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Immediate Opportunities: Full-time Local Class A CDL Truck Drivers • Earn $29 per hour, • Floater, schedule varies based on coverage, • Local, home daily, • $5000 retention bonus You will drive: • Late model, Penske Truck Leasing trucks, • Best-in-class specs designed for comfort, • Equipped with inward and outward facing in-cab cameras helping to ensure safety for all What you will do: -Shuttling auto parts • Average 24 stops per week, • Maintain professional and courteous demeanor when interacting with customers, • Home daily Schedule: • Floater: Monday through Friday with occasional Saturdays, • Dispatch varies based on monthly shift bid, • Dispatch could be AM or PM shift Comprehensive benefits package includes: • Paid vacation and holidays day one, • Generous retirement benefits, • Excellent health care coverage-medical, dental, and vision, • Short and long-term disability; life and AD&D insurance, • Company-provided uniforms, • Employee discount benefit program, • Driver referral bonus program up to $5000 per referral, • Safety incentive program, • Premier Driver Recognition Program Our excellent benefits plan keeps associates and their families happy, healthy, and secure. To learn more visit https://penske.jobs/benefits/ Why Penske? Ready to put your truck-driving career in high gear? Make the shift and fuel your career as a CDL Class A Truck Driver for Penske. When you join Penske, you join a team of professional truck drivers committed to delivering products safely and on time. And we’re proud to haul freight for some of the world’s leading brands. (Yes, we’re more than just the yellow trucks.) But it’s more than that. It’s about incredible customer service and building relationships with your accounts. When you drive for Penske, you’re representing Penske, but you’re also representing your clients. In fact, you’ll probably be driving their branded trucks and wearing their uniform. You’ll be on the move with Penske and so will your career. We have tons of training opportunities for you. And with locations across the nation, you can also move to a new city. Best of all, you’ll be with a stable, nationwide company that is known for having the best equipment, great management, clear communication and a fantastic safety record. We pay every Friday, and for most of our driving positions, you’re home daily. Yes, daily. Are you ready to take it to the next level? Come drive for Penske. Qualifications: • Valid Class A CDL required. Applicants must be domiciled in the U.S. and licensed in their state of residence, • Currently hold, or ability to obtain, a non-excepted interstate DOT medical card required, • 1 year of documented tractor-trailer experience in the last 3 years required, or 2 years of documented tractor-trailer experience in the last 5 years, • 3 years DMV/MVR record with two or fewer moving violations or accidents, • Follow all federal and/or state laws, regulations, and/or agency rules, standards and guidelines, • Regular, predictable, full attendance is an essential function of the job, • In order to be compliant with federal law (49 C.F.R. 391.11(b)(2)), this role requires English language proficiency., • Work the required schedule, work at the specific location required, complete Penske employment application, submit to a background investigation (to include past employment, education, and criminal history) and drug screening required, • This position is regulated by the Department of Transportation or designated as safety sensitive by the company, and the ability to work in a constant state of alertness and in a safe manner is required. Associates must have the ability to accept responsibility for their own safety, as well as the safety of others. Physical Requirements: The physical and mental demands described here are representative of those that must be met by an associate to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • The associate must be able to see and hear. Specific vision abilities required by this job include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus., • While performing the duties of this job, the associate will be required to move frequently, stand, walk, and sit. The associate is frequently required to use hands to touch, handle, and feel, and to reach with hands and arms. The associate must be able to regularly lift and/or move up to 50lbs/23kg and occasionally lift and/or move up to 100lbs/45kg., • The associate must be able to legally operate a motor vehicle and safely and frequently enter/exit the vehicle as well as the rear cargo area. Penske is an Equal Opportunity Employer. About Penske Logistics Penske Logistics engineers state-of-the-art transportation, warehousing and freight management solutions that deliver powerful business results for market-leading companies. With operations in North America, South America, Europe and Asia, Penske and its associates help businesses move forward by increasing visibility and driving down supply-chain costs. Visit Penske Logistics to learn more. Job Category: Driver Job Family: Drivers Address: 4654 Melton Ave Primary Location: US-KY-Louisville Employer: Penske Logistics LLC Req ID: 2606857

The University of Louisville School of Medicine in affiliation with Norton Children's Hospital is seeking an experienced and academically oriented physician leader to serve as the next Division Chief of Neonatology. Highlights of The University of Louisville Neonatology Division: • 9 NICUs (including Level IV and multiple Level III) across Kentucky and Southern Indiana, • 70+ Providers, • Norton Children's Hospital's Level IV NICU is one of the largest and most established units in the country, • Successful Fellowship program admits 3 fellows each year, • Fully integrated academic clinical care model focused on translating clinical research to state-of-the-art bedside care, • Additional locations soon to be added, including a comprehensive Pediatric Academic Healthcare Campus with a 400-bed hospital on 150+ acres The Division Chief of Neonatology will: • Advance the program to the next level by constructing and implementing strategies for programmatic growth across clinical, educational, and research programs, • Provide mentorship to junior faculty and grow the division to meet anticipated clinical access needs coming from additional expansion, • Strategize and Collaborate with Department leadership on the development of brand new Pediatric Academic Healthcare Campus, • Leverage a national/international reputation to advance the profile of the division and University and achieve recognition as one of the premiere institutes both regionally and nationally For more information or to apply to this role, please contact Dirk Jansson, Director of Physician Executive Search at dirk.jansson@jacksonphysiciansearch.com or (470) 374-2705.

The University of Louisville in affiliation with Norton Children's Hospital is recruiting a Radiologist in Chief and Division Chief of Pediatric Radiology to provide strategic, clinical, operational, and academic leadership across the division serving Western Kentucky and parts of Southern Indiana. This role is responsible for ensuring the delivery of high-quality, patient-centered pediatric imaging services, fostering a culture of clinical excellence and innovation, and overseeing the division's education and research activities within Norton Children's and the University of Louisville School of Medicine. UofL Pediatrics Department Highlights: -Grown from 180 to over 400 full-time pediatric faculty since 2020 -Norton Children's boasts the region's only Level I Pediatric Trauma Center (300-bed) and a fully integrated academic clinical care model focused on translating clinical research to state-of-the-art bedside care -150+ acre state-of-the-art Pediatric Academic Center under construction (2030). Radiologist in Chief & Division Chief, Pediatric Radiology:: -Provide leadership and direction for all clinical, operational, and academic activities of NCH's Radiology Division -Collaborate with the Department Chair and hospital leadership on strategic planning, budgeting, and policy development -Recruit, mentor, and develop a diverse and talented team of faculty and staff, fostering professional growth and a collaborative environment -Provide leadership for and actively participate in the education and training of medical students, residents, and fellows -Collaborate closely with pediatric and pediatric subspecialty physicians in multidisciplinary conferences and day-to-day patient management to ensure optimal, integrated care. To submit an application or for more information, please click "Apply Now" or reach out to Dirk Jansson at dirk.jansson@jacksonphysiciansearch.com or (470) 374-2705.

The University of Louisville School of Medicine in affiliation with Norton Children's Hospital is seeking an experienced and academically oriented physician leader to serve as the next Division Chief of Neonatology. Highlights of The University of Louisville Neonatology Division: • 9 NICUs (including Level IV and multiple Level III), • 70+ Providers, • Norton Children's Hospital's Level IV NICU is one of the largest and most established units in the country, • Successful Fellowship program admits 3 fellows each year, • Fully integrated academic clinical care model focused on translating clinical research to state-of-the-art bedside care, • Additional locations soon to be added, including a comprehensive Pediatric Academic Healthcare Campus with a 400-bed hospital on 150+ acres The Division Chief of Neonatology will: • Advance the program to the next level by constructing and implementing strategies for programmatic growth across clinical, educational, and research programs, • Provide mentorship to junior faculty and grow the division to meet anticipated clinical access needs coming from additional expansion, • Strategize and Collaborate with Department leadership on the development of brand new Pediatric Academic Healthcare Campus, • Leverage a national/international reputation to advance the profile of the division and University and achieve recognition as one of the premiere institutes both regionally and nationally. For more information or to apply to this role, please contact Dirk Jansson, Director of Physician Executive Search at dirk.jansson@jacksonphysiciansearch.com or (470) 374-2705.

Job Description Optometrist (Part-Time) — Louisville, KY Compensation: $900 per day/visit Start Date: ASAP Schedule: 1–2 days per month About Us Comprehensive Mobile Care (CMC) is a family-owned, mission-driven healthcare organization delivering onsite vision, dental, podiatry, and audiology services to seniors across 20+ states. For more than 25 years, we've upheld a flawless ethical and legal track record — rooted in compassion, trust, and truly patient-first care. We partner with Senior Centers, Skilled Nursing Facilities, Assisted Living Communities, and Veteran Homes to bring high-quality care directly to the residents who need it most. Our model is built to support you as the provider: we supply state-of-the-art portable equipment, handle all scheduling and billing, and provide an assistant onsite so you can focus entirely on patient care. The Opportunity We're seeking a compassionate Part-Time Optometrist to provide meaningful care to geriatric patients. This is a perfect fit for an OD looking to supplement their schedule, earn additional income, and make a direct impact on an underserved population — without any admin burden. CMC manages all logistics. You show up, deliver great care, and leave knowing you made someone's day a little clearer. What You'll Do • Perform comprehensive eye exams for seniors and underserved populations, • Diagnose and manage a range of ocular conditions, • Prescribe lenses and collaborate with facility staff to support resident needs, • Provide education on preventive eye care and condition management, • Create a respectful, comfortable, and patient-centered environment What We're Looking For • Doctor of Optometry (OD) degree, • Active Kentucky Optometry license, • Experience with geriatric or mobile care is preferred, • Strong communication skills and a warm, empathetic approach, • Ability to work independently in facility-based environments Schedule • 1–2 days per month, • Weekday flexibility, • Standard 8-hour day, typically 8:30 AM–4:30 PM (No weekends) If you're an Optometrist who wants your work to matter while keeping your schedule flexible, this is an opportunity to make a real difference. Apply today and help bring quality vision care directly to those who need it most. 👓

Job DescriptionThis Job at a Glance • Job Reference Id: ORD-196226-MD-KY, • Title: MD, • Dates Needed: Ongoing locum tenens coverage needed, • Shift Type: Day Shift, • Assignment Type: OR, • Call Required: Negotiable, • Board Certification Required: Yes, • Job Duration: LocumsAbout the Facility This large, busy hospital operates 41 operating rooms and maintains a robust anesthesia department. The facility provides comprehensive surgical services across multiple specialties including obstetrics, general surgery, gynecology, ENT, orthopedics, cardiac, neurosurgery, and urology. The hospital seeks locum tenens anesthesiology coverage to support its high-volume surgical operations. About the Facility Location Louisville offers notable attractions including the Louisville Mega Cavern, Louisville Slugger Museum & Factory, and various distilleries alongside local flea and street markets. The area features entertainment venues such as Churchill Downs, the Kentucky Exposition Center, and the KFC Yum Center, providing options for sports, exhibitions, and live performances. Visitors can explore cultural sites like the Muhammad Ali Center and the Louisville Zoo, with additional options for theater performances and art events throughout the year. About the Clinician's Workday The anesthesiologist will provide weekday and weekend call coverage with shifts Monday through Friday working 10-, 12-, or 14-hour days. The clinician will deliver anesthesia services across 41 operating rooms for cases including OB, General, GYN, ENT, Ortho, Cardiac, Neuro, and Urology procedures. Board certification is required for this position, and call requirements are negotiable. Candidates who do not perform cardiac procedures are welcome to apply. Additional Job Details • Case Load/PPD: varies, • Location Type: On-Site, • Prescriptive Authority Required: No, • Government: No, • Percentage Hands On: 0%, • Supervision/Medical Direction: Supervision, • Staffing Model: Team-based model with physicians and CRNAs Why choose LocumTenens.com? Our services are 100% free for clinicians and are designed for a seamless experience with every assignment: • Precision job matching with proprietary algorithm, • Rapid credentialing with Axuall Digital Wallet, • Concierge support with a dedicated clinician deployment specialist, • Digital hub for assignment details

Job DescriptionCompany Description If you love saying YES and enjoy engaging with the community by leading with ART, 21c Museum Hotels is one of the pioneering examples of bridging the worlds of art and hospitality. We combine a multi-venue contemporary art museum, boutique hotel and a chef driven restaurant to create a unique and welcoming opportunity. This is a non-exempt position which is also eligible for tips and commissions. Come join our Flock! Job Description Reports To: Director of Spa and Wellness Supervises: N/A General Purpose: To provide each guest with excellent guest service while performing massage and body treatments that best fit the guests’ needs. Specific Responsibilities: Gets to know all guests who enter the Spa. Offers the highest level of personalized service while maintaining a positive, enthusiastic, helpful and professional attitude with all guests and team members Provides consistent massage and body treatments as directed in training classes and accepted certification practices. Properly cares for equipment and product used throughout the spa facility. Understands the importance of punctuality for spa appointments. Communicates and describes in an articulate manner the spa offerings and their benefits. Discusses treatments with guests, comparing and contrasting the different services on the menu. Recommends and upsells services that fit the guests’ needs. Provides information and knowledge to promote skin care programs that will benefit the guests. Possesses complete knowledge and understanding of all services and products offered. Handles guest questions and concerns with professionalism and courtesy. Responds to guest requests immediately, accurately, and appropriately. Understands the importance of and committed to continuing education. Upholds the standards of sanitation, sterilization, restocking rooms, and the product area. Maintains an understanding of the spa industry and spa philosophy (balance, relaxation, unity, and a healthy lifestyle). Understands that as a representative of the Spa they will maintain a healthy, fit appearance and a positive attitude. Maintains a clean, safe, stocked and well organized work area. Maintains spa appearance and cleanliness. Assists in all areas of the spa operation as directed by management. Assists with special projects as requested. Participates in scheduled meetings as requested. Other duties and tasks as assigned by management. Regular attendance is essential to the successful performance of the position. Due to the nature of the hospitality industry, team members may be required to work varying schedules, weekend, and holidays based on the needs of the facility. Must be able to receive the various services that are offered on our spa menu and be a model for the training of new teammates when requested. Must comply with rules and regulations for the safe and effective operation of the facility. Maintains a friendly pleasant and professional demeanor and appearance at all times. Demonstrates a passion and desire for excellence. Qualifications Excellent, reading writing and oral proficiency in the English language. Comfortable with performing treatments in-room. Understands and follows Bloodborne Pathogens procedures. Able to work without direct supervision. Able to troubleshoot and problem solve. Demonstrated attention to detail. Cooperative and friendly attitude. Able to be efficient in a fast paced environment. Able to perform basic math. Must pass a background check. Education/Formal Training: Passed the required courses and hours necessary to obtain a license in the field. Additional Information All your information will be kept confidential according to EEO guidelines. 21c Museum Hotels is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristic. The EEO is the Law poster is available here: http://www1.eeoc.gov/employers/poster.cfm

Job Description At Hood Container Corporation, we’re searching for a General Manager to oversee our Hood Container Louisville Converting Operations. As a General Manager, you will play a high-impact & critical role within the business by supporting 120+ non-union employees. Hood Container Corporation acquired this facility in 2024, formerly Independent 2, located in Louisville, Kentucky and includes state of the art converting equipment. As General Manager your team members will count on you to provide leadership during the day-to-day operation and will look to you for guidance to establish strategic plans and meet short- and long-term goals. In this role, you will report to the Vice President of the Industrial Packaging Business and partner with senior leadership to make an impact within the integrated business and industry. How You Will Contribute: • Model and advance our Guiding Principles & Leadership Characteristics amongst the team., • Lead entire operation of plant including shipping & receiving, safety, quality, manufacturing, maintenance, customer service, sales, HR, and finance., • Establish and manage plant budget to meet and exceed volume and profitability goals., • Develop and implement continuous improvement plans that align with the vision and strategy of the organization and your local facility., • Develop and support local leadership to maintain and improve plant efficiency., • Continuously keep up to date on current organizational and industry knowledge / practices., • Value safety as a top priority and work closely with safety department to enhance current safety protocols and procedures., • Support the Hood Container integration value by work closely with business unit leaders to identify and implement improvements and advancements., • Develop and manage all capital projects., • Develop and maintain relationships with customers. What it Takes: • Bachelor’s degree in business, engineering, or related field., • Ten (10) years of industry experience in a management role, experience corrugated packaging preferred., • Financial management, capital management and budget knowledge as well as ability to interpret and analyze financial data., • Ability to develop solutions that balance employees and the needs of the business., • Demonstration of dynamic communication and interpersonal skills, able to work with all types of personalities., • Adaptability is key as you will need to navigate and demonstrate flexibility in an environment that can be ambiguous and uncertain. Why you’ll love working at Hood Container • Competitive pay & benefits: We offer a base salary, a transparent annual bonus program, and a comprehensive benefits package to keep you healthy and happy., • Caring & Empowering Company Culture: Supportive & collaborative team dedicated to seeing you & your team unbox potential to help make a difference & make customers happy., • Entrepreneurial Mindset: Autonomy and ownership of your local facility to be agile and make a lasting impact. About Us Hood Container Corporation is a family-owned, Mill to Market company, specializing in containerboard and kraft paper, corrugated boxes, high graphic displays, and contract packaging. Our commitment to customer happiness, employee well-being, environmental stewardship, and operational excellence drive our business. Over the last decade, Hood Container Corporation has grown to become one of the top ten Paper and Packaging Companies in the United States. Our goal is to have a diverse workforce that is representative, at all job levels, of the citizens and customers we serve. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

Primary Care Physician – Practice Ownership & Succession Opportunity Reclaim the Practice of Your Dreams What if you could return to the heart of medicine- the kind of practice where you know your patients by name, have time to listen, and play a meaningful role in their long-term health? This rare opportunity allows you to step into an established, thriving MDVIP-affiliated primary care practice in Louisville, Kentucky. You won’t just be inheriting a patient panel; you’ll be carrying forward a trusted legacy while shaping the future of care with the freedom, resources, and balance you’ve always wanted. What Makes This Different • A Practice to Call Your Own – Acquire a well-established practice with a loyal patient base that’s built on years of trust., • Time to Truly Care – See just 8-10 patients per day, with longer appointments designed for personal preventive care., • Preventive, Personalized Medicine – Focus on wellness, prevention, and meaningful relationships rather than volume-based care., • Work-Life Balance – A manageable schedule that respects both your patients’ health and your own well-being., • Autonomy with Support – Lead independently while tapping into the strength and scale of MDVIP’s national physician network. What You Bring • Board certification in Internal Medicine or Family Medicine, • Active medical license (or eligibility to obtain), • A passion for patient-centered, preventive care, • Outpatient primary care experience (5+ years preferred), • Interest in ownership and long-term practice leadership, • Commitment to community, legacy, and lasting relationships Why MDVIP? Joining MDVIP means more than changing your schedule—it’s about transforming your practice and your future. You’ll have the independence of ownership, the security of a proven model, and the resources of a national network. Physicians affiliated with MDVIP consistently report higher satisfaction, better patient outcomes, and the fulfillment that comes from returning to the art of medicine. About MDVIP MDVIP is the nation’s leader in personalized primary care, empowering more than 1,400 affiliated physicians to care for over 425,000 patients nationwide. Recognized as a Great Place to Work® since 2018, MDVIP provides the infrastructure, tools, and support that enable physicians to deliver truly individualized care. MDVIP is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse workplace. We welcome applicants of all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other protected status. We believe that diversity and inclusion drive innovation and strengthen our company culture. If you require accommodations during the application or interview process, please let us know, and we will be happy to assist.

ACQ Media is the in-house media engine behind _, producing long-form series, podcasts, and daily social content at studio scale for millions of viewers. We are building an AI-native production system that makes our team measurably faster, more consistent, and more capable than any team operating without it. The Senior AI Engineer, Media is the technical builder who ships that system. You design, construct, and maintain the agentic workflows, internal AI tools, and generative media pipelines that power every department in our studio operation. This is a production engineering role: prototype rapidly, but ship to a bar production teams can rely on every day. This is a senior individual-contributor engineering role. You are not managing a team, and you do not own the strategic roadmap — the Head of AI does. You make architectural and shipping decisions inside that roadmap, flag what will not work, and ship on a timeline production can plan against. You report to the Head of AI, Media with a dotted line to the CTO. A second hire — a generative-media specialist focused on the creative tooling layer — will follow this one and partner with you on the deepest creative work. Design, build, and maintain agentic AI workflows, owning the full lifecycle from prototype through production monitoring. Framework choice is yours — LangChain/LangGraph, CrewAI, Google ADK, Anthropic’s managed agents, OpenAI Agents SDK, or no framework at all if that is the right call Build and operate generative media pipelines (video, audio, captioning, thumbnails, long-form to short-form repurposing) using ComfyUI, Fal, and direct model APIs. You will partner with the generative-media specialist on the deepest creative-tooling work once that role is filled Ship internal AI tools and dashboards (including search, retrieval, and MCP-exposed surfaces) that give Post, Art, Content, and Marketing teammates direct access to AI workflows without engineering support Build evaluation, monitoring, and failure-recovery systems for every workflow you deploy, including managed compute, model hosting, and API cost optimization Partner with the CTO and Tech team on infrastructure, deployment, security, and IP and data handling standards across all AI systems Translate department pain points into engineered solutions with measurable outcomes, train the receiving teams, and document every system you ship 5+ years building production software, with strong Python, API design, databases, and cloud infrastructure fundamentals. Enough frontend competence to ship a usable internal tool without a dedicated frontend engineer 2+ years building production agentic AI systems — framework-based (LangChain, LangGraph, CrewAI, Google ADK, Anthropic managed agents, OpenAI Agents SDK, AutoGen, or equivalent) or framework-free with custom orchestration. Hands-on experience with RAG (including multi-modal), evaluation, and prompt engineering Strong instincts for agent-tool interface design. Direct MCP experience is a plus; the bar is the ability to reason clearly about tool surfaces, schemas, granularity, and statefulness Proven track record building internal tools, dashboards, and API integrations that non-technical users actually adopt. Comfort partnering directly with creative roles — editors, writers, producers, designers — and translating their workflows into systems Demonstrated ability to operate in ambiguity, prototype rapidly, and ship production-grade systems without a fully scoped specification Direct, professional experience running media production AI workflows with tools like ComfyUI, Fal, and similar generative platforms (including video diffusion, LLMs, and audio generation models) Experience working inside or directly supporting media, video production, or content operations teams Two or more production-grade AI workflows deployed and actively used by department teams within 90 days, with monitoring and evaluation in place. The first will be a multi-modal search and retrieval tool for our long-form content library, surfaced both as a web portal and an MCP server Measurable reduction in turnaround time for at least one major production pipeline (editing, thumbnails, repurposing, or captioning) within 90 days Within 12 months, the AI systems you ship are demonstrably enabling content output to scale faster than headcount on the production teams using them, measured against pre-launch baselines Within 12 months, external AI agency and contractor spend is reduced to near-zero for work that falls within the systems you have shipped (excludes foundation model API costs) Every deployed system has documentation, a named owner on the receiving team, a success metric, and a maintenance plan Standard business hours, Pacific or Mountain time alignment preferred for studio overlap, with occasional flexibility for production deadlines and launch windows Full-time, remote (US-based) Light travel may be required for studio events $175,000 - $200,000 base salary The salary range may be inclusive of several levels that would be applicable to the position. Final salary will be based on a number of factors including, level, relevant prior experience, skills, and expertise. This range is only inclusive of base salary, not benefits (more details below). We offer a comprehensive, evolving benefits package designed to support your health, family, and wellbeing. Some key offerings: Flexible Unlimited Paid Time Off and Company-wide Holidays Employer sponsored Medical, Dental, & Vision plans $1,950 annual Employer HSA contribution FSA options including dependent care Employee assistance program and mental health resources Employer match program for 401(k), eligible for both Traditional and Roth accounts $1,200 annual wellness reimbursement through _ that supports health, family care, pet care, fitness, and more! For local or visiting team members, enjoy access to a state of the art gym at our HQ in Las Vegas • Benefits eligibility applies only to full-time roles. Our core values are the heart and soul of this incredible company. The right person for this role will appreciate each of these values, personally subscribe to them, and understand why each is critical to having a great business. Be at your best when your best is needed. Enjoyment of a hard challenge. Those who have the drive to constantly improve, the superior intellect and long term commitment to see incremental improvements become compounding returns. Have the self awareness to accurately perceive and communicate hard truths that improve others and self, the courage to do so, and the humility to accept them, even when it hurts. Nothing great can be built without feedback: internally or externally. Be the type of person with whom people are always proud to associate, personally and professionally. We look for true alignment of thoughts, words, and actions towards a goal worth pursuing.

Altimate AI, founded in 2022 in San Francisco, is revolutionizing enterprise data operations through the power of AI. Our mission is to alleviate the burden on overworked and understaffed enterprise data teams by providing innovative AI-driven solutions that automate and accelerate a wide range of data tasks. Our flagship product, DataPilot, offers advanced data automation capabilities, while our new DataMates technology brings the concept of agentic AI to data operations, acting as virtual teammates for data professionals. Our solutions seamlessly fit into existing tools like _, Git, and Slack, performing tasks ranging from data documentation to performance optimization. By leveraging a proprietary framework that combines multiple language models and a custom-built knowledge graph, we enable contextually aware AI agents that integrate seamlessly into existing workflows. Our solutions, including ambient AI for continuous monitoring and optimization, are designed to meet the growing demands of data operations, business intelligence, and analytics in an era of ever-increasing data volumes. Used by thousands of users across the world, and backed by prominent investors , we're positioned at the forefront of the AI-powered data engineering revolution. You can read more about us in a recently published _. As a team, we are Silicon Valley veterans who previously created category-defining data and AI products loved by thousands of companies worldwide. We have experienced the journey of a small startup to IPO very closely. We have started on a similar journey again and are backed by prominent advisors and VC firms with multi-billion dollar portfolios. We're in search of a Staff Software Engineer who brings a passion for innovation and problem-solving, not limited to traditional coding. This role is for those with deep expertise in server-side languages, database technologies, and cloud infrastructure, excited to design and build the backbone of our AI solutions. The ideal candidate will play a crucial role in enhancing our AI capabilities, developing high-performance back-end systems, and integrating advanced AI into data teams' daily workflows. Qualifications: Required: 10+ years of experience building Python-based web application backends and the infrastructure on which they run Extensive experience in building scalable back-end systems, APIs, and microservices Deep understanding of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) Preferred: Experience with FastAPI for building high-performance APIs Familiarity with AI and machine learning concepts, particularly in the context of Large Language Models (LLMs) Strong proficiency in SQL, including query profiling, optimization, and performance tuning Experience with SQL Abstract Syntax Tree (AST) analysis and working with SQL parsers (e.g., sqlglot) Projects You'll Work On: Backend Integration of LLM Architectures: Lead the development and maintenance of the backend infrastructure that powers state-of-the-art Large Language Model (LLM) architectures, including RAG, ReAct, and Agent-based systems. Architect data pipelines for processing extensive datasets and devise AI-powered endpoints crucial for our SaaS application and VSCode Extension. Graph-Based Data Structure Design: Design and develop large-scale graph-based data structures that effectively model complex data stores. Create intricate, efficient structures that can be fed to our AI applications as context, ensuring both scalability and performance. Intelligent SQL Ecosystem: Lead the design and development of a comprehensive SQL intelligence system encompassing query optimization, dynamic pipeline generation, and data lineage tracking. Leverage expertise in SQL query profiling, AST analysis, and parsing to create a sophisticated engine focused on query performance improvements and implementing granular column-level lineage. Impact: Innovation at the Forefront: Push the boundaries of software engineering by combining traditional techniques with cutting-edge AI technologies. High Visibility & Impact: Directly affect the productivity and capabilities of global data teams, as your contributions will be crucial to the daily operations of thousands of users spread across 100s of countries. Open Source Contribution: As part of our commitment to the developer community, you will contribute to our open-source initiatives, gaining recognition in the tech community. Career Growth: This role is a launchpad into the rapidly advancing field of AI, offering exposure to state-of-the-art technologies and generative AI applications. Competitive salary and equity Base Salary Range: $50,000 - $120,000 [influenced by your expertise, where you live, how the interview goes, and how well you match the role] Equity: 0.0% - 0.4% Extensive professional development opportunities and resources for continuous learning Dynamic and intellectually stimulating work environment with a team of talented engineers Opportunities to shape the direction of the company and leave a lasting impact If this sounds like the perfect role for you, we can't wait to meet you! Apply now and let's build something amazing together.

Swat.io is a Software-as-a-Service product that supports marketers in Social Media Publishing and Community Management. We are proud to be an independent, self-financed, product-led SaaS company focused on building a product that users actually love. Today, our goal is to continue growing sustainably and join the top 1% of SaaS companies with over €10 million in ARR. We want to create a meaningful impact for our customers, team, and company, becoming an integral part of our customers’ daily workflow. Guided by our core values - we add value, we drive progress, we own it, we thrive together — we prioritize quality over quantity. We focus on exceptional talent and a collaborative, supportive culture, believing that revenue follows quality, not the other way around. At Swat.io, we're a team of 50 people with diverse backgrounds. We rarely open new roles, as we focus on staying lean and agile, and when we do, we’re looking for makers who thrive in this kind of environment. We're looking for a Head of Sales who understands how sales thrives in a product-led, self-service-driven company, where the product speaks for itself, and we don't build custom features to close deals. You’ll lead the reboot of our sales function from the ground up, working side-by-side with one Sales Manager to establish a high-trust, high-impact duo. Together, you’ll lay the foundation for a scalable, structured, and modern SaaS sales engine. This is a hands-on leadership role: you’ll jump into deals, test out messaging, refine processes in real-time, and lead by example. This role demands a winning mentality and entrepreneurial spirit, someone who challenges assumptions, pushes limits, and turns vision into action. You’ll shape a sales culture built on excellence, experimentation, and ownership, while playing a key role in Swat.io’s leadership team and overall strategy. • As our new Head of Sales, your mission is to rebuild and lead a focused, high-performing sales function that complements Swat.io’s Self-Service motion in segments it can’t serve alone., • This is a hands-on role: you'll be actively selling, shaping processes, and turning strategy into action. Your initial priority is to prove what works, build lean, repeatable sales systems and processes with measurable impact. Once the established foundations are showing continuous results and additional headcount is truly needed to scale further, there is a dedicated budget to add more headcount to the sales team., • You’ll start by working closely with the one Sales Manager currently on the team. You’ll dive deep into our product, customers, GTM strategy, past challenges, and sales dynamics to identify what’s working, what’s not, and where we need to go., • You'll play a key role in coaching, supporting, and developing the Sales Manager. Through close collaboration, you’ll refine sales processes together, share learnings, and shape the direction of the team., • From there, you'll design and implement a modern, scalable sales approach aligned with our product-led Self-Service first model, focused on repeatable processes, predictable results, experimentation, and smart execution., • You’ll collaborate closely with Marketing, Product, and Account Management to integrate Sales into our GTM engine. As part of the leadership team, you’ll also shape company-wide strategy and drive sustainable growth., • Your impact will be measured not just by new MRR and quota attainment, but equally by how well you can turn strategy into systems, develop the team, and create a lean, effective sales function that lasts., • You bring at least 5 years of experience in B2B SaaS sales, with a proven track record not just in handling inbound leads, but in building your pipeline, creating opportunities through outbound efforts, and consistently driving revenue across the full sales cycle., • You’ve led small teams (1-3 people) before - coaching, supporting, and holding people accountable, while staying operational yourself. You don’t just follow sales processes, you build and improve them as you go., • You have strong business acumen and think beyond individual deals. You value teamwork and look for ways to work closely with product, marketing, and customer success to create impact across the whole company., • You’re someone who takes ownership, works independently, and stays organized without needing much direction. You know how to get results in dynamic, resource-conscious setups where focus and efficiency matter., • You’re actively using and understanding AI to work smarter, not harder. You see AI as a practical advantage, not just a buzzword., • You’re ambitious and results-driven, but not at any cost. You believe in honest, consultative selling, and you know when to challenge assumptions or walk away from a deal. You bring a mindset of experimentation and ownership, align with our values, and focus on long-term team and company success beyond just numbers., • You're fluent in both English, which is our company language, and German, as the role requires regular communication with many German-speaking prospects and customers. Since the majority of our customers are in the DACH region, fluent German is a must for this role., • In our day-to-day Sales management work, we use LinkedIn Sales Navigator and HubSpot., • We are open to trying new tools if we see the benefit and impact on our work and our results., • The entire Swat.io team uses state-of-the-art tools like Google Suite & Linear, Notion, and communicates extensively via Slack, Google Meet & Co., reflecting our hybrid culture., • We coordinate through weekly team meetings and work on daily tasks as well as projects. Quick check-ins usually happen asynchronously via Slack, while more in-depth topics are discussed in video calls. Brainstorming sessions and workshops are held either remotely or on-site at the office., • Strong communication with other Heads of and close collaboration across teams, including Development, Product, Marketing, Customer Experience, People, and Operations, are essential for your work, whether remotely or in the office., • Personal development: An exciting opportunity to shape how Sales works at Swat.io and to co-create best practices with the team., • Annual learning & development budget: You’ll receive €1,000 per year and 4 additional days off for professional or personal development., • Professional equipment: We’ll equip you with everything you need: MacBook, smartphone, headset, and more., • Salary model: Permanent All-in contract with a gross annual on-target-earning starting at €86.000 (pre-tax) for 38.5 hours/week, depending on qualifications and experience, we will determine the actual compensation package., • The compensation package includes:, • Base salary (~70%), • Variable component (~30%), linked to performance:, • 10% based on individual sales targets (quarterly), • 10% based on team sales targets (quarterly), • 10% leadership bonus based on company performance (yearly), • Our commission is uncapped: the more you and your team sell, the more you’ll earn at the end of each quarter., • Flexibility: We work with a flexible hours model with no core working hours that allows you to shape your workdays around your needs and those of your customers., • Remote-friendly model: During your onboarding, we'd love to welcome you to our office near Längenfeldgasse (U4,U6) subway station in Vienna to set you up for success. For how long? This will depend on where you live and what we agree on together. After onboarding, you'll have the flexibility to work from anywhere in Austria regularly, as we believe in the power of remote work., • Remote work abroad: Work from anywhere in the world for up to 3 months per year - just keep time zones and our monthly in-person Leadership Team Meetings in mind., • In-office collaboration: Your presence in the office will be required for certain meetings or occasions. Our Sales and Leadership teams meet 1-2 times per month in the office to align on strategic and team-specific topics. The whole company meets twice a year in Vienna. If you are located outside of Vienna, we will support your travel costs., • Family-friendly: We guarantee your job after parental leave and offer truly flexible working hours and models. Around 40% of our team members are parents, showing how seriously we take work-life balance., • Team spirit: At Swat.io, we are makers who excel at what we do while caring for each other’s well-being and creating a supportive environment. We have regular team activities and company events that bring all Swaties from around the world together to connect and celebrate., • Public transport support: If you’re based in Austria, we support you with a yearly public transport ticket (Vienna public transport pass or a portion of the KlimaTicket). Annoying micro-management Office politics Lengthy coordination and approval processes Monotonous tasks and boring work Egos and bullshit before real results Your contact people are Manuel, the direct manager for this role, and Jane, our People & Culture Manager. CV screening Intro Interview with Jane Technical interview with Manuel Leadership skills interview with Tanja, our Head of People & Culture Assessment Round Meeting the rest of the Leadership team and Dennis, our Sales Manager in the office Offer & open questions Our job posting got your attention – great! We are looking forward to getting to know you better. Show us who you are – we are interested in your personality and how you fit into our team to support our ambitions. The preferred starting date is as soon as possible, but we are ready to wait for our perfect candidate ;) If you have questions about us and our culture, our Team, or our recruiting process, check out our company page:_ and the FAQ section. Dennis, our Sales Manager, always brings a positive vibe. Fueled by coffee, he passionately showcases the quality of our product to potential new customers and enthusiastically contributes to exciting projects.

tldr; We build software for Airbnbs to rent themselves, with a state-of-the-art product and user experience. We are bold, like risks, and take on big challenges together. We believe in the value of team diversity and seek candidates from a wide range of backgrounds in their work, life, culture, and experiences. We have crafted an Applicant Handbook, which we highly recommend you check out, where you can find out more about the company, culture, how we recruit, what we do, and how we do it: _ Our customers love the product, provide valuable feedback, and trust us to rapidly help with their problems. Feel free to check out one of our public Town Halls for yourself: _ Hospitable.com is a remote-only and fully distributed company. We hire based on timezones, not countries. As the Customer Advocate Lead, you will lead and empower our US support team to deliver an exceptional customer experience. Your first priority will be to hit consistent response times. We have a pretty solid foundation and our passionate team excels at delivering great experiences with our current processes—maintaining an average CSAT of 87%. We’re looking for someone who can take what’s working and make it even better. To accomplish this, you will: • Manage queue distribution in our chat support system and workload across the US support team to maintain target response times and SLAs. We're aiming for a first response time of <5mins for live chat and a total resolution time of 12h., • Coach and develop team members through regular 1:1s, performance reviews, and real-time feedback., • Handle technical troubleshooting and empower the team to resolve issues that require strong product and systems knowledge, as well as managing customer escalations and high-priority issues., • Review and quality check team's support interactions and documentation., • Train new team members on tools, processes, and product knowledge., • Regularly work in the queue to stay connected to customer needs and model best practices for the team. You will typically spend 30-40% of your time in the queue., • You will report to our Director of Support, and work with our other amazing support leads such as Kelly whose favorite fruit is dragon fruit. For this position, we are looking to recruit someone in any of the US time zones. Candidates in countries outside of such time zones will not be considered. If you're hesitant to apply for this position because you feel that you don't meet this list of qualifications fully, don't worry! We still want to hear from you. • Experience in customer support in the SaaS industry, including experience as a team lead or in a senior role., • Proven track record of managing chat support queues and improving team metrics (response times, customer satisfaction, resolution rates)., • Strong technical aptitude, with proven ability to investigate complex SaaS product issues, work across systems, and partner closely with engineering., • Experience coaching and developing team members, with strong interpersonal and feedback skills., • Strong written and verbal communication skills for both customer and internal interactions., • Ability to balance competing priorities between team management and hands-on support work., • Very special kudos if you have experience specifically in the short-term rental or property management industry. The company itself is also a product, one that we iterate on. We're always improving and creating an environment where we all love to work. • A supportive and caring team environment, where you are trusted, not managed., • The total budget for this role is within US$96,220.80 - $120,614.00 depending on the cost of living in your location. We can hire talent internationally as contractors—or employees if you are based in the United States, the European Union, or Australia, taking into account payroll taxes to determine your gross compensation. This means that the gross salary for US employees could be anywhere between $81,787 to $102,521 depending on the cost of living in your location., • We also offer options into the company equity through _ (not tied to location)., • 35 days off per year, encouraged (including self-serve public holidays) and parental leave., • Mental-health and emotional support with therapists on call through Slack by _., • Recognized on Inc.’s list of _

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Open to hiring remote across the US — preferable to have someone near an office in NYC or San Francisco. Video and creative work is becoming programmable. Runway is building the developer platform that turns generative video into production-grade outputs for all: reliable, composable, controllable, and scalable. We’re hiring a Senior PM to own that platform end-to-end. Join us at the inflection point as models hit “deployable quality” and the demand shifts from experiments to real product pipelines. You’ll own the strategy, the roadmap, and the cross-functional execution that makes Runway the default choice for developers and agents both. This is a high-impact role at the center of Runway’s next growth vector. You’ll define and ship new endpoints (not just model wrappers), unlock agent-first distribution surfaces, and ensure enterprises can deploy on Runway with confidence. You’ll stay close to customers, developer systems, and the business, with a mandate to make clear ambitious bets and ship them. Own the developer platform strategy and roadmap to ensure it serves both the needs of individual developers and enterprises Drive growth of API usage and revenue week over week Define and analyze success metrics, talk with users weekly, and ship quickly against ambitious goals Be the connective tissue across engineering, design, marketing, and sales: translate customer needs into crisp specs, unblock execution, and land launches with strong storytelling 4–7+ years of product management experience, ideally on developer-facing or technical products (APIs, SDKs, platforms, infra-adjacent systems, or devtools) Excitement about ambiguity and high ownership opportunities for impact Familiarity with the latest ML-driven coding trends and the future of agentic development Ability to operate at the highest levels at both the strategic and execution layers Excellent written and verbal communication Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. _ We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway _ _ _ _ _ _ _ We're excited to be recognized as a best place to work: | | |

ABOUT THE TEAM Adaptive ML is a frontier AI startup building a Reinforcement Learning Operations (RLOps) platform that enables enterprises to specialise and deploy LLMs into production with measurable impact. We provide the core infrastructure to tune, evaluate, and serve specialised models at scale — pioneering task-specific LLM development and running production-ready workflows that serve millions of requests while optimising for both cost and performance across distributed systems. Our tightly-knit team was previously involved in the creation of state-of-the-art open-access large language models. We raised a $20M seed led by Index Ventures and ICONIQ in early 2024, and we’re already live in production with customers including Manulife, AT&T, and Deloitte, across travel and financial services — with much more to be announced soon. ABOUT THE ROLE We’re looking for a Customer Success Engineer to be the technical backbone of our customer relationships — from the first technical conversation through to long-term production success. Based in New York City, you’ll operate across the full customer lifecycle: deep enough technically to win enterprise deals in pre-sales, and commercially minded enough to grow and retain the accounts you help land. The best people in this kind of role run rigorous discovery, design architectures that solve real business problems, and earn the kind of trust that makes customers come back for every major decision. You won’t just hand off after a deal closes. You’ll stay embedded: owning deployment success, driving adoption, and becoming the trusted technical advisor your customers rely on in production. The role suits someone who has operated at the intersection of Solutions Engineering and Customer Success before, or a strong Solutions Architect ready to own the full arc of customer value. WHAT YOU’LL DO Pre-Sales Lead customer-facing workload planning — understanding model usage patterns, expected throughput, and infrastructure constraints to scope solutions accurately from day one. Own solution architecture in the sales cycle: infra selection, TCO calculation, and performance benchmarking tailored to each prospect’s environment and LLM workloads. Design and deliver compelling technical demos and proof-of-concept implementations that map Adaptive ML’s capabilities directly to customer pain points and existing infrastructure. Respond to technical evaluations, RFPs, and security reviews; go deep with engineering and data science counterparts on architecture decisions and integration requirements. Partner with Account Executives to shape deal strategy, accelerate procurement timelines, and remove technical blockers standing between a prospect and a signed contract. Post-Sales Own technical onboarding end-to-end — designing integration architectures, working directly with customer engineering teams, and driving time-to-first-value. Support and continuously optimise live deployments: cost optimisation, performance tuning, and workload expansion across multi-geo and multi-team customer environments. Be the escalation point for production issues — investigating and debugging problems spanning k8s deployments, Helm configurations, model serving infrastructure, and distributed systems. Drive workload expansion proactively: surface new use cases, additional model workflows, and untapped product capabilities that create value across your account portfolio. Conduct regular technical and business reviews with customer stakeholders, translating infrastructure metrics into business impact and building the case for renewal and growth. Internal & Cross-Functional Build reusable technical assets — reference architectures, integration guides, runbooks, and demo environments — that scale knowledge and accelerate future deals. Act as the voice of the customer internally: channel field insights directly to Product and Engineering to shape the roadmap and prioritisation. Contribute to infra sizing and workload planning discussions alongside Solutions and DevOps colleagues, with particular focus on the NA region (NYC/Toronto coverage). YOUR (IDEAL) BACKGROUND We encourage candidates to apply even if their experience doesn’t match every point below. Experience 3–6+ years in a customer-facing technical role — Solutions Engineer, Solutions Architect, Customer Success Engineer, or Technical Account Manager — ideally in B2B SaaS, cloud, or infrastructure. Proven ability to operate across both pre-sales and post-sales: you’re as comfortable running a technical architecture review for a VP of Engineering as you are debugging a production incident with a DevOps team. Track record with enterprise customers in complex technical environments — multi-stakeholder deals, long sales cycles, and durable post-sale technical relationships. Demonstrable outcomes: successful deployments, adoption growth, expansion revenue, or strong renewal rates. You own the result, not just the activity. Experience at a fast-growth or early-stage company is a strong plus — you know what it takes to build things from scratch under pressure. Technical Skills Strong infrastructure instincts: you can confidently size GPU and storage requirements, reason about TCO trade-offs, and produce architecture diagrams that a CTO would trust. Skilled at architecture design — you can whiteboard a solution live, document it clearly, and defend design decisions with technical rigour. Hands-on with Kubernetes (k8s): you can investigate deployment issues, read and edit Helm charts, and navigate distributed systems problems in production environments. Python proficiency — enough to build proof-of-concepts, write integration scripts, and benchmark model performance against real customer workloads. Familiarity with ML infrastructure concepts: model serving, LLM fine-tuning, inference optimisation, and the operational realities of running models at scale is a strong plus. Comfortable working alongside DevOps and SRE teams; you understand their tooling, constraints, and language. The Right Profile You ask sharp discovery questions, design clean solutions, and earn trust through genuine expertise rather than commercial polish. Strong communicator across audiences — you can simplify a complex distributed architecture for a CFO and go deep on inference latency with a staff ML engineer in the same afternoon. You own outcomes. In fast-moving, ambiguous environments you figure out what matters and act — you don’t wait for a brief. Genuine curiosity about generative AI and LLMs. The technology you’re selling and supporting moves fast; intellectual interest in the space makes a real difference. Based in New York City, comfortable in the NA time zone for customer-facing coverage. BENEFITS Comprehensive medical (health, dental, and vision) insurance. 401(k) plan with 4% matching. Unlimited PTO — we strongly encourage at least 5 weeks each year. Mental health, wellness, and personal development stipends. Visa sponsorship available if required.

JOB SUMMARY Iambic Therapeutics is seeking a Software Engineer to join the NeuralPLexer team, focusing on the engineering systems that enable machine learning research to translate into robust, scalable workflows for drug discovery. This role sits directly alongside ML scientists and emphasizes co-development: helping design, implement, and harden the workflows used to train, evaluate, and apply models on structural (e.g., protein–ligand complexes), affinity, and synthetic data. You will play a key role in turning research code into reliable, reusable systems—without being responsible for core model development. This is a remote position based on the US East Coast. KEY RESPONSIBILITIES Work embedded with ML scientists to co-develop and refine model training and evaluation workflows Translate experimental research code into maintainable, well-structured, and reusable systems Build and expand benchmarking systems for running models on structural and affinity datasets, computing metrics, and supporting reproducible evaluation Enable rapid iteration by developing tooling and interfaces that expose new capabilities to researchers Contribute to the ongoing development and productization of NeuralPLexer Collaborate with platform and infrastructure engineers on scaling workflows where needed, without owning core infrastructure Perform code reviews and actively mentor best practices in software engineering across the team Improve reliability, clarity, and reproducibility of ML workflows and supporting systems Communicate technical work effectively across a cross-functional research and engineering team QUALIFICATIONS Required 8+ years of software engineering experience (or equivalent), ideally in ML-adjacent or data-intensive environments Strong Python skills and demonstrated rigor in software engineering practices (testing, versioning, code quality) Experience working closely with ML practitioners or in research-driven environments Experience building or supporting ML workflows, data pipelines, or evaluation systems Ability to operate in partially defined, research-heavy environments and bring structure to evolving codebases Strong collaboration skills and comfort with pair programming and iterative development Preferred Experience with scientific or computational research environments Familiarity with structural biology, chemistry, or molecular modeling workflows Exposure to cloud-based systems (e.g., AWS, Kubernetes) and/or HPC Experience working with large-scale or heterogeneous datasets ABOUT IAMBIC THERAPEUTICS Iambic is a clinical-stage life-science and technology company developing novel medicines using its AI-driven discovery and development platform. Based in San Diego and founded in 2020, Iambic has assembled a world-class team that unites pioneering AI experts and experienced drug hunters. The Iambic platform has demonstrated delivery of new drug candidates to human clinical trials with unprecedented speed and across multiple target classes and mechanisms of action. Iambic is advancing a pipeline of potential best-in-class and first-in-class clinical assets, both internally and in partnership, to address urgent unmet patient need. Learn more about the Iambic team, platform, pipeline, and partnerships at _. MISSION & CORE VALUES Our mission is to deliver better medicines through innovations in AI-based discovery technologies. The culture and work at Iambic Therapeutics are profoundly strengthened by the diversity of our people and our differences in background, culture, national origin, religion, sexual orientation, and life experiences. We are committed to building an inclusive environment where a diverse group of talented humans work together to discover therapeutics and create technologies. PAY AND BENEFITS We offer industry leading competitive pay, company paid healthcare, flexible spending accounts, voluntary life insurance, 401K matching, and uncapped vacation to our team. We are in a brand-new state-of-the art facility in beautiful San Diego with an onsite gym, dining, and easy access to great places to live and play.

At runZero, we're a team of dreamers and creative thinkers who aren't afraid to shake up the status quo. Fixing what’s broken with legacy vulnerability management and overcoming persistent, decades-old problems requires a new approach. Our platform provides a single source of truth for exposure management across the total attack surface. Without requiring agents, authentication, or appliances, runZero delivers the most complete and accurate visibility into every asset and exposure across internal, external, IT, OT, IoT, mobile, and cloud environments — including uncovering unknown and unmanageable devices and broad classes of exposures that evade traditional tools. Founded by HD Moore (creator of Metasploit), runZero is trusted by more than 500 companies and 30,000 users worldwide to find and mitigate risks faster, meet compliance requirements, and improve overall security. See for yourself with a _! We are growing the runZero Engineering team and are looking for a Senior Software Engineer (Go) to join us in developing the runZero product. Our engineers work together to deliver an outstanding customer experience by coding, troubleshooting issues, listening, learning, and cheering each other on. You will be working as part of a team focused on building and supporting a state-of-the-art asset and network discovery platform. • Develop and maintain high-quality, performant web applications using Go, Vue.js, and other technologies, • Build features and solve problems that frequently span front-end and back-end concerns, • Collaborate closely with product management, design, frontend, and backend engineers to understand customer needs and translate them into product features, • Participate in code reviews, providing constructive feedback to team members, • Conduct thorough testing and debugging to ensure the performance and quality of both front-end and back-end code, • Contribute to the continuous improvement of our products, technology, and practices with a pride of ownership, • Stay up-to-date with the latest trends and best practices in front-end, back-end, and architectural development, • Have an opinion, play well with others, work hard, and enjoy being a core member of a growing startup!, • You are proficient at writing advanced Go and working with large Go codebases, • Experience with other parts of our stack (PostgreSQL, Linux, Vue.js) is strongly preferred, but deep experience with related technologies and a desire to learn can work for the right candidate, • Experience designing and implementing RESTful APIs, writing and tuning SQL queries, and working with relational databases, • Experience designing and optimizing data structures / schemas and indexes in relational databases, • Thorough understanding of the responsibilities of the platform, database, API, caching layer and other web services used in modern software systems, • Proficiency with standard development tools and paradigms (Git, GitHub, CI/CD, etc.), • Proactive approach to problem-solving with strong decision-making skills, • Positive attitude and entrepreneurial spirit, • Excellent communication and teamwork skills, • Knowledge of approaches for testing, debugging, profiling, and optimizing software applications, • Solid understanding of the HTTP protocol and the web browser security model, • Experience working within one of the major cloud provider environments (AWS preferred, GCP, Azure), • Familiarity with network design, security, and scanning can be helpful but is in no way required to be successful runZero values transparency in the hiring process. According to our market data, we’re expecting this role to come in at a salary of about $160k-$190k, plus stock options. We know that the talent market is always in flux, so please let us know if you believe we have advertised this role in the wrong salary band. For more information on what it's like to work at runZero, please visit our_ We value your time and see the interview process as a critical two-way street, allowing us to assess your skills, strengths, and cultural fit while simultaneously providing you with a clear understanding of our company, our ways of working, and the expectations specific to the role you’re seeking. To this end, our interview process incorporates a combination of: • Initial one-on-one interviews with a recruiter and manager, • Panel interviews with the team, • Candidate challenge - a role-specific challenge designed for you to showcase your strengths and allow us to assess your skills in a hands-on exercise, • A final interview, conducted either remotely or in-person if we haven't yet met face-to-face in previous rounds, • 🏡 Fully remote: runZero is a 100% remote company! While we aim to gather annually for kick-offs, our team thrives in the flexibility and freedom that remote work provides., • 🥕 Benefits: We prioritize the well-being of our team members, which is why runZero pays for 100% of the premium platinum-level medical, vision, dental, life, and short-term disability coverage for you and your dependents., • 🔐 401k: We match 4% of 401K contributions, • 🏝️ Time off: We offer unlimited PTO, 11 official company holidays, and a recharge week at the end of the year, • 🍼 Paid parental leave: We offer 12 weeks of paid parental leave, • 🎉 Culture of collaboration: Our team is diverse, representing various backgrounds and perspectives, which fosters an inclusive and vibrant environment. With flexible schedules and supportive coworkers who listen to one another, runZero promotes a culture of collaboration., • And more! For more information on what it's like to work at runZero, please visit our_ runZero positions are currently restricted to the United States and the United Kingdom. All other International applications will not be considered. runZero is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, disability, national origin, veteran status, marital status, ancestry, nationality or any other basis covered by applicable law. We encourage under-represented applicants to apply, even if you don’t think you fit 100% of the criteria (nobody ever does)!

Location: Remote (North America) Type: Full-time Company: Yotta Labs Apply: careers@yottalabs.ai 🧠 About Yotta Labs Yotta Labs is building next-generation AI infrastructure to power the world’s most demanding AI workloads. We provide high-performance GPU compute and Model API services, enabling AI companies, research labs, and enterprises to train and deploy cutting-edge models at scale. Our platform aggregates geo-distributed GPU resources—from commodity to high-end accelerators—and offers elastic, cost-effective access to AI compute. We also provide production-ready Model APIs for major large language models (LLMs) with customizable endpoints, making it easy for customers to integrate state-of-the-art AI capabilities into their products. 🛠️ Role Overview We are hiring a Sales Manager – GPU Compute & AI Model APIs to drive revenue growth and build our sales function from the ground up. You will own two core revenue lines: GPU compute sales (on-demand and reserved GPU capacity for AI training and inference) and Model API sales (managed API access to leading LLMs and custom models). This is a hands-on role—you’ll be directly engaging customers, closing deals, and growing accounts while helping shape our go-to-market strategy. As a core member of a lean startup team, you’ll combine frontline sales execution with strategic input on product and pricing. Ideal for someone who loves building and isn’t afraid to roll up their sleeves. 🎯 Responsibilities Own the full sales lifecycle for both GPU compute and Model API products—from prospecting and qualifying leads to closing deals and expanding long-term partnerships. Drive GPU compute revenue by identifying organizations with large-scale training, fine-tuning, and inference workloads, positioning Yotta Labs as their preferred infrastructure provider. Grow Model API adoption by engaging AI application developers, SaaS companies, and enterprises looking for reliable, scalable, and cost-effective API access to leading LLMs. Develop and execute outbound sales strategies targeting high-value accounts across AI startups, research labs, and enterprise customers scaling AI workloads. Work closely with marketing to create compelling sales collateral, case studies, and campaigns that highlight our GPU compute and Model API value propositions. Navigate complex technical and commercial conversations, collaborating with engineering and product teams to tailor solutions to customer requirements. Consistently meet or exceed revenue and ARR targets, contributing to the growth of a repeatable and scalable sales motion. Represent Yotta Labs at industry conferences, AI/ML meetups, and customer meetings to grow our presence in the AI infrastructure ecosystem. ✅ Qualifications 3+ years of experience in sales or business development in cloud infrastructure, GPU compute, AI/ML platforms, or a related technical domain. Strong understanding of the GPU cloud market, AI/ML workflows, model training/inference pipelines, and the compute requirements of modern AI applications. Proven track record of closing complex B2B deals and growing accounts in high-growth or technical markets. Familiarity with Model API/LLM-as-a-Service offerings and the ability to articulate technical differentiation to both developers and business stakeholders. Deep network in the AI and/or cloud infrastructure ecosystem with an ability to initiate and nurture executive-level relationships. Exceptional communication and negotiation skills; comfort working directly with technical and business stakeholders. Highly self-motivated, with strong execution skills and the ability to operate autonomously in a startup environment. 🌟 Preferred Experience Previous experience at a GPU cloud provider (e.g., CoreWeave, Lambda, Together AI), AI infrastructure startup, or cloud hyperscaler. Hands-on experience selling GPU compute capacity, reserved instances, or cloud AI/ML services. Experience selling API-based AI products or working with teams that build on LLM APIs (e.g., OpenAI, Anthropic, or similar). Experience working with AI research teams, MLOps engineering groups, or AI application developers. Familiarity with container orchestration (Kubernetes), AI developer tooling, and modern ML infrastructure stacks. Background in computer science, engineering, or a related technical discipline. 🌐 Why Join Yotta Labs? Be part of a visionary team aiming to redefine AI infrastructure. Work on cutting-edge technologies that bridge AI and decentralized computing. Collaborate with experts from leading institutions and tech companies. Enjoy a flexible, remote work environment that values innovation and autonomy. 📩 How to Apply Interested candidates should apply directly or send their resume and a brief cover letter to careers@yottalabs.ai. Please include links to any relevant projects or contributions.

Reality Defender is an award-winning cybersecurity company helping enterprises and governments detect deepfakes and AI-generated media. Utilizing a patented multi-model approach, Reality Defender is robust against the bleeding edge of generative platforms producing video, audio, imagery, and text media. Reality Defender's API-first deepfake detection platform empowers teams and developers alike to identify fraud, disinformation campaigns, and harmful deepfakes in real time. Backed by world class investors including DCVC, Illuminate Financial, Y Combinator, Booz Allen Hamilton, IBM, Accenture, Rackhouse, and Argon VC, Reality Defender works with leading enterprise clients, financial institutions, and governments in order to ensure AI-generated media is not used for malicious purposes. _ We are seeking a Senior Applied AI Engineer to build, tune, and deploy state-of-the-art audio deepfake detection models in real-world client environments. This is a highly cross-functional client-facing role requiring close collaboration with Research, Production Engineering, and Customer Success teams. You will be responsible not just for model development, but for ensuring robustness, reliability, and performance under diverse real-world test conditions — including adversarial and edge-case scenarios. This role requires deep hands-on expertise in model building, training, benchmarking, and productionization — along with the ability to translate complex model behavior into actionable insights for both technical and non-technical stakeholders. Design, build, and optimize ML/DL models for production-scale audio deepfake detection. Interface with clients to build a deep understanding of the production environment and scope out model performance criteria. Investigate failure cases in the client environment, build custom evaluation frameworks, and implement mitigation strategies that span across Engineering and AI. Drive model tuning and iteration for performance under a variety of real-world environments, e.g. compression artifacts, noise, telephony, and streaming pipelines. Design and execute structured experimentation roadmaps, centered around client requirements, anticipated future attack vectors, and proactive system resilience. Collaborate with cross-functional partners (Applied Scientists, Deployment Engineers, Product teams) to deploy robust and scalable models. Present technical findings and model performance insights to clients as well as internal stakeholders. Master’s or PhD in Computer Science, Machine Learning, Signal Processing, or related field (or equivalent industry experience). 2+ years of industry experience building and deploying ML/DL models for AI products. Strong programming skills in Python and model ML frameworks (PyTorch, JAX). Solid understanding of audio processing fundamentals, classification and detection metrics (ROC, DET curves, precision/recall trade-offs), model robustness and evaluation. Proven experience with large-scale training and benchmarking pipelines Prior experience in a client-facing or solutions-oriented AI role is a plus. Reality Defender offers the following benefits to all our employees, regardless of location: Healthcare plans with 100% premium coverage for employees and partial coverage available for dependents Dental and Vision plans with 100% premium coverage for employees and their dependents Short/Long-term disability and life insurance plans with 100% premium coverage for employees FSA/HSA and 401k programs Equity compensation 20 days of PTO per year 12 weeks of Parental Leave Learning and Development budget Monthly wellness benefits Annual company-sponsored offsite For employees working from Reality Defender’s HQ in NYC, we offer the following benefits: Daily in-office lunch through UberEats Commuter benefits Remote Fridays Happy Hours and other local events

We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Open to hiring remote across North America + Europe — we also have offices in NYC, San Francisco, and Seattle We are looking for someone who lives at the intersection of code and creativity – deeply technical, genuinely plugged into the generative AI space, and excited to build the developer community around some of the most advanced video and image models. This is a high-ownership, high-visibility role with real influence over how developers experience Runway. You will own the end-to-end developer experience – driving awareness, activation, and long-term engagement among the creative technologists and engineers building on top of our generative model APIs. Success in this role requires a blend of technical depth, creative sensibility, and a genuine enthusiasm for where generative AI is going. Own the Developer Funnel, End-to-End Own the full developer funnel from awareness to activation; drive adoption and engagement across our API user base with a structured, data-informed engagement strategy Design onboarding experiences that get creative developers from zero to their first successful API build as quickly as possible Manage the motion from self-serve to enterprise API relationships – identify high-potential developers through usage and spend signals and route them into the right engagement track Track, analyze, and report on developer funnel metrics and API engagement using BI tools and data Build & Energize the Creative Developer Community Own hackathons, sponsorships, and developer events end-to-end – from concept and logistics to execution and follow-through Build and nurture a community of creative technologists, researchers, and developers pushing the boundaries of generative video and image Represent Runway at conferences, meetups, and online communities; be a recognizable and trusted presence in the generative AI developer ecosystem Surface developer sentiment, emerging use cases, and market signals back to internal teams to inform product direction Produce Content That Gets Developers Building Produce high-quality tutorials, demos, sample repos, and technical walkthroughs that showcase what's possible with our models and API Own social and X content strategy for the developer audience – rapid demos, creative experiments, prompting tips, and technical threads Run regular developer communications including email newsletters, changelogs, and recurring developer office hours Prototype creative, targeted content that meets developers where they are Champion Developers Internally – and Runway Externally Serve as the primary point of contact for the developer community; be genuinely accessible, responsive, and useful Build a tight, structured feedback loop between developers and the Product and Engineering teams – surface trends, flag blockers, and advocate for developer needs Partner with Marketing and GTM to create developer-focused activation campaigns that resonate with a technical, creative audience Define and track success metrics tied to developer activation, API engagement, and community growth 5+ years in developer relations, developer advocacy, or a highly technical, community-facing role – ideally within AI/ML, creative tech, or a research-adjacent organization Deep, hands-on familiarity with generative video and image models; you've built with them, you experiment constantly, and you follow this space closely Comfort operating in a 0-to-1 environment – you've built programs, communities, or developer motions from scratch and know how to create structure and momentum without a playbook to follow Strong engineering fundamentals – you can write code, build demos independently, debug API integrations, and speak credibly with technical audiences A genuine creative sensibility – you understand the needs of designers, filmmakers, and creative technologists, not just traditional software engineers, and you move fluidly between those worlds Proven track record of driving developer community growth and API adoption with measurable outcomes Experience producing developer-facing content across formats: documentation, video demos, short-form social, and live technical presentations Experience running developer events end-to-end: hackathons, workshops, sponsorships, and office hours Deep enthusiasm for generative AI; you stay close to the technology, build with it, and have a strong point of view on where it's going Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. _ We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway _ _ _ _ _ _ _ We're excited to be recognized as a best place to work: | | |

Spotify’s mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by these creators. Everything we do is driven by our love for music, podcasting and audiobooks. Today, we are the world’s most popular audio streaming subscription service with a community of more than 678 million users. We are looking for an extraordinary Data Scientist to join the band and build core analytics to support our Music Partnerships teams, meaning the teams at Spotify who interface with artists, artist managers, songwriters, record labels and music publishers. • Perform analyses on large sets of data to extract actionable insights that will drive decisions, with a particular focus on artist and release performances, • Engineer novel data sets, features and reports that shed a new light on the dynamics of music listening, • Communicate data-driven insights and recommendations to non-technical audiences, through clear visualizations and data storytelling, • Craft high impact presentations for senior management on the Music Partnerships teams, • Evaluate Spotify’s value exchange with music partners and build compelling data visualization tools to move it forward, • Model statistical predictions to surface growing artists, genres and music trends, so as to inform resource allocation in and around Spotify’s Music organization, • You have a degree in a quantitative field, such as Computer Science/Engineering, Mathematics, Statistics, Economics; advanced degree is desirable, • 2+ years of relevant experience analyzing complex data with SQL, Python, and/or R, • You are passionate about music and popular culture in general. Previous experience in music is a preference. Other media, entertainment, or technology experience is also highly valued, • You are a natural communicator. You focus just as much on how you deliver your findings, as you do on the technical craft of uncovering new insights., • Experience building data visualizations and dashboards (e.g., Tableau or similar BI solution), • Modeling and statistical knowledge, such as forecasting, AB-testing, or feature engineering for machine learning is a plus, • A curiosity for, and investigative approach towards the ways in which AI reshapes data science and analysis is also valued., • Experience creating and scheduling datasets is highly valued. Knowledge of Google’s BigQuery, or DBT is a plus, • This role is based in New York, NY, • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times per week.The United States base range for this position is $89,093-$127,262, plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.

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.

Newfront (a WTW company) embraces a flexible work environment and supports employees working remotely, hybrid, or in-office. As a Senior AI Engineer at Newfront, you will work across both our AI platform and the AI products built on top of it. You will design and build the core AI platform — the agent runtime, RAG and document understanding pipelines, connector framework, model routing layer, evaluation and observability backbone, and on-premise model hosting — and you will use that same platform to ship AI products that brokers, underwriters, and operations rely on every day. You will partner closely with product engineering, brokering and operations leaders, and security and compliance partners to make sure both the platform and the products reflect how the business actually works. This position is a salary, exempt, and full-time position. This is a US-remote or hybrid role with the option to work from any of Newfront's office locations. #LI-Remote Build and scale the agent runtime at Newfront — tool use, planning, memory, multi-agent orchestration, human-in-the-loop handoff, and the SDKs product teams use to compose agents for brokering, underwriting, and client service workflows. Design and own RAG and document understanding pipelines for complex insurance artifacts — submissions, policies, endorsements, loss runs, SOVs — including ingestion, chunking, indexing, retrieval, structured extraction, and grounding. Build the connector framework that lets AI agents and pipelines reach into the systems brokers actually use (AMS, carrier portals, email, document stores, internal services), with first-class auth, rate-limiting, schema discovery, and auditability. Establish the evaluation and observability backbone for AI at Newfront: offline eval harnesses, regression suites, hallucination and grounding checks, online quality, latency, and cost telemetry, and the dashboards every team uses to measure AI features against compliance and performance targets. Own model routing and the model gateway — selecting between hosted frontier models and on-premise / self-hosted models per use case, balancing quality, latency, cost, and data-residency constraints. Stand up and operate on-premise model hosting where regulatory, contractual, or data-sensitivity requirements make hosted APIs unsuitable: GPU capacity planning, inference serving, quantization and optimization, isolation, and lifecycle management. Ship AI product features end-to-end on top of the platform — from problem discovery with brokering, underwriting, and operations partners through technical design, implementation, and the user-facing surfaces that make AI capabilities intuitive for non-technical users. Mentor engineers on production AI systems, review designs, and help establish best practices for building reliable AI in financial services. Partner with security, privacy, and compliance to bake controls — auth, audit, PII handling, retention, model risk management — into the platform rather than leaving them to each product team to rediscover. BS, MS or PhD in computer science, or related field, or equivalent work experience 5+ years of professional software engineering experience, with a strong general software development background — building, shipping, and operating production services, not just notebooks or prototypes. We are looking for an engineer first, who has gone deep on AI, rather than someone whose experience is exclusively in ML research. Solid fundamentals in API design, data modeling, testing, debugging production systems, code review, and collaborating in a team codebase. Strong programming skills in TypeScript, including experience with Node.js or another TypeScript backend framework in production. Experience with modern development and deployment practices (e.g., containerization, CI/CD, infrastructure-as-code, production observability). A track record of leading AI/ML projects end-to-end, including API design, production operations, and long-term maintenance. Experience designing systems for reliability, cost, and scale in production. Passion for staying up-to-date with the latest advancements in AI/ML and applying them to real-world problems. Strong problem-solving skills and the ability to take a pragmatic and efficient approach to tackling challenges. Excellent collaboration and communication skills, with the ability to partner with product teams and effectively communicate complex technical concepts to non-technical stakeholders. Working knowledge of Python and/or Go — we use Python for ML/AI tooling and Go in parts of our backend, and you will read and occasionally write both. Experience deploying or leveraging machine learning models and Large Language Models (LLMs) to power business applications at scale. Hands-on experience building agent frameworks, tool-use runtimes, RAG systems, connector / integration frameworks, or evaluation harnesses for LLM-based applications. Experience self-hosting or fine-tuning open-weight LLMs (e.g., GPU inference serving with vLLM/TGI/TensorRT-LLM, quantization, LoRA/PEFT, on-prem deployment). Experience building model gateways or routing layers that span multiple model providers and self-hosted models. Knowledge of state-of-the-art LLM techniques, models, and vendors, including trade-offs across providers. Familiarity with LLM and related frameworks, including extracting structured data from unstructured text. Experience with popular AI/ML libraries and frameworks. Familiarity with DevOps practices, cloud infrastructure, authorization, authentication, and search infrastructure. Experience with model risk management, AI governance, or building AI systems in regulated industries (financial services, healthcare, insurance). Understanding of machine learning essentials and the ability to collaborate effectively with data scientists. The pay range for this position in California, Washington, Colorado and New York at commencement of employment is expected to be between $160,000 and $250,000/yr; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including a bonus, restricted stock units, and discretionary awards in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as vacation, sick time, and parental leave), dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment. If hired, the employee will be in an “at-will position” and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. At Newfront, we are committed to hiring diverse talent and supporting an inclusive workplace environment. If you are excited about a role at Newfront but feel you’re missing a few of the qualifications, we still encourage you to apply and tell us about yourself. You may just be the next Newfront team member that we are looking for! Newfront is proud to be an equal opportunity workplace. Diversity is in our DNA and we believe that creating an inclusive workplace elevates the value we are able to bring to our customers and employees alike. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, genetic information, disability, veteran status, or any other applicable status protected by state or local law. If you require reasonable accommodations throughout the application or interview process, please contact us at careers@newfront.com. For information regarding how Newfront collects and uses personal information, please review our .

Our mission is to detect cancer early, when it can be cured. We are working to change the trajectory of cancer mortality and bring stakeholders together to adopt innovative, safe, and effective technologies that can transform cancer care. We are a healthcare company, pioneering new technologies to advance early cancer detection. We have built a multi-disciplinary organization of scientists, engineers, and physicians and we are using the power of next-generation sequencing (NGS), population-scale clinical studies, and state-of-the-art computer science and data science to overcome one of medicine’s greatest challenges. GRAIL is headquartered in the bay area of California, with locations in Washington, D.C., North Carolina, and the United Kingdom. It is supported by leading global investors and pharmaceutical, technology, and healthcare companies. For more information, please visit _ Grail is seeking a Key Account Manager (KAM) to join our Strategic Growth Accounts Team, in the Provider Channel. The KAM will be responsible for driving growth of the Galleri business through strategic engagement with Digital Health Customers and Key Provider Accounts at regional and national levels. Reporting to the Key Account Associate Director, the KAM will develop and manage relationships with executive, clinical, and operational leaders across digital health platforms and provider networks to support the successful integration, launch, and expansion of Galleri within their go-to-market strategies. The KAM will serve as a primary point of accountability for commercial performance, adoption, and expansion within assigned accounts. This role requires close collaboration with cross-functional partners—including Customer Success, the Provider Sales team, Marketing, Medical, Legal, Product, and Operations—to deliver a tailored, scalable customer experience that aligns with each partner’s business model while advancing GRAIL’s growth objectives. You are approved to work remotely from your City and State. While your primary workplace is your home, you may be required to travel occasionally to a GRAIL office or other locations to perform your work or attend team-related events. • Revenue Creation: Growth Strategy, Expansion, and Commercial Terms, • Own strategic account planning, deal formation, and long-term growth across all stages of the partnership lifecycle, with accountability for sustained value realization., • Own and deliver revenue and growth targets across assigned Digital Health and key provider accounts., • Develop and execute account-specific growth plans, including stakeholder mapping, use-case identification, pipeline management, and expansion strategies., • Identify upsell, cross-sell, and expansion opportunities across complex provider and digital health ecosystems., • Lead contract renewals using a value-centric approach that reinforces long-term partnership commitments while driving volume growth. Awareness and Market Presence • Represent GRAIL at industry meetings, customer events, and conferences, as needed., • Sales Alignment, • Partner with Provider Sales leadership and field teams to align on account targeting, lead generation, and execution within shared geographies. Relationship Management • Build and maintain trusted relationships with executive, clinical, product, and commercial leaders within partner organizations., • Implementation and Launch, • Support the launch and integration of Galleri into customer go-to-market plans, including ordering workflows, member journeys, and platform offerings. Operational Excellence and Scale • Provide ongoing feedback on customer needs, market dynamics, and resourcing requirements to inform segment strategy and enable scalable growth., • Collaborate closely with Customer Success and cross-functional internal teams to ensure strong adoption, operational readiness, and performance tracking. Reporting and Business Reviews • Partner with the Customer Success Manager to lead strategic business reviews (monthly, quarterly, or annual, depending on the partner)., • Present insights, outcomes, and recommendations to senior external stakeholders., • Collaborate internally to ensure alignment on performance metrics, adoption trends, and improvement opportunities., • These responsibilities summarize the role’s primary responsibilities and are not an exhaustive list. They may change at the company’s discretion., • Bachelor’s degree with 8+ years of experience, or Master’s degree with 6+ years of experience, • 3+ years of experience in healthcare sales, strategic account management, or client partnerships., • Ability to travel up to 60% to GRAIL sites, company and industry-related events and to support customer accounts., • Demonstrated success in diagnostics, biopharma, digital health, or healthcare technology in a customer-facing commercial role., • Proven experience managing large, complex accounts and engaging senior leadership in strategic account management capacity., • Strong understanding of digital health business models, provider networks, or B2B2C healthcare partnerships., • Entrepreneurial mindset with the ability to operate effectively in ambiguous, fast-evolving environments., • Excellent written and verbal communication skills, with strong executive presence and stakeholder management capabilities., • Track record of collaborating cross-functionally to launch and scale new offerings., • Comfort owning and managing revenue goals and using data and operational insight to drive results.The expected, full-time, annual base pay scale for this position is $118K-$156K. Actual base pay will consider skills, experience, and location. This role may be eligible for other forms of compensation, including an annual bonus and/or incentives, subject to the terms of the applicable plans and Company discretion. This range reflects a good-faith estimate of the range that the Company reasonably expects to pay for the position upon hire; the actual compensation offered may vary depending on factors such as the candidate’s qualifications. Employees in this role are also eligible for GRAIL’s comprehensive and competitive benefits package, offered in accordance with our applicable plans and policies. This package currently includes flexible time-off or vacation; a 401(k) retirement plan with employer match; medical, dental, and vision coverage; and carefully selected mindfulness programs. GRAIL is an equal employment opportunity employer, and we are committed to building a workplace where every individual can thrive, contribute, and grow. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, age, disability, status as a protected veteran, , or any other class or characteristic protected by applicable federal, state, and local laws. Additionally, GRAIL will consider for employment qualified applicants with arrest and conviction records in a manner consistent with applicable law and provide reasonable accommodations to qualified individuals with disabilities. Please contact us at _ if you require an accommodation to apply for an open position. GRAIL maintains a drug-free workplace. We welcome job-seekers from all backgrounds to join us!

Why join Freenome? Freenome is a high-growth biotech company developing tests to detect cancer using a standard blood draw. To do this, Freenome uses a multiomics platform that combines tumor and non-tumor signals with machine learning to find cancer in its earliest, most-treatable stages. Cancer is relentless. This is why Freenome is building the clinical, economic, and operational evidence to drive cancer screening and save lives. Our first screening test is for colorectal cancer (CRC) and advanced adenomas, and it’s just the beginning. Founded in 2014, Freenome has ~400 employees and continues to grow to match the scope of our ambitions to provide access to better screening and earlier cancer detection. At Freenome, we aim to impact patients by empowering everyone to prevent, detect, and treat their disease. This, together with our high-performing culture of respect and cross-collaboration, is what motivates us to make every day count. Become a Freenomer Do you have what it takes to be a Freenomer? A “Freenomer” is a determined, mission-driven, results-oriented employee fueled by the opportunity to change the landscape of cancer and make a positive impact on patients’ lives. Freenomers bring their diverse experience, expertise, and personal perspective to solve problems and push to achieve what’s possible, one breakthrough at a time. About this opportunity: At Freenome, we are seeking a Staff Machine Learning Scientist to help grow the Machine Learning Science team, within the Computational Science department. The ideal candidate has a strong knowledge of artificial intelligence (AI), including machine learning (ML) fundamentals and extensive experience with deep learning (DL) methods, a track record of successfully using these methods to answer complex research questions, the ability to drive independent research and thrive in a highly cross-functional environment. They will be responsible for the development of algorithms for early, blood-based detection tests for cancer. They will build on a foundation of ML/DL and statistical skills to develop models for identifying molecular signals from blood. They will also work with computational biologists, molecular biologists and ML engineers to design and drive research experiments, and will have a significant impact on the continued growth of an organization dedicated to changing the entire landscape of cancer. The role reports to the Director, Machine Learning Science. This role can be a Hybrid role based in our Brisbane, California headquarters (2-3 days per week in office), or remote. What you’ll do: • Independently pursue cutting edge research in AI applied to biological problems (including cancer research, genomics, computational biology, immunology, etc.), • Build new models or fine-tune existing models to identify biological changes resulting from disease, • Build models that achieve high accuracy and that generalize robustly to new data, • Apply contemporary interpretability techniques to provide a deeper understanding of the underlying signal identified by the model, ideally suggesting potential biological mechanisms, • Work closely with ML Engineering partners to ensure that Freenome’s computational infrastructure supports optimal model training and iteration, • Take a mindful, transparent, and humane approach to your work Must haves: • PhD or equivalent research experience with an AI emphasis and in a relevant, quantitative field such as Computer Science, Statistics, Mathematics, Engineering, Computational Biology, or Bioinformatics, • 6+ years of postdoc or post-PhD industry experience achieving impactful results using relevant modeling techniques, • Expertise demonstrated by research publications or industry achievements, in driving independent research in applied machine learning, deep learning and complex data modeling, • Practical and theoretical understanding of fundamental ML models like generalized linear models, kernel machines, decision trees and forests, neural networks, boosting and model aggregation, • Practical and theoretical understanding of DL models like large language models or other foundation models, • Extensive experience with training paradigms like supervised learning, self-supervised learning, and contrastive learning, • Proficient in current state of the art in ML/DL approaches in different domains, with an ability to envision their applications in biological data, • Proficiency in a general-purpose programming language: Python, R, Java, C, C++, etc., • Proficiency in one or more ML frameworks such as; Pytorch, Tensorflow and Jax; and ML platforms like Hugging Face, • Experience in ML analysis and developer tools like TensorBoard, MLflow or Weights & Biases, • Excellent ability to communicate across disciplines, work collaboratively, and make progress in smaller steps via experimental iterations, • Proficient at productive cross-functional scientific communication and collaboration with software engineers and computational biologists, • A passion for innovation and demonstrated initiative in tackling new areas of research Nice to haves: • Deep domain-specific experience in computational biology, genomics, proteomics or a related field, • Experience in building DL models for genomic data, with knowledge of state-of-the-art DNA foundation models, • Experience in NGS data analysis and bioinformatic pipelines, • Experience with containerized cloud computing environments such as Docker in GCP, Azure, or AWS, • Experience in a production software engineering environment, including the use of automated regression testing, version control, and deployment systems Benefits and additional information: The US target range of our base salary for new hires is $199,675 - $302,400. You will also be eligible to receive pre-IPO equity, cash bonuses, and a full range of medical, financial, and other benefits depending on the position offered. Please note that individual total compensation for this position will be determined at the Company’s sole discretion and may vary based on several factors, including but not limited to, location, skill level, years and depth of relevant experience, and education. We invite you to check out our career page @ _ for additional company information. Freenome is proud to be an equal-opportunity employer, and we value diversity. Freenome does not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. Applicants have rights under Federal Employment Laws. • _, • _, • _ #LI-Remote

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment. IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments. Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology. This is a hybrid role (3 days in office / 2 days remote). About Your Team: Shape the Future of Market Integrity at Interactive Brokers. Interactive Brokers (IBKR) seeks a Quantitative Software Engineer to join our elite transaction surveillance team. You will leverage your quantitative skills and experience in financial markets to develop sophisticated detection systems that identify market manipulation, fraud, and money laundering attempts before they impact market integrity. Your work will directly influence how one of the world's largest electronic brokers protects the financial ecosystem. What will be your responsibilities within IBKR: • Architect next-generation surveillance models to detect emerging manipulation patterns across global markets, • Partner with compliance leadership to ensure surveillance systems meet and exceed regulatory expectations, • Translate your experience into algorithms that identify suspicious trading and cashiering activity with high accuracy, • Conduct sophisticated data analysis on massive financial datasets (hundreds of millions of daily orders, millions of daily trades), • Evaluate model performance to optimize detection accuracy while minimizing false positives, • Document methodologies to withstand regulatory scrutiny and examination. Which skills are required: Attention Candidates: If your experience is exclusively in bank risk departments building, VAR models or similar frameworks, please note this role involves fundamentally different expertise in surveillance technology and compliance systems. • Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, or related quantitative field, • Strong programming proficiency in Python, • Professional experience: 5+ years (3+ for Master's, 1+ for PhD) hands-on experience in market surveillance, • Domain expertise in at least one of:, • Large-scale financial data analysis (orders, trades, market data), • Market manipulation detection methodologies (spoofing/layering, insider trading, money laundering, fraud, etc.), • Regulatory-driven feature engineering, • Communication excellence in explaining complex surveillance concepts to diverse stakeholders. Good to haves: • Regulatory background at the SEC, FINRA, or major securities exchanges, • Advanced degree in a quantitative discipline, • Mastery of Python data science tools (pandas, scikit-learn, xgboost, catboost), • Deep understanding of market microstructure and trading strategies, • Specialized knowledge in AML and market manipulation typologies To be successful in this position, you will have the following: • Self-motivated and able to handle tasks with minimal supervision., • Superb analytical and problem-solving skills., • Excellent collaboration and communication (Verbal and written) skills., • Outstanding organizational and time management skills., • Competitive salary, annual performance-based bonus and stock grant, • Retirement plan 401(k) with competitive company match, • Excellent health and wellness benefits, including medical, dental, and vision benefits, and a company-paid medical healthcare premium., • Wellness screenings and assessments, health coaches and counseling services through an Employee Assistance Program (EAP), • Paid time off and a generous parental leave policy, • Daily company lunch allowance is provided, and a fully stocked kitchen with healthy options for breakfast and snack, • Corporate events, including team outings, dinners, volunteer activities and company sports teams, • Education reimbursement and learning opportunities, • Modern offices with multi-monitor setups

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 Staff Scientist – Quantum Financial Services. As a Senior Staff Scientist – Quantum Financial Services, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. Our ideal candidate would be a thought leader of transformative technologies, subject matter expert in quantitative finance, and expert developer of quantum algorithms that are poised to disrupt the finance industry. You will span wide and dig deep to identify, champion and deliver hybrid applications where IonQ trapped-ion quantum computers can unlock new value. As a role model for a team of PhD application scientists, you will lead by example to develop novel algorithms, core IP and end-to-end workflows that can be incorporated by finance organizations into their workflows. You will also work closely with product, marketing, sales, operations and external customers/partners to brainstorm new ideas, define multi-year roadmaps and represent IonQ at high-visibility conferences. Often in a single day. Responsibilities: • Grow IonQ’s impact and reach across the Financial Services sector by fostering relationships with clients and developing hybrid quantum applications that will deliver commercial impact., • Be an intrapreneur within the company to shape, champion and deliver on a multi-year Quantum Financial Services roadmap., • Lead by example the process of developing state-of-the-art hybrid quantum applications optimized for CPU, GPU and IonQ trapped-ion QPU., • Collaborate across compiler, system, cloud and partner teams to integrate quantum algorithms within larger hybrid software platforms and workflows., • Be a go-to technical leader and decision maker for a team of talented PhD scientists, • Grow the team capacity both through hiring and developing capabilities from within, • While this role is remote-friendly and highly flexible, candidates must be able to travel to global customer sites and attend virtual meetings during non-core hours. You’d be a good fit with: • PhD in Computer Science, Math, Physics, Electrical Engineering or similar level of professional experience in a relevant field, • 13+ years of professional experience or an equivalent combination of education and experience, • 7 years of industry experience developing novel algorithms/applications/software for the financial sector, with increasing impact and degrees of responsibility, • Technical or people leadership experience, including hiring and growing from within, • Track record of scaling up software from research-grade artifacts (Matlab, Julia, R, Jupyter Notebook) to beta-customer to full release. Experience integrating research-grade artifacts into pre-existing code bases, • Active portfolio of high-impact scientific papers in quantum computing, AI or ML with a focus on finance applications You’d be a great fit with: • 10+ years of industry experience developing novel algorithms/applications/software for the financial sector, with increasing impact and degrees of responsibility, • Hands-on experience developing and optimizing quantum algorithms using quantum SDKs such as Qiskit (preferred), CUDA-Q, Cirq, Q#, Penny Lane and Torch Quantum., • Success as an originator and team leader to design, develop and deliver solutions that deliver value to the finance industry, • Professional experience as a trader, quant, FP&A, management consultant, etc., • Professional experience developing quantum algorithms for finance; either on an in-house quantum team within a financial organization, or else working at a quantum vendor serving the financial sector Location: This position can work onsite or hybrid from one of our offices (College Park, MD, Bothell, WA) or fully remote in the US. Travel: Up to 10% with a priority to visit customers and partners Job ID: 1060 The approximate base salary range for this position is $162,920 - $213,304. 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, a quick 15-minute metro from 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, or Toronto. 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. The position you are applying for may 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 status for export controls and government contracts work and/or obtaining any necessary license/confirming the availability of a license exception under U.S. export controls. 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!

Lumenci is seeking a Senior Associate – Software to support high-impact patent litigation, IP strategy, and monetization engagements across advanced software technologies. This role is ideal for engineers with hands-on experience in software development, system architecture, distributed systems, embedded software, or AI/ML, who are eager to apply deep technical expertise in complex IP and legal environments. About Lumenci Founded in 2018, Lumenci is a premier intellectual property consulting firm specializing in patent litigation, expert witness testimony, and patent monetization for leading corporations and global law firms operating across the semiconductor, software, telecommunications, and emerging technology sectors. A key part of Lumenci’s model is the integration of deep technical expertise with litigation strategy. Our teams support high‑stakes disputes by developing technical narratives, performing rigorous analysis, and partnering with world‑class expert witnesses whose testimony shapes case outcomes in courts and arbitration forums worldwide. Headquartered in Austin, Texas, with offices in San Francisco, New York, and Gurugram, India, Lumenci delivers end‑to‑end support spanning technical analysis, expert strategy, valuation, and monetization execution. Our differentiated approach, which includes combining engineering depth, litigation experience, and operational rigor, has resulted in long‑term partnerships with leading law firms and technology companies navigating complex IP disputes. Lumenci is backed by VSS Capital Partners (“VSS”) and Century Equity Partners (“CEP”). VSS is a private equity firm dedicated to investing in tech‑enabled business services, healthcare and education companies. Since 1987, VSS has managed eight private capital funds with aggregate committed capital of nearly $4 billion across over 100 platform companies and hundreds of add‑on acquisitions. CEP is a private equity firm headquartered in Boston, MA, that partners with companies seeking investments to support growth or fund acquisitions, partial buyouts, or recapitalization opportunities. How We Work at Lumenci Solve for the Customer: Lumenci is a customer‑first company, focused on creating long‑term relationships with our clients. Customers include internal employees and candidates who are part of the recruitment process. Quality, Ownership, and Accountability: We are passionate about results and take full ownership of our work. We are performance‑oriented and driven by excellence. Collaboration: We encourage collaboration over competition, work in small teams, and believe that teams do better than individuals. Growth Mindset: We are adaptable to the changing requirements and needs of a dynamic high‑growth company and encourage each other to take diverse initiatives and develop new competencies. Role Type and Work Arrangement Employment Type: Full‑time, exempt Work Arrangement: Remote, US‑based Location: Candidates may be located anywhere in the United States, subject to being legally authorized to work in the United States without sponsorship. This role may require approximately 40% domestic travel for client meetings, expert meetings, lab and teardown visits, design/source code reviews, depositions/trials, and conferences. Responsibilities As a Senior Associate – Software, you will: • Contribute as an individual contributor on client projects involving software systems, platforms, applications, and distributed architectures., • Deliver patent analysis and IP monetization research related to software technologies, including technology due diligence, claim charting/infringement analysis, prior art searching, market research, and target scouting for software portfolios and products., • Analyze and reverse engineer implementations of software systems and architectures, such as:, • Backend systems, APIs, and distributed/cloud architectures, • Embedded and real-time software systems, • AI/ML models, data pipelines, and algorithmic implementations, • using industry-standard analysis techniques and tools (e.g., code analysis, static/dynamic analysis, debugging, instrumentation, log analysis, system tracing) as well as custom approaches., • Design and execute technical analysis plans and experiments to evaluate software architectures, system behavior, performance characteristics, and algorithmic implementations, and connect the resulting findings to patent claims, standards, and accused products., • Review datasheets, design documentation, system architecture diagrams, API specifications, developer documentation, and standards documents related to software systems, and map technical details to patent claims and commercial implementations., • Support Expert Witnesses and attorneys on IP litigation matters, including:, • Technical analysis for expert and consulting reports, • Review of source code, system architecture, design documentation, and logs, • Preparation for depositions, hearings, and trials, • Collaborate with project leads and senior consultants to prepare client deliverables and presentations that clearly explain complex software architectures, system designs, and algorithmic concepts to both technical and non-technical audiences., • Assist in maintaining relationships with existing and prospective clients by supporting technical discussions, demos, and workshops focused on software and IP opportunities., • Collaborate with Lumenci’s product teams to provide input on requirements, testing, and roadmap for technology platforms related to software analysis, technical content build, and IP analytics., • Contribute to thought leadership in software and IP, including blogs, whitepapers, research summaries, and internal training on software systems, architectures, and IP strategy., • Collaborate across the organization with in-person and distributed global teams; attend internal and external meetings, workshops, conferences, code reviews, depositions, and trials as needed. Minimum Requirements • Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a closely related field with a focus on software systems, architectures, or application development., • 2–4 years of hands-on experience working with software or software-adjacent systems in an R&D, development, systems, test, or consulting role (for example, software development, backend systems, distributed systems, embedded software, or application engineering), including implementing, analyzing, or optimizing software systems or architectures., • Strong understanding of core software fundamentals, such as data structures, algorithms, system design, operating systems, networking, and software architecture patterns., • Experience working with software development flows, tools, or reference implementations for one or more domains, such as:, • Backend / distributed systems (e.g., microservices, cloud platforms, APIs), • Embedded or systems software (e.g., real-time systems, firmware), • AI/ML systems or data platforms (e.g., model pipelines, data processing frameworks), • Demonstrated proficiency in one or more relevant programming/scripting languages (e.g., Python, Java, C/C++, JavaScript, or similar) for software development, data analysis, or automation., • Ability to clearly explain complex technical topics in writing and verbally to both technical and non-technical audiences, especially when translating software technical detail into IP and business implications., • Strong analytical skills, attention to detail, and ability to manage multiple tasks and deadlines in a fast-paced consulting environment., • Approximately 40% domestic travel (for client meetings, expert meetings, code reviews, depositions/trials, and conferences). Preferred Qualifications • Experience supporting IP litigation, licensing, standards-related work, or patent monetization related to software systems, platforms, or applications., • Familiarity with common software analysis and reverse-engineering workflows, such as static/dynamic code analysis, debugging, instrumentation, protocol analysis, and performance profiling., • Exposure to standardization activities, industry groups, or open-source ecosystems related to software technologies, platforms, or protocols., • Experience with software design, development, or system architectures (e.g., distributed systems design, API development, cloud-native architectures, CI/CD pipelines) and familiarity with how these features are represented in patent claims., • Experience in intellectual property services, such as patent drafting/prosecution support, technical support for licensing negotiations, or patent brokerage, particularly where software or software-adjacent technologies were involved. Why You Will Love Working for Lumenci Be Part of a Global Team: Joining Lumenci means joining a diverse and globally distributed team. You will collaborate with talented individuals from different backgrounds and cultures, bringing unique perspectives to every project. Growth and Development Opportunities: At Lumenci, we believe in recognizing and rewarding merit. We offer opportunities for merit‑based promotions, allowing you to advance your career based on your performance, contributions, and dedication. We are committed to supporting your professional growth and development, providing the resources and mentorship needed to excel in your role and take on new challenges. Benefits & Total Rewards Comprehensive Health & Well‑being: Robust medical, dental, and vision insurance options with significant company contributions toward employee premiums to support the health of our Luminaries and their families. Retirement Strategy: 401(k) program with a competitive employer‑matching contribution, enabling employees to build long‑term financial security. Performance‑Based Incentives: Total cash compensation includes a variable pay component designed to reward both individual achievements (KRAs) and overall company success. Time Off & Leaves: A balanced leave policy that includes accrued Paid Time Off (PTO), designated company holidays, and additional floating holidays for personal or cultural significance. Holistic Wellness Support: Dedicated Wellness Leave to address both physical health and emotional well‑being, as well as paid leave for significant life events like bereavement and parental bonding. Culture of Autonomy & Growth: A flexible, remote‑first work environment that favors autonomy and provides structured support for ongoing professional development and career advancement. Compensation & Pay Transparency The expected total annual compensation range for this role is $80,000–$120,000 USD, which may include base compensation and other eligible incentive components. Actual compensation will depend on skills, experience, and work location. For candidates in jurisdictions that require pay range disclosures, Lumenci will provide a good‑faith compensation range for the candidate’s location as part of the job posting or during the interview process, consistent with applicable law. Salary History: In compliance with applicable laws, Lumenci does not request, require, or rely on an applicant’s prior salary history when determining a starting salary or during any part of the hiring process. Equal Opportunity Employer: Lumenci is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Accommodations: If you require a reasonable accommodation to complete this application or participate in the interview process, please let your recruiter know. Employment Relationship: Nothing in this job description creates or is intended to create a contract of employment for any specific period of time. Employment with Lumenci, if offered, is on an at‑will basis and may be terminated by either the employee or Lumenci at any time, with or without cause and with or without notice, subject to applicable law. Work Authorization: Must be legally authorized to work in the United States without sponsorship.

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: Machine Learning and Artificial Intelligence are at the heart of the Airbnb product. From Trust to Payments, and from Customer Service to Marketing we rely on ML to ensure that guests and hosts have the best possible experience with Airbnb. The CS AI product team is responsible for driving CSxAI (Customer Support x Artificial Intelligence) initiatives by adopting the Generative AI technologies to enable an intelligent, scalable and exceptional service experience. The team develops and enhances various AI models, ML services and tools including LLM fine-tuning, alignment and optimization, RAG/Search, LLM evaluation and testing automation, feedback-based learning and guardrail for a wide range of applications in Airbnb. What you will do: As a principal machine learning engineer, you will be responsible for fine-tuning state-of-the-art LLMs for diverse use cases while optimizing models for high-performance deployment on Airbnb’s ML Infrastructure. You will partner with product managers, software engineers, data scientists and operation teams to brainstorm, design and develop AI products such as AI Assistant, Autonomous agent, recommendation, travel planning, and many more products that make meaningful impacts in the world of travel. Your responsibilities: • Work with large scale structured and unstructured data; explore, experiment, build and continuously improve foundation models for Airbnb product, business and operational use cases., • Create a multi-year tech roadmap that enables our team to stay on the leading edge of the rapidly evolving AI landscape and leverage the best in class technologies to deliver customer benefits., • Continuously evaluate recent and upcoming large foundational models, ensuring the selection and refinement of the highest quality models for enhanced performance and efficiency., • Hands-on prototype, develop and productionize LLM models and pipelines at scale, including both batch and real-time use cases., • Drive key AI architectural decisions for products, and contribute to Airbnb’s ML platform architecture and strategy., • PhD in Computer Science, Machine Learning, Mathematics, Statistics, or related technical field., • 10+ years of experience with developing machine learning models and products at scale from inception to business impact., • Programming experience in Python and hands-on experience with frameworks such as PyTorch., • Proven record of training, fine tuning, optimizing models and inference run-time, • Post-training experience in areas like data processing for fine-tuning; responsible LLMs; LLM alignment; reinforcement learning; efficient training and inference; language model evaluation; and/or multilingual and multimodal modeling., • Or specialized experience in runtime optimizations, model quantization, compression, on-device inference, GPU inference, pytorch, kernel development, • PhD in AI, machine learning, data science, or related technical fields. Publications at peer-reviewed AI conferences (e.g., NeurIPS, CVPR, ICML, ICLR, ICCV, and ACL). • Customer Support Systems: Experience with AI technologies in customer support applications., • Agile Practice for AI production: Experience with the entire AI product development lifecycle from incubation to production at scale, following agile practices in the Applied AI/ML domain., • Infrastructure Acumen: Experience deploying and scaling business-critical AI services and driving architectural requirements on ML infrastructures Your Location: This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager. While the position is Remote Eligible, you must live in a state where Airbnb, Inc. has a registered entity. _ . If your position is employed by another Airbnb entity, your recruiter will inform you what states you are eligible to work from. Our Commitment To Inclusion & Belonging: Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply. We strive to also provide a disability inclusive application and interview process. If you are a candidate with a disability and require reasonable accommodation in order to submit an application, please contact us at: _. Please include your full name, the role you’re applying for and the accommodation necessary to assist you with the recruiting process. We ask that you only reach out to us if you are a candidate whose disability prevents you from being able to complete our online application.

Gray Swan protects organizations from emerging AI security threats. We build real-time threat detection, automated validation, and adaptive defenses for AI labs and enterprises. We’re a team of ~25 people, well-funded, and growing fast. We have strong traction and globally recognized customers, which means employees here take on real responsibility and meaningful equity from day one. This is a high-ownership environment where you’ll work on hard problems, move quickly, and help shape both the product and the company. Many people join Gray Swan because our mission matters. We’re doing practical, high-impact work in AI safety, that sense of purpose is a core reason why engineers and researchers choose us. _. As a Forward-Deployed Machine Learning Engineer at Gray Swan AI, you’ll design, build, and deploy AI safety and security solutions directly inside customer environments. You’ll apply state-of-the-art deep learning methods to turn ambiguous, high-stakes problems into production-grade models and systems, rapidly prototyping, iterating, and hardening solutions for real-world use. If you are an engineer who doesn’t want to stick to just the same workflows, tasks, and stakeholders all the time, this role is probably perfect for you. This role blends applied research, software engineering, and customer delivery, with close collaboration across customers, sales, product, and engineering. You’ll own outcomes end-to-end and operate effectively in fast-moving, customer-facing settings. Applied AI/ML: Implement data pipelines, model serving, and evaluation frameworks. Adapt and fine-tune models to domain-specific data and performance requirements. Customer-facing delivery: Work with customer teams to understand data constraints, and operational realities. Translate real-world problems into well-scoped proofs-of-concept and deployment architectures. Act as the primary AI/ML technical owner for customer projects, rapidly identifying, scoping, and solving technical issues. Rapid Prototyping & Iteration Develop proofs of concept quickly to validate technical feasibility and customer value. Iterate based on user feedback, empirical results, and changing requirements. Balance speed with long-term maintainability. Cross-Functional Collaboration Partner with sales, product, research, and platform teams. Communicate findings, tradeoffs, and recommendations. Contribute learnings from deployments back into core product and platform development. Hands-on experience in collaborative environments, working closely with cross-functional teams like data scientists, software engineers, and product managers. Demonstrated ability to work independently in ambiguous environments and take full ownership of outcomes. Hands-on experience in building and deploying machine learning models and systems. Demonstrated expertise in designing, training, and deploying deep learning models with frameworks like PyTorch. Demonstrated experience programming in Python and C++. Practical experience in developing scalable machine learning pipelines and integrating them with cloud infrastructure (e.g., AWS, GCP, Azure). In-depth knowledge of neural network architectures, such as sequence models, transformers, and other state-of-the-art approaches. Strong algorithmic problem-solving skills and comprehensive knowledge of ML theory and optimization techniques. Proficiency in data preprocessing and transformation, and handling large-scale datasets with multiple modalities. Bachelor’s degree in Computer Science, Machine Learning, Engineering, or a related technical field is required. A Master’s degree in a relevant technical field, especially with a focus on machine learning and AI safety. Experience with AI safety practices, such as model validation, robustness testing, and continuous monitoring for safety and security incidents throughout deployment. Familiarity with AI safety and security assessments and adversarial testing. Strong collaboration and problem-solving abilities, with an emphasis on driving impactful solutions. Experience working with customers, partners, or other external stakeholders to deploy and ensure the success of software products, ideally in a technical pre-sales, technical support, forward-deployed engineering, or similar role. If you don’t have 100% of these, you should still seriously consider applying. We care more about what you can do than your credentials. Are looking for a role where you have a huge opportunity to work hard, prove yourself, and build your skillset by trying new things and learning on the job. Approach your work proactively and enjoy problem solving Can learn fast and are naturally curious Are passionate about our mission– to empower the world to use AI safely and securely A competitive compensation package designed to reward impact and incentivize growth. Our compensation philosophy is informed by our current valuation and recent industry data. Salary: $115,439 - $178,100 + a competitive equity package in a startup with real revenue and globally recognized customers 401k with up to 4% matching 28 days annual leave (vacation + holidays) Health, dental, and vision coverage Catered lunches (Pittsburgh office) Flexible work arrangements Visa sponsorship available for exceptional candidates

The Personalization (PZN) team makes deciding what to play next on Spotify easier and more enjoyable for every listener. We seek to understand the world of music, podcasts, and audiobooks better than anyone else so that we can make great recommendations to every individual and keep the world listening. Every day, hundreds of millions of people all over the world use the products we build—from flagship playlists like Discover Weekly and Daily Mix to entry points like Home and Search. The Next Generation Sessions (NextGen) product area within PZN is reimagining listening beyond the playlist. We invent cutting-edge personalized sessions like AI DJ, AI Playlist, Blend, Jam, and vertical feeds for discovering music and podcasts. Our team of ~100 engineers, scientists, product managers, and domain experts in music, podcasts, and voice collaborate across New York, Boston, London, Stockholm, and remote locations from Eastern US through Central European time zones. As an Associate MLE / AI Engineer in NextGen, you’ll be part of a cross-functional team inventing new AI-powered listening experiences. You’ll explore emerging AI capabilities, prototype end-to-end products, and help bring new features from concept to launch to millions of users. This is a fast-paced, high-growth role ideal for someone early in their career who is eager to learn by building, collaborate closely with senior engineers and researchers, and stay at the forefront of AI applied to music and talk content. If you're passionate about the intersection of AI and music and podcasts, obsessed with exploring new AI capabilities, and excited to shape the future of audio, bring your ideas—we’ll invent the next generation of audio together. • Rapidly prototype, iterate, and ship AI-powered music and podcast recommendation experiences using the latest capabilities of LLMs, agent frameworks, and Spotify’s recommender systems, • Continuously explore and evaluate new models, tools, libraries, and product trends—bringing fresh ideas into the team from the frontiers of AI and open-source innovation, • Promote and model best practices in AI engineering—including the use of LLMs and agents to power products, advanced evaluation strategies, and AI-assisted coding tools, • Leverage AI coding assistants to rapidly prototype full-stack MVPs, • Collaborate with cross-functional partners—including design, user research, product, data science, tech research, and engineering—to bring new ideas from concept to launch, • Develop a keen eye for software quality, learning to critically evaluate AI-generated code to ensure it meets Spotify's high standards for correctness, performance, and engineering best practices, • Grow your skills with access to Spotify’s comprehensive career development resources and encouragement to develop across disciplines, • Build a strong foundation and culture in AI engineering by leveraging the state of the art, learning from mentors, pairing with Staff engineers, and shipping code that reaches hundreds of millions of users, • You’re a full-stack AI prototyper: building your own projects with modern AI tools, experimenting fast, and iterating based on feedback, • You’re fully plugged into the AI ecosystem—active in online communities, exploring open-source repos, reading papers, trying every new tool you can get your hands on, • You think end-to-end, across the stack—from designing user interactions, to wiring up backends, to building models, to deployment considerations—because you want to see ideas come to life, • You have a working knowledge of machine learning fundamentals and hands-on experience with Python, Java, or Scala and modern ML frameworks like PyTorch or TensorFlow, • You have familiarity fine-tuning and evaluating LLMsYou have familiarity building workflows that integrate LLMs and data into autonomous, multi-step workflows, • You have experience crafting prompts to get the results you’re after. You know how to write, improve, and test your prompts to extract value out of LLMs, • You understand the importance of critically reviewing AI-generated code for correctness, quality, and alignment with best practices, • You may have studied AI formally—or you may have taught yourself through hands-on building and deep curiosity, • You thrive in collaborative, interdisciplinary environments and are eager to learn from more experienced engineers, • You’re good at communicating technical topics to less technical peopleYou bring contagious enthusiasm, a creative mindset, and a strong drive to shape the future of AI-powered products, • This role is based in New York., • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times per week.The United States base range for this position is $93,144- $133,063 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

At Path Robotics, we’re building the future of embodied intelligence. Our AI-driven systems enable robots to adapt, learn, and perform in the real world closing the skilled labor gap and transforming industries. We go beyond traditional methods, combining perception, reasoning, and control to deliver field-ready AI that is risk-aware, reliable, and continuously improving through real-world use. Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people make the impossible possible together. We're seeking passionate ML Engineers to join our team at the intersection of welding science and artificial intelligence. We currently have experienced (L3/L4), senior (L5) and staff (L6) level openings within and you'll be instrumental in developing robotic welding solutions. You'll use your skills in computer vision, deep learning, and Python programming to tackle challenges in our field alongside our talented teams. Experienced: • Implement, validate, and iterate on machine learning algorithms for weld perception tasks, including point cloud registration, seam detection, and joint geometry estimation, progressively expanding coverage across joint types and part geometries., • Build and maintain data pipelines for training and evaluating perception models, spanning annotated 3D scan data ingestion, synthetic data generation, and structured dataset management for iterative model improvement., • Run rigorous model evaluation experiments, including failure mode analysis, FP/FN rate characterization, and benchmarking against quantitative registration accuracy thresholds, and communicate findings clearly to guide next steps., • Integrate trained models into production ROS-based robotics services, ensuring low-latency inference and compatibility with deployed cell configurations., • Write clean, well-tested Python code; participate actively in code and experiment reviews; and maintain clear documentation of methods, parameters, and results. Senior/Staff: • Lead research, development, and production deployment of advanced perception algorithms spanning point cloud registration, seam detection, and real-time in-process tracking across structured light, RGB, and stereo sensors., • Design and lead experiments evaluating state-of-the-art deep learning models, including transformer-based and geometric feature learning architectures, • Design and lead real-time perception systems such as during-weld seam tracking, applying sensor fusion with probabilistic state estimation (e.g., Kalman filtering) to achieve robust weld performance., • Define and own the end-to-end ML lifecycle, from dataset design and annotation strategy through training, benchmarking, and fleet deployment, with clear go/no-go evaluation frameworks., • Architect distributed training and hyperparameter optimization workflows; drive strategy for data acquisition, annotation tooling, and synthetic vs. real scan data usage., • Mentor engineers across levels, providing technical leadership on perception systems and ML methodology. Who You Are • Master's or Ph.D. in CS, Robotics, or related field (Computer Vision, ML, or Perception); Bachelor's with strong production ML experience also considered., • 3+ years (Experienced) / 7+ years (Senior/Staff) in real-world robotics or industrial ML., • Strong Python fluency and hands-on PyTorch experience, including training, evaluating, and deploying deep learning models in production., • Experience with 3D point cloud data and libraries such as Open3D, including geometric concepts like surface segmentation, spatial queries, and point-wise labeling., • Familiarity with 3D deep learning architectures such as PointNet++, GeoTransformer, or similar transformer-based or graph-based approaches on geometric data., • Comfortable integrating ML models into production robotics services within ROS-based architectures and containerized deployment environments., • Senior/Staff: Demonstrated track record leading end-to-end ML projects from dataset design through fleet deployment with rigorous go/no-go frameworks; experience architecting distributed training and hyperparameter optimization workflows Why You’ll Love Working Here • Daily free lunch to keep you fueled and connected with the team, • Flexible PTO so you can take the time you need, when you need it, • Comprehensive medical, dental, and vision coverage, • 6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total), • 401(k) retirement plan through Empower, • Generous employee referral bonuses—help us grow our team! Who We Are At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Who are we? Polyconcept North America (PCNA) is the industry’s biggest and most diverse offering of promotional products and decoration services. At PCNA, we don’t just create products — we inspire brand experiences. Join our team and be part of a company where you can make a mark, build something meaningful, and grow in your career while helping brands leave lasting impressions. What we offer you • Full healthcare and benefits! The health and wellness of our employees is important to us, that’s why we offer benefits including medical, vision, dental, short-term disability, and more!, • Flexible scheduling, • 401k Matching, • Generous Paid Time Off and Holidays, • PCNA Cares Share Fund – donating to teammates in times of need Why you will make it your career • We invest heavily in modernization, operating more efficiently with cutting edge digital technology, • We value our employee’s contributions in a collaborative and inclusive work environment, • Our culture encourages listening, understanding and a sense of empathy makes PCNA stronger, • As the industry leader for environmental responsibility, sustainability is the key to every decision we make Our Values Delight Customers: Treat our customers the way you’d like to be treated. Work Smart: Time is valuable. Focus on the things that can have the biggest impact on our business and customers. Be inquisitive and innovative Think Team: Work together to get the job done. Be inclusive and collaborative. Own It: Be accountable. Embrace challenges as opportunities, roll up your sleeves and make it happen. Say It Like It Is: Be candid, honest and respectful. Offer constructive insights and welcome other’s input. Our Businesses Leed’s is the premier supplier of high-quality promotional products, with goods ranging from pens and drinkware to bags and mobile tech. Bullet is a leading supplier of low-price promotional products,​ offerin​g deep inventory, reliable service and 24-hour turnaround. Trimark, a member of PCNA, is a leading developer and manufacturer of logo'd apparel for the Canadian and U.S. promotional industries. Trimark sells logo'd apparel across 6 different categories: Polos, T-Shirts and Tops, Woven Shirts, Knits and Fleece, Jackets, and Accessories, including Headwear. At JournalBooks, we believe in creative minds working together to create something truly unique in journals and planners. ETS has always sought to provide the very best in service, product selection, printing capabilities and competitive pricing, focused on drinkware, ETS offers a broad range of high-quality drinkware categories. Spoke’s print-on-demand solutions and premium product assortment are standing by to help expand your inventory and fulfill your event and gifting needs! The Position The Marketing Automation Manager will act as a strategic and technical subject matter expert across the marketing automation landscape, with a focus on Salesforce Marketing Cloud, Sales Cloud, and other enterprise-level platforms utilized for segmentation and automation such as Airtable and Zapier. This individual will collaborate with internal stakeholders (Marketing, IT, Data/Analytics, UX, Creative, and Development teams) as well as external partners and vendors. This role requires the ability to translate marketing strategies into scalable, automated campaign journeys and trigger-based communications that deliver measurable value across the customer lifecycle. A strong grasp of Salesforce Marketing Cloud’s features, including SQL, AMPscript, HTML, and SSJS, are critical to success. Key Responsibilities • Optimize tools and technologies within the MarTech stack, especially Salesforce Marketing Cloud, Service Cloud and Sales Cloud., • Build and deploy sophisticated, multi-step automated campaigns across email, SMS, and web channels using Journey Builder, Automation Studio, and custom scripting., • Create and maintain dynamic emails and personalized experiences using AMPscript, SSJS, and HTML/CSS., • Use SQL to manage queries, build audiences, segment customer data, and enable advanced targeting strategies within Marketing Cloud., • Partner with Brand Marketing, Digital Experience, and CRM teams to design and execute full-funnel customer journeys., • Ensure data-driven marketing execution by integrating analytics, testing, and segmentation strategies into every campaign., • Develop robust QA and testing protocols for campaigns, automations, and dynamic content blocks., • Partner with Analytics and Data teams to access reporting systems and customer data sources; ensure accuracy and compliance with all customer-facing communications., • Collaborate with IT and data engineers on platform integrations, API connections, and data automation processes., • Develop and deploy robust reporting and dashboards within Salesforce and Marketing Cloud to inform decision making and strategy., • Monitor, analyze, and optimize campaign performance across channels; recommend and deploy ongoing improvements., • Utilize Zapier and Airtable for project management and workflow automations, • Create strong internal documentation and contribute to the development of process standards., • Provide training and support to internal users and ensure adoption of marketing automation best practices., • Support the implementation, governance, and management of Contact and Lead record accuracy, deduplication, and lifecycle updates across Salesforce Sales Cloud, Marketing Cloud, and Znode., • Monitor, troubleshoot, and enhance cross-platform data syncing mechanisms, ensuring real-time alignment between CRM, ecommerce, and marketing automation systems., • Maintain and govern data schemas, field mappings, and business logic for Contact and Lead objects, including opt-ins, preferences, and source attribution., • Partner with CRM and ecommerce stakeholders to continuously improve Lead-to-Contact conversion workflows, source tracking, and attribution logic., • Serve as the subject matter expert for both Salesforce CRM and Marketing Cloud, applying platform expertise to administrative tasks (e.g., data model config, permissions, Contact Builder setup) and executional tasks (e.g., campaign building, audience queries, triggered sends). Skills and Knowledge • Deep expertise in Salesforce Marketing Cloud (including Journey Builder, Automation Studio, Email Studio, and Contact Builder)., • Deep expertise in Salesforce Sales Cloud, with proven experience managing Contact and Lead objects, synchronizations, and lifecycle logic., • Strong working knowledge of SQL for audience segmentation and query automation., • Proven success building lead scoring models, lifecycle programs, and nurture tracks., • Skilled in campaign performance analysis, A/B testing, and optimization techniques., • Excellent organizational, communication, and documentation skills., • Able to manage multiple priorities in a fast-paced, agile environment., • Experience collaborating with cross-functional teams, including IT, UX, Analytics, and Creative., • Familiarity with email and SMS compliance and best practices (e.g. CAN-SPAM, TCPA, CASL), • Demonstrated ability to administer and optimize cross-platform integrations between CRM, marketing automation, and ecommerce platforms (e.g., Znode)., • Strong understanding of Contact Builder, data extensions, attribute groups, and audience architecture in Marketing Cloud., • Hands-on experience configuring Lead assignment rules, conversion logic, and field-level syncs in Salesforce CRM., • Experience and Working knowledge of Service Cloud, Sales Engagement & Cadences, and Data Cloud is a plus., • Proficient in AMPscript, HTML/CSS, and SSJS to enable personalization and scripting in campaigns. Minimum Qualifications • Bachelor's degree in Marketing, Communications, Computer Science, or related, • 3+ years of experience with Salesforce Marketing Cloud and Salesforce Sales Cloud, • 3+ years of hands-on experience in a high-volume marketing automation role, • Experience with customer data platforms (CDPs), CRM integrations, and web analytics is a plus, • Certifications in Salesforce Marketing Cloud are preferred but not required, • Certifications in Salesforce Sales/Service Cloud are preferred but not required Residency Requirements: Must be located in one of the following states: Colorado, Florida, Georgia, Kentucky, Massachusetts, Michigan, North Carolina, Ohio, Oklahoma, Pennsylvania, South Carolina, Texas, or Utah. Together We Inspire Pride We want our team members to be proud of the essential work they do, our commitment to the sustainability, and the overall customer experience. We are a culture that will invest heavily in our people, our company and in state-of-the-art technology to be at the forefront of innovation. PCNA is an equal opportunity employer. PCNA provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics, or any characteristic applicable under state, federal and local laws. Fraud Disclaimer: PCNA is aware of recruitment scams in which individuals are falsely claiming to represent our company and/or our employees. All legitimate communication from PCNA will come from our Applicant Tracking System, LinkedIn Recruiter, or a verified PCNA email address ending in @pcna(.)com. We do NOT conduct interviews via instant messaging platforms like Skype or request sensitive personal information early in the hiring process. If you receive a message that seems suspicious, we recommend verifying its legitimacy and immediately reporting any fraudulent activity.

The Role: Minted seeks a Software Engineering Manager to lead the Shopping Portfolio’s Marketing Enablement team engineers, building consumer-facing e-commerce experiences. This role involves collaborating on building a next-generation platform and ensuring on-time product delivery. You will be responsible for the technology strategy and team management, working cross-functionally with other engineering teams, collaborators, and stakeholders to effectively ideate and deliver on the long-term vision of the systems that make it possible for our end-users to find the products they’re looking to buy. The ideal candidate will strategize with stakeholders and Product Managers, manage an Agile team, and rapidly develop revenue-generating features. • Facilitate teams building and integrating complex software systems (UIs and Services) from idea inception through planning to experimentation and performance at scale, • Work closely with Product Management, UX, and Engineering peers & leaders to implement and refine a complex backlog of projects & initiatives, • Coordinate the efforts of your engineers to deliver features and improvements in a predictable, iterative, and repeatable way, • Provide hands-on input for architecture and technology strategies that can be carried out by internal and external team members, • Champion AI-assisted development practices across both frontend and backend teams, identifying and driving adoption of tools (e.g., Cursor, Claude Code) and best practices that demonstrably improve team velocity and code quality, • Create an engineering culture of ownership, accountability, testing, and measurement, • Be a talent builder to attract, mentor, and retain the best-in-class engineers, • Lead engineers in their day-to-day tasks, system designs, and career growth, • Obsessive about productivity and feature delivery, • Up to speed on highly scalable, event-driven, distributed systems, • Opinionated about team organization, development processes, and focused on feature delivery, • Comfortable working in domains with novel and challenging problems to solve, • Deeply metrics-driven, with strong fluency in data analysis, behavioral analytics, and experimentation — able to define success criteria, interpret signals from user behavior, and guide teams to ship, measure, and iterate with rigor, • Able to present complex technical information in a clear and concise manner, • Collaborative and candid with non-engineering stakeholders, including PM and UX, • Hands-on with AI development tools and thoughtful about where they accelerate teams versus where they introduce risk, • 5+ years professional experience as a software developer, with meaningful hands-on work in React/TypeScript on the frontend and Python on the backend, • 2+ years as a Software Engineering Manager leading full-stack teams spanning both frontend (preferably ReactJS/TypeScript) and backend (preferably Python) engineers, • 3+ years building consumer-facing e-commerce platforms, • Technical design skills with an emphasis on distributed and/or cloud-based scaling, • In-depth understanding of computer science principles, including data structures, programming languages, operating systems, software engineering, databases, hardware, observability tools, and networking, • Demonstrated experience evaluating and adopting AI coding tools, either through personal hands-on use or by driving org-wide adoption, • Familiarity with prompt engineering fundamentals and an understanding of where AI assistance is most effective in the SDLC, • Experience with streaming architectures, • Experience with Content Management Systems, such as Drupal, AEM & Contentful, • Experience with Marketing Technologies and platforms, • Experience integrating AI-powered features into consumer products (e.g. search personalization, recommendations, generative content) Compensation: The compensation range for the role applies to employment offers from Minted. Our employment offers fall between the minimum and midpoint of the range to allow for continued salary growth during your employment at Minted. The upper half of the range accommodates this growth and supports our intention to create an environment that encourages lasting relationships between Minted and our employees. Minted utilizes a market-based compensation model with four geographic tiers. Final compensation is determined based on the candidate’s primary work location, defined as their residence within 60 miles of a metropolitan area: Geo 0: San Francisco, CA In-Office - $206,030 - $270,415 Geo 1: New York, NY; Los Angeles, CA & all other California markets - $189,548 - $248,782 Geo 2: Boston, MA; Washington, DC; Chicago, IL; Seattle, WA; Austin, TX; Atlanta, GA; Portland, OR - $175,126 - $229,853 Geo 3: All other U.S. metro locations - $160,704 - $210,924 Salaries will vary based on various factors, including but not limited to professional and academic experience, associated job responsibilities, and/or other business or organizational needs. This role is eligible for a bonus and stock options. Benefits: Benefits will be effective on the first of each month following your initial hire date. • Medical, Dental, and Vision Benefits, • Employer Funded Health Savings Account, • 10 Paid Holidays, • Paid Time Off and Sick Leave, • Paid Parental Leave, • Monthly Gym/Wellness Reimbursement, • 401(k) retirement savings plan, • Employer Funded Commuter Benefits, • Employee Discount, • Friends and Family Discount DISCLAIMER: We verify identity at the start of interviews to ensure fairness and security. We reserve the right to withdraw candidates who misrepresent their identity, experience, or qualifications at any stage of the process. Notice of AI Use in Employment Decisions: We use AI-powered tools, including Brainner AI, to support our hiring and employment processes. These tools help assess job-related qualifications and improve efficiency, but all decisions involve human review. About Minted: Artists shape culture. They spark conversation, create connection, and bring beauty into the world. Minted is where they come together to reach further. Our marketplace empowers a thriving community of independent artists to sell and scale their work. We nurture self-expression, cultivate community, and bring the best in visual art to a global audience. We’re building a new way to discover the world’s best creative talent. We’re here for the emerging talent ready to take off, the local favorites ready to grow, and the established artists ready to dream bigger. At Minted, our people don’t just believe in the power of art–we live it. We have our finger on the pulse of what’s new and now. We’re obsessed with great design, art, and interiors. We’re in galleries, at fairs, and constantly finding inspiration online. We seek undiscovered talent that deserves to stand up and stand out. We connect with artists that have something to say, and we collaborate to amplify their work. The Minted community’s art, stationery, and textiles products have reached over 75 million homes worldwide. Our marketplace brings the best in independent design to consumers everywhere. We recognize the challenges independent artists face, and we leverage our resources to level the playing field and create a platform that gives artists the freedom to develop their craft and grow their business. We are headquartered in San Francisco, CA and currently employ 350+ full-time employees, plus additional temporary workers during the holiday season. We have raised over $300M from top-tier investors including Benchmark Capital, T. Rowe Price, Permira, Ridge Ventures, Technology Crossover Ventures, and Norwest Venture Partners. Angel investors include Marissa Mayer, Jeremy Stoppelman, Julia & Kevin Hartz, Yishan Wong, and more. Minted is an Equal Opportunity Employer committed to inclusion and diversity. We welcome people of different backgrounds, experiences, abilities and perspectives and will consider all qualified applicants for employment in accordance with all state, local, and federal laws. Minted participates in the E-verify program. How Our Process Works: Minted uses technology and innovative practices to bring unique, best-selling design to market at scale. Using its crowdsourcing technology, consumers are empowered to vote for the designs they love and want to see sold, ensuring that Minted always sells continuously fresh and trend-forward product. The winning designs are manufactured by Minted, enabling artists from around the world to share and sell their work while letting Minted do the rest. Since launch in 2007, the company has expanded to serve consumers in new categories including wall art, textiles, digital content and home decor, as well as serve major retailers and consumer products brands with data-backed design through licensing and wholesale partnerships.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. Prompted Playlists (P2P) let listeners describe exactly what they want to hear and set the rules for their personalized playlist experience. This feature taps into a listener’s entire Spotify history—stretching back to day one—to reflect not just what they love now, but the full arc of their taste. The team blends personalization, world knowledge, and adaptive curation to deliver playlists that stay fresh, relevant, and delightful. P2P is looking for an experienced ML engineer to join the team! • Design, build, evaluate, and ship LLM based solutions that will enable our users to have more adaptive control of their content, • Collaborate with cross functional teams spanning user research, design, data science, product management, and engineering to build new product features that advance our mission to connect artists and fans in personalized and useful ways, • Prototype new approaches and productionize solutions at scale for our hundreds of millions of active users, • Promote and role-model best practices of ML systems development, testing, evaluation, etc., both inside the team as well as throughout the organization, • Be part of an active group of machine learning practitioners, • An experienced ML practitioner motivated to work on complex real-world problems in a fast-paced and collaborative environment -, • Strong background in machine learning, natural language processing, and generative AI, with experience in applying theory to develop real-world applications, • Hands-on expertise with implementing end-to-end production ML systems at scale. Experience with production LLM scale based systems is a plus, • Experience with incorporating human feedback to improve LLM based systems using technicals like DPO, KTO, and reinforcement fine-tuning, • Experience with designing end-to-end tech specs and modular architectures for ML frameworks in complex problem spaces in collaboration with product teams, • Experience with large scale, distributed data processing frameworks/tools like Apache Beam, Apache Spark, and cloud platforms like GCP or AWS, • We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location., • This team operates within the Eastern Standard time zone for collaboration.The United States base range for this position is $125,300 - $179,000 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays. This range encompasses multiple levels. Leveling is determined during the interview process. Placement in a level depends on relevant work history and interview performance. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

At TixTrack, we support our clients by creating superior ticketing solutions for performing arts and cultural institutions through a combination of modern technology, beautifully simple design, and the art of listening. Founded in Los Angeles, we are a small, but growing team of hardworking, highly motivated individuals. Our core product, Nliven, is a real-time platform that helps venues manage ticket sales efficiently while creating a more engaging buying experience for customers. With a presence across both the US and UK, and trusted by key players on Broadway and the West End, we are passionate about our work and driven to innovate with our customers to solve current and future challenges with new solutions. We are transforming our engineering culture to align with an Empowered Teams model, embracing Continuous Delivery and focusing on building capabilities to drive higher quality, reliability, and speed. Even with a highly dispersed, largely remote workforce, we stay connected through our Slack channels, virtual events and regional meetups. Come see how we "role". The Staff Software Engineer, Partners & Integrations is a key technical leader and mentor in our engineering organization. This role owns the systems that turn Nliven from a product into a platform- the external-facing APIs, webhooks, and integrations that partners and third-party systems build on. This role requires deep expertise in .NET Core and strong full-stack range across modern frontend frameworks (React, Angular, or Vue) to build scalable, high-performance applications. It also requires a deep appreciation for the principles of Site Reliability Engineering (SRE) and DevOps to ensure our systems- and the APIs others depend on- are stable, observable, and rapidly deployable. As a full-spectrum engineer, you care about more than code- you care about customers, business outcomes, security, reliability, and architecture as part of your own work. You think in terms of contracts and consumers: every API you ship is a long-lived promise to the teams and partners who build on it. Beyond technical execution, this position is a force multiplier; you will mentor engineers, help the team adopt Continuous Delivery practices, and raise the bar on engineering best practices. You play a pivotal role in system design, risk assessment, and deployment strategies while partnering with Product, Design, and Engineering Leadership to deliver solutions as part of a cross-functional, empowered product team. As Nliven connects to a growing ecosystem of partners and third-party systems- payments, CRM, marketing, identity, and more- you will define how we expose and consume those integrations, and how we make them reliable and easy to build on. This position reports to an Engineering Manager and is expected to take ownership of large-scale projects, solve complex problems and elevate the skills and standards of all engineers. This position is full-time and fully remote. Candidates must be located in California, Oregon, Colorado, Texas, Wisconsin, Minnesota, Louisiana, Florida, Virginia, North Carolina, South Carolina, New Jersey, New York, or Connecticut. Candidates may be required to travel and/or meet up in-person from time to time. There may also be an expectation in the future for hybrid work in a local office. You have designed and operated external-facing APIs and integration platforms that other teams and external partners build on, and you understand what makes an API program durable: clear contracts, thoughtful versioning, reliable webhooks, idempotency, rate limiting, and a great experience for the developers who consume it. You have a strong background in .NET Core and modern frontend frameworks like React, Angular, or Vue, with a deep understanding of both backend and frontend development. You don't just write code; you mentor, assist, and collaborate with your peers to elevate the entire team's technical output and skill level. You thrive on the challenge of modernizing an established product and are skilled at designing and building independent services to enable team autonomy and faster delivery. You have experience taking ownership of large-scale projects, driving architectural decisions, and mentoring engineers to foster a culture of technical excellence and continuous learning. You treat reliability, performance, and security as product quality- the things customers and partners experience directly- and you help set and meet SLOs for the systems and APIs you build. You are comfortable partnering with Product, Design, and Engineering Leadership to deliver technical solutions that align with business goals as a member of an Empowered Product Team. Own the API & Integrations Platform: Define and steward Nliven's external-facing APIs and integration points- contracts, versioning, authentication and authorization, webhooks and event delivery, idempotency, rate limiting, and observability- so partners and third-party systems can build on us safely and reliably. Drive Architectural Modernization: Actively contribute to the decoupling of our monolithic application, designing and implementing new service-oriented architectures that enable independent deployment and team autonomy. Elevate Quality and Reliability: Introduce and champion SRE principles, SLOs, and automated quality gates into our development lifecycle to ensure high system reliability- quality is the whole team's responsibility, and you help make that real. Be a Force Multiplier for the Team: Serve as a senior technical leader and mentor for engineers, setting technical direction through teaching, reviewing, and pairing rather than top-down mandate. Lead Third-Party Integrations: Architect and deliver integrations with external partners (payments, CRM, marketing, identity, partner systems), making them reliable and easy for other engineers to build on. Collaborate with Product and Design teams from discovery onward to develop solutions that align with business objectives and deliver high customer value. Lead the technical design and architecture of new features and products, making critical decisions about technology stack, system integrations, and architectural patterns. Create and maintain comprehensive technical documentation, including system designs, API specifications, and architectural diagrams- with a high bar for external-facing developer documentation. Lead and participate in code reviews, ensuring adherence to engineering best practices and supporting our internal open-source model of code stewardship. Develop and enforce coding standards, best practices, and design principles across the engineering team. Champion shipping in small, complete vertical slices- supported by trunk-based development and feature flags- over large, risky releases. Troubleshoot performance bottlenecks and optimize system reliability. Stay up to date with emerging technologies, evaluating their potential impact and adoption. Contribute to architectural discussions and long-term technical roadmaps. Solve complex technical challenges related to performance, scalability, and security. Other Duties Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities, that are required of the employee for the job. Duties, responsibilities, and activities may change at any time with or without notice. Minimum Requirements Bachelor's degree in Computer Science, Engineering, or related field. Eight or more years of full stack software development in a SaaS or technology-driven environment. Demonstrated experience designing, building, and operating external-facing APIs and/or an integrations platform- including API contracts, versioning, authentication, and webhooks. Strong back-end experience (.NET Core). Proficiency in modern frontend frameworks (Angular, React, or Vue), with strong front end fundamentals (HTML, CSS, and JavaScript). Deep understanding of SQL databases and data modeling best practices. Familiarity with Agile framework and methodologies. A comprehensive understanding of computer science concepts. Essential Skills Strong problem-solving and analytical skills, with a keen attention to detail. Excellent communication skills, able to articulate complex technical concepts clearly- including to external developer and partner audiences. Ability to work independently while collaborating effectively with cross-functional teams. Strong time management and multitasking skills, balancing multiple projects and priorities. Additional Desirable Skills Integration Breadth: Hands-on experience integrating third-party platforms such as payments (e.g., Stripe), CRM, marketing, or identity providers, including working with their APIs, webhooks, and event models. DevOps: Experience with CI/CD pipelines and infrastructure as code. Familiarity with containerization and container orchestration. A strong understanding of monitoring and logging tools. Developer Experience (DevEx): A passion for improving the developer workflow- internal and external. Experience with tooling automation, building internal frameworks or libraries, and improving developer documentation and API references. Microsoft Office Google Suite Slack JIRA Find Harmony - We confidently manage our work priorities and feel comfortable taking time to enjoy life outside of work. Have a Clear View - We are transparent and honest, understand our roles, and know how we contribute. Be a Fan - We are passionate about our work and driven to innovate with our customers to solve current and future challenges with new solutions. Welcome All - We are a diverse group of employees that come together as a team, without ego, and do great work. Perform at Your Best – We are committed to our customers success, always willing to listen and improve, to ensure our products exceed expectations. Radical Curiosity - We Stay Hungry - We approach each day with curiosity and accountability; learning, engaging fully, questioning assumptions, connecting our work to the bigger picture, and always keeping the customer at the center. Embrace Change - We Own Outcomes Together - We succeed by holding ourselves accountable, collaborating deeply across teams, embracing change, and continuously improving together. Seek Solutions - We Continuously Innovate Together - We focus on solutions and client value by acting decisively, prioritizing what matters most, and turning ideas into results through rapid, iterative action. Empathy - We Grow Together - We listen deeply to our customers and to each other, using data, empathy, and mutual respect to grow stronger together. Transform - We Raise The Bar - We set high standards, honor our commitments, and move forward every day with a success mindset, driving continuous improvement and quality for our customers. TixTrack is committed to a workplace where everyone is free from bias, prejudice, discrimination, and harassment. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law. We strive to ensure a welcoming work environment where everyone belongs and is valued, encouraged, & respected. We embrace and celebrate the unique experiences, perspectives, and cultural backgrounds that each employee brings to our workplace. We are focused on building a culture that acknowledges and values diversity, equity, and inclusion. Base annual salary range of $170,000 - $190,000, commensurate with experience. Eligibility for annual bonus based on performance and company success 100% of premium paid for medical, dental and vision benefits for employee and dependents, with an HSA-eligible option (with a $1,000 employer contribution for 2026) Company-paid life insurance Traditional and Roth 401k plans Paid parental leave Learning & development opportunities with company reimbursement for eligible educational expenses Working abroad opportunities Volunteer days off Flexible scheduling Up to $300 reimbursement for initial equipment to set up hybrid work environment Generous PTO and holiday schedule Remote work environment _ _ _ Our team is here to support you throughout the hiring process with reasonable accommodations. We strive to provide an unbiased and equitable interview experience for all applicants. If you need assistance applying for a role due to a disability or special need, please let us know by emailing _.

Deepgram is the leading platform underpinning the emerging trillion-dollar Voice AI economy, providing real-time APIs for speech-to-text (STT), text-to-speech (TTS), and building production-grade voice agents at scale. More than 200,000 developers and 1,300+ organizations build voice offerings that are ‘Powered by Deepgram’, including Twilio, Cloudflare, Sierra, Decagon, Vapi, Daily, Cresta, Granola, and Jack in the Box. Deepgram’s voice-native foundation models are accessed through cloud APIs or as self-hosted and on-premises software, with unmatched accuracy, low latency, and cost efficiency. Backed by a recent Series C led by leading global investors and strategic partners, Deepgram has processed over 50,000 years of audio and transcribed more than 1 trillion words. There is no organization in the world that understands voice better than Deepgram. At Deepgram, we expect an AI-first mindset—AI use and comfort aren’t optional, they’re core to how we operate, innovate, and measure performance. Every team member who works at Deepgram is expected to actively use and experiment with advanced AI tools, and even build your own into your everyday work. We measure how effectively AI is applied to deliver results, and consistent, creative use of the latest AI capabilities is key to success here. Candidates should be comfortable adopting new models and modes quickly, integrating AI into their workflows, and continuously pushing the boundaries of what these technologies can do. Additionally, we move at the pace of AI. Change is rapid, and you can expect your day-to-day work to evolve just as quickly. This may not be the right role if you’re not excited to experiment, adapt, think on your feet, and learn constantly, or if you’re seeking something highly prescriptive with a traditional 9-to-5. Opportunity Deepgram is seeking a Pre-Sales Solutions Engineer to join our Applied Engineering team. While you'll have the opportunity to contribute across the team's various responsibilities (including pre-sales, implementation, and customer support), your primary focus will be driving technical pre-sales engagements with our prospects, customers, and partners. In this role, you will be the technical authority who bridges the gap between our state-of-the-art AI speech technology and customer business needs. You'll collaborate closely with our sales team to craft compelling technical solutions, provide technical validation, build proof-of-concepts, and demonstrate the value of our platform to technical decision makers. Your deep engineering expertise combined with consultative sales skills will be crucial in navigating complex sales cycles and establishing Deepgram as the preferred Voice AI partner. As a member of the Applied Engineering team, you'll influence the team’s vision, product strategy based on market insights, and contribute to the evolution of our pre-sales methodology. This role is based in San Francisco, where many of our customers and partners are located. Being close to them helps us move quickly and stay connected to their needs. While the role is anchored in our San Francisco office, Deepgram continues to be remote-first and we don't expect you to be in the office every day. We believe a mix of in-person and remote work allows us to share context and build productively. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions About Applied Engineering at Deepgram The Applied Engineering (AppEng) team at Deepgram combines the functions that other companies might separate into Solutions Engineering, Sales Engineering, Implementation, and Technical Support. We serve as the technical interface between Deepgram and our customers throughout their entire journey. We work closely with our Customer Success and Developer Experience (DX) teams to ensure a positive, growth-focused experience for our customers, as well as with Product and Engineering teams to deliver solutions that meet customer needs. This unified approach allows us to provide comprehensive technical guidance and build deeper relationships with our customers. As an Applied Engineer, you'll be primarily focused on the pre-sales aspects of this journey while having opportunities to contribute to the full customer lifecycle. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions What You’ll Do Lead technical discovery and solution design for enterprise prospects and customers Architect and implement custom proof-of-concepts and technical demonstrations that address specific customer use cases Provide expert guidance on API integration, performance optimization, and deployment strategies Partner with Account Executives to navigate technical objections and accelerate the sales cycle Contribute to technical content creation including implementation guides, reference architectures, and best practices Mentor junior team members and share technical knowledge across the organization Represent the voice of the customer to product and engineering teams Your First 90 Days First 30 Days: Complete comprehensive onboarding to understand Deepgram's technology, products, and competitive landscape. Shadow senior team members on customer calls and begin building technical demos. Gain proficiency with our core APIs and documentation. 60 Days: Lead technical discovery calls with account executives, and develop custom proof-of-concepts for prospects. Begin contributing to technical content. Participate in sales strategy sessions and provide technical insights to deals in progress. 90 Days: Own the technical relationship with assigned accounts. Develop and present complex solutions addressing specific customer challenges. Begin mentoring newer team members and contributing to the pre-sales methodology. You’ll Love This Role If You Are passionate about translating complex technical capabilities into business value Thrive in consultative customer environments where you can showcase your technical expertise Enjoy the strategic aspects of enterprise sales cycles while maintaining technical credibility Find satisfaction in seeing your technical solutions drive customer adoption and success Are energized by staying at the forefront of AI and speech technology It’s Important To Us That You Have 5+ years of experience in technical pre-sales, solutions architecture, or similar customer-facing technical roles Strong software engineering background with professional development experience in at least one modern programming language, such as Python, JavaScript/TypeScript, or similar languages Proven track record of successfully navigating complex technical sales cycles Experience building and demonstrating proof-of-concepts or technical solutions to diverse audiences Excellent verbal and written communication skills with the ability to translate technical concepts for both technical and non-technical stakeholders It Would Be Great if You Had Experience with speech recognition, NLP, AI/Voice agents, or related AI technologies Experience building customer-facing demos and sample code Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies like Docker and Kubernetes (K8s) Experience with API-first products and developer tools Background in sales methodologies such as Triangle, MEDDIC, or Solution Selling Medical, dental, vision benefits Annual wellness stipend Mental health support Life, STD, LTD Income Insurance Plans Unlimited PTO Generous paid parental leave Flexible schedule 12 Paid US company holidays Quarterly personal productivity stipend One-time stipend for home office upgrades 401(k) plan with company match Tax Savings Programs Learning / Education stipend Participation in talks and conferences Employee Resource Groups AI enablement workshops / sessions *For candidates outside of the US, we use an Employer of Record model in many countries, which means benefits are administered locally and governed by country-specific regulations. Because of this, benefits will differ by region — in some cases international employees receive benefits US employees do not, and vice versa. As we scale, we will continue to evaluate where we can create more alignment, but a 1:1 global benefits structure is not always legally or operationally possible. Backed by prominent investors including Y Combinator, Madrona, Tiger Global, Wing VC and NVIDIA, Deepgram has raised over $215M in total funding. If you're looking to work on cutting-edge technology and make a significant impact in the AI industry, we'd love to hear from you! Deepgram is an equal opportunity employer. We want all voices and perspectives represented in our workforce. We are a curious bunch focused on collaboration and doing the right thing. We put our customers first, grow together and move quickly. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, pregnancy, parental status, genetic information, political affiliation, or any other status protected by the laws or regulations in the locations where we operate. We are happy to provide accommodations for applicants who need them.

About Stack: Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands. About the Role: The Dynamic World Perception team is responsible for real-time detection of road actors and properties. This includes developing occupancy networks and other perception algorithms to accurately identify and classify all dynamic elements within the driving environment. We're looking for a Staff or Senior Engineer to lead the development, maintenance, and enhancement of our long-range detection capabilities, ensuring the required safety and performance standards are met or exceeded. Responsibilities: • Lead initiatives in the team to deliver state-of-the-art closed-and open-world detection capabilities., • Contribute to expansion and fusion of existing detection models to support improving performance and extending performance at range., • Contribute to improvement of model frameworks, architecture, and data pipelines., • Develop robust software for onboard vehicle deployment, optimizing for real-time, resource-constrained, and safety-critical environments., • Drive highly cross-functional features and workstreams from problem statement to delivery., • Contribute to the technical direction of the team and broader perception org., • Align stakeholders with strong presentation and communication skills., • Lead challenging technical topics and build consensus. Qualifications: • Extensive experience architecting, training, and deploying deep learning models into real-world environments., • Track record of driving applied research projects from start to completion, including conception, problem definition, experimentation, iteration, and finally publication or productization., • Experience delivering detection, segmentation, and/or tracking solutions for real-time robotic applications. Prior experience in sensor fusion is highly desirable., • Strong experience in software engineering and machine learning algorithm design., • Fluency in Python., • Experience with C++. We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity. Check out our _ Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.

Job Description Caregivers are responsible for the care, hygiene, health, training, development, safety and supervision of the participants of Harbor House services and programs. Certified Nursing Assistants (CNA's) are hand-on roles interacting and providing care for intellectually disabled adults including participation in art, music and health/wellness activities, including assistance with eating and toileting. Shift is Monday - Friday with hours between 6:30AM - 6:00PM, with weekend rotation providing respite care in a home setting, which includes overnights. Position also is responsible for taking and recording vitals and must possess a valid KY CNA license. Company DescriptionSince 1992 Harbor House of Louisville has provided day services to adults with intellectual disabilities, giving them opportunities to build social, emotional, and cognitive skills through participation in employment, performing arts, health and wellness, and visual arts. Now Harbor House is expanding to bring these same outstanding day services to children and seniors of all abilities—meaning with and without disabilities—on an intergenerational model where all three groups will engage daily in meaningful opportunities aimed at improving their lives. What does that mean? It means that children, adults, and seniors of all abilities will read, sing, dance, paint, draw, and even exercise together. We moved into our new 36,000-square-foot Intergenerational Life Center in October 2023, and are now weaving children and seniors into our family, beginning with before- and after-school programs and seniors in 2024, and 105 children of all abilities, ages 6 weeks to 5 years, when our previous 8,000-square-foot building is renovated into a Child Enrichment Center by spring 2025. Harbor House. Weaving a tapestry of love, hope, and empowerment.Since 1992 Harbor House of Louisville has provided day services to adults with intellectual disabilities, giving them opportunities to build social, emotional, and cognitive skills through participation in employment, performing arts, health and wellness, and visual arts. \r\n\r\nNow Harbor House is expanding to bring these same outstanding day services to children and seniors of all abilities—meaning with and without disabilities—on an intergenerational model where all three groups will engage daily in meaningful opportunities aimed at improving their lives. What does that mean? It means that children, adults, and seniors of all abilities will read, sing, dance, paint, draw, and even exercise together. \r\n\r\nWe moved into our new 36,000-square-foot Intergenerational Life Center in October 2023, and are now weaving children and seniors into our family, beginning with before- and after-school programs and seniors in 2024, and 105 children of all abilities, ages 6 weeks to 5 years, when our previous 8,000-square-foot building is renovated into a Child Enrichment Center by spring 2025.\r\n\r\nHarbor House. Weaving a tapestry of love, hope, and empowerment.

You'll be the person who figures out what Firecrawl should build next — and why. Right now, our engineers are shipping great infrastructure, and our support and sales teams are handling inbound well. But the bigger product bets — the ones that turn a good tool into a dominant platform — are stalling because nobody has the bandwidth to do real customer discovery. We have a state-of-the-art commercial research paper search endpoint with one customer using it. We have answers, reranking, monitoring — strong features that aren't getting the focused attention they deserve. You fix that. This isn't a PM role where you write tickets and manage a backlog. You're in the field. You talk to customers — a lot of them. You find the patterns, source the insights, and bring them back to the team in a way that changes what we prioritize. You're the bridge between what developers are actually trying to do and what we're building. Salary Range: $160,000–$230,000/year (Range shown is for U.S.-based employees. Compensation outside the U.S. is adjusted fairly based on your country's cost of living. You can explore how we calculate this here: _.) Equity Range: Up to 0.15% Location: San Francisco, CA (Hybrid) Job Type: Full-Time Experience: 3+ years in product research, customer discovery, technical PM, or founder-level product work — with demonstrated results Visa: US Citizenship/Visa required Firecrawl is the easiest way to extract data from the web. Developers use us to reliably convert URLs into LLM-ready markdown or structured data with a single API call. In just a year, we've hit 8 figures in ARR and 100k+ GitHub stars by building the fastest way for developers to get LLM-ready data. We're a small, fast-moving, technical team building essential infrastructure superintelligence will use to gather data on the web. We ship fast and deep. Talk to customers constantly. This is the job. You're running 15-25 customer conversations a week — discovery calls, user interviews, onboarding sessions, churn conversations. You're not surveying people. You're having real conversations that uncover what they're building, where they're stuck, and what would make Firecrawl indispensable to their workflow. You develop a sixth sense for what customers say versus what they actually need. Find the insights that change priorities. You don't just report what customers said — you synthesize it. You spot the patterns across dozens of conversations and turn them into clear, actionable product recommendations. "Here's the use case we're missing, here's how big it is, here's what we'd need to build, here's why it matters now." You bring receipts. Own customer discovery for new product surfaces. When the team is exploring a new direction — a new endpoint, a new pricing model, a new market segment — you're the person who goes deep. You map the landscape, talk to the right people, and come back with a clear picture of whether it's worth pursuing and how to win. You've done this at the 0-to-1 stage and you've done it at scale. You know the difference. Be the voice of the customer in every product conversation. You're in the room when product and engineering decisions are being made. Not to slow things down — to make them sharper. You bring real user context that prevents the team from building technically impressive things nobody asked for. Close the feedback loop. When the team ships something based on your research, you go back to the customers who informed it. You validate. You measure. You learn. Discovery isn't a one-time phase — it's a continuous cycle that compounds the more you do it. Create content from customer conversations. The best product research doubles as marketing. Customer stories, use case write-ups, product positioning insights — you naturally produce content that helps the team sell and market, not just build. Ex-founder energy. You've built something from scratch — ideally in dev tools or technical infrastructure. You know what it feels like to talk to your first 100 customers and figure out product-market fit by hand. That instinct doesn't come from reading about it. YC background is a major plus. Genuinely technical. You don't need to be writing production code, but you need to understand the product deeply enough to have credible conversations with developers. "Engineer" should be somewhere in your background, or you should be the kind of person who can vibe-code a working prototype and talk fluently about APIs, SDKs, and developer workflows. You can't do discovery on a technical product if you don't understand how it works. Exceptional communicator. You're great on camera, great on calls, great in writing. You can talk to a senior ML engineer about their RAG pipeline and then turn that conversation into a crisp internal brief that changes what the team builds. You're organized, you follow up, and people enjoy talking to you. Executor, not theorist. You don't produce 30-page research reports that nobody reads. You produce clear recommendations with enough evidence to act on, and you move fast enough that your insights are still relevant when you share them. You bias toward action. Comfortable with ambiguity. There's no playbook for this role at Firecrawl yet. You're building the customer discovery function from scratch. If you need a manager to tell you who to talk to and what questions to ask, this isn't the role. If you thrive when you get to figure it out — keep reading. Backgrounds that tend to do well: Ex-founders in the dev tools or API infrastructure space who understand 0-to-1 customer discovery. Technical PMs who've done real discovery work (not just roadmap management). Developer advocates who went deep on product strategy, not just content. People from the YC network who understand how early-stage companies find product-market fit. Engineers who realized they were better at talking to customers than writing code — and leaned into it. Traditional product managers. If your experience is writing PRDs, grooming backlogs, and running sprint planning — that's not this. We need someone who's in the field, not in Jira. Consultants or freelancers. We need someone embedded in the team who builds deep context over time. If your background is mostly advisory work or short engagements, the learning curve will be too steep and the insights too shallow. People who aren't technical enough. If you can't hold your own in a conversation about web scraping, API design, LLMs, or developer infrastructure — you won't be credible with our customers and you won't be useful to our engineering team. You don't need to be an engineer. But you need to be deeply comfortable in technical territory. Conference-circuit types. If your version of "customer discovery" is networking at events and collecting business cards, that's not what we mean. We mean sitting down with a developer, understanding their architecture, and figuring out where Firecrawl fits — or doesn't. Slow movers. We're a 26-person company competing in a market that's moving at light speed. If you need weeks to synthesize findings or months to build conviction on a recommendation, the window will have closed. We operate at an absurd level of urgency because the window for what we're building won't stay open forever. If that excites you, keep reading. If it doesn't, no hard feelings — but this role probably isn't for you. Salary that makes sense — $160,000–$230,000/year, based on impact, not tenure Own a piece — Up to 0.15% equity in what you're helping build Generous PTO — 15 days mandatory, anything after 24 days, just ask (holidays excluded); take the time you need to recharge Parental leave — 12 weeks fully paid, for moms and dads Wellness stipend — $100/month for the gym, therapy, massages, or whatever keeps you human Learning & Development — Expense up to $1,000/year toward anything that helps you grow professionally Team offsites — A change of scenery, minus the trust falls Sabbatical — 3 paid months off after 4 years, do something fun and new Full coverage, no red tape — Medical, dental, and vision (100% for employees, 50% for spouse/kids) — no weird loopholes, just care that works Life & Disability insurance — Employer-paid short-term disability, long-term disability, and life insurance — coverage for life's curveballs Supplemental options — Optional accident, critical illness, hospital indemnity, and voluntary life insurance for extra peace of mind Doctegrity telehealth — Talk to a doctor from your couch 401(k) plan — Retirement might be a ways off, but future-you will thank you Pre-tax benefits — Access to FSAs and commuter benefits (US-only) to help your wallet out a bit Pet insurance — Because fur babies are family too SF HQ perks — Snacks, drinks, team lunches, intense ping pong, and peak startup energy E-Bike transportation — A loaner electric bike to get you around the city, on us Application Review — Send us your work and a quick note on why this excites you. We want to see evidence of real customer discovery work — case studies, product pivots you drove, insights that changed a company's direction. A portfolio of "I talked to X customers and we built Y as a result" goes a long way. Intro Chat (~20 min) — A quick conversation to get to know each other. We'll talk about what you've been working on, your experience with customer discovery, and what drew you to Firecrawl. Time for your questions too. Deep Dive Chat (~45 min) — Walk us through a real example: a time you ran customer discovery that meaningfully changed what a product team built. We'll go deep on your process — how you identified who to talk to, what you asked, how you synthesized, and how you got the team to act on it. Then we'll explore a live scenario at Firecrawl — how would you approach discovery for a product surface with low adoption? Founder Chat (~30 min) — Culture, pace, ownership, and how you like to work. Time for your questions too. Paid Work Trial (1–2 weeks) — Run a real mini-discovery sprint. Talk to actual Firecrawl customers, synthesize what you learn, and present a recommendation to the team. We evaluate on the quality of your insights, how you run conversations, and whether your recommendation would actually change what we build. Decision — We move fast after the trial. If you want to be the person who figures out what the fastest-growing web data infrastructure company should build next — by actually talking to the developers who use it — this is your shot. 👉 Apply now.

The Music Mission team owns Spotify’s end to end proposition for music creators and the experiences they create for fans. The team is dedicated to building tools and services to enable creation, promotion, expression, and monetization at scale. Our Artist-First AI Music Lab designs and builds state-of-the-art generative AI products for music that create breakthrough experiences for fans and artists. We are currently searching for a Machine Learning Engineer to join our journey as we invent entirely new listening experiences that center and celebrate artists and creatives. All of our products put artists and songwriters first through four guiding principles: • Partnerships with record labels, distributors, and music publishers: We’ll develop new products for artists and fans through upfront agreements, not by asking for forgiveness later., • Choice in participation: We recognize there’s a wide range of views on use of generative music tools within the artistic community. Therefore, artists and rightsholders will choose if and how to participate to ensure the use of AI tools aligns with the values of the people behind the music., • Fair compensation and new revenue: We will build products that create wholly new revenue streams for rightsholders, artists, and songwriters, ensuring they are properly compensated for uses of their work and transparently credited for their contributions., • Artist-fan connection: AI tools we develop will not replace human artistry. They will give artists new ways to be creative and connect with fans. We will leverage our role as the place where more than 700 million people already come to listen to music every month to ensure that generative AI deepens artist-fan connections., • Design, build, evaluate, and improve machine learning training and inference pipelines that power new AI-driven music experiences and help take them to fully scaled production-ready features., • Apply machine learning and prompt engineering knowledge across complex ML pipelines to support rich user experiences involving large language models., • Create evaluation frameworks, including LLM-as-judge pipelines, to measure quality and build fast feedback loops that enable rapid and confident iteration., • Partner with music subject-matter experts to bootstrap training and reference data, including synthetic generation, expert curation, and taxonomy design., • Build scalable systems that balance experimentation velocity with production rigor, ensuring strong performance, reliability, and latency at Spotify scale., • Collaborate closely with Data Science teams to connect evaluation frameworks with real-world usage signals and continuously improve model quality., • Contribute to technical direction and engineering best practices across model deployment, observability, experimentation, and production infrastructure., • Work cross-functionally with engineering, product, design, and music industry partners to shape entirely new listening experiences for artists and fans., • Experienced in applying machine learning in production environments., • You have hands-on experience working with large language models, prompt engineering, evaluation systems, and shipping LLM-driven features in production., • You have experience building and maintaining production ML systems using Python, Java, Scala, or similar languages., • You are experienced in building large-scale data pipelines for sourcing, preparing, and evaluating training data., • You have worked with cloud platforms such as GCP, AWS, Azure, or similar infrastructure environments., • You are comfortable explaining machine learning concepts, assumptions, and trade-offs to both technical and non-technical audiences., • You have experience building user-facing products and strong judgment around conversational AI and generative user experiences., • You care deeply about experimentation, iteration, and using data to guide product and engineering decisions., • You thrive in collaborative, cross-functional teams that move quickly, experiment often, and continuously learn., • We offer you the flexibility to work where you work best! For this role, you can be within the Eastern United States region as long as we have a work location., • This team operates within the EST time zone for collaboration. The United States base range for this position is $138,250- $197,500 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

The Music Promotion team is building products that allow creators to promote their work to reach new audiences and create lasting connections with their fans. We’re looking for a Machine Learning Engineer to help us build systems that more accurately understand the performance that promotion can have, giving customers actionable insights for building their promotion strategies, whether it’s a DIY artist or an industry-facing partner. As an ML Engineer, you will help execute on strategies for understanding the factors that play a role in the performance of promoted tracks across the globe. You’ll build data-driven solutions, as well as effective online and offline strategies to efficiently iterate and evaluate model approaches. You’ll have access to a growing list of datasets, features and ML infrastructure to continually experiment and improve the model-based approach. • Contribute to the design, build, evaluation, shipping, and refinement of systems that improve Spotify’s promotional performance with hands-on ML development, • Collaborate with a multidisciplinary team to optimize machine learning models for production use cases, ensuring they are highly efficient, scalable, and consistently meet well-defined success criteria, • Influence the technical design, architecture, and infrastructure decisions to support new and diverse machine learning architectures., • Work with Data and ML Engineers to support transitioning machine learning models from research and development into production, • Implement and monitor model success metrics, diagnose issues, and contribute to an on-call schedule to maintain production stability., • You have experience implementing ML systems at scale in Java, Scala, Python or similar languages as well as experience with ML frameworks such as TensorFlow, PyTorch, etc., • You have an understanding of how to bring machine learning models from research to production and are comfortable working with innovative, cutting-edge architectures., • You have a collaborative mindset, enjoy working closely with research scientists, machine learning engineers, and data engineers to innovate and improve models., • You have experience in optimizing machine learning models for production use cases, • You preferably have experience with data pipeline tools like Apache Beam, Scio, and cloud platforms like GCP, • You have some exposure to causal ML models, including things like counterfactuals., • You are familiar with creating model success metric dashboards, diagnosing production issues, and are willing to take part in an on-call schedule to maintain performance. We offer you the flexibility to work where you work best! For this role, you can be within the EST time zone as long as we have a _. The United States base range for this position is $170,000 - $212,000 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future. Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: https://lifeatspotify.com/ai-notice

Job Description Job Title: Oral Surgeon Location: Louisville, KY Job Type: Full-Time About Us: Join our well-established oral surgery practice in Louisville, KY, dedicated exclusively to providing exceptional oral and maxillofacial surgical care. With a strong reputation in the community, our practice focuses on delivering high-quality patient care through state-of-the-art technology and a team of skilled professionals. We have a robust internal marketing strategy to support and manage external referrals, ensuring a steady flow of patients from our referring partners. Position Overview: We are seeking a highly skilled and compassionate Oral Surgeon to join our team. The ideal candidate will have a passion for oral surgery and a commitment to delivering exceptional patient care. This position offers the opportunity to work in a practice solely dedicated to oral surgery, allowing you to focus on your specialty in a supportive and collaborative environment. Key Responsibilities: • Perform a full scope of oral and maxillofacial surgical procedures, including extractions, dental implants, bone grafting, and corrective jaw surgery., • Collaborate with referring dentists and healthcare professionals to develop comprehensive treatment plans., • Provide patient consultations, explaining surgical procedures and treatment options clearly and compassionately., • Maintain accurate and detailed patient records, ensuring compliance with all regulatory and practice standards., • Participate in internal marketing initiatives to strengthen referral relationships and enhance practice growth., • Stay updated on the latest advancements in oral and maxillofacial surgery through continuing education and professional development. Benefits: • Unique compensation model with hybrid of W2 and 1099 wages to maximize tax benefits, • Comprehensive benefits package, including health insurance, retirement plans with 4% match., • Stock options up to $500,000 along with profit share buyin opportunity, • Paid short and long term disability, • Paid malpractice policy, • Annual dues/CE reimbursement up to $5,000, • Supportive and collaborative work environment focused on excellence in patient care., • Strong internal marketing and referral management to ensure a steady patient flow. Qualifications: • DMD/DDS from an accredited dental school., • Completion of an accredited oral and maxillofacial surgery residency program., • Board certification or eligibility preferred., • Licensed or eligible for licensure in Kentucky., • Strong communication and interpersonal skills, with a focus on patient-centered care., • Ability to work collaboratively within a team-oriented practice.

Job Description Caregivers are responsible for the care, hygiene, health, training, development, safety and supervision of the participants of Harbor House services and programs. Direct Support Professionals (DSP's) are hand-on roles interacting and providing care for intellectually disabled adults including participation in art, music and health/wellness activities, including assistance with eating and toileting. Shift is Monday - Friday with hours between 7AM - 5PM, Company DescriptionSince 1992 Harbor House of Louisville has provided day services to adults with intellectual disabilities, giving them opportunities to build social, emotional, and cognitive skills through participation in employment, performing arts, health and wellness, and visual arts. Now Harbor House is expanding to bring these same outstanding day services to children and seniors of all abilities—meaning with and without disabilities—on an intergenerational model where all three groups will engage daily in meaningful opportunities aimed at improving their lives. What does that mean? It means that children, adults, and seniors of all abilities will read, sing, dance, paint, draw, and even exercise together. We moved into our new 36,000-square-foot Intergenerational Life Center in October 2023, and are now weaving children and seniors into our family, beginning with before- and after-school programs and seniors in 2024, and 105 children of all abilities, ages 6 weeks to 5 years, when our previous 8,000-square-foot building is renovated into a Child Enrichment Center by spring 2025. Harbor House. Weaving a tapestry of love, hope, and empowerment.Since 1992 Harbor House of Louisville has provided day services to adults with intellectual disabilities, giving them opportunities to build social, emotional, and cognitive skills through participation in employment, performing arts, health and wellness, and visual arts. \r\n\r\nNow Harbor House is expanding to bring these same outstanding day services to children and seniors of all abilities—meaning with and without disabilities—on an intergenerational model where all three groups will engage daily in meaningful opportunities aimed at improving their lives. What does that mean? It means that children, adults, and seniors of all abilities will read, sing, dance, paint, draw, and even exercise together. \r\n\r\nWe moved into our new 36,000-square-foot Intergenerational Life Center in October 2023, and are now weaving children and seniors into our family, beginning with before- and after-school programs and seniors in 2024, and 105 children of all abilities, ages 6 weeks to 5 years, when our previous 8,000-square-foot building is renovated into a Child Enrichment Center by spring 2025.\r\n\r\nHarbor House. Weaving a tapestry of love, hope, and empowerment.

About Mercor projects** Experts in our network contribute to: - Training and evaluating AI models in Graphic & UX/UI Design - Creating tasks and deliverables based on real-world scenarios - Providing domain-specific feedback to advance frontier AI research Projects vary in scope and duration, with t

Clear and concise pay model lets you know the minimum amount you will make before accepting any offer. Consistent access to a smartphone. Dashing with DoorDash is a great earnings opportunity for anyone looking for part-time, seasonal, flexible, weekend, after-school, temporary, steady delivery gig.

Clear and concise pay model lets you know the minimum amount you will make before accepting any offer. Consistent access to a smartphone. Dashing with DoorDash is a great earnings opportunity for anyone looking for part-time, seasonal, flexible, weekend, after-school, temporary, steady delivery gig.

Clear and concise pay model lets you know the minimum amount you will make before accepting any offer. Consistent access to a smartphone. Dashing with DoorDash is a great earnings opportunity for anyone looking for part-time, seasonal, flexible, weekend, after-school, temporary, steady delivery gig.