, or materially upgrade a manufacturing operation, • Deep knowledge of machinery, equipment, and production methods used in findings and chain manufacturing, • Strong hands-on understanding of process design, workflow development, equipment selection, and shop floor execution, • Commercially sound operator with experience evaluating capital purchases, vendor options, operating efficiency, and production cost drivers, • Experience hiring, leading, and developing production teams, • Strong mechanical aptitude and problem-solving ability, • Ability to balance strategic planning with hands-on execution, • Strong communication, organizational, and cross-functional leadership skills, • Commitment to quality, safety, process discipline, and continuous improvement Preferred Profile • Has helped stand up or expand a jewelry manufacturing operation from a practical, ground-level starting point, • Brings both technical credibility and sound business judgment, • Comfortable making recommendations on equipment, process, staffing, and operational priorities, • Able to work closely with leadership while taking ownership of execution, • Understands the precision, quality, and production demands specific to jewelry findings and chain Reporting Line This role reports directly to the VP of Manufacturing. Compensation & Benefits • Salary Range: $90,000 – $125,000, commensurate with experience, • Bonus opportunity based on scope, experience, and performance, • Health benefits, paid time off, and additional company perks, • Opportunity to play a key leadership role in building and scaling an important manufacturing capability within a vertically integrated jewelry company Location Secaucus, NJ

About the Role Taktile is building the world's leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of such decisions across the globe every day. • Taktile is based in New York, London, and Berlin., • Taktile was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services., • Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford, and some of us have no degree at all., • Our team has accumulated extensive work experience at leading tech companies such as Google, Amazon, and Meta, startups, and the enterprise software sphere., • Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath., • We’re backed by some of the world’s leading investors and show great traction with scale-ups and large enterprises across the financial services and insurance industry. We are looking to build on this success by growing our sales team, professionalizing our go-to-market, and acquiring more enterprise customers. That’s where you come in. As an Enterprise Account Executive, you are core to our mission of building and expanding Taktile’s enterprise customer base, ensuring our innovative solutions empower large organizations to optimize their decision-making processes. You will play a critical role in driving growth by creating a robust pipeline of enterprise accounts and guiding them through complex sales cycles with expertise and care. As a trusted partner and credible brand ambassador, you will represent Taktile in the enterprise market, building strong relationships with senior-level stakeholders across multiple departments. About You • You’ve met or exceeded your sales targets for 5+ years at $300K+ ACVs., • You have extensive experience managing complex deal cycles of 6+ months., • You know how to build deep, strategic relationships with senior customer stakeholders, including C-suite executives., • You’re curious and customer-centric, with a talent for understanding enterprise customers’ challenges and delivering solutions tailored to their needs., • You’re humble and have a growth mindset, eager to continuously learn, implement new methodologies, and bring best practices into the business., • You’re collaborative and thrive in cross-functional environments, working closely with Marketing, BDR, and Customer Success teams., • You’re strategic and creative—always finding innovative ways to engage prospects and enhance the enterprise buying experience., • You have exceptional communication skills, with an ability to craft compelling messages that resonate with enterprise stakeholders., • You have a proven track record selling SaaS/software subscriptions to Financial Services and/or enterprise-scale businesses., • You are highly skilled in prospecting and navigating complex organizations to identify and engage decision-makers. What You'll Do • Sell Taktile’s innovative decisioning software solution to large enterprise customers in Financial Services to meet or exceed your revenue targets., • Develop a deep understanding of our enterprise target markets, ideal customer profiles, and competitive landscape., • Manage a pipeline of complex, multi-stakeholder sales opportunities from lead to close, focusing on long-term value., • Drive outbound prospecting efforts to engage and qualify enterprise accounts., • Qualify and nurture opportunities generated by BDRs and Marketing., • Lead discovery sessions, product demos, and executive presentations to showcase Taktile’s value proposition., • Provide a seamless and outstanding buying experience for our enterprise customers., • Collaborate with the Customer Success team to ensure smooth handovers and long-term customer success., • Upsell and cross-sell within enterprise accounts to maximize value for customers and drive revenue growth., • Leverage proven enterprise sales methodologies such as MEDDICC and Challenger., • Use CRM and sales tools such as HubSpot, Salesforce, LinkedIn Sales Navigator, etc., to manage and track progress., • Provide market feedback to Product, Marketing, and Leadership to influence the roadmap and go-to-market strategies. Ideal, But Not Required • Experience working in an early-stage start-up (Seed - Series B)., • Deep knowledge of the FinTech, data, or ML/AI landscape. Our Offer • Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here, • Make an impact and meaningfully shape an early-stage company, • Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo, • Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe., • Receive a top-of-market equity and cash compensation package, • Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes., • Use the equipment of your choice including meaningful home office set-up Our Stance • We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply, • We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears Compensation • In consideration of market analysis and relevant factors, the salary range for this position is an on-target earning of $250,000 to $300,000. However, adjustments outside of this range may be considered for candidates whose qualifications significantly differ from those outlined in the job description. Additionally, this role is eligible to participate in our equity plan and benefits program. About us Taktile is building the world's leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of such decisions across the globe every day. Taktile is based in Berlin, London and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. We have accumulated extensive work experience at leading tech companies, startups, and the enterprise software sphere. Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog and UiPath.

Physician Affiliate Group of New York, P.C. (PAGNY) for The Division of Correctional Health Services (CHS) of New York City Health + Hospitals (H+H) is responsible for the delivery of medical care, mental health care, and discharge planning in the jail system. Approximately 25% of new admissions per year to the NYC jail system will receive care on the mental health service. This service strives to provide safe, holistic and evidence-based therapeutic interventions for the diverse range of mental health issues that face the population, from serious mental illness to the natural struggles that accompany incarceration. The service provides some of the most comprehensive and unique treatment modalities in the country, including specialty housing units for individuals with serious mental illness, a 24-hour on-call psychiatric service, robust creative arts programming, a strong DBT training program, clinics in each of the facilities, substance use treatment, integrated re- entry services, and relationships with multiple training institutions throughout the city. The Pharmacy Technician performs all technical tasks in the unit dose, carry and out-patient drug distribution systems as well as other related duties of a satellite pharmacy. The Registered Pharmacist approves all work performed by the Pharmacy Technician. Organizational Responsibilities: • Unit Dose and Carry Drug Distribution Systems, • Picks up patient medication orders from clinic, mini-clinic areas, etc. on a routine basis. Scans medication orders to other buildings or central pharmacy., • Assists in maintaining accurate patient profiles by informing the pharmacist of changes in patient names, I.D. number or housing so modifications can be made in the pharmacy database., • Fills and labels patient cassettes with non-carry and carry system medication bags from computer generated fill lists, and/or original drug orders., • Fills and labels patient discharge medications from a prescription order., • Fills and labels DOT medications. Once checked by pharmacist, delivers same to nursing., • Obtains court medication list from General Office. Reviews distribution list to see if patient will be getting medication in morning. Reviews what is in Pyxis. If medication is not in Pyxis, provides dose for morning court medications. If medication is not in Pyxis, technician can have it added to Pyxis., • Assists the pharmacist by entering number of patients receiving methadone keep and detox into the statistics in the RX Daily Stats Activity Report form in the computer., • Reviews methadone distribution books, circles date of missing methadone dose and enters that information into methadone missed doses database on a daily basis. Notifies pharmacist of same., • When outside methadone clinics call to verify last dose and date of methadone, technician will review active and inactive methadone administration records to ascertain the patient’s last dose and date of methadone administration., • If there are requests for a patient profile, the individual should be instructed to get the profile themselves from report manager. Requests from other agencies should be referred to the pharmacist on duty., • Prints and reviews all transfer reports, checks if the patients is on medication, prints patient medication profile and fills needed doses of medication for subsequent checking by pharmacist. If patient is on methadone or DOT medications, tells pharmacist of such. Can contact other building pharmacy to obtain needed DOT MAR or methadone distribution sheet., • Transports patient cassettes to medication clinic areas and exchanges same when necessary., • Files completed fill lists, updates lists, distribution lists, methadone sheets and other materials according to procedure., • Checks, rotates and restocks all drug stock areas. Fills Pyxis machines as required. Files Pyxis reports with non pyxis stock records and retains them for 1 week. On a monthly basis checks for outdated medications in Pyxis, clinic floor stock, pharmacy stock and other areas where pharmacy stores medications. For non pyxis floor stock, maintains established par levels based on individual clinic or infirmary need. Records issues of stock on the non pyxis Floor Stock Inventory and Issue Record., • Delivers emergency boxes and other requested items to clinic or infirmary areas as needed., • Prepares weekly pharmacy stock order by utilizing par levels and building usage patterns for review by the pharmacist. Enters order into IDWhere and transmits on both a daily and weekly basis to packaging. Reconciles packing slip or invoice against items received. Notifies building pharmacist and packaging manager of any discrepancies. Puts away orders upon receipt, appropriately rotating stocks as required., • Inspects all drug storage areas (clinic, mini-clinic, urgi-center, infirmary, pharmacy, par level rooms, dental, X-Ray, etc.) for outdated medication, IV solutions and related supplies on a monthly basis., • Sorts, counts, prepares outdated drug manifest and packs up outdated medications for return to Central Medical Supply for submission to a reverse distributor., • Prepares and records the prepackaging of extemporaneous unit dose medication., • Records daily statistics on the RX Daily Stats Activity Report form in the computer. Gathers and records other statistical and survey information as required. Faxes or emails to appropriate party as requested., • Has a working knowledge of the pharmacy and medical computer systems. Keys data into the pharmacy system (compliance and OTC requests) and retrieves data from the computer as directed by the pharmacist and permitted by law. Prints or reprints all reports/labels as required., • Maintains all pharmacy areas, including “bubbles,” in a clean, orderly and well stocked fashion for all shifts. Helps arrange for sanitation pick-up and cleaning of these areas with the Department of Correction., • Allows new personnel to shadow them., • Monitors the quality of patient care through quality assurance/improvement mechanisms. Can remind patients that they are on medications and how to pick up the medications. Can refer patients to pharmacist or sick call for additional information. Can compare daily output of medical computer and pharmacy computer and notify users of missing data., • Performs or assumes other related duties as required or requested by pharmacist or manager., • Medication Distribution, • Distributes medication that has been checked and approved by the pharmacist to the correctly identified patient for self-administration in the proper way and at the proper time. Records receipt of the medication by the patient by clearly initialing and recording the number of days’ supply given on the MDR and by computer entry. (As described in the Medication Distribution Policy.), • Refers to the pharmacist or clinic any patient who requires further information concerning their medication, is non-compliant, or is having difficulty tolerating their medication., • Contacts the clinic captain, control room or tour commander in the event of DOC related delays in distributing medications. Contacts on-island administrator in the event of a delay or any other occurrences or problems which adversely affects the above procedures. Once a problem has been reported, keeps the on-island administrator informed about either the progress or lack thereof in distributing medication. (As described in the Disruption of Services Policy.), • Maintains patient confidentiality of all pharmacy and clinical information. Disposal of unne eded reports and labels is done in the shredding containers only., • Packaging, • Sets up and operates liquid and solid unit dose repackaging machines. Responsible for the proper maintenance and cleanliness of the machine at the end of each run., • Packages oral solids into plastic zip-lock bags for the carry system., • Maintains proper record keeping and control procedures as outlined in the Packaging policy. Working Conditions: Pharmacy and clinic/infirmary areas located in a jail setting. Frequent walking (sometimes long distances), standing, sitting, reaching and bending. Travel between all facilities on Rikers Island, and all borough houses is required. Temperature control and ventilation is highly variable throughout the jail campus. Qualifications: • High School or equivalency diploma., • Completion of an approved Pharmacy Technician Training program or demonstrated equivalent experience. As of January 2012, all new hires or promotions must be certified pharmacy technicians by PTCB., • Demonstrated pharmacy competence and independent decision making/problem solving abilities. Must have knowledge of brand/generic names and drug uses., • Able to use email, scanners, copiers and fax machines, • Ability to read, write, speak and understand English. Physical Requirements: Principally classified as medium duty work with frequent travel/walking between facilities. Frequent lifting of up to 20 pounds. Will be required to help push and/or pull medication carts weighing up to 300 lbs. down long hallways and lift up to 35 pounds when needed. Frequent walking (sometimes long distances), standing for long periods of time and sitting. When filing patient cassettes there is constant reaching, bending and twisting. Must have adequate range of motion with both hands. Must be able to reach forward and overhead. Must have manual dexterity to use computer keyboard, mouse and handheld scanner. Must be able to read labels and reports. Must be able to hear. Physician Affiliate Group of New York, P.C. (PAGNY) is an equal opportunity and affirmative action employer committed to diversity, inclusion, and equitable hiring practices. We are dedicated to fostering a respectful and supportive workplace where everyone is valued. All candidates are considered based on their individual qualifications, potential, and experience. To learn more about our culture and ongoing workplace practices, please visit our Workplace Culture | PAGNY page.

Duration: 3 months contract Job Description: • The Veterinary Imaging Annotator supports the development of AI-driven solutions within the Petcare Science & Diagnostics team by accurately labeling veterinary radiographic images., • This role is critical to building machine learning models that detect image quality issues in X-rays, helping improve diagnostic accuracy and reduce the need for retakes in clinical settings., • The annotator will review and label large volumes of veterinary imaging data, ensuring high accuracy, consistency, and adherence to established guidelines., • This position requires strong attention to detail, the ability to perform repetitive tasks with sustained focus, and a solid understanding of veterinary radiology principles. Key Responsibilities: • Review and annotate veterinary X-ray images for quality issues and key features, • Accurately label data to support machine learning model development, • Maintain high levels of annotation accuracy and consistency, • Meet defined productivity targets (throughput) and quality benchmarks, • Collaborate with AI teams and veterinary imaging experts, • Identify and resolve edge cases in complex or unclear images, • Follow established annotation protocols and continuously improve processes Qualifications: • DVM/VetMB (or equivalent) OR current veterinary student with radiology knowledge, • Strong understanding of veterinary radiography and image interpretation, • High attention to detail and ability to perform repetitive tasks consistently, • Comfortable working with digital tools and annotation platforms Preferred Qualifications: • 1+ years of clinical or veterinary experience, • Familiarity with AI technologies, data annotation, or image processing Key Challenge: • Managing repetitive tasks while maintaining a high level of focus and accuracy over extended periods About US Tech Solutions: US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com . US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring. Recruiter Details: Name: Nil Mukherjee Email: Nil@ustechsolutionsinc.com Internal Id: 26-10400

Agentic AI Engineer Location: Remote / Alexandria, VA Clearance: Eligibility to be cleared Are you ready to be part of a team that creates cutting-edge AI-powered analysis and simulation on-demand? At Whitespace, we use our Iris platform to uncover hidden relationships and patterns of life (POL) at machine speed, enhancing mission performance like never before. We are seeking a creative and proven Agentic AI Engineer to join our dynamic team and play a crucial role in unlocking the potential of our AI models. Someone who knows how to make AI systems that do more than just generate text — they make them take action. This role focuses on building intelligent, tool-using agents that can navigate complex technical environments, identify problems, and reason about remediation paths. You will be part of a small, high-caliber team solving hard problems at the intersection of machine learning, systems, and national security. At Whitespace, we are redefining national security by pushing the limits of what is possible—leveraging AI-powered, data-driven innovation to stay ahead of tomorrow's threats. If you are passionate about making a difference in the world and being part of groundbreaking technology in national security, this position is for you! This position is 100% remote for candidates that are not located within fifty miles of the corporate office. This role requires approximately 10% travel. Remote employees will be required to travel to the corporate office in Alexandria, VA at least twice a year. This position will report directly to the Product Manager. The candidate must be a U.S. citizen and reside in the contiguous United States. You will be a W-2 employee of GeoDelphi, Inc., and we do not accept third-party applications. RESPONSIBILITIES • Architect, develop, and deploy advanced autonomous AI agents tailored for cybersecurity applications., • Define and implement intelligent agent systems capable of real-time decision-making and adaptive threat responses., • Collaborate cross-functionally with product managers, engineers, and analysts to translate innovative concepts into robust solutions., • Mentor and guide engineering teams on best practices in developing agent-based AI solutions., • Continuously evaluate, test, and enhance the capabilities and performance of agentic systems within Whitespace’s ecosystem., • Drive technical excellence and promote engineering best practices within the AI team. EXPERIENCE • A bachelor's or master’s degree in Computer Science, AI, Machine Learning, or a related field with at least 5 years of related experience. Will consider experience in lieu of a degree., • Strong proficiency in Python, with experience in relevant libraries, frameworks, and technologies such as FastAPI, asyncio, and PyTorch., • Proven experience developing in Python and deploying robust AI/ML solutions, with specific expertise in autonomous agents., • Direct experience integrating generative AI models (OpenAI, Anthropic, Google Gemini, LLaMA) into practical agentic systems., • Demonstrated ability to design scalable, distributed systems and cloud-native architectures., • Extensive experience in prompt engineering and fine tuning LLM models, • Ability to design and implement agentic frameworks and architectures., • Knowledge of techniques for grounding generative models with external knowledge sources (e.g., retrieval-augmented generation, Knowledge graphs, etc.), • Familiarity with MLOps principles and tools for model deployment and monitoring, • Understanding of the security implications and mitigation strategies for generative AI and agentic systems., • Excellent collaboration, mentorship, and communication skills, enabling you to collaborate effectively with distributed teams., • Excellent communication skills, both verbal and written, to convey technical concepts to non-technical stakeholders. DESIRED SKILLS • Familiarity with Cloud Computing Platforms, • Experience in Deploying AI models at scale in high-throughput, low-latency environments._ GEODELPHI BENEFITS • Medical, Dental, and Vision plans, • Unlimited PTO, • Federal Holiday Paid Leave, • 12 weeks of paid Parental Leave, • Employer paid STD/LTD, • Employer Paid Life Insurance, • 401K plan and Employer Match, • Professional Development Assistance, • Equity Incentive Plan Who we are: GeoDelphi, Inc. dba Whitespace is building AI solutions for global leaders. Recognized as the most innovative company in the Geospatial Industry, Whitespace exponentially accelerates speed-to-answer with powerful analytics, high-cadence data feeds, and human expert-machine teaming. Our answers are rooted in truth data about human activity, delivering reliable decision advantage that keeps pace with world events. Whitespace is headquartered in Alexandria, Virginia. For further information, visit: _. GeoDelphi, Inc. is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, sex, sexual orientation, pregnancy, gender identity, national origin, disability, or Veteran status.

1Password is growing faster than ever. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing and the Utah Mammoth. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As a Senior Developer, you’ll join the team that owns our device-resident agent and expand how 1Password software is installed, configured, and managed across customer devices. You’ll work on a deeply technical client daemon that runs directly on macOS, Windows, and Linux as a background service, with close integration into each operating system. This role sits within an established agent team, but with meaningful ownership of new capabilities. You’ll help design and build the mechanisms that make enterprise deployment simpler, more reliable, secure, and observable at scale, while ensuring they fit naturally into the agent architecture and the broader 1Password platform. While your primary focus will be the endpoint agent and its communication model, you’ll also help shape the contracts and supporting services around it. In practice, that may include prototyping or building lightweight backend components needed to validate workflows, lifecycle behaviors, and end-to-end system design. You’ll help shape our enterprise installation and lifecycle experience end-to-end, ensuring reliability, security, and observability at scale. This is a remote opportunity within Canada and the US. What we're looking for: 5+ years of experience developing system-level or device-resident software for macOS or Windows Strong proficiency in Go Experience developing background services (e.g., Windows Services, macOS launchd) Solid understanding of OS concepts: file systems, permissions, process lifecycle, and privilege boundaries A passion for and experience with security development best practices, coding standards, and design patterns Experience working in a remote-first company or distributed teams. You’re self-driven, with excellent communication skills, and capable of managing your own time effectively. Bonus points for: Experience with Linux system services Familiarity with software installation and update frameworks Experience designing resilient update and rollback mechanisms Experience designing secure client-server communication Experience as a Systems Administrator or Client Platform Engineer Experience troubleshooting production issues on customer devices What you can expect: A remote-first environment where you’ll have the freedom to work from anywhere, with a focus on asynchronous collaboration. Deep ownership of a foundational platform component Minimal meetings, allowing you the time and space to focus on solving complex authentication challenges. Opportunities to make significant technical contributions and lead impactful projects across 1Password’s growing platform. A flexible work environment with the support of a passionate, collaborative team. USA-based roles only: The annual base salary for this role is between $153,000 USD and $214,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $144,000 CAD and $202,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, _. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing . For additional information see our _.

1Password is growing faster than ever. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing and the Utah Mammoth. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As an Engineering Manager for the Authentication Experience team, you will lead and empower a strong development team that owns the overall experience that surrounds signing in to and unlocking 1Password. This is the first point of entry into the 1Password apps across the board. Our focus is on integrating tightly with our authentication stack to make this a seamless and delightful experience for our customers, which include both business and consumer end users. You will be responsible for tactical execution by the team, helping to coordinate activities such as cycle planning, design reviews, and project planning. You will also be responsible for hiring and coaching world-class talent for your team. An ever-increasing number of individuals, families, and businesses are using 1Password every day, and 1Password needs to scale accordingly. Come help us make it easier than ever for those people to get started! This is a remote opportunity within Canada and the US. What we're looking for: You have +3 years experience in a role where you were responsible for managing a team of software engineers and everything that comes with it. You have significant hands-on development experience (preferably in the app space) and have engineered your way out of many complex, unscoped problems. Having lived the life of a senior developer before, you leverage your own experience to coach and train up the developers on your team. You have 1+ years of experience working in the authentication and identity domain. You have an understanding of authentication standards and protocols (OAuth 2.0, OpenID Connect, SAML, WebAuthn, passkeys, MFA). You have successfully coordinated and delivered large scale projects before that touched multiple areas of the business, product, or underlying architecture. The ability to create and maintain a positive, healthy team environment in which everyone is supported, encouraged, and meaningfully challenged to do great work. You motivate and inspire others. After meeting with you, people get back to their job with more energy. You are a force of positivity and lift people up when they need it. You enjoy having the freedom and responsibility to make final decisions on most everything for your team. Handling tough problems gives you energy and you can make the hard decisions even when there isn’t much information to go on. You are someone who is ready to roll up their sleeves and get to work themselves on technical challenges. You are capable of driving the delivery of projects, and creating roadmaps for future work. Bonus points for: Experience managing remote and distributed teams. User experience/design background. Experience with Kotlin, Swift, Rust, JavaScript, Go, or related languages. What you can expect: Manage engineers and develop engineering leads. Foster an environment of innovation, execution, and collaboration. Work to scope and plan key deliverables for projects and initiatives with the team. Drive execution with an emphasis on iterations and deliverables, quality, velocity, and communication. Provide technical leadership to developers both in your team and across the engineering organization. Grow a team of strong engineers to create an inclusive workplace. Continue scaling a highly specialized engineering team by working with a team of Engineering Managers to continuously refine hiring, onboarding, and development processes. USA-based roles only: The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $171,000 CAD and $248,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, _. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing . For additional information see our _.

At Two Six Technologies, we build, deploy, and implement innovative products that solve the world’s most complex challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what’s possible to empower our team and support our customers in building a safer global future. Overview of Opportunity Two Six Technologies is looking for a Senior Embedded Software Engineer to join our team remotely or in Arlington, Virginia. The team is composed of highly skilled and passionate engineers focused on advancing embedded systems technology. We are expanding and seeking an experienced software engineer with a strong background in low-level drive the integration of chassis hardware and software to deliver reliable, secure embedded solutions. If you have experience developing software for Linux operating systems and enjoy building and deploying mission-ready systems, we’d be interested in speaking with you! Primary Responsibilities: • Develop and maintain software framework for repeatedly configuring and deploying linux operating systems for enterprise systems, • Deliver high quality system critical software that includes comprehensive documentation and tests with minimal oversight, • Create systems ensuring reliable and secure field updates for all software components, • Mature R&D software capabilities into operational, fieldable solutions, • Develop APIs and interfaces bridging software and hardware layers, • Support scalable and modular design methodologies, • Engage in technical exchanges with transition partners and key stakeholders. Minimum Qualifications: • Bachelor’s degree in Computer Science, Computer/Electrical Engineering, or a related technical field, • Minimum of 6 years of professional software development experience using an, • Strong programming experience in at least two of the following:, • Python, • Go, • Bash, • Strong understanding of low level Linux operating system fundamentals, • Strong understanding of cryptography fundamentals, • Ability to work remotely or on-site at Two Six Technologies’ Arlington, VA headquarters Nice to Haves: • Basic understanding of memory management concepts (Heap, Stack, Virtual Memory, MMU, Physical vs. Virtual), • Experience with CI/CD pipelines, test automation, and virtual machine test ranges, • Experience with firmware and driver development on linux systems, • Proven ability to effectively lead small engineering teams, • Experience in a client-facing or technical leadership role, • Graduate degree in Computer Science, Computer/Electrical Engineering, or related field, • Experience with Kiwin_ng, PXE boot, Kickstart, Red Hat Linux, • Understanding of Secure boot on x86_64 systems Clearance Requirements: • Ability to obtain and maintain a U.S. security clearance #LI-ZS1 #LI-REMOTE Two Six Technologies is committed to providing competitive and comprehensive compensation packages that reflect the value we place on our employees and their contributions. We believe in rewarding skills, experience, and performance. Our offerings include but are not limited to, medical, dental, and vision insurance, life and disability insurance, retirement benefits, paid leave, tuition assistance and professional development. The projected salary range listed for this position is annualized. This is a general guideline and not a guarantee of salary. Salary is one component of our total compensation package and the specific salary offered is determined by various factors, including, but not limited to education, experience, knowledge, skills, geographic location, as well as contract specific affordability and organizational requirements. Salary Range $97,156 - $145,734 USD Looking for other great opportunities? Check out _ for all our Company’s current openings! Ready to make the first move towards growing your career? If so, check out the ! This will give you step-by-step directions on applying, what to expect during the application process, information about our rich benefits and perks along with our most frequently asked questions. If you are undecided and would like to learn more about us and how we are contributing to essential missions, check out our page! We share information about the tech world around us and how we are making an impact! Still have questions, no worries! You can reach us at _. We are happy to connect and cover the information needed to assist you in reaching your next career milestone. Two Six Technologies is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race (including traits historically associated with race, such as hair texture, hair type and protective hair styles (e.g., braids, twists, locs and twists)), color, religion, national origin, sex (including pregnancy, childbirth or related medical conditions and lactation), sexual orientation, gender identity or expression, age (40 and over), marital status, disability, genetic information, and protected veteran status or any other characteristic protected by applicable federal, state, or local law. If you are an individual with a disability and would like to request reasonable workplace accommodation for any part of our employment process, please send an email to _. Information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations. Additionally, please be advised that this business uses E-Verify in its hiring practices. By submitting the following application, I hereby certify that to the best of my knowledge, the information provided is true and accurate.

1Password is growing faster than ever. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing and the Utah Mammoth. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. Our Customer Success team works proactively and prescriptively to help customers get the most value from their investment in security and privacy by establishing long term relationships and acting as trusted advisors to our customers. The Senior Customer Success Manager guides Mid Market Teams and Business customers through established best practices by demonstrating an understanding of their structure and needs while guiding them throughout their 1Password lifecycle working closely with Onboarding and Account Management. This individual acts as the customer champion and advocate, helping increase awareness of customer needs and priorities. Customer retention is a key focus for this team member, supporting our customers in seeing the value of their investment with 1Password, and driving towards their adoption goals through proactive and reactive customer engagement. This is a remote opportunity within Canada and the US. What we're looking for: A proven track record with a 5 years experience in revenue generating roles and a minimum 3 years experience managing a book of business in a SaaS or Tech Customer Success role servicing customers through strategic calls and engagement. Strong communication skills over email, the phone, and video call. Presenting and speaking to new people each day excites you. Your style is concise yet empathetic – with a balance of teaching and listening/learning yourself as well as knowing when to pivot in a conversation. Experience with and passion for helping people or businesses use software to be more productive and efficient. You’re passionate about discovering what a team needs in their workplace, and you ask strong open-ended questions that help you learn more about them. You're technically savvy and enjoy learning new products and translating technical terms for customers who find technology confusing or intimidating. You have experience and are comfortable in working closely with C-Level executives, and can navigate the nuances of working with different stakeholders to identify and drive value realization Guiding customers through their lifecycle through email, webinars, and customized sessions; making prescriptive recommendations and helping customers achieve their desired outcomes and ensure high adoption rates across their book of business. Follows defined outreach and follow-up communication processes managing data and activity of customers in tandem with the Onboarding and Account Management teams; and synthesizing and logging findings from customer discussions such as feature requests, customer details, and general feedback/metrics accurately. Supports customers within their book of business through the annual renewal process, following defined process to engage with our customers early, and support in closing out renewals on a timely basis with customer satisfaction and retention in mind. You have experience managing revenue retention as your key metric - supporting your customers to drive tool adoption and prevent risk within your book of business. You are comfortable with identifying opportunities for growth and supporting sales counterparts in driving opportunities forward. Optional: You have personal experience with 1Password or another password manager. While not required, it’ll help you quickly have confidence in this role. What you can expect: Month 1 Get to know the product, our culture, the Customer Success processes, and the people you'll be working with. Learn Salesforce, what and how we track, and the benefits of keeping customer information within it updated. By the end of the first month, you’ll be able to guide a small sized customer through an intro discussion in our Customer Success process. Month 3 Can guide medium to large customers through achieving their desired goals using your product expertise and provide defined Customer Success consultations to increase their 1Password product usage, resulting in delivering optimal value for the customer. Proactively report on customers’ needs and valuable feedback so the marketing and product teams can accurately reflect messaging and prioritize the right projects to improve the product. Build and maintain a healthy account book of customers for whom you are the Success Manager. Month 6 Have developed your best personal approach and rhythm, analyzed the Customer Success processes to maximize your customer engagement, and begun collaborating with cross-functional peers in internal teams. Have a steady book of customers with whom you’ve learned needs, built rapport, and put Success plans in place influencing the broader Customer Success metrics and processes. Hands off cross-sell/upsell opportunities to Account managers and engages enthusiastic customers in advocacy initiatives such as_, case studies and product discussions. Contributes to the success of the Customer Success team in an ongoing capacity through team goals and metrics (including operational, NPS, revenue, and performance metrics). USA-based roles only: The annual base salary for this role is between $75,000 USD and $105,000 USD, and is commission-eligible. This role is also immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $83,000 CAD and $116,00 CAD, and is commission-eligible. This role is also eligible for immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, _. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to work We recognize the power of both in person collaboration and remote work. Some roles are designated as remote-first, with an expectation that individuals work from their homes majority of the time, while others are designated as in-office roles, with an expectation of being on-site on a regular basis. We recognize that certain roles benefit from regular, in-person connection to support collaboration, team cohesion, and customer engagement. For all roles, occasional travel may be required. This includes things like: department-wide offsites, quarterly department meetings and periodic customer events. These events are typically held in varying locations across Canada, USA and/or EMEA. In leadership roles, you can expect to travel once per month on average. Note: All go-to market roles will have an in-person onboarding in Toronto. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing . For additional information see our _.

Afresh is the leading AI company in fresh food—partnering with grocers like Albertsons, Wakefern, Meijer, and Stater Bros to order billions of dollars of fresh food in over 12,000 grocery departments nationwide. Following record-breaking 70% growth in 2025, we’ve expanded our platform to cover all fresh departments, launched our full store suite, and debuted DC Fresh Buying. We’re on a mission to eliminate food waste and make fresh food accessible to all. In 2025 alone our software helped save 200M lbs of food waste. If you're looking for a role where your work directly translates into massive scale and social good, and you want to be part of the team that defines the future of fresh, there is no better time to join us. About the Role As a Senior Data Engineer, you’ll play a key role in scaling and improving how we integrate and process customer data. You will design and implement ETLs that reliably process large volumes of customer-provided data and build tools/improve the platform to make customer integrations faster, more accurate, and more scalable. You’ll also contribute to the development of new features that support our expanding product lines. Your work will have a direct and visible impact on our ability to onboard customers more easily and quickly and power our machine learning grocery solution. What You’ll Do • Build tools and frameworks that streamline customer integrations, enabling faster onboarding and better handling of customer data., • Create robust ETLs in PySpark and DBT to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use., • Investigate and implement new technologies into the data platform, focusing on practical solutions that address current pain points and anticipate future needs., • Collaborate with product, engineering, and go-to-market teams to design and deliver data solutions for new products and features., • Identify and implement optimizations to improve ETL runtime and data processing scalability, reducing the time and effort required for integrations., • Solve real-world data quality challenges by working directly with messy, incomplete, or inconsistent customer data to extract the signal we need., • Support team members by mentoring engineers, leading technical discussions, and providing clear, actionable feedback. What Makes You a Great Fit We encourage all highly-qualified candidates to apply, even if they don’t meet every listed qualification. • Significant experience designing and maintaining ETLs that process large-scale datasets., • Proficiency with Python, PySpark, SQL, and experience working on platforms/tools like Databricks, Snowflake, or DBT., • Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions., • A focus on practical outcomes—you're skilled at balancing technical rigor with the need to get things done., • Experience working directly with complex, unclean datasets and finding innovative ways to process and analyze them., • A knack for identifying areas where tooling or automation can simplify workflows and reduce manual effort., • Excellent communication skills—you’re able to explain your ideas clearly to both technical and non-technical audiences., • Proven leadership in technical projects, with a willingness to mentor and help others grow. Why Work Here • Join a mission-driven company reducing millions of pounds of food waste in grocery stores per year., • Work on challenging, real-world problems that have a direct impact on our customers., • Be part of a collaborative, supportive team where your ideas are valued and acted on., • Use cutting-edge tools and platforms to solve meaningful data challenges. We’re looking for someone who thrives on tackling complex data problems and takes pride in building systems that work seamlessly at scale. If that sounds like you, we’d love to hear from you! This position is not eligible for immigration sponsorship Salary Range in U.S.: $156,000 - $211,000 About Afresh Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices. Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors. Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility. Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law. Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AL, AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, UT, VA, WI.

Stripe is a financial infrastructure platform for businesses. Millions of companies—from the world’s largest enterprises to the most ambitious startups—use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career. MaaS ("Money as a Service") Data Science The MaaS Data Science team is central to all money movements, embedded finance, and platform solutions for our biggest and most complex customers. The two roles available are in Embedded Finance (Capital, Issuing) and Connect (Stripe’s solution and growth suite for platforms and marketplaces). We set the data foundations for company wide data primitives + external products; drive strategy through modelling, analytics, and experimentation; build world class data-driven + ML powered product experiences; and partner closely with cross-functional partners across all facets of the business (Product, Engineering, Risk, Marketing, Ops, Strategy, and more) to ensure the success of our Connect, Capital, and Issuing product suite. Growth Data Science The Growth Data Science team helps businesses on Stripe get started both quickly and effectively. We work closely with Growth product and engineering leads to optimize every step of the user journey, from awareness and acquisition, through product adoption, to usage growth and retention. Our team is known for being an experimentation powerhouse, for pushing the frontiers of causal analysis and cumulative impact measurement, and for developing a deep understanding of the user journey that helps drive the product roadmap. We work closely with Growth Product and Engineering, and more broadly with Sales, Marketing, Developer Platform, Support, and Risk teams. Data Science Managers at Stripe are responsible for the success of their team. You’ll be deeply involved in the modeling and design processes as well as coaching, mentoring, and leading the team. You’ll have a deep understanding of how to drive efficient data science teams and you’ll have a strong user-focus. You’ll be working with data scientists, analysts and engineers on creating technical solutions and communicating effectively across teams and senior leadership. • Drive the roadmap and priorities for your team, and work with many Stripe leaders across the company to enhance our ability to be data driven., • Collaborate with stakeholders across the organization such as engineering, analytics, operations, finance, and marketing., • Lead and manage processes to help the team do its best work and engage effectively with the rest of Stripe, • Manage a high-performing team of data scientists, supporting them to achieve a high level of technical excellence and advance in their careers., • Recruit and onboard great data scientists, in collaboration with Stripe’s recruiting team, • Contribute to broad data science initiatives as a member of Stripe’s data science management team. We’re looking for someone who meets the minimum requirements to be considered for the role. If you meet these requirements, you are encouraged to apply. The preferred qualifications are a bonus, not a requirement. • A PhD or MS or BS in a quantitative field (e.g., Statistics, Operations Research, Economics, Computer Science, Engineering)., • You have at least 3 years of direct management experience leading data science or ML teams, and 10 years of overall data science experience., • You have demonstrated expertise in designing metrics and guiding business decisions with data., • You have technical expertise to drive clarity with staff and senior scientists about architecture and strategic modeling decisions., • You’ve managed teams that have built and shipped machine learning systems and data products at scale, and have hands-on experience with challenging problems., • You work very well cross-functionally, and are able to think rigorously and make hard decisions and tradeoffs., • You have clear and persuasive communication skills in writing and verbally., • You thrive on a high level of autonomy and responsibility., • You foster a healthy, inclusive, challenging, and supportive work environment., • You are comfortable working with geographically distributed teams, • Expertise in time series forecasting, predictive modeling, or optimization, • Expertise in data design and building scalable data architectures

We are an innovative technology company providing a cutting-edge, AI-powered cloud platform for the construction industry. Created by industry experts with deep estimating experience, our software dramatically streamlines the pre-construction process. Our solution uses advanced machine learning to automate traditionally time-consuming takeoff tasks, helping estimators work up to 80% faster while reducing costly errors. Our collaborative platform enables real-time teamwork, instant drawing analysis, and features a revolutionary conversational AI interface that transforms how professionals interact with construction plans. Founded by construction industry veterans, our award-winning application automates the takeoff process, enabling estimators to analyze blueprints in seconds rather than hours or days. Key Responsibilities Relationship Management Build strong relationships with customers, understanding their goals and ensuring they are met through the platform Conduct regular check-ins to monitor usage and overall satisfaction Act as the primary point of contact for a portfolio of customers Customer Support and Success Respond to support requests in a timely and professional manner Troubleshoot issues and coordinate with the product team when necessary Maintain records of customer interactions and feedback Retention and Growth Monitor usage and identify churn risks early, addressing them with tailored support Identify upsell and renewal opportunities and collaborate with the sales team to execute them Customer Support and Success Respond to support requests in a timely and professional manner Troubleshoot issues and coordinate with the product team when necessary Maintain records of customer interactions and feedback Collaboration and Feedback Provide customer insights to product and engineering teams to help shape product direction Share trends, wins, and blockers with the broader customer success and sales teams Qualifications Experience in customer success, account management, or a client-facing SaaS role SaaS experience with a strong acumen for product knowledge Strong communication and relationship-building skills Ability to troubleshoot issues and explain technical concepts to non-technical users Experience working with CRM or customer success platforms Highly organized and proactive with a customer-first mindset Located in CT/MT/PT time zone Nice to Have Experience in construction tech or working with AEC clients is a plus What We Offer Base salary + Incentive Plan Health, dental, and vision insurance Unlimited PTO and remote flexibility Opportunity to grow your career at a fast-paced AI startup Collaborative and innovative work environment We are an equal opportunity employer committed to building a diverse team. We welcome applications from candidates of all backgrounds who are passionate about using technology to transform the construction industry. Join us in revolutionizing pre-construction estimating with the power of AI!

Dealstack is on a mission to power private equity. Today, there is no purpose-built tech in place to power the world of private equity. Dealmaking is manual, chaotic and backward. Dealstack is a SaaS platform that puts an end to these outdated practices, setting a new collaboration standard in the industry. Dealstack is built by PE, for PE. Founded by experienced professionals from within the industry, our products sit at the intersection of SaaS, fintech and legaltech. Dealstack has an ambitious, multi-product roadmap. The first product went live in 2023. It allows private equity professionals to easily onboard and maintain investment programmes. Following strong commercial traction from leading industry players, we are looking for an ambitious individual, with proven software engineering skills and experience working for a high growth software company. The role presents an exciting opportunity to build and deliver innovation to a fast-moving industry. • 2+ years of commercial experience as a software engineer working on both FE & BE, • Willing to work remotely (UK business hours) with our team on a regular basis., • Interested in working with fresh tech stack and being part of the independent team, • Interested in working with actual engineering problems rather than facing malfunctioning corporate procedures, • Interested in fintech and SaaS, ideally private equity, • Works cleanly with a value of writing collaborative code first, • Opinionated and passionate. We like people who have strong opinions about their work, • You will be joining the development team with experienced people helping to choose the best business-tech solution providing unique experience to ship new features both on FE and BE, • You will be shipping new features while maintaining high standards in code quality, • You will work in a small team where we focus on quality over quantity and excellence over speed, • You will have a voice to work with other senior developers on technical choices. We run a meritocracy where all can be heard and the best ideas win out, • You will explore areas including graph theory and visualization, document parsing with machine learning and instrument calculations, • Working with "Agile" methodology but not SCRUM. We believe that tools are to help us rather than blindly follow them, • Having time to plan and think before actual implementation. We believe to deliver proper software it is not only coding but also thinking how to do so, • Building modern UI based of components using attractive tools and libraries in React and working on BE using Node.js and Nest.js, • Architecting FE with modern and variety BE communication including classic API, tRPC, GraphQL, WebSocket, • Working with team where there is a healthy balance between speed & perfect quality. Stability is our primary goal but also in terms of maintainability, • You possess solid knowledge of Node.js, React.js – these are our main and only FE& BE frameworks, • TypeScript - we are using TypeScript at sophisticated level, • Ability to use Figma from developer perspective, • Understanding what state management is (available solutions for React.js), • Past experience with PostgreSQL, Jest and Playwright preferred, • Devops experience valued, • Experience or at least understanding of work at the product-based company, • Having engineer mindset, ability to understand problems without going too deep in terms of low level, • Comfortable with working in a team environment. e.g Pair programming, • Very strong communication, influencing and presentation skills, with a deep sense of personal excellence and accountability, • International experience and knowledge; cultural sensitivity and ability to work across multiple markets / cultures, • Positive, mature approach to problem solving, • High EQ and interpersonal skills, with an ability to read and respond to complex and challenging situations, • Team player with a desire and ability to function in a fun, flexible, changing environment, • Speak very good English (on daily basis)

IonQ is developing the world's most powerful full-stack quantum computer based on trapped-ion technology. We are pushing past the limits of classical physics and current supercomputing technology to unlock a new era of computing. Quantum computing has the potential to impact every area of human society for the better. IonQ’s computers will soon redefine industries like medicine, materials science, finance, artificial intelligence, machine learning, cryptography, and more. IonQ is at the forefront of this technological revolution. We are looking for a Senior Quantum Field Engineer. As a Senior Quantum Field Engineer, you’ll be part of a team whose mission is to lead IonQ on its journey to build the world’s best quantum solutions and solve the world’s most complex problems. Field Engineering sits at the intersection of customers, markets, products and product teams, algorithms, applications, innovation and strategy - this is the team where ideas become applied and have impact. Join a nimble team of scientists, engineers, salespeople, marketers, business developers, and product managers to drive an entirely new quantum computing business. We’re seeking versatile engineers and architects skilled in technical sales, technical demos and customer interactions who feel energized to deliver IonQ’s quantum computing products and quantum applications. Responsibilities: • Inspire and co-engineer solutions with the US Department of Defense by explaining IonQ’s strategy, portfolio and answering technical questions about quantum portfolio (compute, network, security, sensing and space) and quantum applications., • Lead and shepherd client discussions, inspiring them to see how quantum applications can be implemented in their business domain., • This includes working through business needs and mapping Quantum Algorithms (financial services, bioscience, chemistry and materials, optimization, generative AI, and other domains) into application code and executing Proof-of-Concepts together with the IonQ Application team., • Share insights from clients with the IonQ Product Management and Engineering teams such that client feedback is incorporated into our products., • Navigate competitive objection handling, • Translate business needs expressed by our clients into technical work projects in collaboration with other team members., • Create assets to explain features of our quantum applications and other IonQ quantum products., • Move dialogs from initial ideation to focused exploration domain through to proof-of-concept and ultimately into production workflows., • Lead client discovery sessions for business-oriented use cases that uncover potential overlap with the development of useful quantum algorithms, together with the IonQ Application team., • Partner with marketing, developer relations and business development to grow awareness of IonQ in the world at large., • Attend industry conferences, as needed, to talk to client and support our booth activities., • Some travel expected in the US (20%) but opportunities for global travel are available as well for client meeting and IonQ conference activities., • This is a technical customer-facing role with the appropriate balance of compensation acceleration for success and a base salary to ensure that credibility and technical correctness always comes first. You’d be a good fit with: • 10+ years of professional experience or an equivalent combination of education and experience, • 5+ years of experience in technical customer-facing roles or equivalent capacity. The ability to communicate (at the various context-appropriate levels of depth) and persuade clearly, have strong EQ, and other customer-facing skills are critical., • US Citizen, with Top Secret (TS) / Sensitive Compartmented Information (SCI) clearance or have the ability to complete one if required., • 5+ years of focused experience with technology companies that support US DoD missions., • Bachelor’s degree or above in Computer Science, Machine Learning, Data Science, or other STEM field, such as Chemistry, Physics or Engineering, • Motivated learner with a strong interest in quantum computing., • Mission-oriented person - driven to help the US Federal Government Department of War You’d be a great fit with: • Master's or PhD in a STEM field, perhaps adjacent to quantum computing., • Time on the customer side in various verticals included leadership roles - this provides customer empathy, • Hands-on experience with Qiskit, Cirq or other quantum computing SDK., • Proficient in Python and Jupyter Notebooks., • Expert architecture skills across various technologies (“full stack skills”), • Experience leading technical events. Location: This position can work onsite or hybrid from one of our offices or fully remote in the US Travel: 20% travel domestically. Job ID: 1289 The approximate base salary range for this position is $192,979 - $252,659. The total compensation package includes base, bonus, and equity. Compensation will vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. Posted base salary figures are subject to change as new market data becomes available. Beyond base salary, total compensation includes a variable bonus and equity component and a range of benefit options found on our career site at _. Details of participation in these benefit plans will be provided when a candidate receives an offer of employment. Our US benefits include comprehensive medical, dental, and vision plans, matching 401K, unlimited PTO and paid holidays, parental/adoption leave, legal insurance, a home internet stipend, and pet insurance! IonQ's HQ is located in College Park, Maryland, just outside of Washington DC. We are actively building out our recently opened manufacturing and production facility in Bothell, WA (near Seattle). Depending on the position, you may be required to be near one of our offices in College Park, Seattle, Toronto, Canada, and Basel, Switzerland. However, IonQ will expand into additional domestic and international geographies, so don’t let this stop you from applying! At IonQ, we believe in fair treatment, access, opportunity, and advancement for all while striving to identify and eliminate barriers. We empower employees to thrive by fostering a culture of autonomy, productivity, and respect. We are dedicated to creating an environment where individuals can feel welcomed, respected, supported, and valued. We are committed to equity and justice. We welcome different voices and viewpoints and do not discriminate on the basis of race, religion, ancestry, physical and/or mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, transgender status, age, sexual orientation, military or veteran status, or any other basis protected by law. We are proud to be an Equal Employment Opportunity employer. US Technical Jobs. The position you are applying for will require access to technology that is subject to U.S. export control and government contract restrictions. Employment with IonQ is contingent on either verifying “U.S. Person” (e.g., U.S. citizen, U.S. national, U.S. permanent resident, or lawfully admitted into the U.S. as a refugee or granted asylum) status for export controls and government contracts work, obtaining any necessary license, and/or confirming the availability of a license exception under U.S. export controls. Please note that in the absence of confirming you are a U.S. Person for export control and government contracts work purposes, IonQ may choose not to apply for a license or decline to use a license exception (if available) for you to access export-controlled technology that may require authorization, and similarly, you may not qualify for government contracts work that requires U.S. Persons, and IonQ may decline to proceed with your application on those bases alone. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. US Non-Technical Jobs. Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. Accordingly, we will have some additional questions regarding your immigration status that will be used for export control and compliance purposes, and the answers will be reviewed by compliance personnel to ensure compliance with federal law. If you are interested in being a part of our team and mission, we encourage you to apply!

1Password is growing faster than ever. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing and the Utah Mammoth. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. We're thrilled to be scaling out a new team at 1Password to keep our customers secure as they adopt AI, and we're looking for a Senior Developer to join us. This is a unique opportunity to define innovative ideas, shape our technical direction, and contribute to the execution of greenfield projects in the rapidly evolving field of AI. We’re _ for how AI and agentic workflows are secured. Our current focus is on access management for AI agents, ensuring they can safely and seamlessly interact with other software and systems while keeping the credentials used in this exchange secure. We work across a wide-ranging tech stack in a fast-moving space. Our projects span across client-side and system-level logic to back-end systems. You’ll bring a breadth of experience that allows you to quickly jump in new tech stacks and domains and help us create and shape new products and features for this emerging market. This is a remote opportunity within Canada and the US. What we're looking for: You have 2+ years of experience in software development Experience with a modern backend language (e.g. Go, Node.js, Ruby, or Python). A drive for and proven experience in software development best practices, and coding standards You enjoy solving moderately complex problems with a demonstrated ability to tackle problems and propose effective solutions You like communicating and collaborating and can demonstrate experience in working effectively with team and communicating technical concepts to non-technical cross-functional partners You’re passionate about testing methodologies and debugging techniques to ensure high-quality code Bonus points for: Strong understanding of authentication, authorization, and identity concepts (OAuth, OIDC, scoped access, policy enforcement) Familiarity with MCP servers Some experience with Kotlin, Swift, Rust, JavaScript, Go, or related languages. Or a demonstrated ability to pick up new languages quickly. Experience working with distributed systems at scale, demonstrating best practices around monitoring, observability, performance and reliability What you can expect: Code, test, debug, deliver and maintain production software systems for new and existing product features Collaborate with cross functional teams and/or stakeholders throughout the development cycle to ensure smooth releases Work with your teammates and project manager to communicate technical requirements to stakeholders and solve technical problems in a scalable and realistic way Mentor junior and new team members by helping them understand team expectations, providing technical guidance, sharing knowledge, and engaging in pair programming sessions Participate in planning by identifying major tasks and breaking down, estimating, and planning work Write comprehensive tests during various stages of the development cycle, ensuring code is functioning as expected Review code for others to maintain high code quality, knowledge share within the team, and support creating a safe environment of giving and receiving feedback Generate and review documentation on code processes to ensure scalability Stay informed about the latest industry trends, technologies, and best practices in development Be available for on-call rotational work to ensure uninterrupted support and resolve emergencies USA-based roles only: The annual base salary for this role is between $123,000 USD and $172,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $111,000 CAD and $155,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, _. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing . For additional information see our _.

At Serko, we believe something incredible happens when people come face-to-face. That’s why we’re on a mission to engineer a frictionless, next-generation business travel marketplace. We don’t just manage travel; we are leveraging advanced AI and cutting-edge tech to eliminate the complexity of global movement. When you join Serko, you join a global collective of passionate technologists who show up as their true selves to build world-class products. With established hubs across New Zealand, Australia, North America, India and China - your code and ideas will impact millions of corporate travelers worldwide. If you're ready to challenge the status quo and build the future of travel tech, your next journey starts here. In this role, you will champion the developer experience by building the internal platform and tooling that every AI engineer at our company trusts and relies on. You’ll craft intuitive dashboards, user-friendly CLI tools, clean APIs, and elegant automation. We’re hiring 2 x Senior Full Stack Engineer to own the end-to-end development of our next-gen AI products. Your work will ensure that deploying and operating AI models is a seamless, safe, and empowering self-service journey, allowing our entire engineering community to thrive and scale together. What You’ll Do Craft Beautiful Internal UIs: Develop intuitive and accessible internal platform interfaces—such as dashboards, model registries, and experiment trackers—using React and Next.js to elevate our internal developer experience. Nurture Backend Infrastructure: Design and support reliable backend services and APIs in Python, ensuring our application teams can seamlessly tap into the platform's full capabilities. Build Safe, Sustainable Automation: Create and refine thoughtful automation for model deployment, rollbacks, and scaling workflows using scripts, APIs, and Infrastructure as Code (IaC), embedding safety and predictability into every release. Cultivate System Visibility: Weave monitoring and observability tools (such as Grafana, Prometheus, DataDog, and LangSmith) directly into the platform, giving our teams the clarity and insights they need to succeed. Champion Code Quality & Trust: Write comprehensive testing, evaluation, and validation logic for machine learning pipeline components to ensure high reliability and product excellence. Partner with Internal Teams: Act as a supportive resource for our internal engineering community, listening to their experiences and gathering empathetic feedback to continuously iterate on our tooling. Share Knowledge Generously: Foster a collaborative environment by documenting systems clearly and contributing to engineering wikis and runbooks so that the entire team can grow together. What you'll bring We believe that exceptional engineering stems from continuous growth and diverse experiences. We are looking for a collaborative partner who has spent 5+ years honing their craft in full-stack engineering and wants to make a lasting impact on our developer community. You will be a great fit if you bring: Core Backend Comfort: A deep comfort with Python, paired with hands-on experience building dependable backend services and clean REST APIs. An Eye for Internal Tooling: A genuine appreciation for crafting responsive dashboards and internal tools using TypeScript and React. Production AI Experience: Experience caring for and managing machine learning-based applications within a live production ecosystem. Cloud & DevOps Literacy: A foundational comfort navigating cloud platforms (AWS, GCP, or Azure), alongside a basic understanding of Docker and Kubernetes. A Collaborative Spirit: A history of working hand-in-hand with data or machine learning engineering teams, respecting and learning from different technical perspectives. Understanding of System Flow: A solid foundational understanding of databases, job queuing systems, and asynchronous workflows. Creative Problem-Solving: A natural curiosity and comfort when facing open-ended or ambiguous technical challenges, with the ability to turn abstract ideas into structured, clear steps forward. At Serko, we aim to create a place where people can come and do their best work. This means you’ll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact. Some of the benefits of working at Serko are: • A competitive base pay, • Medical Benefits, • Discretionary incentive plan based on individual and company performance, • Focus on development: Access to a learning & development platform and opportunity for you to own your career pathways, • Flexible work policy, • The pay range is between $152,000 - $230,000 USD as a base salary offering annually. A Note on Work Authorization: Applicants must be authorized to work for any employer in the U.S. At this time, we are unable to provide sponsorship or assume sponsorship for employment visa status (e.g., H-1B visa status).

Are you ready to take the helm in shaping the future of tactical mission autonomy, standing shoulder-to-shoulder with trailblazers who are turning cutting-edge dreams into tangible reality? As a vital member of the growing EpiSci team, your influence will be immediate and transformative as we propel towards a future where security and autonomy unite in unprecedented ways. EpiSci isn't just another company; we're a rapidly ascending force of innovation, forging ahead with next-gen tactical mission autonomy technologies that span defense, aerospace, and commercial domains. At our core, we wield the latest advancements in artificial intelligence, autonomy algorithms, wireless communications, and digital signal processing to surmount the most formidable national security challenges. Our Tactical AI prowess is nothing short of extraordinary, offering robustness, dependability, and a rapid adaptability that thrives on the frontlines of emerging missions and obstacles. Picture developing AI aviators for cutting-edge aircraft like the F-22 and F-16, revolutionizing wireless tactical communication systems, and fueling the skies with swarms of autonomous UAVs supercharged by sensor fusion. As a Microservices Software Engineer at EpiSci, your role is pivotal, entailing dynamic endeavors that encompass designing and actualizing architectures and systems across a spectrum of Tactical autonomy applications. Here, you won't just follow the norm; you'll be crafting groundbreaking, hybrid autonomous algorithms that redefine the boundaries of both commercial and defense applications. The challenge is profound and the rewards are immeasurable, as you build superior systems that empower our military with unrivaled capabilities. We understand and cherish the richness that diverse perspectives and backgrounds bring to the table. At EpiSci, we wholeheartedly invite every exceptional individual, regardless of their journey, to join our ranks and become a driving force behind the secure and autonomous world of tomorrow. Your future at EpiSci awaits—ignite your potential and let's redefine what's possible, together. Don't meet every single requirement? At EpiSci, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at EpiSci. \n Responsibilities • Create and integrate software microservices that operate real autonomous aircraft systems including F16 fighter jets, group 1-5 unmanned aerial vehicles (UAVs), as well as simulated models to accomplish tactical military missions., • Collaborate with autonomy engineers to implement production level microservice architectures to control autonomous UASs., • Establish and improve software testing and debugging tools for autonomy solutions implemented as service-oriented architectures., • Implement, leverage and refactor, and improve state-of-the-art unmanned aerial system (UAS) autonomy algorithms in programming languages for the following autonomy categories to perform tactical military missions:, • Autonomy loops such as: “Sense, Make Sense, Decide, Act (SMDA)”, “Observe, Orient, Decide, Act (OODA)” loops., “Perceive, Decide, Act’ (PDA)” loops., • Sense: Environment sensing and modeling, computer vision, sensor processing, classification, anomaly detection., • Make Sense: Environment mapping, data interpretation, 3D voxel grids, GeoGrids, WGS84, aerospace coordinate systems and reference frames (north east down (NED), Geocentri & Geodetic latitudes, Earth-centered-inertial (ECI), earth centered earth fixed (ECEF)), no fly zones, keep-in/keep-out zones. Sensor fusion and target tracking, etc. Find, fix, track, target (F2T2)., • Decide: State machines, behavior trees, optimization algorithms, constraint solving, classic algorithms (A, RRT, DFS, BFS, Branch & Bound, Random Forests), heuristics, optimization, Kalman filters, particle filters, etc. Artificial intelligence techniques such as deep reinforcement learning, reinforcement learning, machine learning, neural networks, supervised learning, unsupervised learning, generic algorithms, Bayesian networks, fuzzy logic, etc., • Act: Autonomous 2D & 3D UAS trajectory/motion planning, route planning, SLAM. Classical controls systems, optimal control systems, adaptive control systems, model predictive control systems, especially for integration of 3rd party UAS autopilots. Guidance, navigation, and controls (GNC)., • Build, leverage, and improve robotic autonomy software architectures that can be deployed on real systems to accomplish military missions (including publish/subscribe architectures)., • Design autonomy software in collaboration with autonomy engineers that supports full integration with aircraft autopilots, datalinks, sensors, PNT/GPS/INS, ground control stations, etc., • Support live flight test of autonomy software on aircraft such as F16s, and group 1-5 unmanned aerial vehicles (UAVs)., • Collaborate with 3rd party UAS vehicle vendors on the integration of EpiSci autonomy software onto OEM UAS hardware., • Collaborate with domain experts and prior DoD warfighters (ex. DoD fighter pilots) to build software autonomy solutions for military missions. Minimum Qualifications • Education Requirements:, • Master’s degree in computer science/related engineering field., • 6+ years of hands-on experience developing Python, and Rust software for autonomous robotic systems., • Technical Requirements:, • Experience in developing software for autonomous robotic systems in Python, and Rust, • Strong procedural and object-oriented programming experience that employs clean code principles and good design patterns., • Strong software architecture design experience., • Experience developing in Docker and containerized development environments, and using Linux-based operating systems (e.g., RHEL, Ubuntu)., • Experience using git, Visual Studio Code, GitLab, SonarQube, Azure Container registry., • Experience using microservice development and testing tools such as Kubernetes, Pytest, Grafana, Postman, and Hoverfly., • Experience with cross-language schema development and maintenance using tools such as Protobuf., • Additional Requirements:, • Passion for solving complex problems with little supervision in a fast-moving team., • Ability to balance multiple priorities in a fast-paced, highly collaborative, frequently changing, and sometimes ambiguous environment., • Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate across multiple teams., • Travel Requirements, • Must be willing to travel as projects requires. Estimated average travel is once every other month for between 2 days up to 1 week. (~20%), • Location Requirements, • Remote., • Security Requirements, • (MANDATORY) Must be a U.S. Citizen., • (MANDATORY) Must be eligible for a U.S. SECRET security clearance with Special Access Program (SAP) eligibility. Preferred Qualifications • Education Requirements:, • Master’s degree in computer science/related engineering field., • 9+ years of experience developing software for autonomous robotic systems in multiple programming languages., • Technical Requirements:, • Familiarity with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) development and testing., • High proficiency in modern C++ (2011, 2017, 2020, smart pointers, etc.) w/CMAKE in Docker-based Linux environments., • Familiarity with military architecture standards such as OMS UCI., • Experience creating and modifying CI/CD pipelines to automate developer tasks., • Experience working projects related to national security for one or more government agencies., • Interdisciplinary background, with evidence of continual learning., • Security Requirements, • (MANDATORY) Current U.S. SECRET security clearance with Special Access Program (SAP) eligibility. \n$100,000 - $190,000 a year\n EpiSci is proud to be an equal opportunity and affirmative action employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity or Veteran status. We value our differences and we’re excited to learn what you can add to our team. Don't meet every single requirement? At EpiSci, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at EpiSci.

A little about us…Fleetio is a modern software platform that helps thousands of organizations worldwide manage their fleet operations. Transportation technology is a hot market, and we’re leading the charge with raving fans and new customers signing up every day. We raised $450M in our Series D funding round in March of 2025 and are on an exciting trajectory as a company. Fleetio is also a proud _! More about our team and company: • Fleetio overview video: _, • Our careers page: _ Fleetio is seeking a Staff Software Engineer to be the founding engineer on our new Leverage team. The Leverage team's mandate is to make every person at Fleetio more productive by building the knowledge infrastructure that connects our internal data to the AI tools employees already use every day. At other companies, this work falls under "productivity engineering" or "internal tools." We call it Leverage because the scope is broader: serve the entire company, not just engineering. This is not a blank slate. Fleetio engineers are already using AI tools daily, and an organic ecosystem of shared skills and integrations has emerged across the engineering org. You will build on that momentum, not start from zero. Your job is to add the enterprise capabilities this ecosystem needs to scale: identity and auth, structured access to internal data, governance, and quality standards. You will design and build the context layer that connects Fleetio's distributed knowledge to the AI tools our team already uses. You will work directly with the Leverage team lead, and together you will define the technical direction for everything this team builds. This is a remote opportunity open to candidates in the United States, Canada, or Mexico. • Watch our culture videos: _, • Engineering culture, interview process, and videos: _, • Fleetio Go overview video: _, • More about the Fleetio platform: _, • API docs: _, • Test drive Fleetio to get an even better feel for what we're building: _ This is a remote opportunity and is open to candidates in the United States, Canada, or Mexico. You are a staff-level, systems-minded engineer who gets energy from building tools that make other people more effective. You have deep experience integrating across SaaS APIs and are comfortable navigating the messiness of inconsistent auth models, pagination, rate limits, and data formats. You would rather build one system that enables 50 integrations than build 50 one-off integrations. You are comfortable operating in ambiguous, cross-functional spaces. You talk to users before you write code. You care about adoption, not just shipping, and you understand that internal tools fail when they have bad UX or no adoption strategy. You bring strong opinions about developer productivity, loosely held, and you communicate clearly with both engineers and non-technical stakeholders. You are product-minded and team-oriented, willing to hear others' perspectives and educate on best practices. Excellent communication skills, particularly written, are essential. • Design and build the knowledge infrastructure that gives AI tools at Fleetio structured access to company context. The form this takes (an API layer, a CLI, an SDK, agent configuration, protocol servers, or something new) is a decision you will help make., • Build integrations that connect Fleetio's internal knowledge sources (project management, documentation, code, data warehouses, communication tools) into a consistent, secure context layer with identity passthrough., • Design the system so other teams can extend it. Whether that means spoke templates, plugin architectures, or shared configuration patterns, the goal is to scale beyond what a small team can maintain directly., • Partner with teams across Fleetio to identify where missing context creates the most friction, and build the integrations that close those gaps. This is not engineering-only: Product Managers need AI tools that understand product strategy and customer data; designers need access to design systems and user research; Customer Success needs account history and help center content., • Take ownership of CI/CD intelligence, making pipelines fast, reliable, and trustworthy as AI-accelerated development increases code velocity., • Define and own the measurement framework for AI adoption and internal tool impact across the company. Track what works, surface what doesn't., • Champion AI-first documentation practices: structure internal docs so AI tools can consume them effectively (coding examples, machine-parseable formats, clear interface descriptions)., • Collaborate closely with the Platform/SRE team (they own infrastructure; we build the tooling and knowledge layer on top) and with Product Managers, Designers, and Engineers across the organization., • Produce well-tested, maintainable, and performant code. Thoroughly review your peers' code to ensure quality, maintain consistency, and share knowledge., • Contribute enterprise-grade capabilities to Fleetio's existing internal AI tooling ecosystem: identity and auth for protected systems, governed data access, cross-system queries, and quality patterns that help the ecosystem scale., • Establish the technical standards for the Leverage team. As the founding engineer, your decisions on architecture, tooling, and code quality will set the bar for everyone who follows., • 5+ years of professional experience building production software, • Strong integration engineering skills: comfort working across dozens of APIs, authentication schemes (OAuth, API keys, SAML, service accounts), data formats, and rate limits, • Experience with protocol-based architectures (MCP, LSP, or similar), SDKs, CLI tooling, or developer platform design. You understand how to expose structured data to client tools in a way that scales., • Full-stack capabilities: you will build backend services, CLI tools, and internal UIs, • Experience with identity and access management (Okta, SSO, or similar) and understanding of how to pass user identity through to downstream systems, • Experience building and consuming APIs and working with external integrations, • Solid experience solving challenging architecture problems with good design, • Experience with unit testing frameworks and CI/CD pipelines, • Excellent communication skills, particularly written, • Be sure to mention "coffee" in your application so we know you actually read this, • Comfort working in a Rails shop, • Experience building internal tools, developer platforms, or developer experience tooling, • Track record integrating across multiple SaaS APIs, with firsthand knowledge of inconsistent auth, pagination, and rate limiting, • Experience on a small team (2-5 people) where you owned significant portions of the product, • Hands-on experience with AI coding tools (Copilot, Codex) and an understanding of what makes them effective vs. ineffective, • Experience at a company that invests seriously in internal tooling (Stripe, Shopify, Block, etc.), • Familiarity with workflow automation platforms (n8n, Zapier, Workato, or similar), • Experience contributing to or maintaining shared developer tooling ecosystems (internal package registries, shared libraries, plugin systems), • Familiarity with AI agent skill/tool architectures (Codex skills, MCP tools, function calling patterns), • Experience with Snowflake, PostgreSQL, or similar data platforms, • You know a thing or two about the fleet management industry, • Multiple health/dental coverage options (100% coverage for employee, 50% for family), • Vision insurance, • Incentive stock options, • 401(k) match of 4%, • PTO - 4 weeks (increases at year two!), • 12 company holidays + 2 floating holidays, • Parental leave - birthing parent (16 weeks paid) non-birthing (4 weeks paid), • FSA & HSA options, • Short and long term disability (short term 100% paid), • Community service funds, • Professional development funds, • Wellbeing fund - $150 quarterly, • Business expense stipend - $125 quarterly, • Mac laptop + new hire equipment stipend, • Fully stocked kitchen with tons of drinks & snacks (BHM only), • Remote working friendly since 2012 #LI-REMOTE Fleetio provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment. We celebrate diversity and are committed to creating an inclusive environment for all. All employment is decided on the basis of qualifications, merit and business need. This application is not intended to and does not create a contract or offer of employment. Employment with Fleetio is at will. If you have a disability or a special need that requires an accommodation to fill out the online application, please let us know by calling (205) 718-7500.

Socure is building the identity trust infrastructure for the digital economy — verifying 100% of good identities in real time and stopping fraud before it starts. The mission is big, the problems are complex, and the impact is felt by businesses, governments, and millions of people every day. We hire people who want that level of responsibility. People who move fast, think critically, act like owners, and care deeply about solving customer problems with precision. If you want predictability or narrow scope, this won’t be your place. If you want to help build the future of identity with a team that holds a high bar for itself — keep reading. Socure is the leading provider of digital identity verification and fraud prevention solutions, leveraging AI and machine learning to power the most accurate decisions. Our mission is to eliminate identity fraud and ensure online trust across industries. As a Staff Data Scientist for RiskOS, you will sit at the intersection of platform data science, fraud and risk analytics, and Generative AI. You will own end‑to‑end development of data‑driven solutions on the RiskOS platform—from heavy‑duty data exploration and cleaning, through modeling and GenAI agent design, all the way to production deployment and monitoring. You will leverage your expertise in fraud and risk management to help develop and integrate robust detection and decisioning models, and your experience with Generative AI to design, evaluate, and operationalize LLM‑powered tools that improve analytics, workflows, and case investigations. You will collaborate closely with engineering and platform teams to build scalable, production‑grade pipelines and services, and with product and risk leaders to ensure RiskOS delivers actionable insights, self‑serve analytics, and best‑in‑class fraud prevention at scale. This is a highly collaborative, hands‑on technical leadership role for someone who enjoys owning complex data problems end‑to‑end and acting as a force multiplier for other data scientists and product teams. Develop and implement advanced analytics on top of noisy, heterogeneous RiskOS data to understand user behavior, product usage, fraud patterns, and workflow effectiveness; translate findings into concrete product and risk strategy improvements. Architect and build scalable data pipelines and production ML workflows, collaborating with data engineering to ensure robust, reliable, and efficient data processing for both batch and streaming use cases. Lead the design, execution, and analysis of experimentation frameworks to optimize user journeys, feature adoption, and workflow performance across the RiskOS platform. Lead the creation and evaluation of Generative AI solutions (LLMs, agents, prompt‑based tools) that automate analytics, power case review and investigation assistants, streamline documentation, and enhance RiskOS workflows and reporting. Define rigorous evaluation frameworks for GenAI solutions, including offline benchmarks, human‑in‑the‑loop review, safety and hallucination checks, and impact measurement in production. Partner with platform and engineering teams to define and build core RiskOS data science infrastructure, including feature stores, model‑serving APIs, evaluation services, and monitoring frameworks for both traditional ML and GenAI systems. Own end‑to‑end deployment of production‑grade solutions: packaging models and GenAI workflows, integrating with RiskOS services, establishing SLAs, and instrumenting telemetry, alerting, and feedback loops. Develop and automate tools for model evaluation, stress testing, backtesting, and adversarial scenario simulation to ensure robustness and operational resilience—especially in high‑risk fraud and compliance contexts. Enable product and risk teams through self‑serve analytics and tools: build dashboards, template analyses, and GenAI‑driven assistants that help non‑technical users explore RiskOS data, tune workflows, and debug decisions. Collaborate cross‑functionally with product, engineering, risk, solution consulting, and customer‑facing teams to translate business requirements into data‑driven solutions and actionable insights, particularly for fraud and risk use cases on RiskOS. Mentor and provide technical guidance to other data scientists and analysts, modeling best practices in experimentation, software engineering hygiene, GenAI safety, and rigorous model evaluation. Ensure all solutions adhere to best practices in data privacy, security, and compliance, especially when handling sensitive PII and financial data in regulated fintech and public‑sector environments. Contribute to company‑wide standards for ML and GenAI explainability, risk evaluation, feature logging, and documentation, helping raise the overall AI bar across Socure. Communicate complex technical concepts and findings clearly to both technical and non‑technical stakeholders, including executive leadership and external partners. Master’s or PhD in Computer Science, Machine Learning, Statistics, Engineering, or a related quantitative field, or equivalent professional experience. 6+ years of hands‑on experience in data science, machine learning, or high‑scale data engineering roles, with a proven track record in fraud prevention, risk analytics, or complex decisioning systems. Strong experience applying Generative AI in production or near‑production contexts, including: Building and evaluating LLM‑based applications or agents (e.g., retrieval‑augmented generation, workflow assistants, data‑insight copilots). Prompt design and optimization, safety and guardrail techniques, and quantitative/qualitative evaluation of LLM outputs. Deep proficiency in Python and SQL, with hands‑on experience using ML frameworks such as scikit‑learn, XGBoost, TensorFlow, or PyTorch, plus modern GenAI/LLM tooling (e.g., OpenAI/Anthropic APIs, Hugging Face ecosystems, orchestration frameworks). Demonstrated experience building and maintaining scalable data pipelines and deploying ML models in production environments, ideally involving streaming or near‑real‑time data and modern data platforms (e.g., Databricks, Spark, PySpark, BigQuery, or similar). Solid understanding of data engineering concepts, including ETL, data warehousing, schema design, and distributed computing. Experience with platform‑oriented data science: working with feature stores, model‑serving infrastructure, CI/CD for ML, automated monitoring, and feedback collection workflows. Hands‑on experience wrangling messy, high‑volume datasets: designing robust cleaning, normalization, and quality‑control processes; reasoning under missing or biased data; and building reusable data abstractions for other users. Familiarity with privacy‑preserving ML techniques, secure data handling, and regulatory requirements in fintech, credit, or public‑sector environments is strongly preferred. Proven ability to collaborate effectively in cross‑functional, fast‑paced teams; strong communication skills with comfort presenting trade‑offs and recommendations to senior stakeholders. Product‑minded and outcome‑oriented: you care about how models and GenAI tools are used, how they shape user experience and risk posture, and how to measure their real‑world impact. Direct experience with fraud/risk modeling, identity verification, or trust & safety. Prior work on orchestration platforms, case‑management tools, or rules/decision engines. Experience mentoring senior ICs and setting technical direction for a small data science group. Please note that we are unable to provide sponsorship for this role; now or in the future. Socure is an equal opportunity employer that values diversity in all its forms within our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you need an accommodation during any stage of the application or hiring process—including interview or onboarding support—please reach out to your Socure recruiting partner directly. Follow Us! | | |

We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You will build data products to extract valuable business insights, analyze trends and help us make better decisions. We expect you to be highly analytical with a knack for analysis, math and statistics, and a passion for machine-learning and research. Critical thinking and problem-solving skills are also required. Research and detect valuable data sources and automate collection processes Perform preprocessing of structured and unstructured data Design, implement and deliver maintainable and high-quality code using best practices (e.g. Git/Github, Secrets, Configurations, Yaml/JSON) Review large amounts of information to discover trends and patterns Create predictive models and machine-learning algorithms Modify and combine different models through ensemble modeling Organize and present information using data visualization techniques Develop and suggest solutions and strategies to business challenges Work together with engineering and product development teams 3+ years' experience of working on Data Scientist or Data Analyst position Significant experience in data mining, machine-learning and operations research Experience with data modeling, design patterns, building highly scalable and secured solutions preferred Prior experience installing data architectures on Cloud providers (e.g. AWS,GCP,Azure), using DevOps tools and automating data pipelines Good experience using business intelligence/visualization tools (such as Tableau), data frameworks (such as Hadoop, DataFrames, RDDs, Dataclasses) and data formats (CSV, JSON, Parquet, Avro, ORC) Advanced knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset • MA or PhD degree in Computer Science, Engineering or other relevant area; graduate degree in Data Science or other quantitative field is preferred, • Must be a U.S. Citizen

1Password is growing faster than ever. We’ve surpassed $400M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing and the Utah Mammoth. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Extended Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. Inbound discovery is the lifeblood of our growth engine. Organic channels drive meaningful scale across both our B2C and B2B businesses — serving millions of consumers and helping acquire thousands of new businesses every quarter. As discovery and research behavior rapidly evolves toward AI-driven and answer-based experiences, how 1Password is discovered has never been more critical. This is one of the largest and most consequential SEO roles in technology today, operating at global scale, high velocity, and with direct impact on company growth. We’re seeking a tenacious, data-thirsty Senior Manager of SEO, GEO, and AEO, who can lead and improve search visibility across traditional web search, AI-driven answer ecosystems across our global presence. You’ll be a strategic voice in growth planning and a hands-on leader who defines how 1Password gets discovered everywhere users engage, chat and search. This role is responsible for 1Password’s global organic discovery strategy, spanning: SEO (traditional search engines and SERPs) GEO (Generative Engine Optimization) — visibility in AI-powered summaries and generative experiences AEO (Answer Engine Optimization) — structured, conversational, and intent-driven discovery Reporting to the Director, Growth & Web Experience, you will define the strategy, set priorities, and lead execution through collaboration across Growth, Web, Content, and Product Marketing to meet our business objectives. Success will be born out of strong cross-functional leadership, the hands-on application of your expertise and delivering results. This is a remote opportunity within Canada and the US. What we're looking for: 8+ years of experience in SEO or organic growth, with ownership of strategy at a global, multi-market scale, with at least 2 years managing people. Demonstrated experience leading international and multilingual SEO, including hreflang, localization strategy, and regional prioritization. Strong understanding of B2C and B2B search behavior, ideally within SaaS or technology products. Hands-on experience partnering with Web, Content, PMM, and Engineering teams to execute at scale. Deep curiosity and working knowledge of GEO, AEO, and AI-driven search trends, with the ability to turn ambiguity into action. Exceptional program and stakeholder management skills, with the ability to own large-scale initiatives end-to-end—from requirements through delivery and impact measurement. Bonus points for: Experience in security, identity, developer tools, or technical products. Prior ownership of SEO strategy supporting both PLG and SLG funnels. Experience influencing roadmap decisions without direct authority. Experience working in security industry What you can expect: Global Organic Discovery Strategy Develop and execute an end-to-end global SEO, GEO, and AEO strategy aligned with 1Password’s growth goals and Identity Security positioning. Lead international search strategy across multiple languages and countries, with a strong initial focus on North America and EMEA, balancing global scale with local nuance. Your ultimate measure of success will be ensuring 1Password is a top organic search result for critical terms in all of our key markets. Ensure 1Password is discoverable across the full spectrum of user intent — awareness, evaluation, and adoption — for both individuals and businesses. AI-Driven & Answer-Based Discovery Define how 1Password optimizes for generative search experiences, AI summaries, and answer engines — translating emerging platforms into practical, testable strategies. Your ultimate measure of success will be leading services such as ChatGPT and Gemini listing 1Password when asked for advice and recommendations falling inside the scope of our product capabilities Partner with content, web, and PMM teams to evolve information architecture, structured data, and content formats that perform in both classic and AI-driven discovery. Establish best practices and internal education around GEO and AEO as the landscape evolves. Technical & On-Page Excellence at Scale Own technical SEO fundamentals across a large, global site to optimize and improve on the following: crawlability, indexation, site architecture, performance, and hreflang strategy, etc. Partner closely with Web and Engineering to ensure SEO considerations are built into platform decisions, CMS capabilities, and new launches. Ensure metadata, templates, and content systems scale effectively across languages and markets. Measurement, Insights & Influence Define success metrics across SEO, GEO, and AEO — including rankings, visibility, AI presence, engagement quality, and conversion impact, and continually optimize to meet and exceed the business objectives for contribution to the business. Build clear reporting and insights that help stakeholders, including the Executive Leadership Team, understand what’s working, what’s changing, and where to invest next. Act as the voice of organic discovery across marketing and web — influencing roadmaps, priorities, and experiments. Team Leadership & Development Lead and develop a team of SEO/GEO marketers. Provide clear direction, coaching, and feedback to help team members grow as strategic marketers and operators. Establish clear goals, expectations, and accountability while empowering the team to test, learn, and improve. USA-based roles only: The annual base salary for this role is between $149,000 USD and $216,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $139,000 CAD and $202,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, _. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing . For additional information see our _.

At Tiger Data, formerly Timescale, we empower developers and businesses with the fastest PostgreSQL platform designed for transactional, analytical, and agentic workloads. Trusted globally by thousands of organizations, Tiger accelerates real-time insights, drives intelligent applications, and powers critical infrastructure at scale. As a globally distributed, remote-first team committed to direct communication, accountability, and collaborative excellence, we're shaping the future of data infrastructure, built for speed, flexibility, and simplicity. As Head of Customer Experience at Tiger Data 🐯, you will lead the teams responsible for how customers adopt, grow, troubleshoot, and succeed with Tiger Data after they buy. This is a pivotal role for a pivotal moment. Tiger Data is expanding into larger enterprise accounts, and we need a senior customer leader who can help us build the operating system for that next stage of growth: how we serve customers, how Customer Success and Technical Support work together, how we partner with Pre-Sales and Implementation, how we surface customer signal back into Product and Engineering, and how we turn great customer experience into retention, expansion, and trust. This is not a “manage from the sky” role. You’ll lead managers and build scalable systems, but you’ll also be close to the work: jumping into customer escalations, pressure-testing processes, coaching leaders, inspecting account health, and helping the team make crisp decisions when the playbook is still being written. We need someone who can zoom out to design the system, then zoom back in to fix the handoffs, coach the team, and help unblock a customer escalation. You will report to our VP of Engineering and lead the Customer Success and Technical Support organizations. 📍 This role is remote. We are open to candidates in North or South America. Due to the distributed nature of our team and customer base, flexibility working across Europe and US time zones is a requirement. What you will be responsible for in this role: Leading Tiger Data’s Customer Success and Technical Support organizations, including managers and highly technical customer-facing teams. Building and operationalizing Tiger Data’s customer experience strategy for our next phase of growth, especially as we expand into larger enterprise accounts. Partner to define clear ownership across Customer Success, Technical Support, Pre-Sales, Implementation, Sales, Product, and Engineering so customers experience one Tiger Data team, not internal handoffs. Designing customer segmentation, engagement models, escalation paths, support coverage, success planning, health scoring, and renewal/expansion motions that scale. Driving measurable improvements in adoption, retention, gross revenue retention, net revenue retention, expansion, customer satisfaction, time-to-resolution, support quality, and executive visibility into customer health. Acting as the executive voice of the customer internally, turning customer trends, escalations, support patterns, and adoption signals into clear recommendations for Product, Engineering, GTM, and company leadership. Building the next generation of customer operating rhythms: QBRs/EBRs, escalation reviews, customer health reviews, renewal risk reviews, expansion planning, support quality reviews, and executive customer reporting. Coaching and developing managers while staying hands-on enough to understand the reality of the team’s work, customer pain points, and operational gaps. Using AI thoughtfully to improve the customer experience and team productivity, including support workflows, knowledge management, customer health insights, escalation analysis, team enablement, and customer communication quality. Hiring, developing, and retaining high-performing customer leaders and individual contributors who can operate with urgency, technical curiosity, ownership, and customer empathy. Building systems and processes that make the team sharper, faster, and more accountable, without slowing down the startup pace that makes Tiger Data work. You could be a great fit if you: Have significant experience leading Customer Success, Technical Support, Customer Experience, or post-sales teams in a high-growth B2B SaaS, infrastructure, database, developer tools, cloud, or technical platform company. Have managed managers and led teams that include highly technical customer-facing talent, such as Technical Support Engineers, Customer Success Managers, Solutions Engineers, TAMs, or similar roles. Have built or transformed post-sales operating models for enterprise customers, including segmentation, health scoring, adoption motions, renewal risk management, support models, escalation processes, and expansion partnership with Sales. Understand how to serve technical customers. You do not need to be an engineer, but you need enough technical depth to build credibility with database, infrastructure, platform, and developer audiences. Can operate at both strategic and tactical altitude: you can define the customer experience vision, communicate it to executives, and then jump into the messy details of churn risk, support escalations, or broken handoffs. Have strong executive presence with customers and internal leaders, including the ability to navigate high-stakes escalations, renewals, expansion conversations, and roadmap trade-offs. Know how to partner deeply with Sales, Pre-Sales, Implementation, Product, and Engineering without creating turf wars. You clarify ownership, reduce friction, and make the customer journey easier to run. Are highly metrics-driven and can use data to diagnose customer risk, support quality, adoption patterns, renewal health, expansion opportunities, and team performance. Have strong AI fluency and curiosity. You are already using, testing, or designing AI-enabled workflows to improve productivity, insight quality, customer communication, knowledge management, or operational scale. Are a strong talent builder: you know how to coach managers, set a high bar, give direct feedback, build accountability, and create a team culture that is both high-empathy and high-performance. Thrive in a startup environment where the job is not just to “own the function,” but to build the function while the company is moving fast. Believe that organizations are strongest when they reflect the diversity of the world around them and actively work to make that a reality. You might not be a great fit if you: You want a fully mature enterprise CS and Support machine where the systems, roles, handoffs, dashboards, and escalation paths are already neatly defined. You prefer to manage through layers and dashboards instead of getting close to customers, managers, tickets, escalations, renewal risks, and process gaps. You are uncomfortable with technical products or do not want to learn deeply about databases, PostgreSQL, cloud infrastructure, performance, reliability, or developer/customer workflows. You see Customer Success, Technical Support, Sales, Implementation, Product, and Engineering as separate lanes rather than a single, connected customer experience. You are more comfortable creating a strategy than driving execution, inspecting the work, and holding teams accountable for outcomes. You struggle in fast-moving startup environments where priorities shift, information is imperfect, and leaders are expected to make clear decisions without waiting for perfect structure. You are not excited about using AI to improve how customer-facing teams operate, learn, respond, and scale. We respond to every applicant. We review applications fairly and objectively, and shortlist based on relevant skills and experience. We ensure clear and timely communication throughout your candidate journey. We maintain a rigorous interview process with a high bar, designed to give you the opportunity to meet various team members you'll collaborate with across our organization. Tiger Data, formerly Timescale, sets the standard as the fastest PostgreSQL platform for modern workloads. Trusted by more than 2,000 customers across 25+ countries and powering over 3 million active databases, we enable developers and organizations to build real-time, intelligent applications at scale. Backed by $180 million from top-tier investors, Tiger Data is building the new standard for data infrastructure, built on PostgreSQL, designed for the future. 👉 👉 Want to get a feel for how we work and what we value? Check out our blog post:_ We embrace diversity, curiosity, and collaboration. Whether debating the perfect chicken nugget crunch 🍗, sharing workout routines 💪, or discussing your favorite plants 🌱 and pets 🐾, you'll find your community here. We don't require previous experience with our tech stack, but enthusiasm for learning is key. Our technologies include PostgreSQL, Tiger Cloud, AWS, Go, Docker, Kubernetes, Python, and innovative features like Hypertables, Hypercore, vector search, and real-time analytics. Learn more at or follow us on Twitter (Please note that benefits may vary based on country.) Flexible PTO and comprehensive family leave Fridays off in August 😎 Fully remote opportunities globally Stock options for long-term growth Monthly WiFi stipend Professional development and educational resources 📚 Premium insurance options for you and your family (US-based employees) Ready to join the future of PostgreSQL? We can’t wait to meet you. 🚀🐯

GTM Engineer - GTM Engineer - DockMaster About Dockmaster.com Dockmaster.com is the leading marina management platform serving entertainment attractions and venues across the waterfront industry. Our software powers dock operations, reservations, billing, and guest experiences for marinas nationwide. We’re building a modern revenue engine to match our ambitions — and this role is at the center of that transformation. The GTM Engineer is a hybrid builder–operator who designs and maintains the technical infrastructure that powers Dockmaster’s revenue engine. Rather than manually running sales and marketing operations, you’ll build systems that automate, scale, and optimize them. You’ll sit at the intersection of engineering, data, and go-to-market strategy — turning workflows that take hours into systems that run in seconds. In short: you don’t just run the playbook — you build the machine that runs it. Working cross-functionally with Sales, Marketing, Product, and Professional Services. You’ll be embedded within the revenue team but operate with significant autonomy — think of yourself as the engineering arm of the go-to-market organization. Collaborates With Sales (SDRs, AEs), Marketing, Product, Data, Professional Services, Product Manager, Sales, Marketing Lead. Why Dockmaster • Ground-floor opportunity to build the entire GTM technical infrastructure from scratch, • Direct impact on revenue — your systems will power every dollar of new business, • Work alongside a leadership team that values speed, experimentation, and automation-first thinking, • Category-defining SaaS platform in a vertical with massive, untapped potential, • Autonomy to choose your tools, design your systems, and own the outcomes The successful candidate will be based anywhere in the US, working in a remote work model! What your day will look like: Sales Automation and Productivity • Build and maintain tools that dramatically increase SDR and AE productivity across the full sales cycle, • Design automated lead enrichment pipelines that append firmographic, technographic, and intent data to inbound and outbound leads in real time, • Build prospecting automation workflows that surface high-fit accounts based on ICP criteria and buying signals, • Architect CRM workflow automations in HubSpot to enforce pipeline hygiene, automate stage progression, and trigger internal notifications, • Develop AI-driven outbound messaging sequences that personalize at scale using prospect-specific context, • Create meeting booking automation to reduce scheduling friction and increase connect rates Growth, Infrastructure and Pipeline Generation • Create the systems that generate and nurture a pipeline without constant manual intervention, • Build automated outbound campaign engines that execute multi-channel sequences (email, LinkedIn, phone) on a defined cadence, • Develop AI-generated personalized outreach at scale, adapting messaging to prospective industry, role, and stage, • Implement data scraping and lead sourcing workflows to build targeted prospect lists from public data sources, • Create trigger-based prospecting systems (e.g., a marina raises funding or announces expansion → AI detects → personalized outreach generated → SDR notified), • Support product-led growth workflows that convert trial users into qualified pipeline AI-Powered GTM Leverage • AI across the revenue stack to give Dockmaster an outsized competitive advantage in speed and personalization, • Build and manage AI SDR assistants that handle initial prospect engagement, qualification, and handoff, • Develop AI-generated demo environments and personalized demo prep packets, • Create AI proposal and SOW generation tools that reduce deal cycle time, • Implement AI call summary and coaching workflows that feed insights back into the sales process, • Build AI-based prospective research tools that deliver actionable account briefs before every call Data and Revenue Analytics • Build the dashboards and models that give leadership real-time visibility into revenue performance, • Design pipeline analytics dashboards that track stage velocity, conversion rates, and bottlenecks, • Build and refine lead scoring models that prioritize the highest-value opportunities for sales, • Implement end-to-end conversion tracking across marketing and sales touchpoints, • Create experimentation analysis frameworks to measure the impact of GTM tests, • Develop attribution systems that connect marketing spending to closed revenue Experimentation and Rapid Growth Testing • Run a high-velocity experimentation program that continuously improves GTM performance, • Target: 10–20 experiments per month, • Test different ICP segments to identify under-penetrated verticals within the marina and entertainment industry, • A/B test outreach messaging across channels, personas, and value propositions, • Run pricing and packaging experiments in collaboration with product and finance, • Optimize the demo → POC → close conversion funnel with structured tests and measurement, • Document findings in a shared experiment log to build institutional knowledge Tech Stack and Tools: You’ll be expected to work fluently across the following (or equivalent) tools: • Category Tools CRM and Sales Engagement HubSpot (primary), Salesforce familiarity a plus, • Enrichment and Prospecting ZoomInfo, • AI and LLMs OpenAI APIs, Claude, custom AI workflows, • Data and Analytics SQL, Looker / Metabase / HubSpot reporting, Google Sheets, • Outreach and Sequencing HubSpot Sequences, Outreach, or equivalent, • Dev and Scripting Python, JavaScript/Node.js, REST APIs About You: • 3+ years of experience in revenue operations, sales engineering, growth engineering, or a technical GTM role, • Hands-on proficiency building automations in CRM platforms (HubSpot strongly preferred), • Working knowledge of APIs, webhooks, and integration platforms (Zapier, Make, or custom code), • Experience implementing AI/LLM-powered workflows in a business context, • Strong analytical skills with the ability to build dashboards and interpret pipeline data, • Bias toward action: you ship fast, measure results, and iterate, • Excellent cross-functional communication — able to translate between sales, marketing, and engineering, • Experience in B2B SaaS, ideally selling into niche or vertical markets, • Background in the marina, attractions, hospitality, or venue management space, • Proficiency in Python or JavaScript for building custom tools and scripts, • Familiarity with Clay, Apollo, or similar enrichment and prospecting platforms, • Track record of running structured growth experiments with measurable outcomes, • Fluent in English, both written and verbal, is essential, • Legally authorized to work in the US For information about DockMaster, please visit our website at _ We thank all applicants for their interest; however, only those candidates selected for an interview will be contacted. #Dockmaster

Analyst/Associate – Equity Derivatives Quant/Trader Group Overview: The Equity Derivatives team focuses on developing and executing systematic and discretionary trading strategies across listed and OTC options. The group works closely with trading, technology, and risk functions to design models, build tools, and manage risk across global markets. Position Summary: We are seeking a highly analytical and technically strong Analyst to join our Equity Derivatives Quant/Trading team. The ideal candidate will have a strong quantitative background, experience with systematic research, and a passion for markets. This individual will contribute to model development, options pricing analytics, back testing, and the build-out of proprietary trading and risk infrastructure. MUST BE A 2024 GRADUTE OR EARLIER TO APPLY Key Responsibilities: • Develop and enhance pricing models for equity and index options, including Greeks and volatility surface dynamics., • Conduct quantitative research to identify and test systematic trading opportunities across derivatives markets., • Build and maintain Python- and SQL-based tools for research, trading automation, and risk management., • Design and execute robust back tests to validate signals and strategies., • Assist traders in analyzing market conditions, trade structures, and risk exposures., • Leverage statistical concepts and machine learning/AI techniques to improve efficiency and decision-making., • Develop and maintain proprietary analytics to support portfolio and risk monitoring., • Collaborate with technology teams to ensure seamless integration of models and tools., • Operate in a fast-paced environment with a high degree of autonomy and accountability. Qualifications: • Bachelor’s degree in Mathematics, Statistics, Computer Science, Engineering, or a related quantitative discipline., • 2-6 years full‑time experience in a trading or quantitative research/development role., • Strong programming skills with Python and SQL; ability to write clean, efficient, and production‑ready code., • Solid foundation in probability, statistics, and stochastic processes., • Deep understanding of options pricing models, Greeks, volatility modeling, and market microstructure., • Experience in quantitative research, systematic strategy development, and back testing frameworks., • Ability to leverage AI/ML tools to automate workflows or enhance research., • Strong problem-solving skills with the ability to work independently and proactively., • Ability to thrive in a fast-paced trading environment with high ownership and attention to detail., • Excellent communication skills and the ability to collaborate effectively across functions. Preferred Skills (Nice to Have): • Experience with derivative risk systems or real‑time trading tools., • Familiarity with C++, Java, or other compiled languages., • Exposure to equities, volatility products, or multi‑asset derivatives. Primary Location New York, NY Full Time Salary Range of $100,000-$150,000. About Us Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services. With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments. At Jefferies, we are committed to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live. As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients. Jefferies is committed to creating and sustaining a workforce that welcomes individuals from all backgrounds to apply. Our employment decisions are made without regard to race, creed, color, national origin, ancestry, religion, pregnancy, age, medical condition, physical or mental disability, marital status, domestic partner status, sex, sexual orientation, gender, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law. We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws. As part of this commitment, Jefferies will extend reasonable accommodation to individuals with disabilities, as required by applicable law. The salary offered will take into consideration an individual’s experience level and qualifications. In addition to salary, Jefferies Financial Group is proud to offer a comprehensive benefits package to eligible, full-time employees or part-time employees, who are scheduled to work at least 30 hours or more per week, including an annual discretionary incentive and retention bonus, competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Jefferies also offers paid time off packages that include planned time off (e.g., vacation), unplanned time off (e.g., sick leave), and paid holidays, and for full-time employees, paid parental leave.

Backend Engineer (AI Focus) – New York My client is a well funded early stage startup building a high scale social platform from the ground up. They are focused on building persistent, high performance systems capable of supporting massive real time traffic. Engineers joining my client will have the opportunity to work on a greenfield platform at scale, join a focused and highly capable team, and take ownership of critical backend systems from day one. The environment is fast paced and highly collaborative, with a strong emphasis on building systems that enable AI-driven product experiences, supported by long term financial stability. The Role My client is looking for a Backend Engineer with strong experience in distributed systems and an interest in AI-powered products. You will play a key role in designing and building the core infrastructure that powers real-time, intelligent user experiences at scale. Key Responsibilities • Design, build, and deploy backend services using TypeScript and NestJS with a focus on performance, scalability, and maintainability, • Architect and implement high traffic APIs, authentication systems, and distributed services enabling real-time and AI-enhanced product features, • Model and optimize data systems across relational databases, caches, and event streaming platforms to support both operational workloads and AI-driven insights, • Build resilient, event-driven systems using pub sub patterns and long-lived connections that handle large scale concurrent usage, • Work closely with AWS infrastructure to improve deployment pipelines, scalability, and overall system reliability, • Support backend systems that enable AI and machine learning workflows, including data pipelines and real-time inference services, • Collaborate with a small, high-performing engineering team to make strong technical decisions and execute quickly with high ownership Technical Requirements • Strong expertise in TypeScript, Node.js, and NestJS, with the ability to design and build production grade backend systems, • Proven experience implementing secure authentication systems using OAuth, FIDO2 or WebAuthn, and JWT, • Hands on experience working with Prisma ORM, PostgreSQL or Aurora, Redis, and DynamoDB across high-scale environments, • Experience with analytics or high performance data stores such as ClickHouse is beneficial but not required, • Strong understanding of distributed systems, including event driven architecture, pub sub patterns, and message brokers such as Kafka or AWS MSK, • Experience building real time systems, • Deep familiarity with AWS and cloud infrastructure, including services such as Aurora Global Database, RDS Proxy, ElastiCache or Valkey, EKS, and Terraform, • Experience working with observability tooling such as LGTM stack and implementing modern CI/ CD pipelines, • Proven track record of building external facing systems where performance, concurrency, and reliability are critical

Contract to hire position with a major financial firm. This position is hybrid to Newark, NJ As a Data Scientist on the Data Science team, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to develop new analytics capabilities for our businesses. The role requires a rare combination of sophisticated analytical expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Responsible for the hands-on development of sophisticated data science solutions comprising the portfolio developed by the Lead Data Scientist and Actuaries and the technical requirements specified by the Lead Data Scientist and Actuaries. • Perform hands-on data analysis, model development, model training, model testing, model deployment. • Continuously research new methods for problem solution, including new algorithms, modeling techniques, and data analytics techniques. • Write production-level code and partner with machine learning engineers to push development code into production. • Partner with machine learning engineers to productionized machine learning models. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. • Work closely with the business and data science lead to recommend and develop models for GI financial underwriting, medical underwriting, marketing analytics and other business use cases. • Manage external vendors in the execution of the data science development process. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines. • Working on complex problems in which analysis of situations or data requires an in[1]depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques, and evaluation criteria for obtaining results. • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business. Create and test hypotheses for customer engagement and wellness programs. • Experience in research, designing experiments (ex: A/B testing), working with claims and customer experience data. An insurance actuary background is preferred but not required. • Ability to learn creative skills and knowledge on an on-going basis through self[1]initiative and solving challenges., • Excellent problem solving, communication and collaboration skills. Applied experience with several of the following: • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's, SQL and NoSQL. Transform data using SQL, NoSQL, and Python. Visualizing data using a diverse tool set including but not limited to Python and R. • Database Management System: Knowledge of how databases are structured and function in order to use them e8iciently may include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. o Knowledge of how to work with data from (do not build) o SQL skills (relational) - CORE / Initial Proficiency o Unstructured (NoSQL) o Graph / ontology (DB Graph) • Model Deployment: Understanding of: MDLC (Model Development Life Cycle), CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness etc.), A/B testing. Pipeline frameworks like MLFlow, AWS SageMaker pipeline etc. model and data versioning. • Statistics and Computing: Exceptional understanding of: Calculus, Multivariable Calculus, Linear Algebra, Di8erential Equations, Probability, Statistics, Applied Probability, Applied Statistics, Computer Science (Programming Methodologies), and Cloud. Knowledge of statistical techniques such as the use of descriptive, inferential, bayesian statistics, time series analysis etc. to extract business insights and experimentation to solve business problems • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured). • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, and monitoring machine learning models. Understanding and expertise in NLP (natural language processing). • Programming Languages: Python, R, SQL, Java or Scala, SQL, Cypher

Business Overview: BNP Paribas Global Markets brings together the full spectrum of market‑based products—fixed‑income, currencies, equities, commodities, and structured solutions—under one collaborative umbrella. By integrating sales, trading, research, and quantitative analytics. The business delivers seamless, end‑to‑end service to a diversified client base that includes corporates, asset managers, sovereigns, and fintech partners. Global Markets is a growing business, penetrating the US market. Clients receive points of contact for all asset classes, allowing them to execute complex, multi‑asset strategies quickly and efficiently. GMA provides the depth and resilience needed to meet large‑scale financing, hedging, and investment demands. GMA business accelerates the development of electronic platforms, AI‑driven pricing models, and ESG‑focused product suites. Candidate Success Factors: Candidates are measured on the following four performance drivers, which will dictate how individual impact is considered on the Americas platform: • Results and Impact, • Able to influence peers and team., • Demonstrates good judgement when making decisions of high complexity and impact., • Exercise appropriate autonomy in the execution and delivery of work., • Responsible for driving outcomes, which have meaningful effect on team or department., • Leadership and Collaboration:, • Creates trust with colleagues., • Acts in leadership capacity for projects, processes, or programs., • Client, Customer and Stakeholder Focus:, • Able to build relationships with a mix of colleagues and clients., • Interacts regularly with management and department leaders., • Demonstrates the ability to influence stakeholders at the team level., • Compliance Culture and Conduct:, • Takes full responsibility for personal actions and demonstrates courage in facing problems and conflicts., • Perceived as a person of high moral character; upholds corporate values and displays high ethical standards. Responsibilities: Strategic Partnering • Provide consultative HR support to Executive Management and team leads in Fixed Income, Currencies, and Commodities., • Align people initiatives with business objectives, market trends, and the bank’s global talent strategy. Talent Management • Partner with recruiting, talent acquisition, and hiring managers to attract, assess, and onboard employees., • Develop succession plans and career‑pathing for high‑potential employees in the division., • Partner with business leaders to deliver People Review plans. on a yearly basis, in line with Group guidelines. Performance & Development • Drive the performance‑review cycle, ensuring timely and constructive feedback., • Identify skill gaps specific to FICC and coordinate targeted learning programs (e.g., market‑risk, product‑knowledge, regulatory). Employee Relations & Engagement • In partnership with the Employee Relations team, manage employee‑relations cases with a focus on compliance, • Champion engagement initiatives that reflect the fast‑paced, client‑centric culture of Global Markets. Compensation & Benefits • Advise on market‑competitive compensation structures for FICC roles, including bonus eligibility, incentive plans, and non‑cash benefits. Compliance & Risk • Ensure HR practices adhere to U.S. banking regulations, global market conduct rules, and internal policies, • Serve as a liaison with compliance, legal, and risk teams on HR‑related matters. AI, Data & Analytics • Support the embedding of responsible‑AI principles into HR processes (e.g., talent‑acquisition algorithms, performance‑analytics tools, learning‑platform personalization)., • Leverage HR metrics to provide actionable insights for the FICC leadership team. Change Management • Support transformation projects (e.g., restructuring,) with focused communication and stakeholder management. Minimum Required Qualifications: • Bachelor’s degree in Human Resources, Business Administration, Finance, or a related field., • 10+ years of progressive HR Business Partner experience within 3+ years of recent Global Markets HR BP experience at a bank that has a significant US footprint. Exposure to Fixed Income, Currencies, and Commodities client‑facing environments is strongly preferred., • Deep understanding of Global Markets and FICC products, market structure and the ability to translate that knowledge into people solutions., • Knowledge of US banking regulatory frameworks, US employment law, HR best practices, • Proficiency with HRIS and analytics tools, • The ability to leverage artificial‑intelligence and machine‑learning tools to collect, analyze, and interpret workforce data so that HR decisions are data‑driven, predictive, and continuously improved., • Business acumen: Ability to translate market dynamics into HR solutions., • Influencing & Executive Stakeholder management: Comfortable interacting with Executive leaders., • Problem‑solving: Proactive in identifying people‑related risks and delivering pragmatic solutions., • Risk mindset: Demonstrates a proactive, analytical, and disciplined approach to identifying, assessing, and mitigating risks that could affect the business, its people or reputation, • Matrix environment: Understand, navigate, and optimize the inter‑dependencies created by a large, global matrixed, financial services, organization., • Proven track record in building strong relationships with Executive leaders regionally and globally., • Purposeful communication and disciplined governance to align divergent priorities, • Ability to navigate high‑pressure, results‑driven environments, • Understanding of U.S. banking and securities regulations affecting HR Preferred Qualifications: • Proven track record of supporting high‑growth, client‑centric teams in the FICC space., • Ability to balance speed‑to‑market with rigorous risk and compliance controls., • Passion for talent development in a fast‑moving trading environment., • Proven track record of collaboration with HR Business Partner teams and COE partners regionally and globally (ie Talent Acquisition, Reward, L&D). FINRA Registrations Required: • Not Applicable CFTC Swap Dealer Associated Person (if yes, NFA Swaps Proficiency Program is required): • Not Applicable SEC Security-Based Swap Dealer Associated Person: • Not Applicable While the description above describes our ideal candidate, we encourage applicants to apply even if they do not fully meet the complete list of qualifications noted. The expected starting salary range for this position is between $165,000 to $200,000 annually. The actual salary may vary based upon several factors including, but not limited to, relevant skills/experience, time in role, base salary of internal peers, prior performance, business line, and geographic/office location. In addition, our comprehensive benefits package aims to support our employees in various aspects of their lives. From healthcare and wellness programs to retirement plans and childcare services, we prioritize the well-being and growth of our employees. Our benefits include medical, dental and vision coverage, a 401(k) Savings Plan, backup childcare, life, accident and disability insurance, mental health support and paid time off. Additional details about our benefits offerings, inclusive of eligibility for a discretionary bonus, will be provided during the hiring process. BNP Paribas. The Bank for a Changing World - _ BNP Paribas is committed to providing a work environment that fosters diversity, inclusion, and equal employment opportunity without regard to race, color, gender, age, creed, sex, religion, national origin, disability (physical or mental), marital status, citizenship, ancestry, sexual orientation, gender identity and gender expression, or any other legally protected status. Protect yourself from fraudulent job postings. Emails about jobs at BNP Paribas will always come from addresses ending @bnpparibas.com @us.bnpparibas.com, @ca.bnpparibas.com, or @br.bnpparibas.com. You should be suspicious of emails regarding employment with BNP Paribas coming from any other domains and should not respond. BNP Paribas will never send payments to or request payments from candidates for positions posted by BNP Paribas.

Software Engineer, Machine Learning New York About the Firm A leading global hedge fund with over 40+ billion in AUM and a long track record across fundamental and systematic strategies. The firm invests across asset classes and geographies, with a strong focus on building high-performing teams and developing talent over the long term. The Team You’ll join their Knowledge Graph Intelligence Team focused on building intelligent systems powered by modern machine learning and graph-based technologies. The group partners closely with product managers, engineers, and data scientists to develop scalable platforms that support advanced analytics and decision-making. The team operates at the intersection of data, infrastructure, and AI—leveraging open-source tools, cloud-native architecture, and distributed systems to push forward next-generation ML capabilities. What You’ll Do This is a highly data-focused engineering role centered on building and scaling ML infrastructure end-to-end. You will: • Design and build systems that support the full ML lifecycle, from data ingestion and feature engineering to model training, deployment, and monitoring, • Develop event-driven architecture using technologies like Kafka, gRPC, and modern API frameworks (e.g., FastAPI, Spring WebFlux, Axum), • Build and scale robust data pipelines (ETL/ELT) using tools like Spark, dbt, and workflow orchestrators, • Help define and implement a Feature Store strategy, • Own and improve MLOps workflows including model versioning, CI/CD, experiment tracking, and evaluation, • Implement production-grade deployment strategies (canary, blue-green, A/B testing, shadow deployments), • Optimize inference performance for large-scale models, including LLMs, with a focus on latency and throughput, • Partner with data scientists to productionize models and improve performance through efficient engineering, • Manage infrastructure using Terraform across cloud-based environments Requirements • 4+ years of experience in software engineering, data engineering, or ML engineering, • Strong SQL skills, • Experience building and orchestrating data pipelines (e.g., Spark, dbt, Airflow/Dagster) and working with modern data warehouses (Snowflake, Redshift, BigQuery), • Experience with infrastructure as code (Terraform), • Strong experience with Docker and Kubernetes, • Hands-on experience with CI/CD and ML tooling (e.g., Jenkins, MLflow, Kubeflow, Weights & Biases), • Experience working with AWS (S3, EC2, Lambda, RDS, EMR), including programmatic interaction (Boto3) and ML services (e.g., SageMaker), • Solid understanding of ML systems and trade-offs in production environments, • Experience working with advanced ML use cases such as recommendation systems, anomaly detection, graph-based models, or time-series systems What They Offer • Comprehensive health benefits, • Generous parental leave, • 401(k) with employer match, • Wellness programs (mental & physical), • Tuition reimbursement, • Employee resource groups and community initiatives

About Us: At Biz2Credit, we are looking for individuals who are ready to join a dynamic and innovative fintech company on a mission to change the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward. As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we're here to make that happen. That's why we're dedicated to developing cutting-edge solutions, like our Biz2X platform, a fully configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible. But we're more than just another FinTech company. We're a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that's why we value a culture that is inclusive and supportive. We're looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work. So, if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit. About the Role Biz2Credit is launching a new small-business credit card, and we are hiring a Director Fraud Risk to build and scale the risk engine that powers the product. This role sits within the Risk organization and focuses on designing and executing the fraud and credit strategies required to safely grow a new card portfolio. You will own fraud and credit risk strategy across the full lifecycle, partner with Data Science on model development, work with product and engineering to implement rules and logic, and collaborate with vendors who support fraud detection, identity verification, and credit decisioning. This is a hands-on, analytics-driven role for someone who has built or scaled card risk systems before. Key Responsibilities Fraud Risk Strategy & Analytics • Develop and manage fraud strategies across the full credit card lifecycle: KYC, KYB, onboarding, transaction monitoring, disputes, and chargebacks, • Build and optimize fraud rules, signals, and decisioning logic, • Partner with Data Science to develop or enhance fraud models, • Monitor fraud KPIs, emerging patterns, and loss trends to adjust strategy, • Work with fraud vendors and platforms to implement rules, workflows, and detection capabilities Credit Risk Strategy & Analytics • Own credit line assignment, credit line increases (CLI), credit line decreases (CLD), and ongoing credit monitoring, • Develop and refine credit risk segmentation, cutoffs, and exposure strategies, • Partner with Data Science online assignment models and credit risk models, • Build dashboards and analytics to track credit performance, delinquencies, and portfolio trends, • Continuously optimize credit policies to balance growth and risk Card Program Buildout & Scaling • Contribute to building the fraud and credit risk foundation for a new credit card program, • Support scaling of the portfolio through iterative strategy, analytics, and model improvements, • Ensure risk systems, rules, and logic are implemented correctly across product, engineering, and vendor platforms Cross‑Functional Collaboration • Work closely with product, engineering, operations, and external vendors to launch and scale long duration programs, • Translate risk strategy into technical requirements for implementation, • Partner with compliance teams as needed; deep expertise not required, but familiarity with Reg Z, Reg B, FCRA, and UDAAP is helpful Qualifications • 5–10+ years of experience in credit card fraud risk, credit risk, risk analytics, or risk modeling, • Hands‑on experience with fraud lifecycle management: KYC, KYB, onboarding, transaction monitoring, disputes, chargebacks, • Experience with credit line strategy: limit assignment, CLI, CLD, and credit monitoring, • Strong analytics background; proficiency in SQL required, Python preferred, • Experience working with fraud and/or credit risk vendors and platforms (e.g., decision engines, fraud tools, KYC/KYB providers), • Experience building or scaling risk strategies for a credit card program, • Ability to work cross functionally with product, engineering, data science, and vendors, • Familiarity with compliance requirements for credit cards; ability to partner with compliance teams Who Thrives in This Role • Someone who has built or scaled a credit card risk engine, • A fraud + credit strategist who is equally comfortable with rules, analytics, and models, • A hands-on operator who can design strategy and also dig into SQL, • Someone who enjoys cross-functional execution and long-term program building, • A risk expert who wants to shape the foundation of a new card product

About Us: Our passion at EXL is enabling organizations to achieve a measurable, competitive advantage through Data Management. We partner with our clients to design and implement scalable, accessible, and innovative solutions. Our goal is to make sense of data to drive client’s business forward through data strategy, data governance and building cloud data platforms. EXL is a leading data analytics and digital operations and solutions company that partners with clients to improve business outcomes and unlock growth. By bringing together deep domain expertise with robust data, powerful analytics, cloud, artificial intelligence (“AI”) and machine learning (“ML”), we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 60,000+ strong, with more than 50 offices spanning six continents. Management Consultant: Data, Analytics & AI Consulting (Insurance) Overview: We are seeking a Senior Management Consultant to serve as a strategic client leader for a major Fortune 500 insurance client. This individual will bring deep experience in executive‑level partnership, digital transformation consulting, and Gen AI advisory. This role is a strategic partnership and client success leadership role, focused on executive engagement, value realization, visibility across large programs, and long‑term account and revenue growth. This person will act as a focal point for orchestration and visibility, responsible for: • Communicating progress, outcomes, and value delivered by multiple EXL teams to client executives who do not have direct day‑to‑day visibility into all initiatives, • Synthesizing delivery inputs into concise, executive‑ready narratives focused on outcomes, impact, and strategic alignment, • Championing EXL’s differentiated value, including both tangible results and intangible contributions such as thought leadership, innovation, and partnership maturity Responsibilities: Advisory: • Conduct stakeholder interviews and perform high level data and business process analysis., • Research Gen AI tools and market trends., • Create roadmaps for strategic solutions., • Present proposals in conjunction with the sales team to senior client leadership. Executive Partnership & Stakeholder Management • Build and maintain trusted relationships with senior client executives across technology, data, and business leadership., • Act as the primary conduit between client leadership and EXL delivery leadership. Program & Portfolio Oversight • Maintain a high‑level view of multiple concurrent engagements across business units and delivery teams., • Partner with Delivery Leaders to understand execution health, risks, milestones, and outcomes without directly managing day‑to‑day delivery., • Provide leadership oversight and escalation management when required. Value Storytelling & Client Success • Clearly articulate the outcomes, progress, and impact of EXL initiatives to executive audiences., • Translate complex delivery activity into compelling, business‑focused narratives that reinforce EXL’s value as a strategic partner., • Champion data‑driven outcomes, innovation, and GenAI‑enabled capabilities delivered through platforms such as Palantir. Business Development & Account Growth • Contribute to proposal development and solution shaping for large, complex engagements, with demonstrated experience contributing to multi-million-dollar engagements, • Partner with internal leadership to drive sustained account and revenue growth. Qualifications: • 7+ years operating as a Senior Program Manager or Management Consultant in the IT Services space., • Extensive Insurance or Healthcare domain experience., • Proven experience building and sustaining executive‑level relationships within Fortune 500 organizations., • Demonstrated contribution to proposals and recommendations, • Experience advising on digital transformation, data, analytics, AI, or IT modernization initiatives., • Prior experience supporting or advising clients in the Property & Casualty (P&C) insurance industry or healthcare is required Skills & Attributes • Exceptional executive presence, presentation, and communication skills., • Ability to synthesize complex delivery information into clear, outcome‑focused messaging., • High energy, client‑centric mindset with a passion for driving excellent outcomes., • Strong storytelling skills that create excitement and confidence in recommended solutions.

Job Title: Data Scientist Duration: 6 Months to hire Location: Newark, NJ Job description: As a Data Scientist supporting U.S. Businesses (USB) Service, Data and Technology organization, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to design, build, and deploy production-grade AI capabilities for our businesses. The role requires a rare combination of sophisticated AI engineering expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is what you can expect in a typical day: • Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development., • Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle., • Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns., • Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines, • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges, • Excellent problem solving, communication and collaboration skills Applied experience with several of the following: • AI Engineering & Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle — from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices., • Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models, • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL

Senior Principal – Workforce Transformation Infosys Consulting Workforce Transformation practice is seeking experienced and visionary Organizational Change and Learning Senior Principal Consultants to lead our efforts addressing evolving challenges and opportunities in business segments, including responsibilities for sales and practice development. About the Role As a Senior Principal, you will anchor proposal preparation and engagement delivery efforts for organization change, learning and human capital tracks on major transformation programs. You will lead the development of solutions, be accountable for delivery, and guide teams on project processes and outcomes. You will collaborate and interface with senior clients daily to build confidence and guide the team in aligning deliverables to business needs while mitigating business risks. Key Roles and Responsibilities: • Develop and articulate a strategic vision for addressing key industry risks, including the impact of evolving technological innovations and artificial intelligence, • Provide thought leadership on industry trends, challenges, and opportunities, • Lead the development and deployment of organization change digital solutions across the value chain, • Implement cloud-based platforms including S4HANA for scalable and flexible enterprise solutions, enhancing collaboration and data accessibility, • Ensure robust cybersecurity measures to protect enterprise data and infrastructure from cyber threats., • Utilize advanced analytics and AI to understand customer behavior and preferences, offering personalized services and proactive communication, • Mentor and develop team members, providing opportunities for professional growth and advancement, • Identify and pursue new business opportunities within your designated industry sector, • Contribute to the development of marketing strategies and sales initiatives Skills and Experience: • Extensive knowledge of a specific industry value chain including a deep understanding of emerging trends, technological innovations, and industry risks, • Proven successful business development, • Demonstrated ability to lead large-scale digital transformation projects, • Proficiency in digital solutions such as S4, Oracle Cloud, SNow, MDM, etc., • Familiarity with enterprise integration, cloud solutions, AI, machine learning, and cybersecurity, • Ability to develop and execute strategic plans to drive business growth Basic Qualifications: • 9+ years of end-to-end of HCM/Payroll/Time and Change experience for ERP-enabled transformation programs., • At least 3 full-life-cycle technology implementations in key of HCM/Payroll/Time and/or Change roles., • At least 1 full-life-cycle technology implementation in lead of HCM/Payroll/Time and/or Change tracks role., • Track record of consulting sales and business development, including delivering on quantitative financial targets., • Track record of consulting practice building and offerings/IP development; demonstrated thought leadership, • Strong oral, written communications skills, presentation skills and interpersonal skills, • Comfort with change and ambiguity; ability to flex approach to changing external stimuli., • Ability to travel 80% plus., • Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time Estimated annual compensation will be as follows: In CA/ WA/ NY/CO: $210,000 to $256,667 Along with competitive pay, as a full-time Infosys employee you are also eligible for the following benefits:- • Medical/Dental/Vision/Life Insurance, • Long-term/Short-term Disability, • Health and Dependent Care Reimbursement Accounts, • Insurance (Accident, Critical Illness, Hospital Indemnity, Legal), • 401(k) plan and contributions dependent on salary level, • Paid holidays plus Paid Time Off, • Infosys is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability EEO/About Us : About Us Infosys Consulting is the global management and technology consulting practice of Infosys, a global leader in technology services and consulting. We combine the power of time-tested methodologies, people-driven innovation and disruptive technology to enable leaders of the world’s top brands pursue a path of smart transformation. Together with our clients, internal and external partners, we co-create and execute pragmatic strategies and solutions that transform organizations and define the future of business. Our dynamically growing consultancy offers our consultants: • Ability to design and implement end-to-end solutions at scale, • A flat organization structure with direct access to our senior-most leaders, • An entrepreneurial environment full of bright, highly motivated consultants, • Opportunities for motivated consultants to impact local communities, • The ability to design your career and drive your professional learning and development, • A truly global culture EEO Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability. Infosys provides equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.

Job Title: Trust & Safety Analyst (II) Location: New York NY (Hybrid – Tue, Wed, Thur Onsite for 3 days) Duration: 12 months contract Note: In this role they are expected to review sensitive content. Top Responsibilities: • Perform sensitive reviews against Google's Nonconsensual intimate imagery global policy (NCII) and participate in enforcement quality across policy area, including calibrations with vendor teams. Minimum role qualifications requirement:: • 4 years of experience in data analytics, Trust & Safety, policy, cybersecurity, or related fields. Description: • As a Trust & Safety Analyst, you drive impact that changes the way T&S operates. You focus on primarily strategic components of projects, delivering detailed data analyses (including insights and recommendations) that drive decisions, with limited guidance. You drive well-defined projects, with moderate levels of uncertainty, to resolve abuse - and harm-fighting and mitigation problems of medium complexity. As you partner cross-functionally with others globally, balancing your own perspectives with those of diverse stakeholders to drive impact, you act as a reliable, credible point of contact for information and subject matter knowledge, and develop expertise within a Global Affairs domain. Responsibilities include: • Manage project planning, status reporting, timeline estimation, issue tracking, meeting facilitation, and project documentation. Propose next steps and roadblock solutions and anticipate questions and challenges., • Oversee execution of data-oriented analysis to architect metrics, synthesize information, solve problems, and influence business decision-making by presenting insights and market trends, with minimal guidance to the project team., • Work with a team of business analysts responsible for implementing various internal and external integrations between business objectives, as well as designing and building strategies that support these business systems., • drive well-defined abuse, • and harm-fighting and mitigation projects of moderate to high complexity., • Provide employee feedback analysis, operational monitoring, and error resolution to prevent inaccuracies, reduce process latency, and drive process excellence for standard processes., • Conduct strategic analysis, identifying, evaluating, and recommending ways to optimize business performance and deliver best-in-class execution within relevant PA, function, or sub-function with minimal guidance., • Help stakeholders to improve business processes by performing effective escalation management, providing quick fix solutions, and pushing projects forward, and driving recommendations through to implementation. Minimum role qualification requires proficiency in: • Data analytics & modeling, • Operations improvement, • Stakeholder management, • Machine learning, • Project management, • Statistical analysis, • Thought leadership (Trust & Safety Analyst), • Technical Fluency (Trust & Safety), • Problem-solving Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors. Equal Employment Opportunity Russell Tobin is an equal opportunity employer. We do not discriminate on the basis of the race, religious creed, color, national origin, ancestry, physical disability, mental disability, reproductive health decision making, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. Fair Chance Employment Russell Tobin is a Fair Chance employer. We consider all qualified applicants, including those with criminal histories, in a manner consistent with applicable state and local Fair Chance laws and ordinances, including, the California Fair Chance Act and all applicable local Fair Chance ordinances. Accommodations We are committed to providing reasonable accommodations to applicants and employees with disabilities. If you require a reasonable accommodation to participate in the application or interview process, or to perform the essential functions of this role, please contact us. Only applicable for San Francisco Candidates: Under the San Francisco Lactation in the Workplace Ordinance, we will provide written notice of lactation accommodation rights, and this notice will automatically be given upon hiring, any inquiry of parental leave or lactation accommodation.

Senior Associate / Manager, Quantitative Analytics NYC/Chicago, IL Full time $150,000 – $170,000 + Bonus + Stocks About the Opportunity We’re partnering with a leading clean energy platform at the forefront of solar and energy storage. This is a chance to join a high-impact, mission-driven team working on some of the most commercially sophisticated challenges in renewable energy today. The business operates across utility-scale and distributed assets, combining strong financial backing with a highly analytical, trading-oriented approach to portfolio management and optimization. The Role This is a senior individual contributor position within the Quantitative Analytics team, sitting at the heart of commercial and revenue strategy. You’ll play a key role in developing and deploying quantitative models that directly influence trading decisions, asset optimization, and commercial structuring. Alongside hands-on technical work, you’ll help mentor junior team members and shape how the team approaches complex analytical problems. It’s a strong fit for someone who enjoys building models end-to-end but is also ready to step into a more influential, leadership-oriented position. What You’ll Be Doing • Build and own models that drive trading strategy and portfolio optimization across solar and battery storage assets, • Develop pricing and risk tools for structured energy products and offtake agreements, • Analyze market dynamics (congestion, basis, curtailment, intermittency) to uncover commercial opportunities, • Integrate data from across power markets, including weather, generation, and transmission, • Support battery storage optimization, including forecasting and day-ahead dispatch strategies, • Review and structure commercial agreements, identifying risks and opportunities, • Apply machine learning and optimization techniques to improve forecasting and performance, • Mentor junior team members and contribute to a high-performance, collaborative culture, • Partner closely with commercial, development, finance, and asset management teams What We’re Looking For • 5–8 years’ experience in power markets, trading, or quantitative analytics within energy, • Strong Python and SQL skills, with experience working in collaborative codebases, • Solid understanding of power market dynamics and pricing, • Experience with structured products, derivatives, or energy contracts, • Exposure to machine learning or optimization in a commercial setting, • Ability to translate complex analysis into clear, actionable insights, • A proactive mindset with the ability to operate independently, • Interest in mentoring and helping develop junior talent, • Background in renewable energy (solar, storage) is a strong plus Why This Role? • Direct impact on trading strategy and revenue generation, • Exposure to both renewables and battery storage optimization, • Clear pathway into technical leadership, • Highly collaborative, commercially driven environment, • Opportunity to work on cutting-edge problems in the energy transition Compensation Competitive base salary ($150,000 – $170,000) plus bonus and comprehensive benefits

About Us: Our passion at EXL is enabling organizations to achieve a measurable, competitive advantage through Data Management. We partner with our clients to design and implement scalable, accessible, and innovative solutions. Our goal is to make sense of data to drive client’s business forward through data strategy, data governance and building cloud data platforms. EXL is a leading data analytics and digital operations and solutions company that partners with clients to improve business outcomes and unlock growth. By bringing together deep domain expertise with robust data, powerful analytics, cloud, artificial intelligence (“AI”) and machine learning (“ML”), we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 44,500+ strong, with more than 50 offices spanning six continents. Overview: We are seeking a seasoned Big Data & ML Engineer with a strong background partnering with Data Science teams. In this role, you will handle large enterprise datasets, building robust pipelines and models that power data-driven decision-making. Key Responsibilities • Data Pipeline Engineering: Design, build, and maintain scalable data pipelines to process and transform large-scale enterprise datasets., • ML Implementation: Collaborate closely with Data Scientists to operationalize basic ML models, ensuring they perform efficiently in a distributed computing environment., • Big Data Management: Utilize Hive for data warehousing and management, ensuring high performance for complex analytical queries., • Advanced Analytics: Write complex, optimized SQL and PySpark code to extract insights and prepare features for modeling., • Performance Tuning: Optimize Spark jobs and SQL queries to handle enterprise scale data sets with minimal latency., • Collaboration: Serve as the technical bridge between data engineering infrastructure and the data science lifecycle. Required Skills & Qualifications • Experience: 5–8 years of professional experience in Big Data Engineering or ML Engineering., • PySpark Mastery: Expert-level proficiency in PySpark, • SQL & Databases: Strong SQL skills for deep-dive analysis and extensive experience working with Hive databases., • Python Programming: Advanced Python skills, specifically for data science libraries (Pandas, Scikit-learn, NumPy)., • ML Lifecycle: Previous experience working as an ML Engineer, including model deployment, monitoring, and feature engineering., • Enterprise Scale: Proven track record of handling "messy" enterprise data at scale., • Familiarity with CI/CD pipelines for ML (MLOps)., • Previous experience in Banking/Capital Markets/Financial Services is required. Company Overview and Culture EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on creating value from data for driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 50,000 strong, with more than 50 offices spanning six continents. For information, visit _. To view our total rewards offered click here —> _ Base Salary Range Disclaimer: The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience. The base salary range listed is just one component of EXL's total compensation package for employees. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits. Please also note that the data shared through the job application will be stored and processed by EXL in accordance with the EXL Privacy Policy. Application & Interview Impersonation Warning – Purposely impersonating another individual when applying and / or participating in an interview in order to obtain employment with EXL Service Holdings, Inc. (the “Company”) for yourself or for the other individual is a crime. We have implemented measures to deter and to uncover such unlawful conduct. If the Company identifies such fraudulent conduct, it will result in, as applicable, the application being rejected, an offer (if made) being rescinded, or termination of employment as well as possible legal action against the impersonator(s). EXL may use artificial intelligence to create insights on how your candidate information matches the requirements of the job for which you applied. While AI may be used in the recruiting process, all final decisions in the recruiting and hiring process will be taken by the recruiting and hiring teams after considering a candidate’s full profile. As a candidate, you can choose to opt out of this artificial intelligence screening process. Your decision to opt out will not negatively impact your opportunity for employment with EXL.

InMobi Advertising is a global technology leader helping marketers win the moments that matter. Our advertising platform reaches over 2 billion people across 150+ countries and turns real-time context into business outcomes, delivering results grounded in privacy-first principles. Trusted by 30,000+ brands and leading publishers, InMobi is where intelligence, creativity, and accountability converge. By combining lock screens, apps, TVs, and the open web with AI and machine learning, we deliver receptive attention, precise personalization, and measurable impact. Through Glance AI, we are shaping AI Commerce, reimagining the future of e-commerce with inspiration-led discovery and shopping. Designed to seamlessly integrate into everyday consumer technology, Glance AI transforms every screen into a gateway for instant, personal, and joyful discovery. Spanning diverse categories such as fashion, beauty, travel, accessories, home décor, pets, and beyond, Glance AI delivers deeply personalized shopping experiences. With rich first-party data and unparalleled consumer access, it harnesses InMobi’s global scale, insights, and targeting capabilities to create high-impact, performance-driven shopping journeys for brands worldwide. Recognized as a Great Place to Work, and by MIT Technology Review, Fast Company’s Top 10 Innovators, and more, InMobi is a workplace where bold ideas create global impact. Backed by investors including SoftBank, Kleiner Perkins, and Sherpalo Ventures, InMobi has offices across San Mateo, New York, London, Singapore, Tokyo, Seoul, Jakarta, Bengaluru, and beyond. At InMobi Advertising, you’ll have the opportunity to shape how billions of users connect with content, commerce, and brands worldwide. To learn more, visit _ Overview of the role: As the Senior Publisher Development Manager, you will be responsible for identifying, closing, and maintaining relationships with key publishers and developers across North America. You will build a network of relationships in the region to structure and close high-impact partnerships that contribute advertising inventory to our network. You will work collaboratively with the Supply and Demand teams to ensure that your North America portfolio scales and achieves its revenue potential. The position entails a high level of competency in sales, a deep knowledge of digital advertising, and an appreciation of account management, digital ad products, and yield management. In this role, you will also be directly responsible for driving the growth of our omnichannel business across in-app, web, and connected TV (CTV) environments. You will expand our supply footprint and develop strategies that optimize performance, yield, and monetization across all channels. This role is onsite in our New York City office. Some travel within the U.S. is required to engage with clients and retail partners. The impact you'll make: You are a dynamic and entrepreneurial leader who thrives on building meaningful partnerships and driving mutual success. Passionate about the digital advertising ecosystem, you combine strategic vision with a hands-on approach to business development. You’re motivated by creating long-term, trusted relationships with publishers and delivering solutions that drive measurable value and growth for their businesses. You lead with influence, collaboration, and a relentless focus on achieving win-win outcomes that support both our partners’ success and InMobi’s market leadership. In this role, you will: • Identify, negotiate, and close high-impact partnerships with key publishers and developers across North America, expanding our omnichannel footprint across in-app, web, and CTV., • Own the full sales cycle — from sourcing and pitching to negotiating and signing new publisher deals., • Monitor the evolving ad tech landscape and actively track emerging industry trends to anticipate shifts, spot opportunities early, and ensure our strategy remains ahead of the curve., • Own and develop your sales pipeline end-to-end, including prospecting, qualification, deal closure, and ongoing account expansion., • Collaborate with internal teams (Product, Operations, Marketing, Customer Success, Sales, etc.) to ensure smooth integrations and sustained partner success., • Collate and interpret partner feedback to support ongoing product improvements and enhancements., • Represent InMobi at industry events, effectively pitching and elevating the InMobi value proposition., • Work closely with the Sales team to ensure inventory is aligned with specific advertiser requirements. The experience we need: • 5+ years of Business Development experience within the ad tech ecosystem, working directly with mainstream web, in-app, and CTV publishers, with demonstrated impact in publisher acquisition and partnership growth., • A strong understanding of the digital advertising landscape, including marketplace dynamics, publisher monetization models, supply-side platforms, and how publishers evaluate and adopt technology partners., • A curious, adaptable mindset, with the ability to quickly absorb new information, adjust to shifting priorities, and stay ahead of evolving technologies and market trends., • A collaborative working style, bringing a cross-functional mindset when partnering with Product, Operations, Marketing, Customer Success, and Sales, while maintaining a consultative, relationship-driven approach externally., • Excellent written and verbal communication skills, with the ability to articulate complex value propositions, build trust, and influence stakeholders at multiple levels., • A demonstrated track record of determination, ownership, and follow-through, with the drive to navigate longer sales cycles and consistently move opportunities toward successful outcomes., • An existing network of publishers, developers, and technology partners within the ad tech ecosystem (highly advantageous), along with the ability to nurture, expand, and leverage those relationships effectively. At InMobi, you’ll be surrounded by people who… • Think big and act fast: We’re entrepreneurial, thrive in ambiguity, and love solving high-impact problems, • Are passionate, fanatically driven, and take immense pride in their work: We care deeply about the impact we create and continuously push our potential, • Own their outcomes: We take responsibility, make bold decisions, and execute with confidence, • Embrace freedom with accountability: We value autonomy and understand that trust comes with responsibility, • Believe in lifelong learning: We welcome feedback, challenge ourselves to grow, and aren’t afraid to take smart risks Award-winning culture, best-in-class benefits Our compensation philosophy enables us to provide a competitive salary that drives high performance while balancing business needs and pay parity. We determine compensation based on a wide variety of factors, including role, nature of experience, skills, and location. The base salary (fixed) pay range for this role would range from $131,950 – $182,700 USD (min to max of base salary pay). This salary range is applicable to our offices located in California and New York*. In addition, an InMobian may also receive variable pay in the form of an annual variable bonus or quarterly variable bonus/sales incentive, as deemed per policy, in addition to fixed compensation. *Our ranges may vary based on the final location or region of the roles in accordance with the geographical differentiation in pay scales in the country. In addition to cash compensation, based on the position, an InMobian can receive equity in the form of Restricted Stock Units. We believe that our employees/personnel should have the ability to own a part of the entity they are a part of. Therefore, the entity employing you may elect to provide such stocks to you. Ownership of stock enables us to treat our employer company as our own and base our decisions on the company’s best interest at heart. To encourage a spirit of shared ownership, we grant InMobians relevant company stock(s). As you contribute to the growth of your company, certain stocks may be issued to you in recognition of your contribution. A quick snapshot of our U.S. benefits: • Competitive salary and RSU grant (where applicable), • High-quality medical, dental, and vision insurance (including company-matched HSA), • 401(k) company match, • Generous combination of vacation time, sick days, special occasion time, and company-wide holidays, • Substantial maternity and paternity leave benefits and compassionate work environment, • Flexible working hours to suit everyone, • Wellness stipend for a healthier you!, • Free lunch is provided in our offices daily, • Pet-friendly work environment and robust pet insurance policy - because we love our animals!, • Employee Assistance Program (EAP) If this sounds like the kind of team, role, values, benefits, and challenges that excite you, we’d love to hear from you. Go for it! InMobi is an equal opportunity employer InMobi is a place where everyone can grow. Howsoever you identify, and whatever background you bring with you, we invite you to apply if this sounds like a role that would make you excited to work. InMobi provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

SailPoint is the leading, AI-driven security platform providing the autonomous governance that best solves the needs of the modern enterprise. By harnessing the power of AI and machine learning, SailPoint automates and streamlines the complexity of delivering the right access to the right identities and technology resources at the right time. Delivered at the scale our enterprise customers demand. We are proud of our team and the culture we have built, which has led to our employees voting us “best places to work” – 15 years in a row. The role: SailPoint is seeking an Advisory Solution Consultant (pre-sales Solution Engineer) to support the US Northeast sales regions for Strategic accounts. You will partner with our sales teams by applying your technical abilities and business acumen in support of SailPoint’s growth objectives. Responsibilities: • Actively participate in the sales process and work closely with the direct and channel sales teams, • Discover and understand customer requirements and align our solutions to those requirements, • Present SailPoint business functions, value, and competitive differences, • Provide product demonstrations to prospective customers, • Assist in developing RFP responses in coordination with our RFP response team, • Participate in onsite and remote Proof of Value (POV) evaluations, • Provide feedback to Product Management on product enhancements Requirements: • 5+ years of professional experience as a pre-sales technical resource in an enterprise software company (B2B), • Excellent written and verbal communication skills, • A working knowledge of technical infrastructure, including web services, application servers, databases, virtualization, and directories is required, • Conversant in modern SaaS architecture and familiarity with IaaS platforms such as Azure/AWS/GCP, • Experience with APIs and API tools such as Postman, Agentic AI technology such as Amazon Bedrock AgentCore, Google Vertex, Azure Foundry, Salesforce Agentforce, etc., LLMs, MCP, RAG, Java, XML, LDAP, SQL, and JSON is desirable, • 3+ years working with Identity, Governance, and Access Management solutions is preferred Path to Success: Within the first 4 months, you will: • Learn the Identity Security and Identity Management space, • Participate in demo best practices training, presentation skills training, negotiation,, • Handle initial demos and discussions in IGA, • Attend Revenue Onboarding for a deep dive into Challenger Sales training, • Hone technical discovery skills through SE Scrum groups, • Pitch to Account Executives (AEs) to master messaging and build relationships, • Navigate internal relationships with Customer Success Managers, Product Management, Professional Services, and Partners, • Coordinate with AEs before and after client calls, tying what is presented back to business value Within 6 months to 1 year, you will: • Contribute to building new technical collateral for organization-wide use, • Grow familiarity with IT audit functions, regulatory frameworks, SOX, HIPAA, NERC-CIP, GDPR, and CCPA, • Speak at national or regional conferences and meetups, • Proactively network and build your own personal brand, • Articulate the business value of SailPoint as a strategic sale, • Communicate at the business level with clients outside of IT, such as HR, Finance, risk management, counsel, and lines of business, • Be fluent in the language of Identity Security Location: • Residence in any Northeast state is required., • We anticipate 25% travel and flexibility to travel within the US (primarily in the Northeast states) will be necessary. Education: • BA/BS or global equivalent, • 8 years of related experience Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint. As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-mid-max, USD): $116,900 - $197,083.60 Base salaries for employees based in other locations are competitive for the employee’s home location. Benefits Overview 1. Health and wellness coverage: Medical, dental, and vision insurance, 2. Disability coverage: Short-term and long-term disability, 3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D), 4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children, 5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account, 6. Financial security: 401(k) Savings and Investment Plan with company matching, 7. Time off benefits: Flexible vacation policy, 8. Holidays: 8 paid holidays annually, 9. Sick leave, 10. Parental support: Paid parental leave, 11. Employee Assistance Program (EAP) and Care Counselors, 12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options, 13. Health Savings Account (HSA) with employer contribution SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law. Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact applicationassistance@sailpoint.com or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.

Immediate need for a talented AI Architect. This is a Fulltime opportunity with long-term potential and is located in New York City, New York(Hybrid). Please review the job description below and contact me ASAP if you are interested. Job Diva ID: 26-12615 Pay Range: $152000 - $155000/annum base + 10% + 5 % bonus. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: • Architect & Scale AI Solutions:, • Design end-to-end AI/ML architectures, including scalable, secure, and production-ready systems using Machine Learning, Deep Learning, and Large Language Models (LLMs)., • Establish best practices for building robust and reusable AI platforms., • Lead Generative & Agentic AI Innovation:, • Define and implement enterprise-grade Generative AI and Agentic AI solutions, including multi-agent systems, autonomous workflows, and LLM orchestration frameworks., • Drive innovation in areas such as RAG, context engineering, and intelligent automation., • Enterprise Impact & Transformation:, • Own and deliver scalable AI solutions across multiple business domains (marketing, supply chain, retail, operations), ensuring measurable business impact and alignment with organizational strategy., • Technical Leadership & Governance:, • Act as a technical authority defining architecture standards, AI governance, model lifecycle management, and responsible AI practices., • Ensure scalability, security, and compliance across all AI initiatives., • Cross-functional Leadership: Collaborate with senior stakeholders, product leaders, data engineers, and platform teams to translate business problems into AI-driven solutions., • Lead architecture discussions and influence key technical decisions., • Mentorship & Capability Building:, • Mentor senior engineers and data scientists, drive knowledge sharing, and build a strong AI engineering culture., • Lead communities of practice and contribute to organizational capability development., • Additional Expectations (Architect Level):, • Define AI roadmap and contribute to organizational AI strategy, • Establish reusable frameworks, accelerators, and best practices, • Drive cost optimization and performance efficiency at scale, • Ensure ethical AI and responsible AI implementation Key Requirements and Technology Experience: • Must have skills: 11–13 years of experience in AI/ML, with significant experience in designing and deploying large-scale AI systems, • Data Modeling, Generative & Agentic AI, Machine Learning, Python, Embeddings & Vector Databases, • Proven experience in architecting enterprise-grade AI/ML platforms and solutions, • Technical Expertise:, • AI/ML & Advanced Analytics:, • Strong expertise in Machine Learning, Deep Learning, and statistical modeling, • Experience designing scalable ML systems and production pipelines, • Generative AI & Agentic AI:, • Deep expertise in LLMs (GPT, Claude, Llama, Gemini) and their enterprise applications, • Strong experience in RAG architectures, prompt engineering, context engineering, embeddings, and vector databases, • Hands-on experience with agentic frameworks (LangGraph, CrewAI, AutoGen) and multi agent orchestration, • Architecture & Engineering:, • Strong system design and architecture skills for distributed AI systems, • Expertise in Python, SQL, and software engineering best practices, • Experience with microservices, APIs, and scalable backend systems, • MLOps & Platform Engineering:, • Strong experience in MLOps practices including CI/CD, model versioning, monitoring, and governance, • Hands-on experience with tools such as MLflow, Vertex AI, Kubeflow, or similar, • Cloud & Data Platforms:, • Deep experience with cloud platforms, especially GCP (Vertex AI, BigQuery) and/or Databricks, • Strong understanding of data lakes, data warehouses, and real-time data processing, • Soft Skills & Mindset:, • Strategic Leadership:, • Ability to align AI initiatives with business goals and drive long-term technology vision, • Ownership & Accountability:, • Takes end-to-end ownership of architecture, delivery, and outcomes, • Influence & Communication:, • Strong ability to communicate complex technical concepts to senior stakeholders and executives, • Innovation Mindset:, • Continuously explores emerging AI trends and drives adoption of next-gen technologies, • Strong expertise in Machine Learning, Deep Learning, and statistical modeling, • Experience with Generative AI and Agentic AI frameworks, • Hands-on experience with LLMs such as GPT, Claude, Llama, and Gemini, • Strong knowledge of RAG architectures, prompt engineering, context engineering, embeddings, and vector databases, • Experience with agentic frameworks including LangGraph, CrewAI, and AutoGen, • Expertise in Python, SQL, and software engineering best practices, • Experience designing scalable AI/ML systems and production pipelines, • Strong understanding of distributed AI systems, microservices, and APIs, • Experience with MLOps tools such as MLflow, Vertex AI, and Kubeflow, • Deep experience with cloud platforms, especially GCP and Databricks, • Knowledge of data lakes, data warehouses, and real-time data processing, • Strong leadership, communication, and stakeholder management skills, • Experience driving enterprise AI strategy, governance, and responsible AI practices, • Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field Our client is a leading IT Services and IT Consulting Industry and we are currently interviewing to fill this and other similar fulltime positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy _.

Experience working with Databricks, including analytics, data modeling, and machine learning workflows. By learning from others, building on our successes, and taking risks, we constantly raise the bar. We're looking for someone who is intellectually curious and passionate about continuous learning,