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JOB TITLE: SR DATA SCIENTIST JOB LOCATION: REMOTE, WASHINTON DC WAGE RANGE*: 72.00-76.00 PER HOUR JOB NUMBER: SAIJP00038728 REQUIRED EXPERIENCE: Master's degree, PhD preferred in Statistics, Mathematics, or a related quantitative field, with 5–8+ years of applied data science experience Mastery of Python or R, statistical tools such as Stata, SAS and strong SQL Expertise with ML algorithms (e.g. model selection, evaluation, feature engineering, etc.) Expertise with application of AI to deliver insights with optimal performance, cost savings, etc. using structured, unstructured data Expertise with data visualization tools (e.g. Tableau, Matplotlib) Experience processing large datasets, deploying LLMs in government cloud data platforms (e.g. Azure ADLS/Databricks/Azure ML, or equivalents) Comparative understanding of LLMs (e.g. Claude Code, ChatGPT), and tradeoffs in terms of capabilities, cost, and performance Excellent problem-solving skills and the ability to think critically and analytically to address complex research challenges Exceptional verbal and written communication skills and a bias toward rigor, clarity, and defensibility over black-box modeling are essential Familiarity with FISMA/NIST/Zero Trust security frameworks Current Principal Data Scientist (PDS) Certification JOB DESCRIPTION Senior Data Scientist who will work closely with client stakeholders to support economic analysis of national importance through application of advanced statistics and data science techniques and technologies. In this position, you will utilize your strong background in statistics, machine learning, generative AI, visualization, economic analysis, and big data processing to plan and execute projects to meet business client data needs. Requirements: Partner with stakeholders to scope questions and assumptions, support solution design, and facilitate project execution Design and implement robust data ingestion, storage, integration, processing, retrieval, and management strategies for research datasets Build transparent, reproducible pipelines and analysis environments in cloud infrastructures Produce crisp exhibits and memos that explain methods, limitations, and uncertainty Facilitate and execute data-driven research by applying sophisticated statistical, machine learning, and computational methods to analyze complex datasets related to computer and information science Create compelling data visualizations and reports that convey complex research findings in a clear and accessible manner to both technical and non-technical stakeholders Support defensible analytics and econometric/causal inference workstreams, translating ambiguous business or legal questions into testable hypotheses and clear, client-ready findings Design and execute rigorous studies (e.g., difference-in-differences, panel models with fixed/random effects, instrumental variables/2SLS, time series/forecasting, etc.) to turn multi-source datasets into documented, auditable results Mentor teammates on best practices Stay updated on the latest academic research and industry advancements in data science, AI, and information systems, and apply relevant findings to ongoing projects Preferred: Experience with Spark/Databricks. Domain exposure to antitrust, pricing, healthcare claims, fraud/forensics, or financial analysis is a plus. Experience producing reproducible, peer-reviewed-method analyses that meet Rule 702/Daubert reliability requirements and can withstand Daubert challenges (methods, error rates, standards/controls, and appropriate bounds on conclusions) Contribution to open-source projects or participation in relevant data science communities. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities * While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

Job Purpose: The Associate will support a Senior Analyst in the Healthcare sector, focused on Biotechnology, with an emphasis on companies where applied chemistry, process development, formulation, and manufacturability (CMC) are key drivers of value. The Associate will conduct primary research and fundamental analysis, build and maintain financial models, and help author differentiated research that translates scientific/technical insights into clear investment conclusions. The ideal candidate is a self-starter with strong analytical rigor, excellent writing skills, and a Master’s-level foundation in Chemical Engineering and applied chemistry. Duties & Responsibilities: Research, Diligence & Technical Analysis • Perform deep diligence on biotech platforms and products where chemistry and process matter, including (as applicable): ADCs, oligonucleotides/siRNA, peptides, radiopharmaceuticals, LNP/delivery systems, biologics formulation, and chemistry-enabled tools., • Evaluate CMC and scale-up risk across development stages (preclinical through commercial), including:, • Synthetic route/process complexity, yield/throughput considerations, impurity profiles, stability and degradation pathways, • Formulation constraints, cold-chain/logistics considerations, and analytical characterization/assay robustness, • CDMO/manufacturing capacity, tech transfer risk, and timeline sensitivities impacting commercial readiness., • Conduct primary research through KOL outreach, expert calls, surveys/polling, and other proprietary data collection to support thesis formation and ongoing monitoring., • Build and maintain company financial models (forecasting, scenario analysis, valuation work) for use in updates, investment recommendations, and client discussions., • Assist in drafting and publishing research: initiations, earnings notes, catalyst previews/recaps, thematic reports, and breaking-news updates., • Help maintain and grow relationships with company management teams, industry/academic contacts, internal Sales & Trading partners, and institutional investors., • Master’s degree in chemical engineering preferred with demonstrated strength in applied chemistry (e.g., reaction engineering, separations/purification, formulation, analytical characterization, process development/scale-up)., • Demonstrated interest in Biotechnology and life sciences investing; ability to connect scientific/engineering details to business and valuation outcomes., • Strong financial aptitude and willingness to build expertise in modeling, forecasting, and valuation (advanced Excel required)., • Excellent written and verbal communication skills; ability to explain complex technical concepts clearly to non-technical audiences., • Highly organized, detail-oriented, and able to thrive in a fast-paced, deadline-driven environment., • Strong work ethic, resourcefulness, and critical/creative thinking. Additional Skills: • 1–3 years of experience in equity research, investment banking, consulting, or biopharma industry roles (process development, analytical development, manufacturing/CMC, QA/QC, or related)., • Familiarity with biopharma development and regulatory context as it relates to CMC (e.g., comparability, stability programs, method validation concepts)., • Experience with scientific literature review and interpreting preclinical/clinical datasets in conjunction with chemistry/manufacturing constraints., • SIE, Series 63, 86 & 87 preferred (not required upon hiring). Important Notes: • Must be authorized to work full time in the U.S., BTIG does not offer sponsorship for work visas of any type BTIG is a global financial services firm specializing in institutional trading, investment banking, research and related brokerage services. With an extensive global footprint and more than 700 employees, BTIG, LLC and its affiliates operate out of 20 cities throughout the U.S., and in Europe, Asia and Australia. BTIG offers execution, expertise and insights for equities, equity derivatives, ETFs and fixed income, currency and commodities. The firm’s core capabilities include global execution, portfolio, electronic and outsource trading, investment banking, prime brokerage, capital introduction, corporate access, research and strategy, commission management and more. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. BTIG is an equal opportunity employer Minorities/Females/People with Disabilities/Protected Veterans/Sexual Orientation/Gender Identity. Compensation: • BTIG offers a competitive compensation and benefits package. Salary range is based on a variety of factors including, but not limited to, location, years of applicable experience, skills, qualifications, licensure and certifications, and other business and organization needs.

Company Description Fluorotherm Polymers Inc., founded in the 1990s, builds on the expertise of its team members with decades of experience at leading fluoropolymer manufacturers such as DuPont and Norton. We specialize in innovative fluoropolymer solutions, continuously expanding into new industries like 3D printing and advanced manufacturing. Our dedication to creativity, quality, and customer service has earned us a loyal global customer base. Based in New Jersey, our ISO 9001:2015-certified manufacturing facility underscores our commitment to delivering high-end, reliable products. At Fluorotherm, we thrive on collaborating with diverse clients to develop advanced applications and enhance existing technologies. We are seeking a hands-on, Manufacturing Process Engineer to support and improve our plastics extrusion operations while contributing to R&D and custom heat exchanger projects. This role is ideal for a mechanical or chemical engineer with 2–3 years of experience who thrives in a fast-paced manufacturing environment and is eager to learn, troubleshoot, and implement practical improvements on the floor. This position will focus on quality control, process optimization, and applied R&D, with significant interaction with production teams. Key Responsibilities Quality Control & Process Improvements (30%) • Evaluate and recommend new QC equipment and measurement technologies, • Develop, document, and implement Standard Operating Procedures (SOPs), • Train operators and staff on quality standards and inspection protocols, • Review and approve inspection reports to ensure compliance, • Work directly with operators to troubleshoot and improve extrusion processes, • Diagnose, repair, and optimize extrusion line components, including:, • Calibrators, • Vacuum tank components, • In-line measurement systems, • Review customer inquiries and translate requirements into practical technical designs, • Support quoting by developing preliminary engineering concepts, • Generate and issue Manufacturing Orders (MOs) for production, • Conduct R&D on new and existing resins for extrusion applications, • Explore and implement new technologies (including AI and advanced tools) to improve quality and efficiency, • Support medical and specialty product development projects as needed, • Ensure new processes are documented and standardized via SOPs Qualifications Required • Completed minimum Bachelor’s degree in Mechanical Engineering or Chemical Engineering, • 2+ years of experience in plastics extrusion (strongly preferred), • Working knowledge of quality control processes and measurement tools, • Hands-on problem-solving ability in a manufacturing environment, • Ability to work cross-functionally with operators, production, and management, • US Work authorization Preferred • Experience with process improvement / lean manufacturing, • Familiarity with resin behavior and extrusion parameters, • Exposure to custom manufacturing or engineered products, • Experience designing or supporting industrial equipment or systems

Job DescriptionBenefits: • 401(k), • Bonus based on performance About Us Lightning Mechanical is a trusted HVAC contractor serving New Jersey and the greater Tri-State area since 2005. We specialize in commercial, industrial, and multi-tenant HVAC services. Our expertise spans repair, maintenance, installation, and custom sheet metal fabrication. We provide factory-trained service, installation, and maintenance for Daikin VRV and Applied systems, along with many other VRF manufacturers setting us apart as a leader in the region. We are positioned for continued growth and are seeking a senior-level Estimator who can play a critical role in driving profitability and ensuring accurate project forecasting. Position Summary The Senior HVAC Estimator will be a key contributor to Lightning Mechanicals growth strategy. This individual will be responsible not only for preparing accurate bids but also for shaping the companys estimating processes, guiding project selection, and contributing to overall business development strategy. This is a high-impact role suited for a seasoned professional with the expertise to influence margins and secure profitable work for a growing company. Responsibilities • Lead the full estimating process for commercial and industrial HVAC projects, from review of specs/drawings to final bid submission., • Develop detailed cost breakdowns including labor, equipment, subcontractors, and materials., • Partner with leadership to evaluate project opportunities, ensuring bids align with strategic growth objectives., • Provide value engineering solutions to keep bids competitive without compromising quality., • Build and maintain strong vendor and subcontractor networks to secure competitive pricing., • Standardize and improve estimating procedures and tools to drive efficiency and consistency., • Support business development by providing pricing insights and participating in client-facing discussions as needed., • Assist with AIA billing and project documentation as required. Qualifications • Minimum 10 years of experience in HVAC estimating, with a proven track record in commercial and industrial projects., • Strong understanding of HVAC systems, equipment, and construction practices., • Familiarity with AIA billing processes (preferred)., • Demonstrated ability to influence project selection and contribute to profitability strategies., • Proficiency in estimating software and Microsoft Office Suite., • Excellent communication and negotiation skills, with the ability to work cross-functionally with leadership, PMs, and clients., • Highly organized, detail-oriented, and comfortable working in a fast-paced environment. Compensation & Benefits • Competitive salary: $110,000 $150,000 per year, commensurate with experience., • Health, dental, and vision insurance options., • 401(k) retirement plan., • Paid time off and holidays., • Career growth opportunities in a company on track for continued expansion.

To apply, please send the following to • Your resume / CV, • A short blurb introducing yourself and explaining why you are a good fit for the Hive, and confirming which location your're applying to (New York or London). Keep it short & real, no need for a fancy cover letter!, • Links to anything cool you’ve built with AI for work, school, or even just on your own time Position Overview The AI Hive is TowerBrook’s new fellowship for applied AI builders. This is not an analyst program and it is not a consulting role. Fellows do not produce slides about what AI could do. Fellows train intensively inside TowerBrook for six months, with the opportunity to progress into a twelve-month embed inside one of our portfolio companies as an Applied AI Engineer, working directly with CEOs and operating teams to ship AI-native solutions that move real numbers. The fellowship runs in two phases. In Phase 1 (six months), fellows are based at TowerBrook in New York or London, training with leading external AI partners and shipping high-priority internal projects across the firm. Fellows who excel in Phase 1 are considered for Phase 2 (twelve months): a full-time, onsite embed inside a TowerBrook portfolio company, working in person alongside the management team and reporting to the CEO, CTO, or Head of AI, and delivering milestone-based work with measured business outcomes. Fellows in this first cohort will have a unique opportunity to shape how TowerBrook builds and deploys AI talent across the portfolio Responsibilities Phase 1. Inside TowerBrook (Months 1 to 6) • Complete a three-week intensive training program with a leading AI-native training partner, covering prompt engineering, agent architecture, Claude Code and other coding assistants, workflow automation (n8n, Lovable), Python, and enterprise AI governance., • Pair with internal devs and senior engineers from best-in-class applied AI firms on live TowerBrook projects, shipping working prototypes within the first six weeks., • Lead at least two internal builds with named senior sponsors as business owners. Projects may span front, middle, or back office (investment teams, operations, finance, IR, compliance, knowledge management) depending on firm priority. Deliver shipped output, not recommendations., • Contribute to the shared Hive knowledge base (reusable agents, templates, playbooks) that compounds across future cohorts. Phase 2. Portfolio Company Assignment (Months 7 to 18) • Match into a portfolio company across TowerBrook verticals based on fit, and relocate as needed to work onsite at the company’s primary office for the duration of the twelve-month embed. Matching is jointly led by the Program Lead, the senior program sponsor, and TowerBrook’s Technology Operating Partners., • Run a four-week diagnostic sprint: map workflows, validate pain points, and produce a twelve-month build roadmap signed off by the company CEO and the TCP sponsor., • Execute three to five milestone-based build sprints of eight to twelve weeks, each delivering measured output (hours saved, revenue uplift, cost reduction, new capability shipped)., • Report directly to the company CEO, CTO, or Head of AI, while retaining ongoing connectivity to TowerBrook for the duration of the engagement., • Attend monthly Hive-wide cross-pollination sessions with other fellows and coordinators. Document learnings for the Hive knowledge base., • At the close of the twelve-month deployment, transition into one of four paths: a full-time role at the portfolio company, redeployment to a second company, a role at TowerBrook, or release into the TCP alumni network. Professional Qualifications & Experience • One to three years of post-university experience in a builder role. We read “builder” broadly: software engineering, data, product, operations with automation exposure, quantitative research, consulting with hands-on implementation, or early-stage startups. Candidates with fewer than one year or more than three years of experience are out of scope for the pilot cohort., • A technical or quantitative undergraduate background is welcome: computer science, engineering, physics, applied mathematics, statistics, computational biology, industrial engineering, operations research, information systems, or quantitative economics. We will also consider non-technical majors with visible builder evidence such as a GitHub portfolio, shipped side projects, or published technical writing., • Fluency with modern AI tools. You already use Claude or ChatGPT daily as a core part of your workflow, not as a novelty., • Working proficiency in Python or another scripting language is a plus — enough to prototype end-to-end without supervision is ideal, but not required. Formal ML engineering or data science experience is not required and is not what we are optimizing for., • Demonstrated evidence of shipped work outside a structured environment: a side project, an automation built at a previous role that nobody asked for, a product used by real users, or published writing with an audience. What you built matters more than where you built it., • Right to work in the United States (for New York candidates) or the United Kingdom (for London candidates) is preferred. Visa support may be available for exceptional candidates. Personal Qualifications • Stakeholder presence. At ease working with a company CEO or a TowerBrook partner, approaching business problems with curiosity and humility., • AI-native instinct. You reach for AI tools naturally during ideation and problem solving., • Builder disposition and bias for action. You try things rather than endlessly plan, and you pick up new tools quickly, including things outside your formal training., • Written communication. You can produce a crisp one-pager that a senior partner or a company CFO will actually read. Compensation & Benefits of working at TowerBrook • The base salary range for this role is $130,000 – $150,000. Compensation also includes eligibility for a discretionary annual bonus and a competitive benefits package, • Intensive applied AI training with a curated set of leading external partners across AI-native education and applied engineering, • Direct mentorship from senior TowerBrook partners, Technology Operating Partners, and portfolio company CEOs, • Guest seminar program featuring frontier AI lab teams, applied AI practitioners, and high-signal technical writers, • Clear post-fellowship pathways: full-time hire at the portfolio company, full-time role at TowerBrook (Applied Engineer, investment associate, or Hive coordinator), redeployment to a second portfolio company, or release into the TCP alumni network, • Access to cutting-edge AI tooling and early-access relationships with leading AI labs through TowerBrook’s partner networks, • A collaborative, entrepreneurial culture within a globally respected investment firm

Job Description Maven is the world's largest virtual clinic for women and families on a mission to make healthcare work for all of us. Maven's award-winning digital programs provide clinical, emotional, and financial support all in one platform, spanning fertility & family building, maternity & newborn care, parenting & pediatrics, and menopause & midlife. More than 2,000 employers and health plans trust Maven's end-to-end platform to improve clinical outcomes, reduce healthcare costs, and provide equity in benefits programs. Recognized for innovation and industry leadership, Maven has been named to the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, Maven has raised more than $425 million in funding from top healthcare and technology investors including General Catalyst, Sequoia, Dragoneer Investment Group, Oak HC/FT, StepStone Group, Icon Ventures, and Lux Capital. To learn more about Maven, visit us at mavenclinic.com. An award-winning culture working towards an important mission – Maven Clinic is a recipient of over 30 workplace and innovation awards, including: • Fortune Change the World (2024), • CNBC Disruptor 50 List (2022, 2023, 2024), • Fortune Best Workplaces for Millennials (2024), • Fortune Best Workplaces in Health Care (2024), • TIME 100 Most Influential Companies (2023), • Fast Company Most Innovative Companies (2020, 2023), • Built In Best Places to Work (2023), • Fortune Best Workplaces NY (2020, 2021, 2022, 2023, 2024), • Great Place to Work certified (2020, 2021, 2022, 2023, 2024), • Fast Company Best Workplaces for Innovators (2022) This role goes beyond people management — we're seeking a true fertility benefits expert who can take ownership of complex financial and insurance escalations. You will serve as a key subject matter expert on fertility-related billing issues, out-of-network claims, insurance coordination, and member financial tracking, driving timely and equitable solutions for our members, employers, and payer partners. You'll play a pivotal role in shaping team culture and building scalable processes that ensure we continue delivering high-quality, empathetic care to members on their family-building journeys. We're looking for someone who is ready to roll up their sleeves, solve problems alongside their team, and inspire high performance through compassionate leadership. The Member Services team supports members seven days a week; therefore, occasional weekend coverage is expected. This position is Monday through Friday, 9:00 AM–5:00 PM EST, with occasional weekend coverage as needed As a Manager, Member Benefit Services at Maven, you will: • Be the ultimate people manager. Conduct regular one-on-ones, performance reviews, and development planning to promote employee growth and high-impact performance across a team of Member Services Associates and Senior Associates., • Act as the primary escalation point for member issues and complex fertility-related financial and billing issues, driving problems to resolution while managing communication with key stakeholders., • Learn the ins and outs of Maven's business and the day-to-day Member Benefit Services team responsibilities, diving in to directly master our various communication channels and reimbursement processes., • Lead by example to ensure a culture focused on empathetic care, ensuring that the needs of our members are met in an exceptional manner., • Directly answer member inquiries on inbound/outbound calls and Zendesk messages in times of high volume or during staffing gaps., • Use your continuous improvement mindset to define and iterate on processes, making positive enhancements to drive efficiency, value, and accountability toward KPIs., • Ensure team performance metrics are met; including but not limited to: productivity, response time, NPS, and CSAT., • Report on MBS team metrics, KPIs, OKRs, to the director of MBS as well as cross functionally., • Facilitate the team's alignment with broader organizational objectives and effectively lead through change., • Review, maintain, and create MBS team SOPs, workflows, and communications to the team to ensure understanding and alignment on MBS team processes., • Collaborate cross-functionally with our Care Delivery/Advocacy, Support, Operations, Product, Data, Provider Operations, Payment, Engineering, and Client Success teams., • Coordinate new hire training and take an active role in the success of new employees during onboarding and training., • 5–7 years of experience in Customer Service Operations, including team leadership roles, • 3+ years of experience managing teams of 10+ in a service/support environment, • 2+ years of direct experience resolving complex fertility financial and benefits billing issues, including coordination with payers and employer-sponsored benefit plans., • 1–3 years of experience in managed healthcare, insurance, or employer benefits., • Strong track record of mentoring and coaching team member, • Flexibility and experience managing in fast-paced, high-growth environments., • Experience managing inbound and outbound call support, email or app-based written support., • Track record of driving improvement with impactful and measurable results., • Demonstrated ability to analyze performance metrics to identify trends, root causes, and improvement opportunities; uses data-driven insights to proactively solve problems and drive operational excellence., • A strong sense of empathy applied to direct reports, members, and cross functional business partners., • Savvy business judgment and the ability to support data-driven, results-oriented decision-making., • Experience in motivating a team to achieve KPIs, drive efficiency, and managing change., • Experience working in a fast-paced startup environment., • Experience in Zendesk is a plus., • Prior experience managing payments., • Bachelor's degree or equivalent experience., • Verbal and written fluency in Spanish. This role requires active work authorization in the US. Maven embraces a flexible and inclusive work environment. This role is open to candidates in: AZ, CA, CO, CT, DC, DE, FL, GA, HI, IL, IN, KS, MA, MD, ME, MI, MN, MO, NC, NH, NJ, NM, NV, NY, OH, OR, PA, RI, SC, TN, UT, VA, VT, WA, WI. Maven is committed to supporting remote team members with the tools and collaborative culture needed to thrive regardless of location. This policy reflects our belief that great work can happen anywhere and that flexibility enables our team to do their best work. At Maven we believe that a diverse set of backgrounds and experiences enrich our teams and allow us to achieve above and beyond our goals. If you do not have experience in all of the areas detailed above, we hope that you will share your unique background with us in your application and how it can be additive to our teams. Benefits That Work For You Our benefits are designed to support your health, well-being and career development, helping you thrive both personally and professionally. We remain focused on providing a competitive benefits package for our employees. On top of standards such as employer-covered health, dental, and insurance plan options, we offer an inclusive approach to benefits: • Maven for Mavens: access to the full platform and specialists, including care for mental health, reproductive health, family planning and pediatrics., • Whole-self care through wellness partnerships, • Hybrid work, in office meals, and work together days, • 16 weeks 100% paid parental leave and new parent stipend (for Mavens who've been with us for 1 year+), • Annual professional development stipend and access to a personal career coach through Maven for Mavens Maven is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. Maven is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Maven Clinic interview requests and job offers only originate from an @mavenclinic.com email address (e.g ). Maven Clinic will never ask for sensitive information to be delivered over email or phone. If you receive a scam issue or a security issue involving Maven Clinic please notify us at: . For general and additional inquiries, please contact us at .

Job Description We are seeking a Senior Data Scientist to lead Marketing Mix Modeling (MMM) and conversion/attribution analytics end-to-end. You will build the models, ship the pipelines working with Data Engineers, and work directly with Sales, Strategy & Insights, and Planning teams to turn measurement into revenue. This is not a research engagement – we need someone who has shipped MMM and statistical models to production systems, influenced real ad spend decisions, and who can hold their own in a room with both Data Scientists and Ad Sales leaders. Required Skills & Experience • 7+ years of applied data science experience, with at least 4 years focused on MMM and marketing/media measurement, • Production ownership: you have built and shipped data pipelines and model-serving integrations – not just notebooks handed off to engineering (be ready to talk through specific systems you have put into production and the business outcomes they drove), • Strong Python/R and SQL skills; experience using modern data stack (cloud data warehouses, orchestration frameworks, version control, CI/CD), • Demonstrated experience with incrementality testing, lift studies, and MTA, including the messy parts: test design, power analysis, reconciling conflicting signals across methodologies, • Experience with at least one major MMM framework, such as Meridian, PyMC, Robyn, or LightweightMMM, and can speak to the tradeoffs in going with a bespoke model versus using such frameworks, • Proven ability to own stakeholder communication end-to-end: presenting to senior internal leadership (VP+), agencies, and clients without needing a layer of translation (you move swiftly between a Bayesian prior conversation and a channel-mix recommendation conversation without skipping a beat), • Able to work hybrid from our NYC office (4 days/week) Nice to Have Skills & Experience Strongly Preferred: • Prior experience at a publisher, broadcaster, streaming platform, ad-tech company, or agency/measurement firm working on media-side measurement, • Familiarity with ACR data, set-top box data, or digital/streaming viewership data, • Experience working with 3P conversion/outcome data providers (NIQ, Polk, EDO, or similar), • Exposure to both pre-sales (research, planning, recommendation) and post-sales (outcomes, renewal) measurement workflows, • GCP experience (BigQuery, Vertex AI, Composer) Compensation: $65/hr to $68/hr. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Job DescriptionUpskills provides expert financial software consulting for investment banks and leading financial institutions in Asia Pacific, Middle East and Europe region. With a strong, Front to Back expertise of cash and derivatives markets, coupled by an in-depth knowledge of financial markets technologies, we provide smart, business-wise, and efficient solutions. We are seeking highly-motivated Murex Front Office Trading Consultants to be based in New York with good knowledge and experience with Fixed Income to to work in a client-servicing role to drive one of our client’s global system implementations. As Trading Consultant, you will play a crucial role in supporting the Front Office trading systems used by our cash equity trading desk. Additionally, you are not limited to: • Analyze business processes and functional requirements, perform gap analysis between existing and required solutions to drive the delivery of relevant user requirements documentation., • Collaborate with technology teams to design and implement enhancements to the trading systems., • Work with the users to test, achieve sign-off (UAT), and move the system toward go-live., • Provide day-to-day support to Front Office traders, addressing their queries and issues related to the trading systems. Requirements • Master's or Bachelor's Degree, preferably from Quantitative Finance, Applied Finance, Business Analysis, Financial Engineering, Computer Science or relevant discipline., • Possess working experience on Murex Front Office (Pricing, Simulation, Pretrade)., • Sound knowledge & functional experience on at least 2 asset classes. E.g. FX, MM, FIX, IRD., • Experience in the implementation or support of a Front Office system within a bank., • Able to work in a team environment, focused on providing high quality of service to the client., • Excellent interpersonal skills, able to handle priorities and manage business expectations., • Strong and demonstrable problem solving/analytical skills.

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

🚀 Agentic AI Engineer🚀 ✨Series A Fintech Start-Up ✨ 💎Equity you WILL realise💎 📍 Manhattan, New York 💸 $200k - $300k depending on level 🧩 $160k equity vested over 4 years 🚨 This is a career-defining role 🚨 This role sits inside one of the fastest-growing Series A Fintech start-ups, building production-grade agentic systems for complex, high-stakes enterprise workflows. The business has scaled at exceptional speed, closed a record-breaking Series A at the end of last year, and is now focused on building an elite engineering team to own the core AI infrastructure end-to-end. 💪 The Environment • Exceptional, high-performing teams, • Engineers work directly with founders daily, • No layers, no slow approvals, no hand-offs The intensity is deliberate. The aim is compression: • Faster learning curves, • Faster iteration cycles, • Faster ownership and decision-making 🧩 What You’ll Actually Be Building You will own and drive large portions of the AI agent infrastructure, from design through to production deployment. • Designing and deploying multi-agent systems, • Building and integrating RAG pipelines, • Creating evaluation frameworks (evals) to measure accuracy, reliability, and safety, • Shipping AI-powered features used by real enterprise customers, • Building backend services and APIs (Python, Django / FastAPI preferred), • Working across the stack — APIs, databases, infrastructure, and deployment pipelines, • Ensuring systems are scalable, performant, and secure in production 🧠 Who This Is For You’ll likely have: • Foundational software engineering experience, • Hands-on experience designing and deploying AI systems into production, end-to-end, • Strong backend engineering skills (Python), • Experience with relational databases, Redis, task queues, and background workers, • Familiarity with Docker, Kubernetes, and modern cloud infrastructure, • Experience with RAG, agent orchestration, and LLM evaluation techniques, • A high tolerance for ambiguity and shifting priorities 🏆 Why Exceptional People Say Yes Top engineers don’t optimise for comfort — they optimise for trajectory. • Talent density permanently raises their bar, • Founder access is direct and unfiltered, • One year of learning feels like several elsewhere, • The experience compounds long after they leave Then this is one of the most compelling Applied AI Engineering opportunities globally right now. #AIjobs #AIhiring #startup

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

Title: Intermediate Architect | Deputy Design Manager Overview: This is a multi-billion-dollar Design-Build program by the NYC Department of Design and Construction (DDC) to construct four new buildings across four boroughs. Responsibilities: The Deputy Design Manager must possess excellent communication and team building skills and the ability to work proactively, independently, collaboratively, and with full transparency, as required by the DDC and the projects. The Deputy Design Manager will be responsible for supporting the Design Manager in ensuring the delivery of the building designs by the selected Design-Build team. You will manage and instruct the selected Design-Build team, in collaboration with internal and external design consultants, and report project progress to DDC. Responsibilities include: • Support the Design Lead in ensuring that all designs and systems are designed in compliance with defined project requirements and goals., • Support the delivery of the work packages to the required scope, quality, schedule and cost., • Assist in the coordination of design submittals, design presentations, and design charrettes reviews with internal project stakeholders., • Assist in the management of the design review process with authorities having jurisdiction., • Support the evaluation of design-builder progress against scope, quality, schedule cost and implement corrective action as needed., • Assist in the management of the multidisciplinary design elements of the buildings, tracking designer technical performance and making appropriate technical responses., • Assist in coordinating Subject Matter expert advice., • Provide technical design guidance and review integration of the designs with other design packages., • Assist in ensuring that the design documentation covers the scope of work required by the Client and is produced to agreed standards, schedule and budget., • Assist in planning for effective project implementation, identifying key issues and effectively contribute to the project’s technical planning process., • Assist in ensuring that the processes and activities being managed are appropriately documented with appropriate records maintained and quality controls applied. Qualifications: • Strong problem recognition and proactive resolution skills, • Strong organizational skills, • Ability to regularly work independently and as part of a team, • 5+ years of relevant experience, • Bachelor’s degree in Architecture, Engineering, Construction or a relevant field of study, • Previous experience working with New York City agencies preferred, • Strong verbal and written skills in a client-facing capacity, including high level political acumen, • A demonstrated commitment to continuous focused learning and skill development, including emerging technologies and tools, • Ability to maintain discretion and confidentiality at all times

Job DescriptionDirector, Deployment Strategist (Applied AI / Healthcare / Regulated Data) Location: U.S. (Remote) or major hub (hybrid optional) Type: Full-time Seniority: Mid–Senior (player/coach) Start: As soon as available Beacon Talent is conducting a confidential search for a venture-backed technology company building an applied AI platform used by teams developing models in regulated, data-intensive environments (e.g., healthcare and adjacent domains). The platform helps customers evaluate performance, operationalize evidence, and streamline adoption with rigorous data workflows and domain-expert guidance. The Opportunity This role owns a portfolio of the company’s most strategic customers—many of whom are technical AI teams—ensuring projects launch smoothly, deliver measurable outcomes, and expand into long-term partnerships. You’ll sit at the intersection of customer success, program delivery, and product influence, partnering closely with Engineering, Data, Product, and Leadership. What You’ll Do Own high-stakes customer programs * Lead end-to-end delivery for complex, multi-workstream engagements—from kickoff through final readout and ongoing expansion. * Translate ambiguous customer needs into clear scopes, milestones, success metrics, and deliverables. Run cross-functional execution (and jump in when needed) * Coordinate internal teams (Product, Data, Engineering, Operations) to hit timelines and quality bars. * Unblock execution, surface risks early, and drive resolution—occasionally getting hands-on with artifacts like analysis plans, evaluation summaries, or workflow specs. Be the primary customer interface * Manage executive-level relationships and day-to-day stakeholders. * Set communication cadence, run steering check-ins, handle escalations, and ensure crisp alignment. Convert insights into product leverage * Synthesize customer feedback into scalable improvements: repeatable processes, templates, playbooks, and product roadmap inputs. * Partner with Product to shape what becomes “standard” vs. bespoke. Drive retention and growth * Own renewal readiness, account health, and expansion opportunities. * Identify upsell paths tied to value (new datasets, evaluation modules, workflow automation, added sites/teams, etc.). What Success Looks Like (First 6–12 Months) * Customer programs are delivered on-time, with clear outcomes and high satisfaction. * You’ve built repeatable delivery motions that reduce rework and improve predictability. * Key accounts expand through renewals + additional scope, driven by demonstrated impact. * Internal teams feel you are a reliable “quarterback” who brings clarity, prioritization, and calm execution. What You Bring (Required) * 6+ years in a client-facing role: customer success, strategic account management, solutions consulting, engagement management, or similar. * Demonstrated strength in program/project management across cross-functional technical teams. * Comfort working with complex data products (structured + unstructured; bonus for imaging, time-series, waveforms, or multimodal pipelines). * Ability to bridge technical and non-technical conversations—credible with ML/engineering and effective with senior executives. * Track record of driving retention and expansion (renewals, upsell, multi-year partnerships, or growth in account scope). * Highly organized, proactive, and effective in fast-moving, build-as-you-go environments. Nice to Have * Experience in regulated AI (healthcare, life sciences, fintech, insurance, public sector, etc.). * Familiarity with evaluation/validation concepts (model performance studies, monitoring, data quality frameworks, evidence generation). * Exposure to regulatory, compliance, or procurement considerations that influence adoption. * Prior work supporting consortium-style initiatives, research collaborations, or multi-stakeholder programs. Compensation & Benefits Competitive base + performance upside + equity (details shared in process), plus comprehensive benefits.

Our Engineering team is seeking a candidate to lead the design and development of AI-powered test automation capabilities across the organization. This role will leverage AI and LLM technologies to fundamentally transform how functional, regression, and integration testing is created, maintained, and executed. We are looking for someone who combines strong quality engineering fundamentals with a passion for AI-driven development. The successful candidate will define the strategy for AI-powered test automation, build frameworks that use AI to generate and maintain test suites, and establish standards that ensure consistent quality across applications. Key Responsibilities: Test Automation & AI Integration • Design and build AI-powered test automation frameworks that leverage LLMs to generate, execute, and maintain test cases for functional, regression, and integration testing, • Develop AI-driven approaches to analyze application code and automatically generate meaningful test coverage, • Build and maintain reusable automation components that integrate AI capabilities into existing test pipelines, • Create self-healing test suites that use AI to adapt to application changes and reduce maintenance overhead Strategy & Standards • Define the overall strategy and roadmap for AI-powered quality engineering across the organization, • Establish standards for test automation quality, coverage thresholds, and AI-generated test validation, • Evaluate and integrate AI/LLM tools into the testing lifecycle, assessing their reliability and enterprise fit, • Define best practices for prompt engineering in the context of test generation and validation, • Track and report on the effectiveness of AI-driven testing compared to traditional approaches Collaboration • Partner with agentic code development and AI tooling teams to ensure quality is embedded throughout the AI-powered SDLC, • Work with development teams to integrate AI-driven testing into their CI/CD pipelines, • Collaborate with InfoSec and compliance teams to ensure AI-generated tests meet enterprise requirements, • Share knowledge and best practices across teams, building organizational capability in AI-powered testing Required Experience • Extensive experience in quality engineering, test automation, or software development in an enterprise environment, • Demonstrated experience building and maintaining test automation frameworks, • Strong programming background in multiple languages (Python, JavaScript/TypeScript, Java, etc.), • Experience with AI/LLM tools and platforms (Claude, ChatGPT, Copilot, or similar), • Fluency with Agile delivery methodologies and Test-Driven Development (TDD), • Experience integrating test automation into CI/CD pipelines Technical Skills • Deep knowledge of test automation frameworks and tools (Selenium, Playwright, Cypress, or similar), • Understanding of prompt engineering principles applied to test generation and validation, • Experience with API testing, contract testing, and integration testing patterns, • Familiarity with AI agent frameworks and how they can be applied to testing workflows, • Knowledge of DevOps practices and CI/CD tooling, • Strong technical troubleshooting and problem-solving skills Preferred • Hands-on experience with Claude Code or similar AI development tools, • Experience with MCP (Model Context Protocol) integrations Soft Skills • Ability to define and communicate a technical vision for AI-powered quality engineering, • Strong analytical mindset - able to evaluate AI-generated outputs critically, • Self-directed with ability to work independently while collaborating across teams, • Ability to learn quickly in the fast-moving AI space, • Strong written and verbal communication skills Education • Bachelor's or Master's degree in Computer Science, Information Systems, or related technical field

Job Description We are sharing a specialised part-time consulting opportunity for professionals fluent in Mandarin Chinese and English, with strong STEM knowledge, technical translation judgment, linguistic review skills, and structured quality evaluation experience. This role supports current and upcoming remote consulting opportunities focused on structured STEM translation review, Chinese-language quality assessment, technical accuracy evaluation, reference response writing, and high-quality project execution. Selected professionals will apply their language and STEM expertise to review translated science, technology, engineering, and mathematics content, evaluate translation quality, and support accurate, natural, technically sound Chinese-language outputs. Key Responsibilities Professionals in this role may contribute to: STEM Translation Review & Quality Assessment • Review Chinese-language translations of STEM questions, answers, explanations, and technical content, • Evaluate translations for technical accuracy, linguistic quality, clarity, fluency, and natural Mandarin usage, • Compare translated responses and determine which version is stronger based on meaning, precision, terminology, and readability, • Write reference responses in Chinese when needed, ensuring they are accurate, clear, and technically sound, • Apply STEM knowledge to preserve scientific, mathematical, engineering, or technology-related meaning across languages, • Support review of technical explanations involving formulas, concepts, problem-solving steps, scientific reasoning, or domain-specific terminology, • Follow detailed task instructions and apply review criteria consistently, • Evaluate both language quality and subject-matter accuracy in each translated response, • Support flexible, task-based review workflows involving Mandarin-language STEM content Strong candidates may have: • Native or near-native fluency in Mandarin Chinese, • Professional working proficiency in English, • Strong STEM background through academic study, professional work, research, teaching, tutoring, or technical review experience, • Ability to evaluate both technical correctness and natural Chinese-language expression, • Strong attention to detail and ability to make clear quality judgments, • A degree or professional background in science, engineering, mathematics, technology, computer science, statistics, physics, chemistry, biology, or a related STEM field is helpful, • Experience with translation review, localization, linguistic QA, technical editing, annotation, or language evaluation, • Familiarity with STEM terminology in both English and Mandarin Chinese, • Experience writing or reviewing technical explanations, educational content, scientific answers, or math/science problem solutions, • Background in AI evaluation, data annotation, language model review, or applied research workflows, • Apply Mandarin Chinese fluency and STEM expertise to structured remote project work, • Contribute to high-quality translation review, technical accuracy assessment, and Chinese-language evaluation workflows, • Work on flexible assignments aligned with your language and technical background, • Use your linguistic and scientific judgment in a focused, detail-oriented review environment, • Independent contractor role, • Fully remote with flexible scheduling, • Task-based commitment depending on project availability, • Typical tasks may take approximately 1.25 hours depending on scope, • Competitive rates between $80–$100 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .

Job Description We are sharing a specialised part-time consulting opportunity for professionals fluent in Latin American Spanish and English, with strong STEM knowledge, technical translation judgment, linguistic review skills, and structured quality evaluation experience. This role supports current and upcoming remote consulting opportunities focused on structured STEM translation review, Spanish-language quality assessment, technical accuracy evaluation, reference response writing, and high-quality project execution. Selected professionals will apply their language and STEM expertise to review translated science, technology, engineering, and mathematics content, evaluate translation quality, and support accurate, natural, technically sound Spanish-language outputs. Key Responsibilities Professionals in this role may contribute to: STEM Translation Review & Quality Assessment • Review Spanish-language translations of STEM questions, answers, explanations, and technical content, • Evaluate translations for technical accuracy, linguistic quality, clarity, fluency, and natural Latin American Spanish usage, • Compare translated responses and determine which version is stronger based on meaning, precision, terminology, and readability, • Write reference responses in Spanish when needed, ensuring they are accurate, clear, and technically sound, • Apply STEM knowledge to preserve scientific, mathematical, engineering, or technology-related meaning across languages, • Support review of technical explanations involving formulas, concepts, problem-solving steps, scientific reasoning, or domain-specific terminology, • Follow detailed task instructions and apply review criteria consistently, • Evaluate both language quality and subject-matter accuracy in each translated response, • Support flexible, task-based review workflows involving Spanish-language STEM content Strong candidates may have: • Native or near-native fluency in Latin American Spanish, • Professional working proficiency in English, • Strong STEM background through academic study, professional work, research, teaching, tutoring, or technical review experience, • Ability to evaluate both technical correctness and natural Spanish-language expression, • Strong attention to detail and ability to make clear quality judgments, • A degree or professional background in science, engineering, mathematics, technology, computer science, statistics, physics, chemistry, biology, or a related STEM field is helpful, • Experience with translation review, localization, linguistic QA, technical editing, annotation, or language evaluation, • Familiarity with STEM terminology in both English and Latin American Spanish, • Experience writing or reviewing technical explanations, educational content, scientific answers, or math/science problem solutions, • Background in AI evaluation, data annotation, language model review, or applied research workflows, • Apply Latin American Spanish fluency and STEM expertise to structured remote project work, • Contribute to high-quality translation review, technical accuracy assessment, and Spanish-language evaluation workflows, • Work on flexible assignments aligned with your language and technical background, • Use your linguistic and scientific judgment in a focused, detail-oriented review environment, • Independent contractor role, • Fully remote with flexible scheduling, • Task-based commitment depending on project availability, • Typical tasks may take approximately 1.25 hours depending on scope, • Competitive rates between $45–$60 per hour depending on expertise, • Weekly payments via Stripe or Wise, • Projects may be extended, shortened, or adjusted depending on scope and performance This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams. By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: .

Business Area: Sales Engineering Seniority Level: Mid-Senior level Job Description: At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world's largest enterprises. As the world generates even more volumes of data, from any device or thing, companies are discovering the need to gain immediate insights from their data by studying recurringtrends and patterns over time,and staying competitive by implementing predictive actions for their business that willyieldpositive outcomes. Cloudera's CDP Platform enables customers to harness those volumes of increasingly valuable data by securely hosting data lakes and efficiently managing data analytics & computing workloads between public clouds and private cloud solutions in data centers. As aCloudera Solutions Engineer, you will help customers be successful in deploying the CDP platform. You will utilize your strong technical skills, business competencies and customer service orientation, provide the highest level of solution design, and deliver technical value to sales teams, prospects and customers, to support sales goals. Job Responsibilities: * Create and deliver customer-centric solution designs, proposed architectures and business outcomes to all levels - developers, architects, CTO, and CIO * Work with cross-functional teams including Sales, Marketing, Product Management, Services, Support, Training, and Engineering to share Cloudera's Vision with customers * Advise customers on use case patterns through discovery and requirements workshops * Transform customer feedback into actionable product roadmap items * Work with teammates and management to define technical selling strategy * Participate within the Cloudera community, share evangelism activities (blogs, meetups, industry events), and contribute to internal and external knowledge repositories Qualifications: * 5+ years of professional work experience in a similar position, selling solutions to business leaders and technical champions in the enterprise. * You have strong experience with AI ecosystems (Agentic AI, Ethical AI solutions, Generative AI solutions and AI Development Tools like Cursor, CoPilot and Claude). * You have demonstrated problem solving and analytical skills. * You have experience in Solution Architecture/Engineering as a field of practice (an ability to listen to customer requirements, whiteboard and propose solution architectures, and be hands-on with the tech) to design, build, and demonstrate real business value * You have experience with the Apache Hadoop ecosystem (HDFS, YARN) and related components (Spark, Hive, Impala, Kudu, Solr, etc.) and can talk to the benefits of a centralized architecture for bothdata management and data access * You have experience with public cloud infrastructures (AWS, Azure, GCP, IBM Cloud, etc.) You have an interest in achieving your public cloud certification. * You have experience with the Linux OS and bare metal, VM, and distributed container platforms Kubernetes or OpenShift. You may have some experience with specific private cloud infrastructures (Server Hardware, Storage, Networking). * You have some experience of the formation of Data Lakes, principles of Data Warehousing, SQL and relational database patterns, and application integration * You have some knowledge of differentiators across the competitive landscape * You have some basic software development experience in Java, Scala or Python * You may have experience with Data Flow, Queues and Stream Processing (Nifi,Kafka, Flink, Spark) in enterprise applications * You have an interest in Data Science and understand the difference between Data Engineering and Applied Science * You care about your colleagues, and you will get the job done together. You are passionate about what you do and inspire people around you * Bachelor's Degree or equivalent experience in a Technical Field Bonus Skills: * You understand the challenges in operations and integration of enterprise platforms for Security and Data Governance in the enterprise * Experience with, and interest in, open-source software and development practices * NoSQL or Operational-DB experience (HBase, Phoenix, Accumlo, Druid, Cassandra, MongoDB, etc.) Maybeyou can even debate one option over another? * EDW experience - Teradata, Netezza, GreenPlum, Exadata Data Science and ML experience - (R, Python, Anaconda, Jupyter, Deep Learning Frameworks etc.) * Integration Products experience (Talend, DataStage, Informatica BDM, Qlik, Tableau, Zoomdata, Tibco, MuleSoft, IBM, Oracle, Spring Integration, etc.) The right person in this role has an opportunity to make a huge impact at Cloudera and add value to our future decisions. If this position has piqued your interest and you have what we described - we invite you apply! An adventure in data awaits. What you can expect from us: * Generous PTO Policy * Support work life balance with ___ * Flexible WFH Policy * Mental & Physical Wellness programs * Phone and Internet Reimbursement program * Access to Continued Career Development * Comprehensive Benefits and Competitive Packages * * Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

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. Deepgram is seeking a talented, support-focused Solutions Architect (Applied Engineer) to join our Applied Engineering (A

The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but. The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. Deployed E

The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. Deployed Engineers sit at the intersection of. The Deployed Engineer…You’ll work on some of the hardest problems in applied

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. You deploy Deepgram’s voice AI platform into complex restaurant environments and make it work in the real world. This role sits at the intersection of engineering, product, and customer systems, partnering closely with customer leadership and technical stakeholders to bring ambitious deployments to life. You embed with enterprise restaurant brands and restaurant technology partners, learn their systems deeply, and integrate our platform into the core of their operations. Along the way you write code, debug production issues, and adapt the platform to real world constraints. You operate as a trusted technical partner to both customer leadership and engineering teams, ensuring deployments move quickly and deliver meaningful business outcomes. You turn real world deployments into leverage for the entire platform by identifying patterns across customers, shaping product improvements, and building the tooling, reference architectures, and playbooks that make each new deployment faster, more reliable, and easier to scale across large restaurant fleets and technology ecosystems. The mission of this role is to ensure every enterprise deployment of Deepgram for Restaurants works like magic — technically flawless and delivering measurable value from day one. This role is based in New York City, 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 based in New York City, this would still be a remote-first opportunity, as we do not have an office local to the area. This role also includes up to 50% travel to meet with customers, support sales engagements, and participate in key onsite interactions * Customer engineering partnership: Embed with customer engineering teams as a trusted technical peer. Lead technical discovery and solutioning for prospects and customers. * Technical integration and deployment: Own the end-to-end technical implementation of Deepgram’s voice AI platform for enterprise customers — from scoping and architecture through go-live and optimization. * Configuration and customization: Adapt and configure Deepgram’s platform to meet each customer’s unique operational requirements — menu structures, ordering flows, POS integrations, edge cases, and everything in between. * Production excellence: Monitor, troubleshoot, and resolve technical issues in live deployments. Serve as an escalation point for complex technical issues when necessary. * Deployment infrastructure leadership: Codify patterns into tools, playbooks, reference architectures, and building blocks the broader team can use for other deployments and customers. * Feedback loop to product and engineering: Translate real-world deployment challenges into actionable requirements for Deepgram’s product and engineering teams. You are the voice of the customer inside the building. * You are hands-on. You write code, read logs, and ship fixes — you don’t just coordinate. When a customer has a technical problem, you roll up your sleeves and solve it. * You operate with extreme ownership and urgency. You treat every customer deployment as if your name is on the product. * You partner closely with Sales, Product, and Engineering, but you are just as comfortable on a customer’s Slack channel walking their team through an API integration. * Technical depth: You are an excellent software engineer. You are comfortable working across APIs, SDKs, webhooks, cloud infrastructure, and customer tech stacks. You use AI coding tools to move fast and multiply your output. * Customer obsession: Deep, personal commitment to your customers’ technical success. You take their problems home with you. You are not satisfied until the deployment is bulletproof. * High slope: Learns fast, adapts quickly, and stays effective in ambiguity without needing constant structure. You figure things out and move forward. You are excited to get your hands dirty solving gritty technical problems over sexy ones. * Communication and trust: Able to build deep credibility with both technical and non-technical stakeholders on the customer side. You are calm under pressure and relentlessly reliable. * Experience with voice AI, speech-to-text, NLP, or conversational AI systems. * Previous early-stage startup or founder-led environment experience — you thrive in environments where you wear many hats and build from zero. * Previous experience embedded within a large enterprise customer’s product deployment. * 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.

Associates of Applied Science from accredited college in Electronics Engineering or Computer Science with emphasis on Programming or equivalent experience and certifications. Electrical Control Engineer Dallas, NC. Experience level: Mid-senior Experience required: 10 Years Education level: Associate

$35 - $100/hourpayEViewsMacroeconomicsAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities • Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews., • Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts., • Automate forecasting workflows for efficiency and scalability within the modeling process., • Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders., • Document modeling approaches and results with precise, concise written reports., • Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations., • Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications • Extensive hands-on experience with EViews, including scripting and automation functionalities., • Proven expertise in building, estimating, and validating time-series models—especially VAR, VECM, ARIMA, and cointegration models., • Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures., • Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication., • Demonstrated success in automating modeling and forecasting workflows., • Ability to extract economic meaning from statistical outputs and present findings insightfully., • Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications • Advanced degree in Economics, Econometrics, Applied Statistics, or related field., • Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling., • Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).

Electrical Foreman -$120-$180 a day Per Diem This Jobot Job is hosted by: Brandon DeDeker Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $42 - $55 per hour A bit about us: This organization is a forward-thinking leader in construction, engineering, manufacturing, and renewable energy. It is committed to transforming how energy is designed, applied, and consumed—while growing strategically to meet evolving market demands. Recognized nationally for its employee wellness initiatives, the company fosters a “Culture of Care” that supports the physical, mental, and emotional well-being of its team members. Why join us? • Employee Well-Being: Named one of the Healthiest 100 Workplaces in America, with programs focused on holistic wellness., • Innovation-Driven: Actively redefines energy and infrastructure solutions through cutting-edge technologies and integrated delivery models., • Growth-Oriented: Offers opportunities to work on impactful projects across commercial and industrial sectors., • Supportive Culture: Encourages mentorship, collaboration, and continuous learning. Job Details The Licensed Foreman oversees electrical installations, maintenance, and troubleshooting in commercial and industrial environments. This role includes supervising crews, ensuring safety compliance, and managing project execution from layout to completion. Key Responsibilities • Lead medium-sized crews (5–10 electricians) and set performance expectations., • Ensure projects are completed safely, on time, and within budget., • Maintain licensing and training requirements., • Manage tools, equipment, and staffing resources effectively., • Interpret project estimates and assist with layout and installation., • Complete documentation such as logs, evaluations, and time cards., • Conduct safety audits and enforce jobsite safety protocols., • Mentor and coach crew members using structured feedback processes., • Collaborate with internal departments and utilize company resources for project support., • Maintain compliance with company policies and coordinate with HR as needed., • Foster strong customer relationships through effective problem-solving. Education: Completion of an apprenticeship or equivalent work experience (8,000 hours) Travel: 60-75% Work Schedule: Between the hours of 6 am to 6 pm, Monday through Friday. May vary based on customer demands and can include, but is not limited to: nights, weekends, and holidays. Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

We're seeking a Senior Product Manager to own and evolve a critical part of our Relationship Commerce platform, one that sits at the intersection of ecommerce infrastructure, subscription intelligence, and applied AI. You'll earn trust across Product, Engineering, GTM, and Operations, and contribute

The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. Deployed Engineers sit at the intersection of. The Deployed Engineer…You’ll work on some of the hardest problems in applied

Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field. Stay up-to-date with the latest developments in data science, machine learning, and artificial intelligence, and apply new technologies and techniques to sol

ALL APPLICATIONS MUST BE SUBMITTED THROUGH OUR CAREERS PAGE TO BE CONSIDERED: ___ In just 10 years, by 2030, 50% of school-aged children will be failing or not enrolled in schools. Education is the biggest human rights / civil rights issue of this generation. We believe everyone deserves access to high-quality education and healthcare so that they can build the lives they want to live. *About the Organization: * SmartCourse.io is a NEW high-growth, accelerated, technology-based, social impact startup optimizing education and healthcare for kids with special needs and their caregivers. Caregivers like parents, educators, and health professionals spend too many years and too much money trying to treat kids with special needs or mental health issues. Our products help them to do it in weeks, for a fraction of the cost, using digital products to educate these caregivers on how to best care for and teach kids with special needs so that they can meet their social, behavioral, and academic goals. We also plan to make technologies that optimize individual learning and caregiving for schools/educators, parents, and health professionals (B2B and/or B2G). We also plan to offer our products to large enterprises (e.g. Amazon, Walmart, etc.) to include them as part of their health benefits for their employees with special needs or with family members who have special needs. Ever present is the end in mind: revolutionizing the education and healthcare systems for all kids everywhere since the whole world will soon have access to the internet. We are already on our way to achieving this by working with: • World-leading health professionals (e.g. psychiatrists, psychologists, behavioral therapists, etc.), • Educators (e.g. school admins, special education teachers, etc.), • Startup mentors, advisors, and incubators/accelerators (e.g. Teachable’s EdTech Incubator, Startup Boost’s Pre-Accelerator, Hubspot’s Growth Accelerator, HealthVenture’s HealthTech accelerator, the world's largest EdTech accelerator: StartEd, and YCombinator's Startup School) Our advisers include professors, researchers, EdTech founders, HealthTech founders, product managers, venture capitalists, and investors. • Around 90% of startups fail. Most businesses take 2-5 years to become profitable., • We became profitable in just 1 month. In our 1st year, without spending any money on marketing or engineering, we’ve acquired over 80 thousand users, over 4400 email subscribers, over 400 customers, and over $100k in revenue. Based on our demand and feedback, we know our products are both life-changing and deeply needed. *Duties & Responsibilities: * We are looking for many different kinds of professionals you can see on our careers page: smartcourse.io/careers (Here are some keywords for the algorithm :) Operations Manager, project manager, project coordinator, project assistant, project manager remote, operations supervisor, operations analyst, operations coordinator, operations assistant, operations specialist, operations associate, agile coach, agile project manager, accounting manager, accounting internship, accounting assistant, and/or agile product owner to coordinate and oversee our organization’s operations. The specific duties of an operations manager include project management, operations management, formulating strategy, improving performance, procuring material and resources, and securing compliance. You should be ready to mentor your team members, find ways to increase the quality of customer service, and implement best practices across all levels. Ultimately, we’ll trust you to help us remain compliant, efficient, and profitable during the course of business.) • Take ownership of our team's OKRs & KPIs, and deliver in advance of deadlines with Agile Methodology using Asana, Slack, and GSuite, • Improve our products, satisfaction scores, NPS, & our north star metric (# of products per user) using hard skills explained throughout the application, • Ensure all operations are carried on in an appropriate, cost-effective way, • Improve operational management systems, processes and best practices, • Help the organization’s processes remain legally compliant, • Formulate strategic and operational objectives, • Examine financial data and use them to improve profitability, • Manage budgets and forecasts, • Perform quality controls and monitor production KPIs, • Recruit, train and supervise staff, • Find ways to increase quality of customer service, • Embody our team-wide core values of autonomy, growth mindedness, individual and group empowerment, selflessness, fearlessness, and perseverance, and our team-specific values we'll be looking for throughout your application, • Display exceptional interpersonal, written, and verbal communication skills (proactive communication), • Have a passion for social change, learning, education, healthcare, technology, and/or startups • Able to manage a variety of teams, projects while meeting weekly goals., • Address customer issues and provide value to new and current customers., • Ensure the completion of primary and secondary KPIs., • Proven work experience as operations manager or similar role, • Knowledge of organizational effectiveness and operations management, • Experience budgeting and forecasting, • Familiarity with business and financial principles, • Excellent communication skills, • Leadership ability, • Outstanding organisational skills, • Degree in Business, Operations Management or related field OR equivalent track record *Team-Wide Requirements: * • Must have at least 2 years of professional work experience or equivalent (e.g. research, internships, demonstrated skill), • Have a track record of success in academic and/or professional settings, • Willing to work as an intern or early-stage employee in exchange for a kickass learning experience, commission, bonuses, profit-share, and/or an equity-based payment plan depending on your performance (determined over a 14 to 30 day trial period and discussed on an individual basis.), • For an immediate start, end dates are negotiable throughout the year., • We’re based in NYC, but all positions can be entirely remote, and we’ve had many outstanding colleagues all over the world., • Our work day is from 10AM-6PM ET and we’ll consider candidates with a maximum + or - 6 hours time difference. Daily standups and team meetings are at set times, and you would need to be available for those: At minimum: • 10AM - 11:30AM ET every weekday, • 10AM - 1PM ET on Mondays, • 5PM - 6PM ET on Wednesdays, • 3PM - 6PM ET on Fridays, • Are skilled (or wishes to be) in, team building games, Among Us, Super Smash Bros. Ultimate, and/or a team-building game of your choosing! *Some reasons you might be interested: * • You want to hone your creative media skills, UI/UX design, or full stack web development skills and see how they perform in a business context, • You are looking to start your own company, dive into entrepreneurship, or want a fast-tracked career towards an executive position (e.g. technical co-founder CTO/CPO or COO/CFO), • You want to bring your interests in child development, research, education, or clinical work into a more applied setting and translate it into actions that are directly relevant to families, • You want to collect data from parents, practice data analysis skills, and present findings in relevant settings, • You want to meet and network with leading professionals in the field (educational psychologists, clinical psychologists, educational specialists, etc.), • You want to get involved in the Education Technology and/or Healthcare Technology / MedTech spaces which are growing exponentially, especially for students with special needs, • You’re interested in entrepreneurship, startups, and/or technology and want to put your interests to good use, • You want high-impact work experience to help you grow quickly with leadership development and career support from our serial entrepreneur founder who built and helped build over a dozen 6-figure businesses, one of which was another startup with over $2 million of funding commitment, and all of them launched within less than 1 year *More Opportunities: * We’re recruiting all across the organization so you might be interested in: research, media, content marketing, sales, product management, UI/UX design, full stack web development, recruiting, accounting, legal, project management, agile methodology, just to name a few. We could use help in all departments, so this is a rare opportunity to get in on the ground floor and secure an executive position. Please visit: • Identity Document: ___ ___ be growing very quickly over the next semester. If you might be interested in hearing more about this, we'd appreciate the opportunity to meet you. We have been truly inspired by the interest, alignment, and professional caliber so far. We look forward to hearing from you, Smart Course Team Smart Course | smartcourse.io Job Types: Full-time Associate or Intern, Part-time Associate or Intern, Summer Internship ALL APPLICATIONS MUST BE SUBMITTED THROUGH OUR CAREERS PAGE TO BE CONSIDERED: ___

Summary of Job Support the Quality Management department in the development and maintenance of a monitoring and reporting structure for data reports and analysis related to the HEDIS-QARR project, pharmacy adherence initiatives, and other performance improvement initiatives related to Medicare Stars and Medicaid QIA. Provide analysis of HEDIS-QARR projects, pharmacy adherence initiatives, and other performance improvement initiatives related to Medicare Stars and Medicaid QIA. Develop meaningful insights and actionable analytics using advanced statistical and/or modeling analyses to drive quality and STARS performance. Responsibilities • Analyze monthly rate reports and stratify data to identify statistically significant trends., • Evaluate effectiveness of complex quality improvement projects established for all Medicare and state-sponsored programs., • Create reports to track, monitor and report on provider and network-wide quality performance, including performance towards Medicare Stars and NYSDOH quality goals., • Perform exploratory and in-depth data analyses for assigned measure/population and develop complex predictive models utilizing independent variables and programming language., • Identify data improvement opportunities through review of HEDIS/QARR/Star reports and data outputs and detecting data acquisition, capture, and system error issues., • Provide analytical and technical support in the design, development and maintenance of quality improvement and wellness-based initiatives., • Work with various teams in Quality Management to develop needed tools to track, trend and directly impact measures results related to Quality Scores., • Perform regular rate/impact /trending analysis and recommend corrective actions to meet quality targets., • Maintain up-to-date knowledge and understanding of HEDIS/QARR/Star measure technical specifications., • Support quality specific interoperability efforts., • Bachelor's Degree in an analytical/quantitative field (healthcare management, finance, business, mathematics, engineering, applied stats/economics, or related)., • Master's Degree (Preferred), • 4 - 6+ years of relevant, professional work experience in an analytical role (Required), • 2+ years of managed care/healthcare experience (Preferred), • Proficient in MS Office - Word, PowerPoint, Excel, Access (Required), • Advanced experience with relational database applications - SAS, R, SQL, or others (Required), • Experience with improving or automating processes using programming languages/software - Python, VBA, R, SAS, C++, etc. (Required), • Experience with and proficient in statistical software/programs - SAS, R, Stata, Minitab or others (Required), • Familiarity with Business Intelligence tools - Tableau, Power BI (Preferred), • Knowledge of HEDIS and Medicare Stars reporting processes (Preferred), • Strong communication skills - verbal, written, presentation, interpersonal (Required) Additional Information, • Requisition ID: 1000002938, • Hiring Range: $68,040-$118,800

The Community You Will Join: Messaging is a critical component in building connections with our users. Our mission as the Communication Products team is to build a first-class messaging experience at Airbnb, bringing together guests and hosts across the world. We are investing heavily in machine learning to make these conversations smarter, safer, and more productive. As a staff software engineer on this team, you'll lead the technical vision for ML-powered messaging features: architecting and delivering intelligent capabilities end-to-end, partnering deeply with ML and product teams, and raising the engineering bar across the organization. The Difference You Will Make: As a Staff Engineer on the team, you will define and drive the technical strategy for integrating ML capabilities into Airbnb's messaging products, including smart replies, message classification, content moderation, translation, and conversational assistance. You will also own the full lifecycle of ML-powered features: from prototyping and experimentation through launch, monitoring, and iteration. In addition, you will help drive key technical deliverables for the larger Communications organization. A Typical Day: • Design, build, and operate the systems that serve ML models within the messaging stack, with a focus on latency, reliability, and scalability, • Write and review technical designs that solve large, open-ended problems at the intersection of ML and product engineering without clearly-known solutions, • Partner with ML, data science, and product teams to identify high-value opportunities, establish evaluation criteria, and close the gap between offline model performance and production impact, • Collaborate with other engineers and cross-functional partners across Messaging, Trust & Safety, Localization, and Platform organizations to align on long-term technical solutions, • Mentor, guide, advocate, and support the career growth of individual contributors, • Establish engineering standards for ML integration across the messaging surface, including feature flagging, A/B testing, observability, and graceful degradation Your Expertise: • 9+ years of relevant engineering hands-on work experience, • Bachelors, Masters, or PhD in CS or related field, • Demonstrated experience building and shipping ML-powered product features in production environments, including model serving, feature pipelines, online/offline evaluation, and monitoring, • Exceptional architecture abilities and experience with architectural patterns of large, high-scale applications, • Familiarity with NLP/NLU techniques and large language models, particularly as applied to messaging, conversational AI, or content understanding, • Shipped several large-scale projects with multiple dependencies across teams, specifically at the intersection of ML infrastructure and product engineering, • Technical leadership and strong communication skills with the ability to translate between ML research, product goals, and engineering execution, • Experience operating distributed, real-time systems at scale with high reliability requirements, • Experience with real-time messaging systems or event-driven architectures, • Familiarity with ML infrastructure at scale (e.g., feature stores, model registries, online inference platforms), • Prior work on trust & safety, content moderation, or internationalization in a messaging context, • Experience with LLM-based product features, including prompt engineering, retrieval-augmented generation, or fine-tuning 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.

Afresh is the leading AI company in fresh food—partnering with grocers like Albertsons, Wakefern, Meijer, and Stater Bros to order billions of dollars of fresh food in over 12,000 grocery departments nationwide. Following record-breaking 70% growth in 2025, we’ve expanded our platform to cover all fresh departments, launched our full store suite, and debuted DC Fresh Buying. We’re on a mission to eliminate food waste and make fresh food accessible to all. In 2025 alone our software helped save 200M lbs of food waste. If you're looking for a role where your work directly translates into massive scale and social good, and you want to be part of the team that defines the future of fresh, there is no better time to join us. About the Role We’re looking for a Data Engineer who’s excited to work at the intersection of food waste, large-scale data processing, and applied AI. In this role, you’ll help shape how customer data flows through our platform, improving how we ingest, transform, and operationalize real-world datasets to drive down food waste for grocery chains. You’ll work closely with other data engineers, product engineers, and AI/ML engineers to design and implement reliable, efficient ETL pipelines and streamline how we integrate with new customers. You’ll contribute to the development of new features that support our expanding product lines. Your work will have a direct and visible impact on our ability to onboard customers more easily/quickly and power our machine learning grocery solution. What You’ll Do • Build and maintain robust data pipelines that ingest, transform, and validate complex customer data using PySpark, Python, and dbt to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use., • Help improve integrations with new customers, making the process faster and more repeatable through thoughtful tooling., • Contribute to the adoption of cutting-edge AI tooling (e.g., LLM-assisted data cleaning, semantic validation, and anomaly detection)., • Collaborate with product, engineering, and go-to-market teams to design and deliver data solutions for new products and features., • Identify and implement optimizations to improve ETL runtime and data processing scalability, reducing the time and effort required for integrations., • Solve real-world data quality challenges by working directly with messy, incomplete, or inconsistent customer data to extract the signal we need., • Learn and grow by pairing with other engineers, participating in design reviews, and taking on bigger and bigger projects. Skills and Experience • 2+ years of experience building ETLs or data workflows with Python, PySpark, SQL, or similar tools., • Comfortable working with messy, incomplete, or inconsistent datasets—and turning them into something structured and usable., • Experience in identifying areas where tooling or automation can simplify workflows and reduce manual effort., • Experience or strong interest in platforms like Databricks, Snowflake, and dbt., • Strong problem-solving skills and the ability to work with ambiguous or incomplete requirements to deliver concrete, impactful solutions., • Attention to detail and pride in delivering robust, maintainable solutions., • Collaborative and communicative — you work well across teams and aren't afraid to ask questions., • Learning mindset — hungry to grow your skills and move fast. We encourage all highly-qualified candidates to apply, even if they don’t meet every listed qualification. We encourage you to apply even if you don’t meet every requirement. This position is not eligible for employer sponsorship Salary Band in U.S.: $130,000 - $176,000 About Afresh Founded in 2017, Afresh is working on the #1 solution to curb climate change: reducing food waste. By combining human insight and transformative technology, we're helping grocers provide fresher food to customers at more affordable prices. Afresh sits at an incredible intersection of positive social impact, rocket ship financial growth, and cutting-edge technology. Our best-in-class AI research has been published in top journals including ICML, and we've raised over $148 million in funding from investors including former co-CEO of Whole Foods Market Walter Robb and Eric Schmidt's Innovation Endeavors. Fresh is the past, present, and future of our food system – the waste we create today will impact our planet for years to come. Join us as we continue to build a vibrant, diverse, and inclusive team that embodies our company’s values of proactivity, kindness, candor, and humility. Afresh provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity/expression, marital status, pregnancy or related condition, or any other basis protected by law. Here at Afresh, many of our employees work remotely provided that they reside in one of the following states: AL, AR, CA, CO, FL, GA, IL, KY, MA, MI, MT, MO, NV, NJ, NY, NC, OR, PA, TX, WA, UT, VA, WI.

At Speckle, we’re on a mission to shake up the AEC (Architecture, Engineering, and Construction) industry. To do that, we're building the data layer for AEC to operationalize how the built environment industry works with data and automation. Think of us as a cross between GitHub and Palantir, with an opportunity to significantly impact a $10 trillion industry. Our platform already powers workflows on billion-dollar projects at leading firms like Suffolk Construction, SOM, Multiconsult, WSP, and Stantec. Now, we're focused on bringing a paradigm-shifting product to as many customers as possible. We're building a generational company that will revolutionize how one of the world's largest industries operates. We’re doing that by breaking down barriers and connecting architects, engineers, and designers across every project stage with data. Speckle is backed by top-tier investors and works with some of the most innovative teams in AEC who are tired of outdated workflows and ready to transform how their organizations use data. Our dynamic team is spread across the U.S. and Europe. We value flexibility and hold regular in-person working sessions to keep us moving in the same direction, quickly. Speckle is looking for a U.S.-based Solutions Engineer to sit at the intersection of growth and product, who can translate Speckle's platform into real, tangible workflows for the people building the world's most complex projects. You'll work alongside our sales team to land and expand enterprise deals by proving value in the context of a customer's project delivery workflows and enterprise data ecosystem. You'll be the person customers call when they want to understand not just what Speckle can do, but how it fits into their specific stack, workflows, and problems. We're looking for someone with deep roots in AEC, whether you came up through a firm's digital delivery practice or through the software side, who understands what it actually takes to deliver improved efficiency and increased trust in data on a live project. Bonus if you have even already built something with Speckle. What you'll do: * Own pre-sales technical engagements: Lead discovery, configure tailored demos, and work with prospects to validate that Speckle solves urgent and expensive problems for their firm * Become a trusted advisor on data workflows: Beyond Speckle itself, you'll help prospects think through broader questions about project data strategy, BIM execution, and interoperability to position Speckle as a long-term partner, not just a tool * Own sales enablement resources: Build and maintain the collateral, technical guides, and reference materials that help our sales team engage more effectively, from qualification through to close. Improve our enterprise pilot process and support materials to increase activation and conversion rate. * Lead our monthly webinar series: In partnership with our Product Marketing Lead, own end-to-end execution of Speckle's external webinar program, from setting the content calendar, sourcing speakers, and delivering sessions that speak directly to the AEC practitioners we're trying to reach * Feed product with field intelligence: You're closest to what customers actually struggle with. You'll surface patterns and insights that inform how we build * Build the playbook as you go: We don't have every process locked down yet, and you'll help define what great looks like for our enterprise pilot process and customer enablement * Build and document the Sale Engineering playbook, covering technical discovery and demo environments, so that it is ready to hand off to a second hire * Deliver an increased win rate on Sales Engineer-touched deals: After you’re on-boarding is complete, positively impact our growth by decreasing the sales cycle length and increasing our win rate on new enterprise deals * 3+ customer-validated workflow templates published (e.g., model federation, data validation, dashboard reporting) that accelerate onboarding and serve as referenceable proof points AEC Domain Expertise * 5–10 years working in AEC software or in a digital delivery, BIM, or technology role at an AEC firm * Deep familiarity with project data workflows, including how models develop, how data gets structured, and where collaboration breaks down * Hands-on experience with tools in the AEC stack: Revit, Rhino, Civil 3D, Plant 3D, Open Plant, Navisworks, Power BI, or similar * Bonus: Speckle experience. You don't need to have been a power user, but you should know what it is and ideally have built something with it Technical Depth, Applied Practically * Comfortable navigating APIs, connectors, and data pipelines without needing to hand off to a developer for every question * Able to configure and demonstrate technical solutions in the context of a customer's environment, not just a generic sandbox * Capable of reading a customer's data problem and proposing a credible path forward Pre-Sales and Customer Engagement * Skilled at discovery: you know how to ask the questions that uncover the real problem, not just the stated one * Strong presenter and communicator, comfortable in front of a CTO, a BIM manager, and a project team in the same week * Bonus: Experience supporting enterprise sales cycles in a technical capacity, whether as a solutions engineer, pre-sales consultant, or technical account manager Customer Adoption and Success * Track record of driving product adoption and usage, not just successful implementations * Understands that a closed deal is just the starting line. Post-sales engagement, onboarding quality, and time-to-value are what you actually measure yourself on * Comfortable owning customer health and escalating risks early Builder Mindset * You'll join a small and scrappy team at Speckle, so you need to be comfortable with the building process, not just following it * Brings structure to ambiguity without waiting for someone else to create it * Has an opinion about what good customer onboarding looks like and is prepared to build it * Shape the role: You won't be executing someone else's playbook; you'll help write it! * Work with innovators: Our customers are pushing the boundaries of what's possible with AEC data. * Real impact: Your work directly influences our growth and the industry's transformation. * Learn constantly: You'll be exposed to cutting-edge workflows, automation, and how leading firms are preparing for the future. * Remote-first culture: Work from anywhere with a team that values autonomy and trust. * Competitive compensation: Base salary + uncapped commission + generous equity. * Generous vacation policy: So you can disconnect and recharge. * In-person collaboration: We believe in the value of in-person collaboration, with frequent in-person working sessions and an annual all-company retreat * We're backed by highly accomplished venture firms that believe in us and our mission! * Speckle has a large, established user community and strong brand recognition across the AEC industry We celebrate our truly diverse and inclusive company culture and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Location: US - Remote Experience: 8+ years in Cloud/Platform Engineering or Infrastructure, with a proven track record of leading cross-functional initiatives and influencing organizational AI strategy. We are looking for a visionary Staff AI-Native Platform Engineer to lead the evolution of our technical foundation. In this high-impact role, you will move beyond traditional automation to architect an AI-native ecosystem that integrates Generative AI into every layer of our Development Platform. As a technical leader within the Platform organization, you won’t just be maintaining infrastructure, you will be reimagining the developer experience (DevEx). You will be the primary advocate for GenAI, fostering a culture of “AI-first” engineering by building agentic workflows that accelerate Cloud Orchestration, CI/CD, Observability, and FinOps. We need a creative engineer who can bridge the gap between cutting-edge LLM capabilities and robust, production-grade platform tooling. * AI-First Development Platform: Design and build unified interfaces where AI agents manage complex tasks like environment provisioning, automated PR reviews, and self-documenting codebases. * Intelligent Orchestration: Embed AI-driven intelligence into CI/CD pipelines and Observability stacks to enable predictive scaling, automated incident triage, and self-healing systems. * Autonomous FinOps: Evolve AI-assisted FinOps workflows to automate cost attribution, anomaly detection, and optimization recommendations across AWS and other cloud environments. * Governance & Guardrails: Implement AI-driven governance to ensure architectural standards and security policies are met without slowing down developer velocity. * Agentic Tooling: Develop production-grade internal tools that use agentic reasoning to solve "day two" operational challenges for product teams. * Internal Developer Portal (IDP): Integrate natural language interfaces into our IDP, allowing developers to interact with the platform through conversational AI. * Actionable Insights: Transform raw telemetry into “executive-ready” insights using advanced data modeling and AI-driven visualization. * Strategic Advisory: Partner with senior leadership to model the technical and operational trade-offs of various AI architectural decisions (e.g., Build vs. Buy, Model Selection). * Team Upskilling: Act as a force multiplier by mentoring engineers on advanced AI tooling, prompt engineering for infrastructure, and the deployment of agentic systems. * Community Building: Stay at the forefront of the GenAI landscape, regularly sharing insights and driving the adoption of emerging tools and patterns across the organization. * Platform Expertise: 8+ years of experience in Cloud Engineering (AWS preferred), with deep knowledge of Kubernetes, Terraform/CloudFormation, and modern CI/CD patterns. * AI/ML Applied Logic: Expert-level experience applying AI techniques (summarization, RAG, agentic reasoning) to real-world operational workflows. You understand how to make LLMs "useful" in a production environment. * Advanced Programming: Expert Python skills and experience with AWS SDKs. You are comfortable building complex integrations and custom CLI/API tools. * The "Staff" Mindset: A history of leading large-scale, cross-functional projects. You can navigate ambiguity, build consensus across teams, and deliver measurable business impact. * Creative Evangelism: The ability to present complex AI concepts to both technical and non-technical stakeholders, inspiring teams to shift toward AI-native workflows. * Product Thinking: Experience building Internal Developer Portals (IDP) with a focus on "Platform as a Product" and user-centric design. * Experience with LangChain, LlamaIndex, or other AI orchestration frameworks. * Contributions to open-source platforms or AI projects. * Experience with vector databases and fine-tuning models for domain-specific tasks. The pay range is listed and actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skill set, years & depth of experience, certifications and specific office location. This may differ in other locations due to cost of labor considerations. Remote USA $152,100 - $190,100 USD OUR OPPORTUNITY Natera™ is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. Our aim is to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions, who care deeply for our work and each other. When you join Natera, you’ll work hard and grow quickly. Working alongside the elite of the industry, you’ll be stretched and challenged, and take pride in being part of a company that is changing the landscape of genetic disease management. WHAT WE OFFER Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program! For more information, visit ___. Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide. All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws. If you are based in California, we encourage you to read this important information for California residents. Link: ___ Please be advised that Natera will reach out to candidates with a @___ email domain ONLY. Email communications from all other domain names are not from Natera or its employees and are fraudulent. Natera does not request interviews via text messages and does not ask for personal information until a candidate has engaged with the company and has spoken to a recruiter and the hiring team. Natera takes cyber crimes seriously, and will collaborate with law enforcement authorities to prosecute any related cyber crimes. For more information:

Who We Are TetraScience is the Scientific Data and AI company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: ___ In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective. It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day. We are seeking a Lead Software Engineer to help expand our scientific search platform beyond traditional keyword search and unlock new capabilities in chemical search, semantic search, and natural language search. In this role, you will work at the intersection of AI/ML, cheminformatics, knowledge representation, and distributed systems, enabling scientists to retrieve and reason over complex experimental datasets, chemical entities, assay results, and unstructured lab documents. As a technical leader of the Search Platform team, you will guide, design and implement new search capabilities while also owning the underlying infrastructure that powers them. Lead by example for building the systems, mentor engineers, and help shape the roadmap for search capabilities and platform evolution. This includes maintaining scalable, reliable services and continuously improving the platform as we expand our search offerings. You will collaborate closely with Applied AI Scientists, platform engineers, and product teams to deliver high performance search services that drive discovery, analysis, and decision making across the bio-pharma R&D lifecycle. If you are passionate about building scalable search systems, advancing scientific retrieval, and supporting production scale AI workloads, we’d love to talk to you. • Lead by example to architect and code the next-generation scientific search engine, building a system that can reason over billions of scientific data points—from chemical structures (SMILES) to unstructured lab documents and instrument data., • Engineer sophisticated hybrid search pipelines that blend sparse (keyword), structured (metadata), and dense (vector) retrieval. You will go beyond out-of-the-box OpenSearch to design custom ranking logic, reciprocal rank fusion, and relevance tuning that surfaces the exact "needle in the haystack" for drug discovery., • Own and operate the Search Platform infrastructure, ensuring high availability, scalability, performance, and observability across indexing, embedding generation, and query execution., • Develop and maintain backend services and APIs in Python and TypeScript that power search capabilities for scientists, data engineers, and AI applications., • Collaborate with Applied AI Scientists to integrate embeddings, transformer models, and chemical fingerprints into production search workflows., • Architect and implement scientific entity resolution and knowledge graph pipelines to transform raw text into interconnected knowledge. You will design systems that extract and link chemical and biological entities (NER/NED) from unstructured documents, enabling the search engine to "understand" relationships between compounds, targets, and assays., • Continuously improve search quality through evaluation metrics such as precision@K, recall@K, MRR, and relevance testing with real scientific use cases., • Ensure security, compliance, and tenant isolation as part of operating search services in enterprise bio-pharma environments., • Contribute to architectural decisions, technical strategy, and platform-wide improvements to accelerate scientific insight generation., • 10+ years of backend or platform engineering experience building distributed, production grade systems., • Hands-on experience with search technologies such as Elasticsearch/OpenSearch, Lucene, or vector databases, • Strong understanding of semantic search concepts embeddings, transformers, similarity scoring, ranking logic, relevance tuning, hybrid retrieval., • Expert-level coding skills in TypeScript and Python building robust APIs and backend services., • Experience building and operating microservices or search infrastructure on cloud platforms (AWS preferred), including containerization, CI/CD, observability, and performance tuning., • Familiarity with scientific or unstructured data processing, such as documents, tables, analytical results, or experimental datasets., • Strong problem solving skills, with the ability to navigate ambiguous scientific workflows and translate them into engineered systems., • Excellent communication and collaboration skills comfortable working alongside scientists, AI researchers, and product teams., • Exposure to NLP, LLMs, embedding generation, or retrieval-augmented workflows., • Experience with large-scale data platforms such as Databricks, Lakehouse architectures, or distributed indexing systems., • Experience with cheminformatics tools and libraries (e.g., RDKit), including molecular fingerprints, similarity metrics, or substructure search., • Prior experience implementing chemical search systems, such as SMILES parsing, normalization, or chemical indexing., • Knowledge of vector databases / embeddings stores (e.g., OpenSearch) to support semantic search and RAG., • 100% employer-paid benefits for all eligible employees and immediate family members, • Unlimited paid time off (PTO), • 401K, • Flexible working arrangements - Remote work, • Company paid Life Insurance, LTD/STD, • A culture of continuous improvement where you can grow your career and get coaching, • We are not currently providing visa sponsorship for this position.

Mentor future engineers and contribute to an engineering culture centered on safety, transparency, and impact. This is a hands-on technical leadership role at the intersection of engineering excellence, low code platform design, and applied GenAI engineering. Establish technical standards, documenta

The ideal candidate is local to and interested in working from any of our offices (Silver Spring, NYC, SF, Miami, Denver) local to them 1-2x per week. ABOUT ROCKET MONEY 🔮 Rocket Money’s mission is to meaningfully improve the financial prosperity of millions of people. Rocket Money offers members a unique understanding of their finances and a suite of valuable services that save them time and money – ultimately giving them a leg up on their financial journey. ABOUT THE TEAM 🤝 On Team Horizon, our mission is to take complex financial data and simplify it into intuitive experiences for users at every stage of their financial journey. We’re a small but high-impact team where engineers are empowered to work closely with Product and Design to craft features that help our users achieve financial prosperity. Engineers on the team care deeply about implementing elegant solutions that are easy to understand for both the user and fellow engineers who you work with on problems. IN THIS ROLE, YOU'LL: • Work in a cross-functional team of engineers, product managers, designers, and data to implement full stack user facing features at the core of Rocket Money, • Develop with TypeScript across the stack, building user interfaces using React[-Native] and the backend support required to power them with Node.js, GraphQL, and PostgreSQL, • Own complex features end-to-end, from initial product & technical design stages through to production, ensuring the appropriate engineering rigor has been applied for scalability, reliability, and observability, • Help to maintain our high technical bar, participating in code reviews and design discussions to ensure that we're applying appropriate rigor to our software development process, • Support a collaborative and innovative culture by sharing your ideas via RFCs, participating in solution ideation, and giving your peers evaluating feedback on their code and their proposals ABOUT YOU 🦄 • You have 5+ years of professional experience working with some combination of Node.js/TypeScript, React (or similar framework), and Postgres (or similar relational database). (Experience with GraphQL is a plus.), • You're not just interested in what you're building, but also why you're building it. You want to see the bigger picture of how the software you‘re building is benefitting our users., • You love crafting and perfecting features that make finances simpler for our users and easier for your fellow engineers to work with., • You understand how observability impacts reliability and enjoy digging into the details to solve performance, data accuracy, and user experience issues., • You have a collaborator’s mindset and dig deep to understand nuanced and multi-faceted problems and tenaciously break them down into tractable pieces. You love giving and receiving feedback, and considering new and novel ideas., • You thrive in a growing organization, and are not afraid of a challenging problem. In fact, you confront problems head on and take the lead on the solution. WE OFFER 💫 • Health, Dental & Vision Plans, • Life Insurance, • Long/Short Term Disability, • Competitive Pay, • 401k Matching, • Team Member Stock Purchasing Program (TMSPP), • Tuition Reimbursement, • Unlimited PTO, • Daily Lunch, Snacks & Coffee (in-office only), • Commuter benefits (in-office only) Additional Information: Salary range of $150,000 - $185,000/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “___,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. We're building a search platform that helps scientists find answers across billions of data points from chemical structures and assay results to unstructured lab documents and instrument data. We're looking for a Lead/Principal Platform Engineer to lead that effort. You'll own the full search stack: indexing and scoring, query understanding and rewriting, retrieval pipelines, and the infrastructure underneath it all. You should be able to fluently apply the state-of-the-art in classical search, custom analyzers, index design alongside newer methods for semantic and hybrid retrieval. You'll go well beyond out-of-the-box OpenSearch to build custom ranking logic, relevance tuning, and scoring models that surface the right result from massive, heterogeneous scientific datasets. This is a hands-on technical leadership role. As the technical leader of the Search Platform team, you'll write code, architect systems, mentor engineers, and shape the roadmap for search capabilities and platform evolution. You'll often operate in ambiguous territory translating loosely defined scientific workflows into well-architected search systems where the "right answer" isn't always obvious and requirements evolve as scientists discover new ways to use the platform. You'll collaborate daily with Applied AI Scientists, platform engineers, and product teams to deliver high-performance search services that drive discovery, analysis, and decision-making across the bio-pharma R&D lifecycle. The domain is bio-pharma R&D, and the data types are fascinating molecular structures (SMILES), experimental datasets, knowledge graphs linking compounds to targets and assays. You don't need to know cheminformatics today, but you should be excited to apply deep search expertise to novel and complex data types. If you've spent your career building scalable search systems and want to do it at the intersection of AI and scientific discovery, we'd love to talk. • Architect a full-stack Search Platform across all layers of indexing and scoring, query understanding, rewriting and federation, and extensible search experiences., • Continuously improve search quality through evaluation metrics such as precision@K, recall@K, MRR, and relevance testing with real scientific use cases., • Engineer sophisticated hybrid search pipelines that blend sparse (keyword), structured (metadata), and dense (vector) retrieval. You will go beyond out-of-the-box OpenSearch to design custom ranking logic, reciprocal rank fusion, and relevance tuning that surfaces the exact "needle in the haystack" for drug discovery., • Lead by example and write code, review designs, and set the standard for engineering quality on the Search Platform team. Mentor engineers and help grow the team's search and distributed systems expertise., • Contribute to architectural decisions, technical strategy, and platform-wide improvements to accelerate scientific insight generation., • Own and operate the Search Platform infrastructure, ensuring high availability, scalability, performance, and observability across indexing, embedding generation, and query execution., • Develop and maintain backend services and APIs in Python and TypeScript that power search capabilities for scientists, data engineers, and AI applications., • Ensure security, compliance, and tenant isolation as part of operating search services in enterprise bio-pharma environments., • Collaborate with Applied AI Scientists to integrate embeddings, transformer models, and chemical fingerprints into production search workflows., • Architect and implement scientific entity resolution and knowledge graph pipelines to transform raw text into interconnected knowledge. You will design systems that extract and link chemical and biological entities (NER/NED) from unstructured documents, enabling the search engine to "understand" relationships between compounds, targets, and assays., • 10+ years of backend or platform engineering experience building distributed, production grade systems., • Hands-on experience with search technologies such as Elasticsearch/OpenSearch, Lucene, or vector databases not just deployment, but custom configuration, relevance tuning, and performance optimization at scale., • Strong understanding of semantic and hybrid retrieval: embeddings, transformer models, vector similarity, ranking logic, relevance tuning, and how to blend them with classical keyword search., • Expert-level coding skills in TypeScript and Python building robust APIs and backend services., • Proven ability to build and operate search infrastructure on cloud platforms (AWS preferred), including containerization, CI/CD, observability, and capacity planning., • Familiarity with scientific or unstructured data processing, such as documents, tables, analytical results, or experimental datasets., • Excellent communication and collaboration skills comfortable working alongside scientists, AI researchers, and product teams., • Exposure to NLP, LLMs, embedding generation, or retrieval-augmented workflows., • Experience with vector databases / embeddings stores (e.g., OpenSearch) to support semantic search and RAG., • Strong problem solving skills, while being Comfortable navigating ambiguity translating loosely defined scientific workflows and user needs into well-engineered search systems., • Contributions to open-source search projects (Apache Lucene, Solr, OpenSearch, or similar) or active involvement in the search engineering community., • Experience with cheminformatics tools and libraries (e.g., RDKit), including molecular fingerprints, similarity metrics, or substructure search., • Prior experience implementing chemical search systems, such as SMILES parsing, normalization, or chemical indexing., • Experience with entity resolution, knowledge graphs, or NLP pipelines that enrich search corpora., • Experience with large-scale data platforms such as Databricks, Lakehouse architectures, or distributed indexing systems., • 100% employer-paid benefits for all eligible employees and immediate family members, • Unlimited paid time off (PTO), • 401K, • Flexible working arrangements - Remote work, • Company paid Life Insurance, LTD/STD, • A culture of continuous improvement where you can grow your career and get coaching, • We are not currently providing visa sponsorship for this position.

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with ___ or self-managed with the ), logs (). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are looking for candidates in the United States time zones. What is Grafana Cloud? Grafana Cloud is our composable observability platform that integrates metrics, logs, traces, and profiles with Grafana. It allows our customers to leverage the best open source observability software – including Prometheus, Mimir, Loki, Tempo, and Pyroscope – without the overhead of installing, maintaining and scaling their own observability stack. The Databases team owns and operates the telemetry databases that are___,, and___. Our databases are offered as a hosted service in Grafana Cloud, and additionally as on-premise solutions with ___, ___, and ___. They are multi-tenant distributed systems implemented in Go and operating at scale on Kubernetes across all major Cloud service providers (AWS, GCP, Azure). As a company we are remote-first and global, we embrace people of different experiences and backgrounds to build diverse teams where every person brings a new perspective to the software. The Opportunity: The Mimir squad has 3 sub-squads, Ingest, Storage, and Query, which together maintain the ___, and additionally own and operate Grafana Cloud Metrics across 3 major cloud providers. Engineers on the team focus on optimizing the efficiency and resilience of processing, storing, and querying metrics at large volumes. These services operate at a large scale and performance is key to keeping the offering competitive and running smoothly. A Mimir engineer has various work streams. They are likely engaged in a larger project with another engineer, and they are also incorporating some performance and reliability improvements discovered through operating the system in production. They are also responsible for writing and reviewing PRs and design documents from other engineers in the squad, shepherding automated release rollouts, and participating in the on-call rotation for their systems. What You'll be Doing: • Take an active role in influencing our roadmap and your own career objectives, • Work with your team to deliver new features, then use the results to iterate and improve., • Drive projects from initial idea all the way to operations once it is in the hands of customers, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope, • Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability, • Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running, • Support other team members, participate in design discussions and collaborate with the team, • Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). What Makes You a Great Fit: You are a motivated self-starter with a bias towards action. You are customer focused. We build everything with our users in mind. You have a passion for creating intuitive products that fit customers’ needs. You have good time management skills, which you leverage to work on the right things at the right time. • Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively, • Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication and time management skills are a must., • Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well, • Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way, • Some experience with developing software that runs in the Cloud or some experience with systems engineering, • Some experience with being on-call and following the DevOps model, • Experience writing clean, robust, and performant software that is easily maintained by others, • Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem. Bonus Points for: • Experience working with Kubernetes, • Experience working with queue systems, e.g. the Kafka protocol, • Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects), • Exposure to microservices architecture and distributed systems, or a desire to learn, • Familiarity with the concept of infrastructure as code Compensation & Rewards: In the United States, the Base compensation range for this role is USD 154,445 - USD 185,334. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed ___. *Compensation ranges are country-specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with ___ or self-managed with the ), logs (). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position in US and Canada. The Opportunity: We are the creators of ___, an open-source continuous profiling database that offers rapid, scalable, highly reliable, and efficient storage and querying capabilities. It aids in gaining a comprehensive insight into resource utilization within applications, right down to the specific line of code. The project seamlessly integrates with Grafana, enabling users to correlate profiling data with metrics, logs, and traces, and leverage profiles as a crucial component of application observability. Our dedicated backend development team works closely with clients and the Grafana Cloud teams to deliver profiling solutions for on-premises and cloud environments at scale. In our expansive domain, some of the projects we have undertaken include: • Implementing distributed systems to effectively manage profile ingestion and queries., • Establishing instrumentation support for various programming languages including Golang, Dotnet, Java, Ruby, eBPF, Python, Node.js, and Rust., • Built & Enhanced the functionality of the Pyroscope plugins to provide users with an intuitive interface for exploring and analyzing application profiles. This position focuses on implementing distributed systems to effectively manage profile ingestion and queries. Pyroscope is trusted by leading multinational companies for essential applications and infrastructure. We prioritize innovation and inclusivity, empowering every team member to share ideas that improve our product as a dependable solution. What You'll Be Doing: • Collaborate with your team to deliver new features, analyze outcomes, and make improvements, • Lead projects from concept to implementation, including ongoing customer support, • Design, build, operate, and maintain essential systems, ensuring reliability, performance, and availability, • Take an active role in influencing our roadmap and your own career objectives, • Participate in on-call rotations and take responsibility for the services you oversee, • Support and mentor team members, engage in design conversations, and work closely with colleagues, • Expand your skill set by deepening your knowledge of our cloud products, understanding our customers, and learning about our codebase, • As we have embraced a remote-first approach and our engineering team is primarily remote, it is essential to possess strong communication skills and the ability to work independently. We provide support and hold regular meetings through video calls to ensure effective collaboration and alignment. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). What Makes You a Great Fit: • You are a motivated self-starter with a bias toward action, • We build everything with our users in mind., • You have a passion for creating intuitive products that fit customers’ needs., • Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively, • Collaboration and communication: The smallest unit we have is a team. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must, • Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar, then that translates well, • Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way, • Strong experience with designing and developing software that runs in the Cloud or experience with systems engineering, • Experience writing clean, robust, and performant software that is easily maintained by others., • Experience with being on-call and performing operations/SRE tasks or with the concept of infrastructure as code, • Solid experience with distributed systems, • Experience working with Kubernetes Bonus Points For: • Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects), • Exposure to microservices architecture, • Databases backend experience In the United States, the compensation range for this role is $174,986 - $209,983 USD. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with ___ or self-managed with the ), logs (). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a fully remote position and we're considering candidates in the US. The Opportunity: Grafana is building the Interactive Learning Plugin: an open source, in-product learning experience inside Grafana that helps users level up without leaving their workflow. We’re hiring a software engineer embedded in Developer Advocacy who ships real product code that directly impacts both Grafana Cloud and Grafana OSS. This is for an engineer who moves fast with strong judgment, is excited about AI-assisted development in open source, and wants to help build a platform where anyone can contribute high-quality learning content—not just engineers. Your primary focus will be the open source Interactive Learning Plugin:___ and its content: ___ What You’ll Be Doing: • Build delightful interactive learning inside Grafana, • Ship features that make learning experiences feel obvious, smooth, and scalable., • Improve the end-to-end learner experience—from onboarding to completion., • Enable contribution and authoring (especially for non-engineers): create workflows and product features that let many contributors safely create, iterate on, and improve learning content., • Support private guides and experiences, • Make completion tracking that actually matters, • Build progress and completion tracking that’s trustworthy, motivating, and useful., • Instrument learning flows so we can understand what’s working, what’s failing, and where learners get stuck., • Treat observability as a product principle, • Build fast feedback loops (metrics/logs/traces + user journey visibility) so issues stay shallow., • Make it easy to understand what’s happening in production and in real user experiences., • Ship fast with an AI-driven development workflow, • Work daily with tools like Claude Code or Cursor in an agent-based workflow., • Apply strong engineering judgment—scoping, iterating, verifying, and testing—so speed doesn’t compromise quality. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). This role includes participation in an on-call rotation as part of our DevOps culture. We believe in end-to-end ownership—those who build the software also help run and support it in production. What Makes You a Great Fit: We know it’s rare to find everything. You should be strong in at least two of the three areas below: • AI harness experience (agentic development), • You’ve used tools like Claude Code or Cursor in real development work (daily or close to it)., • You can describe your workflow (scoping → iterate → validate → test) and how you manage risks like security and correctness., • Serious software engineering fundamentals, • You can ship production-grade changes and explain tradeoffs., • You care about architecture, maintainability, correctness, and raising the quality bar (not “vibe coding” alone)., • Grafana context, • You’ve used Grafana in real environments—dashboards, troubleshooting, on-call, or monitoring workflows., • You understand observability practices and how Grafana fits into them. You’ll also do a small but meaningful amount of communication work (~20%) which will include writing clear docs, design notes, and PR descriptions, as well as occasionally demo work or explaining decisions to internal/external audiences. Bonus Points For: • Meaningful open source contribution or maintainer experience, • Full-stack experience (strong frontend-only or backend-only profiles are also welcome), • TypeScript and/or Go, • Kubernetes familiarity, • Experience in the broader observability ecosystem (Prometheus, Loki, Tempo, Mimir, OpenTelemetry) Compensation & Rewards: In the United States, the base compensation range for this role is $174,986 - $209,983. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

We’re a startup with big ambitions: to make estate planning modern, visual, and intelligent. ___ is the first AI-powered estate advisory platform, built by advisors, planners, and attorneys to transform how wealth is transferred across generations. Our technology unifies scenario modeling, client visualization, and document creation into one seamless, digital experience. Our team brings together diverse subject matter expertise across estate planning, wealth management, and scaling SaaS startups. We’re distributed across the U.S., with a mix of fully remote and hybrid roles, and we embrace flexibility while staying closely connected. At Vanilla, you’ll join curious builders and problem-solvers who thrive on speed, autonomy, and impact. Here, you won’t just join a company, you’ll help create it. If you’re excited to tackle hard problems, move quickly, and see your work shape both an industry and a growing startup, we’d love to meet you. Job Summary Vanilla is seeking a Senior Software Engineer - AI Applications with a strong background in software development, data science, machine learning, and artificial intelligence. You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineering skills will come into play here as you’ll take ownership in constructing services to ingest structured results. If you’re a proactive problem-solver who lives to disrupt archaic processes with cutting-edge technology, this is the job for you. As a Senior Software Engineer, you will work collaboratively with engineering and subject matter experts to find innovative and disruptive uses of AI to streamline (or replace) workflows. Responsibilities * Machine learning and AI: You are passionate and knowledgeable about the current and future state of AI. * You will be utilizing existing Large Language Models to build applied AI applications focused on producing high accuracy rates. Your software engineer skills will come into play here as you'll take ownership in constructing services to ingest results. * You will work with product, and engineering teams and build models/services that can ingest data, extract key information and surface insights. * You can drive technical vision and leverage open source technologies and cloud services to build an AI/ML platform. * You can build tooling to support model training, evaluation, inference serving, monitoring and alerting. * You want to use the latest ML frameworks and open source tools to develop new model training pipelines. * Hands On Coding: You have direct experience with software engineering and are familiar with modern languages like Python, Javascript, Go, Rust * You have experience building microservices and understand the tradeoffs of the approach. * Data handling: You can identify, extract, transform, and load data from disparate sources into a centralized system. You are able to normalize, cleanse, and validate this data. * Database management: You are able to design and implement schemas, optimize queries, and manage database performance. * Project management: You must be an effective self-organizer: prioritize tasks, manage resources, and communicate effectively with non-technical stakeholders. * Collaboration: We are one team. You must be able to collaborate with engineers, subject matter experts, product managers, and designers to ensure the success of projects. Qualifications * Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience. * 6+ years relevant work experience. * Proficiency in, at least, one modern programming language such as Python or Javascript. * Experience building commercial SaaS solutions. * Experience integrating with backend services, and APIs. * Experience with OpenAI, Anthropic, or similar for both chat and API interfaces. * Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation. * Experience with tuning AI performance and scalability of AI infrastructure. * Preferred experience with AI observability, monitoring, and signaling with tools such as LangChain or LangGraph. * Experienced with LLM orchestration tooling and decision frameworks. * Experience or exposure building agentic capabilities and workflows. * Experience or exposure to evaluation testing frameworks. * Exceptional candidates will have direct experience with RAG for tuning LLMs. * Experience with API design and accessing data from external sources. * Ability to effectively articulate technical challenges and solutions. * Deal well with ambiguous/undefined problems; ability to think abstractly. * Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations. * Candidates must be legally authorized to work in the United States without the need for sponsorship now or in the future. Vanilla is unable to provide visa sponsorship at this time. You Might Be a Great Fit If: * You have hands-on experience with AI and Large Language Models (LLMs). You’ve worked with OpenAI, GPT models, or other similar technologies and have integrated them into real-world applications. * You are a critically thinking software engineer. You have built and maintained scalable microservices and understand the tradeoffs of this architecture. * You can build AI-powered applications with high accuracy. You understand the challenges of AI implementation and know how to optimize models, fine-tune them, and create efficient pipelines for training, evaluation, and deployment. * You are a problem-solver and innovator. You love tackling undefined, ambiguous problems and applying AI to disrupt outdated processes. You’re excited about revolutionizing estate planning with cutting-edge technology. You May Not Be a Great Fit If: * You are primarily a data scientist or ML researcher, rather than a software engineer. While AI and machine learning are key components of this role, we need a strong application developer first. You should be comfortable building production-ready software, integrating AI models into applications, designing APIs, and working with databases. If your experience is mostly in research, data modeling, or experimentation without deploying AI-driven applications, this may not be the right fit. * You prefer working in highly structured, slow-moving environments. At Vanilla, we move fast and iterate quickly. The salary range for this role is $160,000 to $190,000. Our compensation packages also include a performance based bonus and equity. Compensation is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. * Flexible paid time off policy and 10 company-wide paid holidays * Parental leave, 4 weeks for all full-time employees and up to 12 weeks for birthing parents * Medical, dental, and vision benefits coverage for employees and their families * 401K eligibility after one month of employment * Free estate planning documents * Budget for learning & development and home office setup * Paid parking or transit for hybrid and in office employees Vanilla Technologies Inc. (dba "Vanilla") provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. Vanilla participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

About Pinecone Pinecone is the leading vector database for building accurate and performant AI applications at scale in production. Pinecone's mission is to make AI knowledgeable. More than 9000 customers across various industries have shipped AI applications faster and more confidently with Pinecone's developer-friendly technology. Pinecone is based in New York and raised $138M in funding from Andreessen Horowitz, ICONIQ, Menlo Ventures, and Wing Venture Capital. About the Team and Role: We are hiring a senior software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era – knowledge infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. You’ll build the framework that allows our customers to connect knowledge–synthesized from structured and unstructured data–to modern LLM-powered applications, leveraging the world’s best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability. Responsibilities: * Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation * Design and build optimized indexing pipelines for structured and unstructured data * Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration * Improve retrieval quality through evaluation and observability frameworks * Design APIs for internal and external user and agentic consumers * Optimize latency, throughput and cost across large-scale inference and retrieval workloads * Drive technical direction for reliability and security What You’ll Bring to the Table: To thrive in this role, you don't need to check every single box, but you should be deeply passionate about how to turn data into knowledge. Systems Expertise * Architectural Depth: You have a proven track record (typically 6+ years) of shipping production-grade backends for large-scale systems. You don’t just write code; you design for high throughput, low latency, and long-term maintainability. * Data Engineering Savvy: You’re comfortable building high-throughput indexing pipelines that handle both the messy world of unstructured data and the rigid world of structured schemas. AI & Retrieval * Retrieval Intuition: You understand that "search" is more than just a keyword match. You have direct experience (or deep theoretical knowledge) in semantic search, vector databases, hybrid retrieval strategies, or with traditional search engines like Elastic or OpenSearch. * RAG & Orchestration: You understand the nuances of Retrieval-Augmented Generation (RAG) patterns, from embedding pipelines and hybrid search techniques to how query planning and metadata filtering can make or break an LLM's performance. Technical * Language Fluency: You are an expert in at least one major language like Go, Rust, C++, Java, or Python. * Infrastructure: Familiarity and experience with modern infrastructure tools, such as Kubernetes, cloud-native architectures, and observability frameworks, as well as infrastructure-as-code tools like Terraform or Pulumi. Ownership & Impact * Product Thinking: You don't just build to spec; you build for the user. You can design clean, intuitive APIs that both human developers and autonomous agents will love. * Ambiguity Navigator: You’re comfortable in a high-growth environment. You prefer "owning a problem" over "executing a ticket." Bonus Points * Experience building multi-tenant SaaS platforms. * Experience with retrieval evaluation frameworks—knowing how to actually measure "good" search results. * Experience with query planning or agentic reasoning loops (e.g., teaching a system how to break down a complex prompt into multiple specific steps). Perks & Benefits: * Comprehensive health coverage including medical, dental, vision, and mental health resources * 401(k) Plan * Equity award * Flexible time off * Paid parental leave * Annual Company Retreat * WFH Equipment Stipend All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.

About Pinterest: Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product. Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the___ to do your best work. Creating a career you love? It's Possible. At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI. Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process ___. As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest's visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices. Note to applicants: By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process. Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices. What you'll do: • Develop and launch new user features using unique internal datasets and ML techniques, especially in recommendation systems, computer vision, representation learning, generative AI, and responsible AI., • Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems., • Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work., • Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards., • Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation., • Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems, • Write clean, efficient, and sustainable code, • Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers What we're looking for: • This role will be on our Visual Search or Applied Science teams. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Recommendation Systems, Reinforcement Learning, ML efficiency optimization, Generative AI, and LLMs., • Ability to legally work full time (40 hours/week) from September-December 2026, • Working towards a PhD degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field, • Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow), • Proficiency with AI-native engineering, including the design of agent-friendly codebases., • High degree of autonomy in learning new agent-first development tools., • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability., • Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints., • Experience in research and in solving analytical problems, • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields, • Strong passion for research and for answering hard questions with research, • Meaningful Work: Contribute to projects that impact millions of users worldwide., • Mentorship: Learn from and be guided by experienced engineers and researchers in the field., • Growth and Development: Participate in professional development workshops and networking events to build your skills and connections. In-Office Requirement Statement: • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection Information regarding the culture at Pinterest and benefits available for this position can be found___. US based applicants only The salary for this position is $12,100 monthly. #LI-HYBRID #LI-EB1 Our Commitment to Inclusion: Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete___for support.

AI is becoming vitally important in every function of our society. At Scale, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the usage of frontier data and models by building complex agents for enterprises around the world through our Scale Generative Platform (SGP). The SGP ML team works on the front lines of this AI revolution. We interface directly with clients to build cutting edge products using the arsenal of proprietary research and resources developed at Scale. As an Applied AI Engineer, you'll work with clients to create ML solutions to satisfy their business needs. Your work will range from building next-generation AI cybersecurity firewalls to creating transformative AI experiences in journalism to applying foundation genomic models making predictions about life-saving drug proteins. Daily data-driven experiments will provide key insights around model strengths and inefficiencies which you'll use to improve your product's performance. If you are excited about shaping the future of the modern AI movement, we would love to hear from you! You will: • Own, plan, and optimize the AI behind our Enterprise customer's deepest technical problems, • Leverage SGP to build the most advanced AI agents across the industry including multimodal functionality, tool-calling, and more, • Have experience gathering business requirements and translating them into technical solutions, • Meet regularly with customer teams onsite and virtually, collaborating cross-functionally with all teams responsible for their data and ML needs, • Push production code in multiple development environments, writing and debugging code directly in both our customer's and Scale's codebases., • A love for solving deeply complex technical problems with ambiguity using state of the art research and AI to accomplish your client's business goals, • Strong engineering background: a Bachelor's degree in Computer Science, Mathematics, or another quantitative field or equivalent strong engineering background., • Deep familiarity with a data-driven approach when iterating on machine learning models and how changes in datasets can influence model results, • Experience working with cloud technology stack (eg. AWS or GCP) and developing machine learning models in a cloud environment, • Strong knowledge of software engineering best practices, • Have built applications taking advantage of Generative AI in real, production use cases About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

About Scale At Scale AI, our mission is to accelerate the development of AI applications. For 8 years, Scale has been the leading AI data foundry, helping fuel the most exciting advancements in AI, including: generative AI, defense applications, and autonomous vehicles. With our recent Series F round, we're accelerating the abundance of frontier data to pave the road to Artificial General Intelligence (AGI), and building upon our prior model evaluation work with enterprise customers and governments, to deepen our capabilities and offerings for both public and private evaluations. About the ACE team The Agent Capabilities & Environments (ACE) team, part of Scale's Research organization, brings together customer-facing Researchers and Applied AI Engineers. Our core mission includes research on agent environments and RL reward signals, benchmarking autonomous agent performance across real-world scenarios and environments, creating robust data programs to improve Large Language Models (LLMs) agentic capabilities and building foundational tools and frameworks for evaluating models as agents. ACE focuses on autonomous agents that dynamically interact with diverse external environments, including code repositories, GUI interfaces, browsers, and more. About This Role This role is at the intersection of cutting-edge AI research and practical application, with a focus on studying the data types essential for building state-of-the-art agents, such as browser and SWE agents. The ideal candidate will explore the data landscape needed to advance intelligent, adaptable AI agents, guiding the data strategy at Scale to drive innovation. This position requires not only expertise in LLM agents and planning algorithms but also creativity in addressing novel challenges related to data, interaction, and evaluation. You will contribute to impactful research publications on agents, collaborate with customer researchers, and work alongside the engineering team to translate these advancements into real-world, scalable solutions. • Practical experience working with LLMs, with proficiency in frameworks like Pytorch, Jax, or Tensorflow. You should also be adept at interpreting research literature and quickly turning new ideas into prototypes., • A track record of published research in top ML venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICML, ICLR, COLM, etc.), • At least three years of experience addressing sophisticated ML problems, either in a research setting or product development., • Strong written and verbal communication skills and the ability to operate cross-functionally., • Hands-on experience with open source LLM fine-tuning or involvement in bespoke LLM fine-tuning projects using Pytorch/Jax., • Hands-on experience and publications in building applications and evaluations related to AI agents such as tool-use, text2SQL, browser agents, coding agents and GUI agents., • Hands-on experience with agent frameworks such as OpenHands, Swarm, LangGraph, etc., • Familiarity with agentic reasoning methods such as STaR and PLANSEARCH Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$259,200—$324,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research. If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you. You will: • Build and deploy multi-agent systems for agentic reasoning validation, • Develop pipelines to detect errors and scale human judgment, • Combine classical ML, LLMs, and multi-agent techniques for reliability, • Lead research into agent failure modes and ship fixes, • Use AI tools to speed prototyping and iteration, • Build data-driven evaluations and deploy rapid improvements, • PhD or MSc in Computer Science, Mathematics, Statistics, or related field, • 3+ years shipping scaled production ML systems, • Demonstrated real-world impact, • Mastery of PyTorch, TensorFlow, JAX, or scikit-learn, • Deep expertise in agentic LLMs and multi-agent systems, • Strong software engineering and microservices (AWS/GCP), • Rapid, data-driven iteration, • Proficiency using AI tools to accelerate work, • Strong research depth with practical bias, • Experience prototyping agent evaluation/reliability systems, • Human-in-the-loop or annotation pipeline work, • Open-source contributions in agents, evaluation, or alignment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Job Description: We believe in bold ideas, diverse perspectives, and the drive to transform knowledge into impact. Here, your curiosity fuels progress, your voice shapes innovation, and your ambition helps redefine what's possible within science and learning. We are a culture that obsesses over impact, challenges, and drives what's next to power infinite possibilities for our customers, colleagues and society at large. About the Role: Head of Product (Data Analytics & AI) The Opportunity As Group VP, Head of Product, you are the accountable executive owner of Wiley's AI & Data Analytics Business Unit product portfolio-the company's designated second growth engine. The role calls for a product-led operator who pairs strong product craft with commercial instinct to turn strategy into a roadmap that scales based on evidence, not assumption. You own the product portfolio across three connected product lines: AI & Data Analytics Platform Services (including Applied Research Intelligence Platform), Database Solutions (turning Wiley's proprietary reference works and scientific collections into machine-readable data products), and Audience Solutions (evolving advertising and engagement into an AI-powered marketing intelligence product). These are not separate product lines-they share a common platform foundation, and you ensure each area reinforces the others. You report to the Chief AI & Data Analytics Officer and lead product managers and UX across all three product lines. You are the primary interface between commercial GMs and functional leads (Head of Technology, Head of Data Science), partnering with them to turn requirements into capabilities and evidence into roadmap and revenue decisions. Key Responsibilities • Unified Product Strategy & Roadmap: Own an integrated strategy and roadmap across AI & Data Analytics Platform Services, Database Solutions, and Audience Solutions, ensuring the product lines share a common foundation and build on shared capabilities over time., • Commercial Requirements Translation: Own commercial intake, evaluate priorities against strategy, and convert them into a sequenced roadmap with milestones, business cases, and clear launch/hold decisions., • Product Architecture: Design the product architecture to serve corporate buyer demand and near-term revenue opportunities. o Define and sequence Applied Research Intelligence Platform capabilities, including structured extraction and enrichment, knowledge graph construction, enterprise APIs, Model Context Protocol (MCP) access (standard interface for AI agents/tools), rights and entitlements governance, and clean-room execution (privacy-safe analysis environments)., • Lead the productization of Wiley's proprietary scientific collections by transforming legacy-format content into structured, machine-readable, high-margin data products. o Define the product vision for advertising and audience engagement, supported by behavioral analytics that turn Wiley's opted-in first-party audience into sellable insights and signals that inform structured data extraction priorities., • Market Validation & Evidence-Based Prioritization: Define leading indicators for execution and partner with data science and commercial teams to validate the content-depth advantage use case by use case, investing where depth is proven., • Build/Buy/Partner Decisions: Lead the product dimension of the build/buy/partner agenda by defining the commercial framing, strategic rationale, and partner guardrails., • Global Team Management: Lead and develop a high-performing, multi-disciplinary product organization spanning product management, UX, and product strategy, and build the processes and culture required for software-led, enterprise-grade execution., • Strategic Collaboration: Partner with the General Manager, commercial leaders, Head of Data Science, and Head of Technology to ensure the product strategy and roadmap realize the division's AI-powered vision. Required Experience & Qualifications • Enterprise Product Leadership: 15+ years of product management experience, with at least 7 years leading product organizations in enterprise SaaS, data products, or AI/ML platforms. Demonstrated track record of owning a product portfolio from early-stage validation through scaled commercial deployment including revenue achievements, including defining pricing architecture, access models, and product economics., • Commercial Strategy & Positioning: Ability to translate complex technical features into clear, outcome-based value propositions for different buyer personas (e.g., C-Suite vs. End User). Maintain a "Battlecard" mentality; stay ahead of market shifts and competitor movements to influence pricing and packaging strategies. Experience in designing and iterating SaaS pricing models (usage-based, seat-based, or tiered) to maximize Net Revenue Retention (NRR)., • Data & AI Product Depth: Proven experience building and commercializing data products (structured datasets, APIs, knowledge graphs, AI-powered analytics) for enterprise buyers in regulated markets. You understand provenance, rights governance, and compliance (GDPR, CCPA) as product requirements., • Corporate R&D Market Experience: Familiarity with corporate R&D buyers in pharma, biotech, engineering, or adjacent verticals - including their procurement cycles, enterprise integration expectations, and the competitive landscape., • Platform Thinking: Demonstrated ability to run a multi-product portfolio on a shared platform foundation, avoiding one-off solutions that are costly to maintain and don't create long-term customer or revenue value., • Commercial Instinct: Strong grasp of product economics (usage-based pricing, tiered subscriptions, API monetization, data licensing, access controls and usage tracking) and ability to tie product decisions to ARR, NRR, and unit economics., • Interpersonal & Organizational Complexity: Proven ability to lead through shared accountability across commercial, data science, and engineering stakeholders., • Technical Literacy: Working knowledge of modern data stack technologies, API product design, and enterprise integration architectures., • Analytics & Experimentation: Proficiency in product analytics, A/B experimentation, and evidence-based prioritization methodologies., • Enterprise Compliance: Familiarity with enterprise security and privacy standards (SOC2 Type II, ISO 27001, GDPR/CCPA) as product design requirements. We power infinite possibilities. For more than 200 years, we've transformed knowledge into discoveries that shape the world. Today, our global team of innovators, creators, and experts is driving what's next in science, education, and publishing-creating impact that reaches everywhere. We're not just observers of progress. We're the ones accelerating scientific breakthroughs, advancing learning, and sparking innovation that redefines entire fields and improves lives. Here, your talent matters. Your ideas have room to grow. And your work creates breakthroughs that can change everything. Wiley is an equal opportunity/affirmative action employer. We evaluate all qualified applicants and treat all qualified applicants and employees without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, protected veteran status, genetic information, or based on any individual's status in any group or class protected by applicable federal, state or local laws. Wiley is also committed to providing reasonable accommodation to applicants and employees with disabilities. Applicants who require accommodation to participate in the job application process may contact for assistance. We are proud that our workplace promotes continual learning and internal mobility. Our values support courageous teammates, needle movers, and learning champions all while striving to support the health and well-being of all employees. We offer meeting-free Friday afternoons allowing more time for heads down work and professional development, and through a robust body of employee programing we facilitate a wide range of opportunities to foster community, learn, and grow. We are committed to fair, transparent pay, and we strive to provide competitive compensation in addition to a comprehensive benefits package. The range below represents Wiley's good faith and reasonable estimate of the base pay for this role at the time of posting roles either in the United Kingdom, Canada or USA. It is anticipated that most qualified candidates will fall within the range, however the ultimate salary offered for this role may be higher or lower and will be set based on a variety of non-discriminatory factors, including but not limited to, geographic location, skills, and competencies. When applying, please attach your resume/CV to be considered. Salary Range: 218,900 USD to 328,567 USD#LI-JL1 Job Posting Title: Group Vice President, Product Management Location: Hoboken (HQ), NJ, USA

Posting Type Remote/Hybrid Job Overview WHO WE ARE Relativity is a leading legal data intelligence company building technology that helps users organize data, discover the truth, and act on it with confidence. Our AI-powered, cloud platform, RelativityOne, transforms massive volumes of complex information into actionable insights for litigation, investigations, regulatory inquiries, data breach responses, and other highstakes legal work where accuracy, trust, and defensibility are essential. Relativity aiR is redefining document review through agentic AI systems that reason, cite their decisions, and scale across millions of documents. These systems automate complex legal workflows while keeping humans in the loop, enabling legal professionals to focus on what matters most. WHAT WE DO At Relativity, we are building a worldclass Applied Science organization focused on pushing the boundaries of intelligent systems in one of the most demanding and consequential domains: the legal system. Applied Science Team The Applied Science team sits at the core of Relativity's AI development. We are responsible for designing, validating, and operating the intelligent systems behind Relativity aiR. Our work goes far beyond simple model integrations. We build agentic systems that reason over documents, validate decisions statistically, remain auditable and defensible, and operate reliably at massive scale. Trust, reliability, and responsibility are foundational to everything we build. Our team values curiosity, experimentation, rigor, and collaboration. We move quickly, validate assumptions with evidence, and simplify aggressively to deliver systems that are safe, reliable, and impactful in production. Job Description and Requirements ABOUT THE ROLE As a Principal Applied Scientist, Reliability, you will lead the design and validation of intelligent systems that customers can trust in highstakes legal workflows. You will operate endtoend: understanding the problem space, designing solutions, validating them statistically, and bringing them to production in partnership with engineering, product, and customerfacing teams. This role is ideal for an experienced applied scientist who thrives at the intersection of modeling, experimentation, and realworld system reliability, and who is motivated by building AI systems that are not only powerful, but also defensible, interpretable, and safe by design. WHAT YOU'LL DO • Write productionquality code that solves real customer problems and scales cleanly, with systems designed to be easy to ship, operate, and maintain, • Collaborate closely with fellow Applied Scientists as well as Engineers, Product Managers, Designers, and Customers, • Design and execute statistically sound experiments and automate them into reusable benchmarks and evaluation frameworks, • Rapidly prototype AI and MLpowered solutions and mature them into reliable, scalable production models, • Select the appropriate modeling approach for each problem, ranging from classical machine learning techniques to frontier large language models, • Validate model behavior rigorously using evidence, metrics, and experimentation, remaining open to changing course when the data demands it, • Contribute to building intelligent systems that reason, cite their decisions, and operate defensibly at scale, • Help push the boundaries of agentic AI while ensuring systems remain auditable, reliable, and responsible WHAT WE'RE LOOKING FOR • 8+ years of professional experience in applied science, machine learning, or a closely related field, • Master's or Ph.D. in Computer Science, Statistics, Applied Mathematics, or a related quantitative discipline, or equivalent professional experience, • Proven ability to move quickly from prototype to production, simplifying complex ideas into robust systems, • Experience reading, validating, and applying research with a healthy level of skepticism, • Experience across a wide range of modeling techniques, from classical machine learning to largescale generative models, • Familiarity with modern MLOps tooling and practices, including containers, workflow orchestration, deployment patterns, telemetry, and experimentation systems, • Strong Python programming skills and experience with common data and ML libraries such as numpy, PyTorch, scikitlearn, and PySpark, • Strong communication skills, with the ability to explain complex technical concepts clearly to both technical and nontechnical audiences, • Endtoend ownership mindset, with the ability to understand new problem spaces, design solutions, and bring them to market alongside engineering, product, and support partners, • A collaborative, curious, and adaptable approach, with comfort leading, questioning assumptions, and learning from failure WHY WE COULD BE A GREAT FIT HighImpact Problems • Competitive compensation, health and retirement programs, discretionary time off (DTO), parental leave for primary and secondary caregivers, companywide breaks, wellness resources, and an equity program. Relativity is committed to competitive, fair, and equitable compensation practices. This position is eligible for total compensation which includes a competitive base salary, an annual performance bonus, and long-term incentives. The expected salary range for this role is between following values: $224,000 and $336,000 The final offered salary will be based on several factors, including but not limited to the candidate's depth of experience, skill set, qualifications, and internal pay equity. Hiring at the top end of the range would not be typical, to allow for future meaningful salary growth in this position. Required Skills: Algorithms, Data Analysis, Machine Learning (ML), Natural Language, Python (Programming Language), Reinforcement Learning, Researching, Scientific Writing, Statistical Models, Technical Leadership