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Location: Lanham, MD Luminis Health - Laboratories Title:  Supervisor - Pathology Department:  Core Laboratory Reports To:   Director - Laboratory (20200-20005-000018) Cost Center/Job Code:  20200-20005-002185 FLSA Status:  Non-Exempt Position Objective: In conjunction with the department leadership, this position supervises the operations of the designated laboratory area including adherence to technical, regulatory, and quality components. Ensures that all work is organized and handled in accordance with departmental protocols and serves as a resource to staff. This position has authority to perform supervisory duties including but not limited to hiring, evaluating performance, issuing final disciplinary actions under the review of Human Resources, and recommending discharge in collaboration with members of management and Human Resources Essential Job Duties: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Provided leadership and mentorship to laboratory staff, fostering a positive and collaborative work environment. Schedule and assign tasks to ensure optimal staffing levels and efficient workflow. Participate in performance evaluations and provide feedback to team members. Coordinate recruitment, training and onboarding of new staff. Oversee quality control measures to maintain the accuracy and precision of lab tests. Ensure compliance with all relevant regulatory agencies, as applicable (CAP, AABB, CLIA, etc.). Participates in audits and inspections, addressing any deficiencies promptly. Develop and update standard operating procedures (SOPs) as needed. Maintain and troubleshoot laboratory instruments and equipment. Coordinate equipment maintenance schedules and ensure adherence. Identify need for equipment upgrades or replacements and participate in the selection process. Monitor and manage laboratory supplies, reagents, and consumables. Place orders, receive deliveries, and maintain adequate stock levels. Minimize waste and control costs related to inventory management. Ensure compliance with safety protocols and regulations. Conduct safety training for lab personnel and maintain a safe working environment. Respond to and investigate any incidents or accidents. Perform tests that require complex network of steps and variables, independent judgement and interpretation while working the bench in the assigned area of the department. Oversee the accurate recording and reporting of test results. Identify opportunities for process improvement and implement best practices. Participate in quality improvement initiatives and projects. Serve as a technical resource. Maintains the management of multiple projects and ensures goals and timelines are met. Anticipates and prevents problems independently by taking corrective actions before crises occur. Takes appropriate steps to resolve. Recognizes non-standard situations, notifies supervisor, if applicable, and documents all corrective actions taken when test systems or processes deviate from the laboratory’s established protocols. Participates in the annual operating and capital budget cycles. Develops strategies to support financial stewardship and meet financial targets. Educational/Experience Requirements: Required Minimum Education: Bachelor’s Degree from an accredited college or university with course work sufficient to meet the requirements of the American Society of Clinical Pathology (ASCP) for Board of Certification as a technician, technologist/scientist, or specialist (excluding DPT, MLA, PBT). Required Minimum Experience : Two years of experience working in an acute care facility in a similar role, preferred. Required License/Certifications: MLS(ASCP), MT(ASCP), HTL(ASCP) categorical or specialist (ASCP), MT(HEW), or MT(AMT); preferred OR MLT(ASCP) or HT(ASCP) with seven years working in a similar role Knowledge, Skills, Abilities: Ability to work cooperatively with all types of personalities both inside and outside the organization. Working Conditions, Equipment, Physical Demands: Physical Demands – Medium Duty The physical demands and work environment that have been described are representative of those an employee encounters while performing the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions in accordance with the Americans with Disabilities Act. There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements. Pay Range $31.67 — $65.55 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: CA - Canada Scopely is looking for a Performance Marketing Manager, Forecasting & Market Intelligence, to join our Performance Marketing team in Canada on a remote basis. At Scopely, we care deeply about what we do and want to inspire play every day, whether in our work environments alongside our talented colleagues or through our deep connections with our communities of players. We are a global team of game lovers developing, publishing, and innovating across the games industry, connecting millions of people around the world daily. The Performance Marketing team helps drive sustainable player growth across Scopely’s portfolio. This role will sit at the intersection of performance marketing, forecasting, competitive intelligence, and market research, supporting active and upcoming Slate titles as they move from early planning through testing, soft launch, and global launch. What You Will Do You will build the analytical foundation behind UA forecasts and growth plans: identifying the right comparable titles, developing market and geo assumptions, maintaining benchmarks, tracking competitive signals, and turning incomplete information into structured first-pass recommendations. This is a highly analytical role for someone who enjoys working through ambiguity and can challenge, validate, and refine assumptions rather than taking inputs at face value. Develop first-pass performance marketing forecasts and supporting inputs for upcoming Slate titles, including install curves, geo-tier views, channel assumptions, paid and organic assumptions, and launch phasing. Build and maintain relevant comparable game-peer sets based on genre, monetization model, platform, geo mix, audience, launch strategy, creative approach, and expected scale. Develop and maintain dCPI benchmarks and degradation curves, combining Scopely historical performance, partner benchmarks, competitor data, and external market signals. Support organic forecasting by developing assumptions around baseline organic demand, paid-driven lift, launch/IP halo, virality, and organic-to-paid ratios. Build sensitivity analyses that make the impact of key assumptions clear and help teams understand the range of potential outcomes. Track competitor UA investment, creative trends, app-store movement, channel activity, launch performance, and regional signals across relevant games and genres. Produce recurring market-intelligence and competitive-pulse readouts that identify meaningful changes in the market and potential implications for Slate titles. Incorporate learnings from market research, beta acquisition, creative and audience testing, soft launch, and other pre-launch signals into forecast assumptions. Support regional opportunity sizing and geo strategy, including differences in acquisition cost, scale, organic potential, and market dynamics. Maintain clear assumption logs, source documentation, version history, confidence levels, and open questions so forecasts are auditable and reusable. Partner closely with Performance Marketing, Product, Strategic Marketing, Finance, Analytics, and other stakeholders to gather inputs and pressure-test assumptions. Proactively identify gaps, risks, or inconsistencies in forecasts and surface them before they become downstream planning issues. Support ad hoc Slate analyses and leadership requests with structured research, quantitative analysis, and clear first-pass readouts. Help improve and standardize forecasting methodologies, benchmark libraries, and analytical processes across Slate over time. What We’re Looking For Strong experience in performance marketing, growth, marketing analytics, strategy, market intelligence, or a similarly analytical role, ideally within mobile games, mobile apps, or another consumer digital business. Strong understanding of mobile user acquisition fundamentals, including CPI, LTV, ROAS, retention, organic acquisition, channel mix, attribution, and marginal economics. Excellent analytical skills and the ability to turn incomplete or ambiguous information into structured assumptions and useful recommendations. Strong Excel / Google Sheets skills, including building and auditing analytical models, sensitivity analyses, and forecast frameworks. Strong attention to detail and a high bar for model integrity, source quality, and assumption validation. Ability to independently pressure-test data and assumptions rather than accepting outputs at face value. Experience working with multiple data sources, including internal performance data, third-party market intelligence tools, partner benchmarks, and competitive research. Ability to communicate analytical findings clearly to both technical and non-technical stakeholders. Strong cross-functional working style and comfort partnering with teams across Marketing, Product, Finance, Analytics, and leadership. Curiosity about the games market and a desire to understand why titles grow, why acquisition economics differ, and how launch dynamics evolve over time. Ability to manage multiple concurrent workstreams and operate effectively with limited oversight. Comfortable using AI and other analytical tools to accelerate research and analysis, while maintaining independent judgment and thoroughly validating outputs. Bonus Points You are an avid gamer who understands products from a user’s perspective. Direct experience forecasting or supporting the launch of mobile games or consumer apps. Experience with tools such as Sensor Tower, data.ai, AppMagic, Looker, Appsflyer, Adjust, or similar platforms. Familiarity with global mobile UA markets and meaningful differences across the US, Tier 1 Western markets, Asia, and emerging regions. Experience analyzing competitor launches, creative strategy, market sizing, or portfolio-level performance. Familiarity with pre-launch testing, soft-launch methodology, or forecasting games with licensed or globally recognized IP. For candidates in British Columbia, the annual salary range is provided below. In addition to base pay, employees may be eligible for equity, bonuses, and a comprehensive benefits package, including healthcare benefits, retirement benefits, pet insurance, paid holidays, paid Scopely free days, and unlimited paid time off. Base pay offered may vary depending on job-related knowledge, skills, and experience. British Columbia Annual Salary Range $75,000 — $137,000 CAD About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the "100 Most Influential Companies in the World" by TIME magazine and one of Fast Company's "World's Most Innovative Companies" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/ . Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @ scopely.com . Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice . Employment at Scopely is based solely on a person's merit and qualifications. Scopely does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.

Location: New York WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey ships fast, and our customers tell us constantly what's working and what isn't — through CSMs, support, sales, and early-access programs. Today that signal lives in a hundred places and reaches Product inconsistently, and the systems that let the EPD organization plan, review, and fix things at scale are still being built. You will own those systems: a single Voice of the Customer program that turns scattered feedback into structured, trusted input for every product team; a bug management process that gets defects triaged, prioritized, and resolved predictably; and the operating rhythm that keeps Engineering, Product, and Design aligned. You own the infrastructure and cadence; embedded Product Operations Managers own the interpretation and day-to-day judgment for their product areas. WHAT YOU'LL DO VOICE OF THE CUSTOMER PROGRAM - Design and stand up the end-to-end feedback pipeline: intake from CS, Support, Sales, and EAPs into one structured system - Partner with RevOps to design & implement tooling; define the workflows that make submitting feedback the easy default for field teams - Set the weekly triage cadence and SLAs so every piece of signal is classified, routed, and visible - Build reporting that Product, GTM, and leadership actually read — volume, themes, trends, and what changed - Own the classification model: product area, matter stage, root cause (missing capability, defect, or usability friction) - Give Design and Research standing views into the signal that matters to them PRODUCT OPERATING RHYTHM - Design and run the core engineering, product & design rituals: planning cycles, roadmap reviews, design reviews, and monthly business reviews - Build the run-of-business systems that scale as Harvey grows — intake frameworks, RACI structures, decision logs, shared calendars - Facilitate roadmap planning by coordinating inputs across Product, Engineering, Design, and GTM and maintaining transparency across the org - Make it clear across Harvey what EPD is building, how it's progressing, and what's coming next - Own the end-to-end bug lifecycle: intake from Support and the field, severity definitions, triage, routing to engineering teams, and resolution tracking - Define severity and SLA standards that CS, Support, and Engineering all agree to and can see - Run the recurring bug review with engineering and product leads; escalate aging or customer-impacting defects - Report bug volume, aging, and resolution trends by product area, and connect defect signal back into the Voice of the Customer taxonomy - Close the loop with Support and CS so customers hear when their issue is fixed WHAT YOU HAVE - 5+ years in program management, product operations, or a related operational role at a high-growth tech or SaaS company - You've built processes and programs from scratch and scaled them — not just inherited and maintained them - Hands-on experience running bug triage or incident/defect management processes across Engineering and Support - Experience designing and facilitating product development rituals — planning, reviews, prioritization — with senior engineering and design leaders - Deep fluency with feedback, ticketing, and data tooling; you're comfortable owning a taxonomy and the systems that enforce it - Ability to translate messy qualitative and quantitative input into clear, structured outputs - Proven ability to drive alignment and adoption across CS, Support, Sales, Product, and Engineering without direct authority - Experience with AI-native or highly technical products is a plus - You create clarity where none exists, and you're energized by a blank slate COMPENSATION $155,400 - $233,200 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-CD1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW Harvey ships fast, and our customers tell us constantly what's working and what isn't — through CSMs, support, sales, and early-access programs. Today that signal lives in a hundred places and reaches Product inconsistently, and the systems that let the EPD organization plan, review, and fix things at scale are still being built. You will own those systems: a single Voice of the Customer program that turns scattered feedback into structured, trusted input for every product team; a bug management process that gets defects triaged, prioritized, and resolved predictably; and the operating rhythm that keeps Engineering, Product, and Design aligned. You own the infrastructure and cadence; embedded Product Operations Managers own the interpretation and day-to-day judgment for their product areas. WHAT YOU'LL DO VOICE OF THE CUSTOMER PROGRAM - Design and stand up the end-to-end feedback pipeline: intake from CS, Support, Sales, and EAPs into one structured system - Partner with RevOps to design & implement tooling; define the workflows that make submitting feedback the easy default for field teams - Set the weekly triage cadence and SLAs so every piece of signal is classified, routed, and visible - Build reporting that Product, GTM, and leadership actually read — volume, themes, trends, and what changed - Own the classification model: product area, matter stage, root cause (missing capability, defect, or usability friction) - Give Design and Research standing views into the signal that matters to them PRODUCT OPERATING RHYTHM - Design and run the core engineering, product & design rituals: planning cycles, roadmap reviews, design reviews, and monthly business reviews - Build the run-of-business systems that scale as Harvey grows — intake frameworks, RACI structures, decision logs, shared calendars - Facilitate roadmap planning by coordinating inputs across Product, Engineering, Design, and GTM and maintaining transparency across the org - Make it clear across Harvey what EPD is building, how it's progressing, and what's coming next - Own the end-to-end bug lifecycle: intake from Support and the field, severity definitions, triage, routing to engineering teams, and resolution tracking - Define severity and SLA standards that CS, Support, and Engineering all agree to and can see - Run the recurring bug review with engineering and product leads; escalate aging or customer-impacting defects - Report bug volume, aging, and resolution trends by product area, and connect defect signal back into the Voice of the Customer taxonomy - Close the loop with Support and CS so customers hear when their issue is fixed WHAT YOU HAVE - 5+ years in program management, product operations, or a related operational role at a high-growth tech or SaaS company - You've built processes and programs from scratch and scaled them — not just inherited and maintained them - Hands-on experience running bug triage or incident/defect management processes across Engineering and Support - Experience designing and facilitating product development rituals — planning, reviews, prioritization — with senior engineering and design leaders - Deep fluency with feedback, ticketing, and data tooling; you're comfortable owning a taxonomy and the systems that enforce it - Ability to translate messy qualitative and quantitative input into clear, structured outputs - Proven ability to drive alignment and adoption across CS, Support, Sales, Product, and Engineering without direct authority - Experience with AI-native or highly technical products is a plus - You create clarity where none exists, and you're energized by a blank slate COMPENSATION $155,400 - $233,200 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-CD1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Remote Workplace: Remote WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We're looking for a Lead Product Owner, Finance Systems to own the systems and workflows that power Harvey's finance organization as we scale globally. This role sits at the center of our finance technology portfolio: NetSuite as the ERP core, Zip for procurement intake and approvals, Ramp and Brex for spend and card programs, and Metronome for usage-based billing. You'll help shape the roadmap across that portfolio, prioritize competing demands, and drive changes from discovery through deployment, all in an agile and high-growth environment. You'll partner closely with Accounting, FP&A, Revenue Operations, Procurement, and Tax, as well as teams across Business Technology (where the Finance Systems team lives) and Security, to translate business needs into scalable, well-governed solutions. This role is as much advisory as it is technical and hands-on: you'll bring thought leadership to the finance org, sit with stakeholders to understand complex and often ambiguous business problems, solution design the tools and automations, and then execute hands-on in the toolstack. WHAT YOU'LL DO - Act as the product owner for one or more of Harvey's core finance business process areas (order-to-cash, procure-to-pay, and/or record-to-report), along with the systems that serve them. Run discovery with process owners, define target-state process and system design, own the roadmap, and measure success based on value add output and accuracy. - Lead the hardest problems in your domain, where there's no established pattern to configure against. That could be international expansion and the entity, currency, tax, and statutory complexity that comes with it, or new product offerings where pricing, billing model, and revenue recognition treatment have to be designed together. - Develop and maintain a holistic architecture strategy for the finance applications ecosystem: where each system's boundaries sit, how data moves between them, and what Harvey will need short, mid and long term. Work with the owners of adjacent enterprise systems, including Workday and Salesforce, on the integrations and handoffs finance depends on. - Find manual work and eliminate it, replacing spreadsheets, manual data entry, and email-based approvals with core configuration, automated workflows and integrations. Evaluate new functionality within existing and/or new tooling for best fit at Harvey. - Configure, maintain, and optimize NetSuite and, dependent on business process ownership determined, own the spend and revenue system workflows that feed the ledger: Zip intake and approvals, Ramp and Brex card programs and expenses, Metronome usage ingestion and downstream invoicing logic, and future tooling for advanced revenue recognition. Understand, advise and execute on data flows, as well as the upstream product and company-wide data sources that revenue reporting depends on. - Identify, test, and implement practical AI and automation opportunities across the processes you own in a controlled manner, with clear resulting impact of time savings and manual output eliminated. - Own quality across your applications, ensuring lightweight SDLC to balance accuracy and agility. Partner with leadership to set best practices and serve as the mentor and escalation point for peers across Finance and Business Technology on the portfolio's hardest design questions. WHAT YOU HAVE - 7+ years of hands-on experience as a finance systems professional, including 5+ years of direct NetSuite experience with demonstrated complex configuration depth and supporting a global, multi-entity and multi-currency finance organization. - Product owner or product manager experience in at least one core finance business process area (order-to-cash, procure-to-pay, and/or record-to-report), with extensive depth in that domain: discovery with process owners, target-state process design, proposing tradeoffs or workarounds, and owning a roadmap through delivery. Familiarity with the adjacent areas matters more than equal depth in all three. - Excellent communication and stakeholder management skills at various levels of the business and technology organizations: adapting how you make a case depending on the audience, building alignment across cross-functional teams, and saying no to a request and explaining why. A track record of mentoring peers, setting technical standards, or being the expert others escalate to on hard problems. - Demonstrated ability to solve ambiguous, high-stakes process problems without an existing playbook, operating with a high degree of autonomy while knowing when to pull others in on high-impact decisions. Examples include international expansion and multi-entity or multi-currency complexity, or new product offerings where pricing, billing model, and revenue recognition treatment have to be designed together. - Deep understanding of leading and emerging trends in SaaS finance applications and architecture, including where automation and AI are truly driving innovation. - Direct experience implementing best practices around change management, regression and UAT planning, segregation of duties, and regulatory requirements, while increasing efficiencies. COMPENSATION $175,000 - $225,500 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. [#LI-RB1] Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We're looking for a Lead Product Owner, Finance Systems to own the systems and workflows that power Harvey's finance organization as we scale globally. This role sits at the center of our finance technology portfolio: NetSuite as the ERP core, Zip for procurement intake and approvals, Ramp and Brex for spend and card programs, and Metronome for usage-based billing. You'll help shape the roadmap across that portfolio, prioritize competing demands, and drive changes from discovery through deployment, all in an agile and high-growth environment. You'll partner closely with Accounting, FP&A, Revenue Operations, Procurement, and Tax, as well as teams across Business Technology (where the Finance Systems team lives) and Security, to translate business needs into scalable, well-governed solutions. This role is as much advisory as it is technical and hands-on: you'll bring thought leadership to the finance org, sit with stakeholders to understand complex and often ambiguous business problems, solution design the tools and automations, and then execute hands-on in the toolstack. WHAT YOU'LL DO - Act as the product owner for one or more of Harvey's core finance business process areas (order-to-cash, procure-to-pay, and/or record-to-report), along with the systems that serve them. Run discovery with process owners, define target-state process and system design, own the roadmap, and measure success based on value add output and accuracy. - Lead the hardest problems in your domain, where there's no established pattern to configure against. That could be international expansion and the entity, currency, tax, and statutory complexity that comes with it, or new product offerings where pricing, billing model, and revenue recognition treatment have to be designed together. - Develop and maintain a holistic architecture strategy for the finance applications ecosystem: where each system's boundaries sit, how data moves between them, and what Harvey will need short, mid and long term. Work with the owners of adjacent enterprise systems, including Workday and Salesforce, on the integrations and handoffs finance depends on. - Find manual work and eliminate it, replacing spreadsheets, manual data entry, and email-based approvals with core configuration, automated workflows and integrations. Evaluate new functionality within existing and/or new tooling for best fit at Harvey. - Configure, maintain, and optimize NetSuite and, dependent on business process ownership determined, own the spend and revenue system workflows that feed the ledger: Zip intake and approvals, Ramp and Brex card programs and expenses, Metronome usage ingestion and downstream invoicing logic, and future tooling for advanced revenue recognition. Understand, advise and execute on data flows, as well as the upstream product and company-wide data sources that revenue reporting depends on. - Identify, test, and implement practical AI and automation opportunities across the processes you own in a controlled manner, with clear resulting impact of time savings and manual output eliminated. - Own quality across your applications, ensuring lightweight SDLC to balance accuracy and agility. Partner with leadership to set best practices and serve as the mentor and escalation point for peers across Finance and Business Technology on the portfolio's hardest design questions. WHAT YOU HAVE - 7+ years of hands-on experience as a finance systems professional, including 5+ years of direct NetSuite experience with demonstrated complex configuration depth and supporting a global, multi-entity and multi-currency finance organization. - Product owner or product manager experience in at least one core finance business process area (order-to-cash, procure-to-pay, and/or record-to-report), with extensive depth in that domain: discovery with process owners, target-state process design, proposing tradeoffs or workarounds, and owning a roadmap through delivery. Familiarity with the adjacent areas matters more than equal depth in all three. - Excellent communication and stakeholder management skills at various levels of the business and technology organizations: adapting how you make a case depending on the audience, building alignment across cross-functional teams, and saying no to a request and explaining why. A track record of mentoring peers, setting technical standards, or being the expert others escalate to on hard problems. - Demonstrated ability to solve ambiguous, high-stakes process problems without an existing playbook, operating with a high degree of autonomy while knowing when to pull others in on high-impact decisions. Examples include international expansion and multi-entity or multi-currency complexity, or new product offerings where pricing, billing model, and revenue recognition treatment have to be designed together. - Deep understanding of leading and emerging trends in SaaS finance applications and architecture, including where automation and AI are truly driving innovation. - Direct experience implementing best practices around change management, regression and UAT planning, segregation of duties, and regulatory requirements, while increasing efficiencies. COMPENSATION $175,000 - $225,500 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. [#LI-RB1] Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We're looking for a Lead Product Owner, Finance Systems to own the systems and workflows that power Harvey's finance organization as we scale globally. This role sits at the center of our finance technology portfolio: NetSuite as the ERP core, Zip for procurement intake and approvals, Ramp and Brex for spend and card programs, and Metronome for usage-based billing. You'll help shape the roadmap across that portfolio, prioritize competing demands, and drive changes from discovery through deployment, all in an agile and high-growth environment. You'll partner closely with Accounting, FP&A, Revenue Operations, Procurement, and Tax, as well as teams across Business Technology (where the Finance Systems team lives) and Security, to translate business needs into scalable, well-governed solutions. This role is as much advisory as it is technical and hands-on: you'll bring thought leadership to the finance org, sit with stakeholders to understand complex and often ambiguous business problems, solution design the tools and automations, and then execute hands-on in the toolstack. WHAT YOU'LL DO - Act as the product owner for one or more of Harvey's core finance business process areas (order-to-cash, procure-to-pay, and/or record-to-report), along with the systems that serve them. Run discovery with process owners, define target-state process and system design, own the roadmap, and measure success based on value add output and accuracy. - Lead the hardest problems in your domain, where there's no established pattern to configure against. That could be international expansion and the entity, currency, tax, and statutory complexity that comes with it, or new product offerings where pricing, billing model, and revenue recognition treatment have to be designed together. - Develop and maintain a holistic architecture strategy for the finance applications ecosystem: where each system's boundaries sit, how data moves between them, and what Harvey will need short, mid and long term. Work with the owners of adjacent enterprise systems, including Workday and Salesforce, on the integrations and handoffs finance depends on. - Find manual work and eliminate it, replacing spreadsheets, manual data entry, and email-based approvals with core configuration, automated workflows and integrations. Evaluate new functionality within existing and/or new tooling for best fit at Harvey. - Configure, maintain, and optimize NetSuite and, dependent on business process ownership determined, own the spend and revenue system workflows that feed the ledger: Zip intake and approvals, Ramp and Brex card programs and expenses, Metronome usage ingestion and downstream invoicing logic, and future tooling for advanced revenue recognition. Understand, advise and execute on data flows, as well as the upstream product and company-wide data sources that revenue reporting depends on. - Identify, test, and implement practical AI and automation opportunities across the processes you own in a controlled manner, with clear resulting impact of time savings and manual output eliminated. - Own quality across your applications, ensuring lightweight SDLC to balance accuracy and agility. Partner with leadership to set best practices and serve as the mentor and escalation point for peers across Finance and Business Technology on the portfolio's hardest design questions. WHAT YOU HAVE - 7+ years of hands-on experience as a finance systems professional, including 5+ years of direct NetSuite experience with demonstrated complex configuration depth and supporting a global, multi-entity and multi-currency finance organization. - Product owner or product manager experience in at least one core finance business process area (order-to-cash, procure-to-pay, and/or record-to-report), with extensive depth in that domain: discovery with process owners, target-state process design, proposing tradeoffs or workarounds, and owning a roadmap through delivery. Familiarity with the adjacent areas matters more than equal depth in all three. - Excellent communication and stakeholder management skills at various levels of the business and technology organizations: adapting how you make a case depending on the audience, building alignment across cross-functional teams, and saying no to a request and explaining why. A track record of mentoring peers, setting technical standards, or being the expert others escalate to on hard problems. - Demonstrated ability to solve ambiguous, high-stakes process problems without an existing playbook, operating with a high degree of autonomy while knowing when to pull others in on high-impact decisions. Examples include international expansion and multi-entity or multi-currency complexity, or new product offerings where pricing, billing model, and revenue recognition treatment have to be designed together. - Deep understanding of leading and emerging trends in SaaS finance applications and architecture, including where automation and AI are truly driving innovation. - Direct experience implementing best practices around change management, regression and UAT planning, segregation of duties, and regulatory requirements, while increasing efficiencies. COMPENSATION $170,000 - $225,500 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. [#LI-RB1] Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing is seeking exceptional Research Scientists to join our research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier evaluation, synthetic data, hallucination and reliability, and agentic science . We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them. What You'll Do Frontier benchmarks and evaluation Identify high-impact gaps in existing benchmark and evaluation literature. Design novel benchmarks in and across STEM fields and on general model functionality. Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks. Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies. Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models. Synthetic data and post-training Develop methods for generating high-quality synthetic STEM training data. Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance. Explore methods for generating useful training signal in domains where expert human data is scarce or expensive. Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume. Hallucination, reliability, and verification Study hallucination, uncertainty, calibration, and epistemic failure in technical domains. Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention. Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know. Agentic science Research AI systems capable of performing extended scientific and technical work. Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning. Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research. Explore new approaches to human-AI and multi-agent scientific collaboration. New research directions The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities. What We’re Looking For PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field . Demonstrated ability to formulate and execute original research. Strong understanding of modern LLMs and the frontier AI research landscape. Excellent experimental design, quantitative reasoning, and scientific judgment. Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas. Strong Python skills and the ability to independently build research prototypes and evaluation pipelines. Excellent technical writing and communication. Comfort working in a fast-moving environment where the research agenda evolves with the frontier. A strong publication record is valuable, but we care most about whether you can identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter . A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $400,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing is seeking exceptional Research Scientists to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science . We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them. What You'll Do Frontier benchmarks and evaluation Identify high-impact gaps in existing benchmark and evaluation literature. Design novel benchmarks in and across STEM fields and on general model functionality. Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks. Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies. Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models. Synthetic data and post-training Develop methods for generating high-quality synthetic STEM training data. Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance. Explore methods for generating useful training signal in domains where expert human data is scarce or expensive. Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume. Hallucination, reliability, and verification Study hallucination, uncertainty, calibration, and epistemic failure in technical domains. Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention. Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know. Agentic science Research AI systems capable of performing extended scientific and technical work. Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning. Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research. Explore new approaches to human-AI and multi-agent scientific collaboration. New research directions The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities. What We’re Looking For PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field . Demonstrated ability to formulate and execute original research. Strong understanding of modern LLMs and the frontier AI research landscape. Excellent experimental design, quantitative reasoning, and scientific judgment. Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas. Strong Python skills and the ability to independently build research prototypes and evaluation pipelines. Excellent technical writing and communication. Comfort working in a fast-moving environment where the research agenda evolves with the frontier. A strong publication record is valuable, but we care most about whether you can identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter . A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing is seeking exceptional AI Research Scientists to join our STEM research organization and develop new ways to evaluate, train, and improve frontier AI systems. This is a research-first role focused on problems where the right benchmark, dataset, or methodology often does not yet exist. You will identify important gaps in the literature, propose ambitious new research directions, and take projects from initial hypothesis through experimentation, benchmark construction, and publication. Our research is deliberately focused on frontier STEM evaluation, synthetic data, hallucination and reliability, and agentic science . We are looking for scientists who can recognize important problems early, formulate them precisely, and design rigorous research programs to answer them. What You'll Do Frontier benchmarks and evaluation Identify high-impact gaps in existing benchmark and evaluation literature. Design novel benchmarks in and across STEM fields and on general model functionality. Develop evaluations for emerging model capabilities that are poorly captured by traditional static benchmarks. Design rigorous task-generation, grading, contamination-control, difficulty-calibration, and validation methodologies. Build benchmarks that can become both valuable research contributions and meaningful standards for evaluating frontier models. Synthetic data and post-training Develop methods for generating high-quality synthetic STEM training data. Study how task selection, difficulty, diversity, verification, filtering, and data quality affect downstream performance. Explore methods for generating useful training signal in domains where expert human data is scarce or expensive. Design experiments that determine when synthetic data genuinely improves capabilities rather than simply increasing training volume. Hallucination, reliability, and verification Study hallucination, uncertainty, calibration, and epistemic failure in technical domains. Develop evaluations and methods for improving factual reliability, self-correction, verification, citation, and appropriate abstention. Investigate when models should reason internally, invoke tools, seek external evidence, or recognize that they do not know. Agentic science Research AI systems capable of performing extended scientific and technical work. Develop workflows involving literature search, coding, simulation, tool use, experimentation, verification, and iterative reasoning. Evaluate long-horizon scientific agents and identify the bottlenecks preventing them from reliably performing real research. Explore new approaches to human-AI and multi-agent scientific collaboration. New research directions The areas above are our core focus, not an exhaustive list. Researchers will also have significant latitude to propose new programs in areas such as reasoning, model evaluation, AI-for-science, data generation, and emerging capabilities. What We’re Looking For PhD or equivalent research experience in machine learning, computer science, mathematics, physics, chemistry, biology, engineering, statistics, or another highly technical field . Demonstrated ability to formulate and execute original research. Strong understanding of modern LLMs and the frontier AI research landscape. Excellent experimental design, quantitative reasoning, and scientific judgment. Ability to rapidly understand unfamiliar technical literature and develop expertise in new areas. Strong Python skills and the ability to independently build research prototypes and evaluation pipelines. Excellent technical writing and communication. Comfort working in a fast-moving environment where the research agenda evolves with the frontier. A strong publication record is valuable, but we care most about whether you can identify important questions, design rigorous ways to answer them, and execute quickly enough for the results to matter . A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $150,000 to $300,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . The Role Turing builds large-scale datasets and reinforcement learning (RL) environments that power post-training for the world’s leading AI labs and enterprises. We create RL environments to evaluate and improve our customers' models on complex, long-range, multi-step workflows across high-GDP-value domains such as Finance, Sales, Retail, Developer Tools, Collaboration, Customer Experience. The environments vary depending on the model capability being evaluated / improved, a few examples of environment types are listed here: Environments for Software Engineering / coding agents UI-Environments for Computer-Use/Browser-Use agents MCP-based Environments for general function-calling agents across various enterprise and consumer applications We are seeking Research Engineers to advance our understanding of frontier AI systems and develop practical innovations in data, algorithms, evaluation, and training. You will work at the intersection of research and engineering, investigating high-impact questions that improve real-world AI systems. You will design and run rigorous experiments, develop research-grade prototypes and tooling, and collaborate with Research, Engineering, Product, and Operations teams to translate promising ideas into scalable applications. This role offers the opportunity to contribute to both foundational research and applied AI development across synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. What You’ll Do 1. Conduct Research on Frontier AI Systems Investigate the capabilities, limitations, and training methods of frontier AI systems. Formulate research questions that can inform Turing’s products, platforms, and technical strategy. Explore new approaches to synthetic and agentic data generation, reinforcement learning, post-training, model understanding, benchmarks, and evaluation. Stay current with advances in machine learning and identify opportunities for meaningful technical contribution. 2. Build and Evaluate Research Systems Develop research-grade datasets, experiments, prototypes, tooling, and evaluation frameworks. Train, test, and evaluate models using modern AI and machine learning tools. Analyze results carefully and draw clear, evidence-based conclusions. Establish sound practices for experimental rigor, data quality, reproducibility, and interpretation. Iterate quickly from early hypothesis through validated technical insight. 3. Translate Research into Practical Impact Collaborate closely with Research, Engineering, Product, and Operations teams. Translate research findings into improvements for Turing’s products, platforms, and AI capabilities. Help identify which ideas are ready to move from exploration into scalable, real-world applications. Communicate technical findings clearly to both specialized and cross-functional audiences. 4. Contribute to the Research Community Share findings through technical reports, publications, open-source work, workshops, or conference participation where appropriate. Contribute to Turing’s research culture through technical discussions, peer review, mentorship, and collaboration. Represent Turing thoughtfully within the broader AI research community. What We’re Looking For Research background: PhD or Master’s degree in artificial intelligence, machine learning, computer science, or a closely related technical field; exceptional equivalent research experience will also be considered. Technical depth: Strong foundation in machine learning and practical experience designing experiments, training or evaluating models, and working with modern AI tooling. Relevant expertise: Demonstrated research experience in synthetic or agentic data generation, reinforcement learning or post-training, AI understanding, evaluation, or benchmarks. Research engineering ability: Strong programming skills and the ability to implement, test, and iterate quickly in a research environment. Scientific judgment: Sound judgment around experimental rigor, data quality, reproducibility, and evidence-based decision-making. Communication and collaboration: Clear written and verbal communication skills, intellectual curiosity, and the ability to work effectively across research and engineering teams. A note from our CTO, Ece Kamar Some of the most important questions in AI can't be answered from inside a single lab: how to evaluate frontier models, how data and RL truly drive capability, and what happens when AI meets the real world. At Turing, we work directly with frontier labs, the academic community, and enterprises deploying AI at scale. That creates a feedback loop where deployment shapes our research and our research shapes the field, and we publish our findings, datasets, and benchmarks openly. Join our talented team at Turing to push the frontier of AI with rigorous science that matters. Why Turing Work directly with leading AI labs and enterprises at the frontier of post-training and RL environment design. Build datasets and environments that directly improve the capabilities of advanced AI systems. Help advance coding agents’ ability to understand, plan, and execute complex software-engineering tasks. Apply frontier AI innovations to high-value enterprise workflows. Operate with high autonomy, rapid iteration, and meaningful commercial impact. Collaborate with exceptional colleagues from organizations including Google, Meta, Amazon, and other leading technology companies. Contribute to research that may be shared through technical publications and leading conferences such as ICLR, ICML, and NeurIPS. Compensation: $250,000 to $350,000 OTE + Equity Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: United Kingdom; Spain; Netherlands; Poland Workplace: remote Head of Editorial   About the Role Finom is looking for a Head of Editorial to own the words across the Finom experience. We'll be direct with you, because we'd rather you hear it from us than discover it in the first week: our copy isn't good enough yet. It’s inconsistent, it's longer than it needs to be, it doesn't sound enough like us (which we’re still working out), it doesn't convert as well as we’d like, and errors make it through to publication. That's the job. You'll own the voice, the style guide and the editorial review layer that makes top notch words systematic rather than accidental. You'll lead our copywriting team, develop them, and help them realise their potential. You'll do this by showing as well as telling: you'll show us what amazing looks like. And you'll set Finom's editorial AI strategy, deciding where generation, drafting and checking genuinely help, and where they don't belong at all. You will own the English (not localisation, but you'll work closely with the people who do, because English is the source language), which means your standard becomes the ceiling for every market we operate in. Tighten the English and every language gets better. This is a role for an exceptional editor. Not only a writer, though you'll need to be a strong one. The core of this job is taking someone else's draft and making it materially better, quickly, because you've established a strong standard that brings results. If you find that more satisfying than seeing your own byline, you'll enjoy this job a lot. What You'll Be Doing •  Owning the words across the Finom experience: the standard, the voice and the final read •  Building and owning the style guide, and driving its adoption well beyond the Editorial team •  Establishing the editorial review layer: who reads what before it ships, against what criteria, and how nothing goes out with errors in it •  Leading and developing the copywriting team, giving direct and useful feedback, and hiring as the function grows •  Owning Finom's editorial AI strategy: where generation, drafting and checking are used, where they aren't, and what quality gates they have to pass •  Writing personally on key projects, campaigns and launches •  Coordinating across lifecycle, web, paid and social so that Finom's language is consistent everywhere a customer meets us •  Partnering with Product to make sure brand voice holds inside the product, not just in marketing •  Working closely with localisation partners so English source quality lifts every market •  Making copy work commercially: tightening, sharpening and testing so that writing converts rather than merely describes •  Building the intake and prioritisation model that lets a small team serve rising demand without the standard slipping What Success Looks Like In your first 30 days: you've read everything, you know where the worst copy is and why, you've properly assessed the team you've inherited, and you understand where demand actually comes from. You have a diagnosis, not yet a plan. By 45 days: a first version of the style guide is in use, an editorial review layer is running, and errors have stopped reaching publication. By 60 days: intake and prioritisation are agreed with the teams generating demand, the voice is documented and being adopted outside Editorial, and your first AI-assisted workflows are live with quality gates that hold. By 6 months: Finom sounds like one company everywhere. Copy is tighter and converting better, with evidence. The writers on your team are visibly better than when you arrived. Editorial runs as a function rather than a queue. Who You Are •  An outstanding and fast editor. You improve other people's writing without taking it over. You do it under deadline, without agonising •  A precise writer. Your English is exceptional. You cut rather than decorate •  Direct about quality. You can tell someone their draft isn't working, explain exactly why, and leave them wanting to fix it •  A brilliant documentor. You've created style guides, review processes or editorial standards where none existed •  Commercially literate. You treat copy as a lever, not only as craft, and you can point to writing that moved a number •  Genuinely cross-functional. You get good work shipped through other teams' processes, not just your own •  Comfortable with ambiguity. There's no style guide, no review process and no documented voice yet. You find that energising Must-Haves •  Evidence that you can lead the editorial standard, whether through direct people management, mentoring other writers, or operating as a senior individual contributor with strong stakeholder influence. Experience managing and developing writers is highly valued. •  Experience producing high-volume marketing and conversion copy in a fast-moving tech or digital environment. In-house experience is preferred, but strong agency backgrounds are equally relevant where you’ve worked at pace across multiple channels. •  English at native level. Exceptional command of written English, since your work sets the quality ceiling for every localised market •  Demonstrable AI fluency in an editorial context. Not tool familiarity: evidence that you've set policy in practice, defined where AI isn't used, built the checking layer, and held quality as volume rose •  A track record of building editorial standards, style guides or review processes from scratch •  Experience developing writers who measurably improved •  Ability to work across marketing and product surfaces •  Based in an eligible EU location, the UK or Ireland We're deliberately open on background. Editorial and journalism, brand and advertising copywriting, and B2B content marketing are all valid routes into this role. We care about the work and the judgement, not the job titles. Nice-to-Haves •  Fintech, financial services or another regulated industry where precision genuinely matters •  Experience owning voice across both marketing and in-product copy •  Experience running a source-language function feeding multi-market localisation •  Experience building or managing a freelance writer network Why Finom Finom is building the financial platform European entrepreneurs actually want to use, in a category where almost every brand looks and sounds the same. Our customers rate us 4.8 on Trustpilot, higher than any other B2B banking player in Europe, so the product is genuinely good; the job in Brand is to make sure the way Finom reads and sounds matches it. That means an editorial function you get to build rather than inherit, an editorial AI strategy designed from a clean sheet at a moment when very few companies have worked this out properly, and real appetite at senior level for quality as a way to win rather than a cost line. If you've spent time somewhere the writing was tolerated rather than cared about, this will feel different. Compensation & Benefits This role sits at Job Level 6, which includes equity options under Finom's Incentive Plan, eligibility for the High Performance Bonus Plan, and a salary positioned within Finom's range for your location, level and job family, benchmarked to the 50th–75th market percentile. Our Process A 30-minute screen, a conversation with the VP of Brand, a three-hour editorial task with a follow-up discussion, a short cross-functional panel, a conversation with the writers you'd be leading, and a final interview with our CMO. We aim to move quickly and we'll tell you where you stand at every stage. What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: United Kingdom; Spain; Netherlands; Poland Workplace: remote Art Director, Brand & Marketing Design About the Role Finom is building a brand that European entrepreneurs recognise and trust, and right now the visual side of that brand needs an owner. We are looking for an Art Director to lead our Marketing Design team and take ownership of Finom's visual identity end to end. Not marketing design in isolation: the brand system itself, the guidelines behind it, and how consistently it shows up everywhere Finom appears. You are joining at a genuine inflection point. Finom is growing fast, helping entrepreneurs around Europe take their businesses to the next level. We have over 200k users with ambition for millions more. Meanwhile, our customers rate us 4.8 on Trustpilot, the only business banking app above 4.7. Our ambition brings with it a unique set of challenges. Your job will be twofold: raise the creative bar, and build the system that lets a team deliver at volume without the quality dropping. Your first months will be as much about diagnosis as creation: auditing the existing identity, understanding where the current team and workflows are working or falling short, and putting the foundations in place for what comes next. From there, you'll help determine and lead the next evolution of Finom's visual identity. This is a hands-on leadership role. You will direct and mentor, and you will also design, setting the visual benchmark yourself, not just reviewing other people's work against it. You will work in close partnership with our VP of Product Design, so that the brand reads as one across marketing, product, and the entire brand experience. Finom is building an AI-native production pipeline, and we want a creative leader who is already fluent in it. Not someone curious about AI, someone who has shipped with it and can design the workflows, quality gates and brand guardrails that make AI output genuinely good rather than merely fast. What You Will Be Doing •  Own Finom's visual identity (the brand system, guidelines, design systems and documentation) and drive consistent adoption across every team and touchpoint, including teams that produce assets outside your own •  Set and hold the creative bar. Shape visual direction across channels and make consistency and quality non-negotiable •  Lead and develop the existing Marketing Design team, assess its capabilities and future shape, and determine where additional permanent, freelance or AI-enabled capacity is needed •  Define the design requirements for intake, briefing, prioritisation, SLAs and review, working with Brand Operations and Marketing Operations to turn them into scalable processes •  Design and direct high-quality visual and motion assets that bring the brand to life, personally setting the benchmark for the wider team •  Build the AI-native production pipeline: define where AI accelerates the work, where it doesn't, and what quality and brand-integrity gates it has to pass. Create the templates, systems and tools that let both designers and AI workflows execute independently •  Provide creative direction at the front of significant projects (the creative kickoff, the concept, the narrative) rather than reviewing work once it's already been produced •  Direct the creation of mood boards, design references, scamps, storyboards and animatics to communicate creative intent •  Partner with Marketing, Product, copywriters and strategists to develop campaigns across digital-first channels (social, web, video), with the ability to stretch into ATL where the moment calls for it •  Own projects from concept through delivery, and run multiple parallel workstreams without letting standards slip •  Build and present creative work to senior stakeholders, articulating rationale clearly enough to guide decisions •  Manage a flexible pool of freelance and external creative partners to absorb peaks in demand •  Act as guardian of the visual identity while continuously pushing where the brand can be braver Who You Are •  A genuinely strong designer. Other designers respect your work and want to learn from you; that's the bar, and it isn't optional for this role •  Strong design taste, and able to articulate how it impacts the business. You can tell excellent from generic and explain precisely why, in terms a non-designer can act on •  A builder of process as much as a maker of work. You believe high volume and high quality are compatible, and you have the systems thinking to prove it •  Customer-obsessed in how you approach brand: your creative decisions trace back to what the audience actually responds to, not to internal taste •  Comfortable with ambiguity. Finom is moving fast, the setup is being built as you go, and you find that energising rather than exhausting •  A generous leader who elevates people, gives direct feedback, and turns good work into exceptional work •  Confident with senior stakeholders without becoming a bottleneck for them Must-Haves •  8+ years as a graphic or brand designer, ideally in fast-moving, brand-led environments •  4+ years as a design leader with direct responsibility for a team of three or more •  Experience building customer-facing technology brands or consumer digital products at scale. Your portfolio should show how strong visual craft works alongside usability, clarity and commercial objectives •  A track record of building and evolving brand systems across campaigns, products or businesses, including ownership of key visual directions •  A standout portfolio showing strategic thinking, creativity and polished execution across visual design, motion, editorial, digital and social formats •  Clear examples of work where you led or directed other creatives •  Demonstrated AI design fluency, with evidence of AI-native production rather than occasional AI assistance: workflows you built, quality standards you set, output you shipped •  Experience creating scalable brand systems, templates, tools and guidelines that let other teams execute independently •  Expertise across Adobe Creative Cloud and Figma, with the ability to define efficient workflows and standards for a team •  A portfolio of shipped brand assets: campaign visuals, social graphics, presentation decks, event materials, marketing collateral •  Excellent communication skills and the judgement to influence at a senior level •  Fluent English Nice-to-Haves •  Experience in fintech or financial services •  Experience with sponsorship, partnership or event-led brand work at scale •  Motion design depth, or experience directing motion specialists •  Experience partnering closely with a product design function on a shared brand system •  Experience building and managing a freelance or external creative network What You Will Get In Return   Make a genuine impact on the product   Join our upward trajectory, and grow with us. We provide the resources and opportunities for continuous personal and professional development, empowering you to make a genuine impact on our evolving product.   Work in the EU   Embark on this exciting journey with us and enjoy the flexibility of traveling and working remotely or in a hybrid model across Europe.   Become a stock options holder   Unlock your inner entrepreneur and align your aspirations with ours through our Stock Options Program. This exciting opportunity is available to every team member, from junior team members to our founders.   Receive unwavering support and care   Finom stands by you at every step, embodying our commitment to your well-being and success reflected in our modern, friendly, and eco-conscious corporate culture. We offer constant support and care to ensure your Finom experience is successful and fulfilling.   Work & Swim program   Immerse yourself in our exclusive Work & Swim Program. Spend one month in a comfortable corporate apartment in enchanting Cyprus. It's the ideal opportunity to strike the perfect work-life balance while enjoying breathtaking Mediterranean views.   Equal Opportunity Statement    At Finom, we're an equal opportunity employer and value diversity at our company. We embrace diversity and invite applications from all walks of life. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, disability status, or other applicable legally protected characteristics.

Location: San Francisco We are looking for a detail-oriented team player with a passion for workplace design to take ownership of global workplace design and project execution . Joining the Workplace team, you will report to the Head of Global Workplace & Real Estate and execute both short- and long-term projects to support Asana’s global expansion . The Workplace team supports every Asana by creating welcoming, comfortable, and inclusive environments where everyone can perform at their best . This role is based in our San Francisco office with an office-centric hybrid schedule . The standard in-office days are Monday, Tuesday, and Thursday . Most Asanas have the option to work from home on Wednesdays . Working from home on Fridays depends on the type of work you do and the teams with which you partner . If you're i nterviewing for this role, your recruiter will share more about the in-office requirements . What you’ll achieve Lead the planning and execution of all new office builds, construction, and reconfigurations across global temporary (co-working) and leased spaces . Develop, maintain, and implement workplace design and graphic standards across all office locations . Collaborate closely with local Workplace leads to ensure design alignment, seamless office expansion, and high end-user satisfaction . Oversee design-related purchasing, including global furniture vendor management, quotes, and procurement . Source local furniture and environmental branding vendors globally, maintaining a resource directory and assisting site leads as needed . Manage project budgets, billing, CAPEX and OPEX cost roll-ups, and annual financial tracking . Oversee global occupancy and space planning, act as the space planning software administrator, and deliver monthly analytics, test fits, and occupancy projections . Drive the workflow for desk moves and department relocations while providing ongoing training and support to site leads and space captains . About you Demonstrates curiosity about AI tools and emerging technologies, with a willingness to learn and leverage them to enhance productivity, collaboration, or decision-making . 6–8+ years of experience in space planning, interior design, and project management . Bachelor’s degree in interior design, architecture, or a related technical field . Proven proficiency with AutoCAD and Adobe Creative Suite; familiarity with SketchUp or OfficeSpace is a plus . Meticulous planner and problem-solver who effectively prioritizes and manages multiple simultaneous projects under tight schedules . Strong cross-functional communicator skilled in building collaborative relationships across all levels and managing global vendors across time zones . Experienced in managing CAPEX/OPEX budgets, financial tracking, and transparent project status reporting . Portfolio or website demonstrating experienc e in office design, environmental graphics, and spatial planning . At Asana, we're commit ted to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achiev e our mission . If you're interested in this role and don't meet every listed requirement, we still encourage you to apply . What we’ll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission . We b elieve that compensation should be reflective of the value you create relative to the market value of your role . To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit . For this role, the estimated ba se salary range is between $133,000 - $151,000 . The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process . Th e listed range above is a guideline, and the base salary range for this role may be modified . In addition to base salary, your compensation package may include additional components such as equity, sales incentive pa y (for most sales roles), and benefits . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . We strive to provide equitable and competitive benefits packages that support our empl oyees worldwide and include : Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations . If you're interviewing for this role, speak with your recruiter to learn more about the total compensation and benefits for this role . #LI-Hybrid About us Asana is a leading platform for human + AI collaboration. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named to Fortune's Best Workplaces for 7+ years and recognized by Fast Company, Forbes, and Gartner for excellence in workplace culture and innovation. We offer an exceptional office-centric culture while adopting the best elements of hybrid models to ensure that every one of our global team members can work together effortlessly. With 13+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world and a culture where everyone feels that they belong. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants 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 law. Join Asana’s Talent Network to stay up to date on job opportunities and life at Asana.

Location: Chicago, Illinois Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Implementation is an activity every Fin customer experiences, whether purchasing Fin for the first time, expanding Fin use to a new team, or adopting new features! As a Partner Services Manager at Fin, you’ll share ownership of this crucial process alongside our Service Delivery Partners. Your primary responsibility is ensuring customers implement Fin’s suite of AI tools to solve their most complex problems and ultimately drive incredible value for their business. Partner Services Managers have an outsized impact on the company. If you want to help make business personal for our customers and you want to work with an ever growing and changing team, you’re in the right place! What will I be doing? You will act as the Fin owner of partner-delivered services projects and the liaison who ensures that Services Delivery Partners have a good experience working with Fin You will onboard and certify new Service Delivery Partners on Fin's product, methodology, and delivery standards, and continually uplevel existing partners as our product and best practices evolve You will enable partners to facilitate discovery of complex customer objectives and requirements and help translate them to items included in our deployment plans You will enable partners to execute tailored AI-first customer service strategies based on customer goals and drive product adoption of our AI features You will work closely with our Partners to help drive success by exceeding portfolio KPIs (Partner CSAT, Fin Outcomes, Escalation Rate, and Project Management Compliance) You will own escalation and risk communication for at-risk projects — driving intervention and solutions while keeping Deployment Services and Sales leadership informed of status and path to resolution You will drive the overall efficiency of our Services Delivery Partner operations You will partner with the rest of the Deployment Services team, the Sales team, and the Customer Success team to deliver the best possible experience for new clients You’ll collaborate with our Customer Support and R&D teams to help coordinate resolution of issues, potential defects, and provide detailed product feedback around feature enhancements You will drive a Quarterly Business Review with each service partner to ensure we are tracking towards stated goals What skills do I need? 6+ years of work experience, with 4+ year(s) in an Implementation Manager role Technical Fluency: comfortable with core SaaS and AI concepts (APIs, integrations, LLM basics, automation logic) — enough to speak credibly with technical partner teams Positivity and Engagement: A genuine interest in the work you do and a positive attitude! Curiosity: a passion for learning, for technology, and for solving problems Training: the ability to make complex topics simple to understand Rapport Building: comfortable working with customers and consultants via video calls Adaptability: change is constant and the Deployment Services Team values experimentation to find the best processes and solutions Demonstrate the Fin Values: Customer Obsessed, Success First, Incredibly High Standards, Open Mindedness, Resilience, Impatience, Positive and Optimistic Bonus skills & attributes Experience training on SaaS products or specifically, experience with Fin Experience with AI Agents and / or Large Language Models Past experience managing projects delivered by Consulting Firms Past experience in Customer Success, Support, Sales Engineering, Consulting Great examples of self started projects with measurable success Experience with RESTful API Integrations *Proof of eligibility to work in the United States is required. The base salary range for candidates within the Greater Chicago Area is $139,300-$166,400. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Location: San Francisco, California Fin , now part of Salesforce, is on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey, from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk, giving modern support teams one single system. Together with Salesforce, the #1 AI CRM, where humans with agents drive customer success, we're building the future of customer experience. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword, it's a way of life. The world of work as we know it is changing, and we're looking for Trailblazers who are passionate about bettering business and the world through AI. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place. Agentforce is the future of AI, and you are the future of Salesforce. What's the opportunity? Implementation is an activity every Fin customer experiences, whether purchasing Fin for the first time, expanding Fin use to a new team, or adopting new features! As a Partner Services Manager at Fin, you’ll share ownership of this crucial process alongside our Service Delivery Partners. Your primary responsibility is ensuring customers implement Fin’s suite of AI tools to solve their most complex problems and ultimately drive incredible value for their business. Partner Services Managers have an outsized impact on the company. If you want to help make business personal for our customers and you want to work with an ever growing and changing team, you’re in the right place! What will I be doing? You will act as the Fin owner of partner-delivered services projects and the liaison who ensures that Services Delivery Partners have a good experience working with Fin You will onboard and certify new Service Delivery Partners on Fin's product, methodology, and delivery standards, and continually uplevel existing partners as our product and best practices evolve You will enable partners to facilitate discovery of complex customer objectives and requirements and help translate them to items included in our deployment plans You will enable partners to execute tailored AI-first customer service strategies based on customer goals and drive product adoption of our AI features You will work closely with our Partners to help drive success by exceeding portfolio KPIs (Partner CSAT, Fin Outcomes, Escalation Rate, and Project Management Compliance) You will own escalation and risk communication for at-risk projects — driving intervention and solutions while keeping Deployment Services and Sales leadership informed of status and path to resolution You will drive the overall efficiency of our Services Delivery Partner operations You will partner with the rest of the Deployment Services team, the Sales team, and the Customer Success team to deliver the best possible experience for new clients You’ll collaborate with our Customer Support and R&D teams to help coordinate resolution of issues, potential defects, and provide detailed product feedback around feature enhancements You will drive a Quarterly Business Review with each service partner to ensure we are tracking towards stated goals What skills do I need? 6+ years of work experience, with 4+ year(s) in an Implementation Manager role Technical Fluency: comfortable with core SaaS and AI concepts (APIs, integrations, LLM basics, automation logic) — enough to speak credibly with technical partner teams Positivity and Engagement: A genuine interest in the work you do and a positive attitude! Curiosity: a passion for learning, for technology, and for solving problems Training: the ability to make complex topics simple to understand Rapport Building: comfortable working with customers and consultants via video calls Adaptability: change is constant and the Deployment Services Team values experimentation to find the best processes and solutions Demonstrate the Fin Values: Customer Obsessed, Success First, Incredibly High Standards, Open Mindedness, Resilience, Impatience, Positive and Optimistic Bonus skills & attributes Experience training on SaaS products or specifically, experience with Fin Experience with AI Agents and / or Large Language Models Past experience managing projects delivered by Consulting Firms Past experience in Customer Success, Support, Sales Engineering, Consulting Great examples of self started projects with measurable success Experience with RESTful API Integrations *Proof of eligibility to work in the United States is required. The base salary range for candidates within the San Francisco Bay Area is $154,800-$184,900. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). #LI-Hybrid Unleash Your Potential When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world. In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at fin.ai/careers . Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values . Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.