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Location: San Francisco, CA, USA About the role Jade is Chime’s AI financial partner, helping members better understand and manage their money. We’re looking for a software engineer who enjoys building reliable systems, solving practical problems, and learning new technologies. You’ll work on the services, APIs, and integrations behind Jade, helping our members interact with AI as part of their Chime experience. Our backend primarily uses Python, and we welcome engineers with strong experience in other languages who are interested in learning it. You’ll build capabilities for our members and help improve the quality, reliability, and performance of our new AI-powered product. We value strong engineering fundamentals, thoughtful problem-solving, and curiosity. Prior experience or specialization in AI or machine learning is preferred, but not required. You’ll have opportunities to develop that knowledge on the team. In this role, you can expect to Design, build, and test backend services and APIs that power Jade’s capabilities. Build integrations that connect AI models with member data, tools, and Chime services. Own scoped features from technical design through implementation and rollout, with feedback and support from your teammates. Contribute to automated evaluations, testing, and experiments that help us understand model behavior, measure quality, and catch regressions. Improve system reliability, performance, and observability, and help investigate production issues. Partner with engineering, product, design, and data teammates to understand member needs and iterate on useful experiences. To thrive in this role, you have 2+ years developing software in a production environment at scale Proficiency in a backend programming language, such as Python, Go or Ruby, and the ability to write clean, maintainable, and well-tested code. Experience building backend services or applications, including working with APIs and databases. Strong systems thinking, you can reason about how components fit together, how data moves through a system, and where failures might occur. An understanding of distributed systems fundamentals, including service communication, reliability, and trade-offs around latency, consistency, and scale. Strong problem-solving and debugging skills, with the ability to break work into manageable steps and explain technical choices. A collaborative approach, clear communication, and a willingness to ask questions, incorporate feedback, and learn unfamiliar technologies. Preferred Qualifications The following are preferred, but not required: Experience with Python and its backend development ecosystem. Familiarity with large language models (LLMs), including using model APIs, prompts, or tools to build applications. Exposure to AI evaluations (“evals”), such as using test cases, datasets, or experiments to measure response quality and identify regressions. Familiarity with AI tools and frameworks such as LangSmith, LangChain, LangGraph, Amazon Bedrock, or comparable platforms. Experience with any particular tool is not expected. Experience deploying and supporting a production application, including monitoring, troubleshooting, or working with cloud infrastructure. Your exposure to AI can come from professional work, personal projects, or hands-on learning. We welcome strong engineers who are interested in growing into this space. #LI-Hybrid #LI-SL1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $133,000 — $184,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: Dammam, Saudi Arabia; Al Jubail, Saudi Arabia We are seeking a Metallurgy Engineer to join our Mechanical Services Shops. Mechanical Services Shops is responsible for providing rotating and static equipment repair and fabrication of components. Your primary role is to provide materials and metallurgical engineering support for component fabrication, repair, qualification, and failure prevention. You will establish material requirements, evaluate microstructure and properties, select processing routes, resolve degradation mechanisms, and ensure materials are fit for oil and gas service. Key Responsibilities As the successful candidate you will be required to perform the following: · Material Selection & Specification: Select metals, alloys, heat treatments, coatings, and acceptance requirements based on strength, toughness, temperature, corrosion, wear, and manufacturability. · Material Characterization: Plan and interpret metallography, microstructure, hardness, tensile, impact, fracture, corrosion, and coating examinations to confirm material condition. · Fabrication & Repair Support: Provide metallurgical control for casting, forging, welding, cladding, additive manufacturing, machining, heat treatment, and repair qualification. · Failure & Damage Analysis: Investigate cracking, corrosion, erosion, embrittlement, creep, fatigue, wear, overheating, and fabrication defects; identify root cause and recommend corrective action. · Technical Governance: Develop material specifications and test plans, review certificates and deviations, qualify procedures, issue technical reports, and mentor personnel. Requirements You will hold a Bachelor's degree in Metallurgical Engineering, Materials Engineering, or Materials Science from a recognized and approved program; a Master's degree or PhD is preferred. You will have at least 15 years of metallurgical or materials-engineering experience, including a minimum of 8 years supporting industrial manufacturing, repair, or failure analysis. Strong expertise in ferrous and nonferrous metallurgy, phase transformations, heat treatment, welding metallurgy, corrosion, fracture, fatigue, and wear is required. Demonstrated experience with metallography, microstructure evaluation, material characterization, mechanical testing, and failure-analysis reporting is necessary. Ability to translate service conditions and damage mechanisms into material, process, inspection, and acceptance requirements is required. ASM professional materials credentials, AMPP/NACE corrosion training, or equivalent recognized certification is preferred.

Location: Canada (BC & ON only) Workplace: Remote Webflow is the agentic web marketing platform for modern marketing teams, helping organizations build, manage, and optimize high-performing web experiences that drive predictable growth and strengthen brand trust. Building at Webflow will need grit, because we move fast, without ever sacrificing craft or quality. We’re looking for a Senior Salesforce Developer to help Webflow scale our go-to-market systems with quality, scalability, and strong governance. You’ll design and build the Salesforce, CPQ, and integration solutions that our Sales, Marketing, Customer Success, and Finance teams depend on every day. You’ll work closely with stakeholders and the broader Enterprise Technology team to turn business needs into clean, durable solutions. This role combines hands-on engineering excellence with the judgment to know what to build, what to simplify, and what not to build at all. You’ll help make our platform easier to use, easier to trust, and easier to extend. You’ll join a team of 5 architects, developers, and admins who own Webflow’s GTM systems end to end. We don’t have dedicated project managers, business analysts, or QA. Each of us runs our own projects from the first stakeholder conversation through requirements, design, build, testing, and rollout. We work as a community of practice. We share patterns, review each other’s work, and grow the craft together.   ABOUT THE ROLE: - Location: Remote-first (Canada) - Core working hours overlap with US Eastern / Pacific time - Full-time - Permanent - The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. The specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills. - Canada (figures cited below are in CAD and pertain to workers in ON & BC, Canada) - $116,600-$163,300   This role is also eligible to participate in Webflow's company-wide bonus program. Target amounts are a percentage of base salary and vary by career level. Payouts are based on company performance against established financial and operational goals.   Please visit our Careers page https://webflow.com/careers#pay-zones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.   - Application Information: - Application deadline: applications accepted on an ongoing basis until position is closed and filled - This posting is for an existing vacancy - Reporting to Anna Duncanson   As a Senior Salesforce Developer, you will: - Own the whole problem, not just the ticket. You’ll shape solutions from the first stakeholder conversation through launch, and bring your designs to a team that reviews, challenges, and builds on each other’s work. - Partner with RevOps, MarketingOps, LegalOps, Finance, and Pricing & Packaging leaders to turn business needs into clear designs, with options and tradeoffs that help them decide well. - Help own and evolve our Quote-to-Cash platform, from quoting and approvals through contracts and renewals, and help shape where Revenue Cloud Advanced fits. - Make the platform simpler. Reuse before you build, consolidate overlapping automation, and retire tools and packages we no longer need. - Design resilient integrations across the GTM tech stack, and chase data issues to their root cause even when they span several systems. - Build shared AI tooling that speeds up the whole team, from test generation to code review to metadata analysis. - Ship with care. Deploy your own changes through Gearset, build in monitoring, and fix production issues before users notice. - Raise the bar. Set the Apex, LWC, and security patterns others build on, give thoughtful reviews, and mentor developers and admins. - Help shape how we work, not just what we build. Take your turn as Scrum Master, run our ceremonies, and bring ideas that make the whole team faster and better.   ABOUT YOU: Requirements: - BS / BA college degree or relevant experience. - 5+ years of hands-on Salesforce development in a complex Sales Cloud org. - Salesforce Platform Developer I and Platform Developer II certifications. - Strong Apex, SOQL, Flow, and LWC skills, and a clear sense of when to use each. - Deep understanding of the platform’s transaction model, including order of execution, synchronous and asynchronous processing, bulkification, and governor limits, plus experience tuning performance in large-data-volume orgs. - Strong grasp of Salesforce security in code, including CRUD, FLS, sharing, injection prevention, and named credentials. - Hands-on Salesforce CPQ experience. - Experience with source-driven delivery: SFDX, Git, pull request workflows, static analysis, automated testing, and rollback planning in a CI/CD tool such as Gearset or Copado. - Experience with event-driven patterns such as Platform Events and Change Data Capture. - Experience building and supporting integrations designed for failure, including retries, idempotency, error handling, and clear system-of-record boundaries. Preferred: - Salesforce CPQ, Revenue Cloud, and/or Platform App Builder certifications. - Experience with identity provisioning or data warehouse integrations. - Experience in a B2B SaaS environment   You’ll thrive as a Senior Salesforce Developer at Webflow if you: - Are comfortable wearing many hats. You’re as confident running a requirements session, managing a timeline, writing test plans, and handling a production issue as you are writing code. - Hold a high bar for quality. You write clean, well-tested, well-documented code, and you treat production with care. - Design for scale. You build for where Webflow is going, not just where it is today. - Value strong governance. Clear standards, peer review, and documented decisions matter to you, and you help others follow them. - Challenge assumptions, including your own. You ask why, test ideas with data, and change course when the evidence says you should. - Always look for a better way. You reflect on your work and keep improving your skills, our patterns, and our processes. - Find the root cause. You use logs, data, and testing to prove what’s wrong before you change anything. - Communicate clearly. You can explain a technical tradeoff to a sales leader and to another engineer. - Protect focus. You redirect out-of-scope asks into intake, prioritize by value and risk, and leave room for the unplanned. - Help create a team where everyone feels safe to ask questions, raise concerns, and admit mistakes. - Stay curious and open to growth — demonstrating a proactive embrace of AI, and actively building and applying fluency in emerging technologies to elevate how we work, drive faster outcomes, and expand collective impact. OUR CORE BEHAVIORS - Build lasting customer trust. We build trust by taking action that puts customer trust first. - Win together. We play to win, and we win as one team. Success at Webflow isn't a solo act. - Reinvent ourselves. We don't just improve what exists, we imagine what's possible. - Own it all the way. We move fast because the moment demands it, and we hold ourselves accountable to deliver outcomes — for each other, and for customers.   BENEFITS - Ownership in what you help build. Every permanent Webflower receives equity (RSUs) in our growing, privately held company. - Health coverage that actually covers you. Comprehensive medical, dental, and vision plans for full-time employees and their dependents, with Webflow covering most premiums. - Support for every stage of family life. 12 weeks of paid parental leave for all parents and 6+ weeks of additional paid leave for birthing parents. Plus inclusive care for family planning, menopause, and midlife transitions. - Time off that’s actually off. Flexible vacation, paid holidays, and a sabbatical program to help you recharge and come back inspired. - Wellness for the whole you. Access to mental health resources, therapy and coaching. - Invest in your future. A 401(k) with 100% employer match (up to $6,000/year) in the U.S., and support for retirement savings globally. - Stipends to support our distributed team. Localized support for cell, Wi-Fi, and WFH expenses to help you settle into your best remote life. - Bonus for building together. All full-time, permanent, non-commission employees are eligible for our annual WIN bonus program.   Temporary employees may be eligible for paid holiday and time off, statutory leaves of absence, and company-sponsored medical benefits depending on their Fixed Term Contract and their country/state of employment.   BE YOU, WITH US At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed https://webflow.com/diversity-equity-inclusion to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.   STAY CONNECTED Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog https://webflow.com/blog, LinkedIn https://www.linkedin.com/company/webflow-inc-/, X (Twitter) https://twitter.com/webflow, and/or Glassdoor https://www.glassdoor.com/Reviews/Webflow-Reviews-E890506.htm.   PLEASE NOTE: We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for accommodation requests will be administered. To join Webflow, you'll need a valid right to work authorization depending on the country of employment. If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes. Webflow uses AI tools to assist in screening and evaluating applications. AI does not make final hiring decisions. For details on how we process your personal information, see Webflow’s Applicant Privacy Notice https://webflow.com/legal/applicant-privacy-notice.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE Technical Consulting is Ramp's post-sales technical delivery team. When a finance org needs Ramp to work the way their business actually runs, this is the team that takes customers through that transformation, from complex accounting issues to integration errors to everything in between. The Manager, Technical Consulting, Enterpriseleads the team responsible for Ramp's largest accounts. You'll own post-sales technical implementation for this segment end to end — from technical discovery and solution design through go-live, adoption, and expansion — working shoulder-to-shoulder with our Customer Activation team, with whom you'll co-own activation milestones and time-to-value. Strategic customers arrive with multi-entity structures, legacy ERPs, in-flight finance transformations, procurement and treasury requirements, and executive sponsors who expect a named technical leader in the room. Your team is the last line of technical escalation for these accounts — there is no tier above you. This role suits an experienced leader who can hold two things at once: the operating rigor to run a delivery function at scale, and the technical credibility to sit across from a Controller or VP of Finance and design the solution live. WHAT YOU'LL DO - Lead and grow the Enterprise Technical Consulting team — coach senior and principal-level consultants, own hiring, onboarding, performance, and career architecture, and build a bench deep enough to scale with the segment - Own post-sales technical implementation for Ramp's largest accounts — accountable for solution quality, delivery timelines, and technical outcomes across the portfolio - Co-own activation milestones with Customer Activation — build a joint operating model where TC drives technical design and Activation drives adoption and enablement, with shared accountability for time-to-value and a single, coherent customer experience - Serve as the terminal escalation point for complex technical and delivery challenges — ERP integration failures, custom API work, at-risk go-lives, and commitments made pre-sales that need to be re-scoped - Define the Strategic delivery model — scoping standards, solution design review, rules of engagement with CSM/Activation, staffing and capacity models, and quality bars that hold up under enterprise scrutiny - Run the function with operational rigor — forecast capacity, balance workload across accounts, instrument the team with KPIs (time-to-value, go-live on-time rate, escalation volume, adoption and expansion attach), and use the data in coaching and planning - Partner cross-functionally at the leadership level — Customer Activation, Strategic CSM and AM, Sales, Product, Engineering, and GTM Ops — to align on roadmap, feedback loops, and segment strategy - Turn field insight into product influence — synthesize what Strategic customers actually need, champion it with Product and Engineering, and close the loop back to the field - Set precedent where none exists — make sound calls in ambiguous, high-stakes situations, document the reasoning, and teach the team to do the same WHAT YOU NEED - 5+ years in technical consulting, solutions architecture, implementation, or professional services — with substantial time on enterprise or strategic accounts - 2-3+ years managing individual contributors and owning team-level outcomes; experience managing senior or principal-level ICs strongly preferred - Proven track record owning post-sales implementation for large, complex customers — multi-entity, multi-system, executive-sponsored engagements - Deep fluency in ERP and financial systems (NetSuite, Sage Intacct, Oracle, Workday Financials, Microsoft Dynamics), APIs, SSO/HRIS integrations, and core accounting workflows (chart of accounts, subsidiaries, approval hierarchies, month-end close) - Ability to assess and guide technical solution design at enterprise complexity — and to tell the difference between a configuration problem, a product gap, and a customer process problem - Experience building the operating model between two functions — e.g. delivery and onboarding, or services and customer success — and making shared accountability actually work - Executive-grade communication — able to hold the room with a CFO or Controller, advocate for your team internally, and translate technical trade-offs into business consequences - Demonstrated judgment in ambiguity and a bias toward ownership in a fast-changing, high-growth environment NICE TO HAVE - Experience at an ERP or financial systems vendor (Workday, NetSuite/Oracle, Sage Intacct, Coupa) or in a Big 4 / systems integrator implementation practice - Background in fintech, spend management, or AP automation - Experience standing up or scaling a technical consulting / professional services function from an early stage - Experience managing managers or team leads, or building the career ladder for a technical IC track BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: Remote UK; Remote Germany Workplace: Remote InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com http://www.influxdata.com. Our sales team is growing at InfluxData and we’re now looking for a Sales Development Representative to join our EMEA Sales Team! You are a hunter at heart. You relish on finding creative ways to secure interest from new prospects. You’re all about working hard, supporting one another, ideating nonstop, and you have a lot of fun while doing it. You have bucket loads of grit, hustle, persistence, and a strong competitive spirit. If this is you, then read on! What you’ll be doing - Sourcing and researching new accounts to prospect where InfluxDB could bring value to their DevOps, IoT, AI or Data Science use cases. - Creating a high volume & high quality output of daily outbound outreach into senior level contacts within your assigned target accounts to generate new business meetings for your AEs - Engaging with contacts through email, phone, social and video - Passionately articulating how InfluxDB can make a major difference to new customers - Nurturing prospects from early stage interest through becoming a qualified lead What we’re looking for - 1+ year of sales, recruiting, or equivalent consultative experience - Fluency in French and English - Track record of top 10% performance and/or attainment in a professional position or dedicated discipline - A passion for technology and a technical aptitude to master sales tools and understand complicated technical products - Superior written and verbal communication skills, able to talk to all levels at an organization - Strong organizational and interpersonal skills - A highly resourceful approach to problem-solving - Experience using AI to create more efficient processes or make informed decisions Bonus points if you - Have experience selling open source/SaaS - Have experience working in a remote or autonomous environment - Demonstrable history of meeting or exceeding business quota, KPIs, or metrics - Experience with Salesforce, Outreach, and/or AI platforms for professional use - Business communication proficiency in the German or French language Interview Information: Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage. Our Core Values Our employees are the heart of the company and only by having a core set of beliefs and values will we be successful. We hire and live by these core values: - We value each other - We get stuff done - We believe humility drives learning - We embrace failure - We are committed to open source Visit our careers page https://www.influxdata.com/careers/ to learn more about working at InfluxData. To view our CCPA policies click HERE https://www.influxdata.com/wp-content/uploads/November-2023-InfluxData-Candidate-Privacy-Notice.pdf If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request reasonable accommodations by reaching out to the recruiting team by emailing apply@influxdata.com.  InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place. Beware of job scams and fraudulent offers! Our recruiters use @influxdata.com http://influxdata.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank accounts or social security numbers. If you have been contacted by someone claiming to be from InfluxData from a different domain about a job offer, please report it as potential job fraud to law enforcement and to jobs@influxdata.com.

Location: Remote UK; Remote Germany Workplace: Remote InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com http://www.influxdata.com. Our sales team is growing at InfluxData and we’re now looking for a Sales Development Representative to join our EMEA Sales Team! You are a hunter at heart. You relish on finding creative ways to secure interest from new prospects. You’re all about working hard, supporting one another, ideating nonstop, and you have a lot of fun while doing it. You have bucket loads of grit, hustle, persistence, and a strong competitive spirit. If this is you, then read on! What you’ll be doing - Sourcing and researching new accounts to prospect where InfluxDB could bring value to their DevOps, IoT, AI or Data Science use cases. - Creating a high volume & high quality output of daily outbound outreach into senior level contacts within your assigned target accounts to generate new business meetings for your AEs - Engaging with contacts through email, phone, social and video - Passionately articulating how InfluxDB can make a major difference to new customers - Nurturing prospects from early stage interest through becoming a qualified lead What we’re looking for - 1+ year of sales, recruiting, or equivalent consultative experience - Fluency in German and English - Track record of top 10% performance and/or attainment in a professional position or dedicated discipline - A passion for technology and a technical aptitude to master sales tools and understand complicated technical products - Superior written and verbal communication skills, able to talk to all levels at an organization - Strong organizational and interpersonal skills - A highly resourceful approach to problem-solving - Experience using AI to create more efficient processes or make informed decisions Bonus points if you - Have experience selling open source/SaaS - Have experience working in a remote or autonomous environment - Demonstrable history of meeting or exceeding business quota, KPIs, or metrics - Experience with Salesforce, Outreach, and/or AI platforms for professional use - Business communication proficiency in the German or French language Interview Information: Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage. Our Core Values Our employees are the heart of the company and only by having a core set of beliefs and values will we be successful. We hire and live by these core values: - We value each other - We get stuff done - We believe humility drives learning - We embrace failure - We are committed to open source Visit our careers page https://www.influxdata.com/careers/ to learn more about working at InfluxData. To view our CCPA policies click HERE https://www.influxdata.com/wp-content/uploads/November-2023-InfluxData-Candidate-Privacy-Notice.pdf If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request reasonable accommodations by reaching out to the recruiting team by emailing apply@influxdata.com.  InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place. Beware of job scams and fraudulent offers! Our recruiters use @influxdata.com http://influxdata.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank accounts or social security numbers. If you have been contacted by someone claiming to be from InfluxData from a different domain about a job offer, please report it as potential job fraud to law enforcement and to jobs@influxdata.com.

Location: Remote UK; Remote Germany Workplace: Remote InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit www.influxdata.com http://www.influxdata.com. Our sales team is growing at InfluxData and we’re now looking for a Sales Development Representative to join our EMEA Sales Team! You are a hunter at heart. You relish on finding creative ways to secure interest from new prospects. You’re all about working hard, supporting one another, ideating nonstop, and you have a lot of fun while doing it. You have bucket loads of grit, hustle, persistence, and a strong competitive spirit. If this is you, then read on! What you’ll be doing - Sourcing and researching new accounts to prospect where InfluxDB could bring value to their DevOps, IoT, AI or Data Science use cases. - Creating a high volume & high quality output of daily outbound outreach into senior level contacts within your assigned target accounts to generate new business meetings for your AEs - Engaging with contacts through email, phone, social and video - Passionately articulating how InfluxDB can make a major difference to new customers - Nurturing prospects from early stage interest through becoming a qualified lead What we’re looking for - 1+ year of sales, recruiting, or equivalent consultative experience - Track record of top 10% performance and/or attainment in a professional position or dedicated discipline - A passion for technology and a technical aptitude to master sales tools and understand complicated technical products - Superior written and verbal communication skills, able to talk to all levels at an organization - Strong organizational and interpersonal skills - A highly resourceful approach to problem-solving - Experience using AI to create more efficient processes or make informed decisions Bonus points if you - Have experience selling open source/SaaS - Have experience working in a remote or autonomous environment - Demonstrable history of meeting or exceeding business quota, KPIs, or metrics - Experience with Salesforce, Outreach, and/or AI platforms for professional use - Business communication proficiency in the German or French language Interview Information: Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage. Our Core Values Our employees are the heart of the company and only by having a core set of beliefs and values will we be successful. We hire and live by these core values: - We value each other - We get stuff done - We believe humility drives learning - We embrace failure - We are committed to open source Visit our careers page https://www.influxdata.com/careers/ to learn more about working at InfluxData. To view our CCPA policies click HERE https://www.influxdata.com/wp-content/uploads/November-2023-InfluxData-Candidate-Privacy-Notice.pdf If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request reasonable accommodations by reaching out to the recruiting team by emailing apply@influxdata.com.  InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place. Beware of job scams and fraudulent offers! Our recruiters use @influxdata.com http://influxdata.com email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank accounts or social security numbers. If you have been contacted by someone claiming to be from InfluxData from a different domain about a job offer, please report it as potential job fraud to law enforcement and to jobs@influxdata.com.

Location: United States How We Build Babylist is in the middle of a fundamental shift in how software gets made, and we are not tiptoeing into it. We are rebuilding our engineering culture around a simple belief: AI changes everything. How teams are structured, how decisions get made, how fast ideas become working software. Our engineers own problems end to end, working directly with product, design, and business partners with short feedback loops and real stakeholder access. We ship, learn, and iterate fast. When something is not working, we throw it out and start over — project failure and personal failure are not the same thing here. AI tools are as natural to our workflow as an IDE or version control. We are not exploring this, we are living it. Our engineers use AI to explore tradeoffs, pressure-test designs, and move from problem to solution in hours instead of days. They generate code with AI so they can stay focused on the decisions that actually require human judgment — not the routine ones. More velocity means more time for craft: better test coverage, stronger architecture, and deeper customer understanding. We hold ourselves to a higher quality bar because of AI, not in spite of it. We are building this playbook in real time, and we are looking for people who want to build it with us. If you have already changed how you work because of AI — or you are ready to — and you care more about shipping something great than following a prescribed process, we should talk. Our Tech Stack Ruby on Rails AWS Sidekiq MySQL Redis What the Role Is Babylist's Platform team is the foundation every engineering team builds on — and this role is at the center of keeping it reliable, fast, scalable, and secure. As a Staff SRE, you'll own the infrastructure and reliability practices that support 9 million+ users and the engineers who build for them. You'll bring strong software engineering skills and experience building security into production systems, turning that experience into code, automation, and secure defaults. You'll evolve our AWS infrastructure, CI systems, and developer tooling as Babylist grows across e-commerce, registry, health, media, and mobile. You'll share the team's core SRE responsibilities and bring particular depth in security engineering, leading security improvements alongside reliability, developer experience, and platform initiatives. Who You Are Strong software engineering skills — you've shipped and operated production-quality tools or services, with tests, code review, and maintainable interfaces Experience building security into production systems — you've personally designed, implemented, and operated controls for access, workload identity, secrets, or network isolation Deep hands-on Terraform expertise — you own IaC, not just contribute to it Proven AWS experience at scale — EKS, RDS, cloud networking, DNS, CDNs, load balancers — you know the gotchas Experienced operating Kubernetes in production — you've debugged the hard stuff, not just deployed the easy stuff Comfortable designing and improving CI/CD systems — CircleCI, GitHub Actions, or similar; you care about developer velocity, not just pipeline uptime Strong observability instincts — Datadog, Sentry, PagerDuty, Cronitor — you build alerting that's actionable, not noisy Experienced with on-call and incident management — you've run the post-mortems and actually changed things afterward Comfortable supporting developers across local, staging, and production — you're a resource, not a gatekeeper You naturally reach for AI in your work — at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next. How You Will Make An Impact Infrastructure ownership — manage and evolve our AWS environment using Terraform, keeping EKS clusters, databases, and core services current, performant, and secure Software and automation — ship tested tools and services with runbooks and self-service workflows that other engineers can adopt and operate Secure infrastructure defaults — build versioned, tested Terraform modules for least-privilege access, secrets, and workload isolation, with automated checks for configuration drift CI/CD reliability — keep delivery fast and dependable across Engineering, integrating dependency and container scanning, secret detection, and short-lived deployment credentials Developer support — be the person engineers turn to when environments break; unblock them fast across local, staging, and production Monitoring & alerting standards — define service-level objectives (SLOs) and actionable alerting with engineering teams, using incident trends to prioritize reliability improvements Recovery readiness — validate backups, restore procedures, and failover paths through regular recovery tests Incident response — lead or support incident response, drive post-incident reviews, and close the loop so the same thing doesn't happen twice Platform strategy — shape our long-term infrastructure roadmap and lead cross-team initiatives from design through rollout, adoption, and ongoing operation, mentoring engineers along the way Why This Role Platform is the team every engineering team depends on — your work has outsized leverage across the entire product org, not just one area The infrastructure is solid and actively evolving — you'll shape how reliability and security are built into the platform as it grows This is a staff-level role with real cross-team visibility — you'll influence how Babylist engineers build and ship, not just keep the lights on You'll work on systems that support millions of families at a high-stakes life moment — the scale is real and the product context makes the reliability work matter About Compensation We use a market-based approach to compensation. The starting salary range for this role is: $226,673 to $271,991 + target 20% annual bonus and competitive equity Your starting salary will be based on your location, experience, and qualifications, with increases over time tied to performance, role growth, and internal pay equity. Who We Are Babylist is the leading platform for expecting and new families. More than 10 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, guidance, and expert recommendations. As a modern, AI-forward tech company, Babylist has expanded from a universal registry into a full ecosystem — the Babylist Shop, Babylist Health, Babylist Money, NYC and LA showrooms, branded content, and more — generating $750M in revenue in 2025. Building the generational brand in baby, Babylist is reshaping the $235B kids and baby market and helping parents feel confident, connected, and cared for at every step. Our Ways of Working Babylist is remote-first with team members across the U.S. and Canada who move fast, think smart, and use AI as part of how they work every day — not as an experiment, as an expectation. We come together twice a year to build the relationships behind the work, and we hire people who are genuinely excited about what's possible and prove it through how they show up. Why You Will Love Working At Babylist Our Culture We work with focus and intention, then step away to recharge We believe in exceptional management, and we invest in the tools and the time to connect with colleagues We build products that positively impact millions of people's lives AI is part of how we work, not a side experiment. You'll have leading tools like Claude and ChatGPT from day one, with no waiting on access, so the busywork gets handled and your judgment goes where it counts Growth & Development Competitive pay and meaningful opportunities for career advancement We believe technology and data can solve hard problems We're committed to career progression and performance-based advancement Benefits Company-paid medical, dental, and vision insurance Retirement savings plan with company matching and flexible spending accounts Generous paid parental leave and PTO Winter Wonder Week: the whole company takes a paid week off at the end of the year, whether or not you celebrate anything, so everyone's out at once and comes back refreshed Remote work stipend to set up your office Perks for physical, mental, and emotional health, parenting, childcare, and financial planning Important Notices Recorded Interviews. Babylist uses an interview recording tool to record and transcribe interviews for evaluation purposes in accordance with applicable privacy laws. By participating in an interview, you consent to this recording and transcription. Interview Integrity. AI is part of how we work at Babylist. We expect you to use it too. Your application and interviews should still reflect you and your own thinking. We'll tell you when AI is encouraged. Misrepresentation at any stage may result in removal from consideration for this and future roles. How We Review Applications We use AI throughout our hiring process to help review, screen, and assess applications. These tools support our team's review; they do not replace it, and every hiring decision is made by a person. Connections at Babylist. If you have a family member or close personal relationship with a current Babylist employee, please let your recruiter know. This helps us keep our process fair and transparent for everyone. Protect Yourself from Scams. All official outreach comes from the Babylist Talent Team via @babylist.com email addresses only. We will never ask for payment or personal financial information. If you receive outreach via WhatsApp, Telegram, or a non-Babylist email, it's not us. Verify open roles at babylist.com/careers.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As a Finance Systems Analyst focused on integrations and automation, you’ll support the Finance Systems team in building, maintaining, and testing Application Programming Interface (API) integrations across core financial applications. You’ll work closely with senior Finance Systems team members to keep financial platforms communicating reliably, ensure automations run as expected, and document integration testing thoroughly in this hands-on, technically oriented role at the intersection of finance operations and systems engineering. By improving the reliability of financial data flows, you’ll contribute to 1Password’s mission of making it safer to use technology every day. How we’re using AI today On the Finance team, we’re using AI to drive productivity, scale insight, and deliver better decision-making across 1Password. AI helps us move faster and sharpen our thinking, from summarizing context and pressure-testing assumptions to turning complex inputs into clear executive-level narratives. We bring AI into our work thoughtfully, improving repeatable workflows while staying accountable for the accuracy, confidentiality, and controls behind every output, creating space to focus on judgement, strategic partnership, and meaningful business outcomes. This is a remote opportunity within Canada and the US. What we're looking for: • Build a foundation in technical work involving Application Programming Interfaces (APIs), integrations, automation, or related systems. • Work with Representational State Transfer (REST) APIs and JavaScript Object Notation (JSON) data. • Write or adapt scripts in Python, JavaScript, or another programming language, and apply sound technical logic across different tools and platforms. • Create and execute test cases for integrations and automated workflows, including edge cases, error handling, and retry logic. • Learn unfamiliar systems and technologies independently, using research and available tools to solve problems effectively. • Communicate clearly with technical and non-technical partners to understand requirements and explain solutions. • Document integrations, test results, and workflows clearly; experience with financial systems, NetSuite, Workato, Postman, or similar tools is helpful. What you can expect: • Support the design, development, maintenance, and release of integrations across financial applications such as NetSuite, Salesforce, Zip, Ramp, UKG, Workato, and Stripe. • Write and maintain scripts that automate data flows, transformations, and system-to-system synchronization. • Build and refine Workato recipes and integration workflows using APIs, JSON payloads, and webhooks. • Assist with SuiteScript customizations within NetSuite and develop small utilities that reduce manual work. • Design and run integration tests, validate data accuracy from end to end, and document results and follow-up actions. • Troubleshoot integration failures and data discrepancies across connected systems. • Collaborate with finance, accounting, procurement, data, legal, and other partner teams to understand needs, clarify requirements, and deliver reliable solutions. USA-based roles only: The annual base salary for this role is between $83,000 USD and $116,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $78,000 CAD and $109,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: London & San Francisco Workplace: onsite Application deadline: We are conducting interviews actively and aim to fill this role as soon as we find someone suitable. ABOUT THE OPPORTUNITY The OpenAI/Hugging Face incident may be the biggest warning shot we get before catastrophic loss-of-control. In its aftermath, Anthropic and OpenAI committed to giving embedded evaluators an unprecedented level of access.  Embedded evaluations are the best existing method to find out whether alignment is on track. With OpenAI predicting an automated researcher by March 2028, we don't have time to start with an MVP embedded evaluation and iteratively improve it. The first embedded evaluations will set the standard and we have to get it right.  As a fundamental researcher, your ground-breaking discoveries will make our embedded evaluations better. For example, our fundamental science team's paper “Measuring Reward-Seeking via Contrastive Belief Updates” can be adapted by embedded evaluators. We want more breakthroughs like this. We are also developing a “Science of Scheming”. The goal is ambitious and we’re looking for Research Scientists and Research Engineers who are excited to build a new hard science from the ground up. KEY RESPONSIBILITIES Collaborate with leading AI developers. We partner with multiple labs, giving you access to a breadth of models that no single AI lab could offer. Through long-term research collaborations, your work directly impacts how the most capable AI systems are built and deployed. Deeply study the RL dynamics that lead to the emergence of reward-seeking, evaluation awareness or misaligned preferences. Design and train model organisms, and scale your insights to frontier systems. Work towards “Scaling laws of scheming”. Build the empirical foundations to predict how scheming risks evolve as models scale in capability. Develop novel and ambitious evaluation techniques that have a chance of scaling to highly evaluation aware models. Deep dive into AI cognition. Discover patterns in the reasoning processes of frontier AI systems that no one else has ever observed before. Note:  We are not hiring for interpretability roles. KEY REQUIREMENTS Fast-paced empirical research: You can design and execute experiments. You always strive to speed up iteration cycles and relentlessly drive progress towards the next empirical milestone. AI power-user: You’re capable of using AI to accelerate your work, technical or otherwise. You have experience using different models, know which ones to use for which tasks, when not to use AI, and always experiment with new AI workflows. Conceptual thinking and writing : You are familiar with prior work on AI scheming, from classic literature like Is Power-Seeking AI an Existential Risk? to modern research.  You have done enough deep thinking about the problem to generate some original ideas. Given vague and underspecified concepts, you come up with clarifying insights, clever ideas for experiments, and detailed plans. To explain your work, you can produce high-quality scientific writing, figures, blog posts, microsites, and tweet threads. Intense interest in AI progress: You always stay up to date on the latest model releases, and continuously tinker with new and creative AI workflows to speed up your work. You are fascinated by AI cognition and actively spend time trying to understand how they think. Experience RL-training LLMs: You have hands-on experience in training LLMs via reinforcement learning. You have encountered and resolved countless painful issues from GPU failures to debugging learning instabilities. Strong analytical skills: You bring rigorous quantitative chops from working on fields such as scaling laws in LLMs, statistical physics, dynamical systems, applied statistics etc. You're comfortable building mathematical models of empirical phenomena and know how to extract signal from noisy data. Mission commitment: Apollo estimates that RSI will happen soon, and we are extremely concerned that AGI will catastrophically not be aligned with human values. Hence we have an “intense, but in a good way” culture . We will ask a lot from you, but in return you will personally have a large impact on loss-of-control risk. NICE TO HAVES Software engineering skills: Strong software engineering skills correlate highly with effective execution, even in an era of AI agents. Our entire stack uses Python. Project management experience: We are rapidly growing while executing high-quality research projects as fast as possible. You have previously managed strong ICs and can keep research projects on schedule despite unexpected delays or surprising experiment results. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. We believe that excellent candidates can come from a variety of backgrounds and are excited to give you opportunities to shine. We don’t require a formal background or industry experience and welcome self-taught candidates. BENEFITS This role offers a market-competitive salary, equity, and competitive benefits. Depending on your experience, you may be offered a Lead or individual contributor position. Salary: Recognised experts who can lead projects of significant scope: USD 350,000 - USD 590,000 or £230,000 - £395,000 Strong individual contributors: USD 245,000 - USD 405,000 or £160,000 - £270,000 Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable). We are able to sponsor visas to the UK and US. LOGISTICS Time Allocation : Full-time Location : This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and wfh arrangements. Remote candidates will only be considered if they are exceptional and can travel at least 1 week/month to either office. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we’re primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We’re particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight. We work on the detection of scheming (e.g., building evaluations and novel evaluation techniques), the science of scheming (e.g., model organisms and the study of scaling trends), and scheming mitigations (e.g., control). We closely work with multiple frontier AI companies, e.g. to test their models before deployment and collaborate on fundamental research. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you’re interested in more details about what it’s like working at Apollo, you can find more information here. ABOUT THE TEAM Alex Meinke leads the fundamental science team’s research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the fundamental science team as well as our team of software engineers, but you will likely sometimes interact with the governance team to translate technical knowledge into concrete recommendations. You can find our full team here. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. How to apply: Please complete the application form with your CV. The provision of a cover letter is optional but not necessary. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, 3 technical interviews, and a final interview with Marius (CEO). The technical interviews will be closely related to tasks the candidate would do on the job. There are no LeetCode-style general coding interviews. If you want to prepare for the interviews, we suggest looking at one of our papers or blog posts published in the last 12 months. Then either (a) replicate/extend the result hands-on, or (b) identify a conceptual limitation and write a shovel-ready project plan that would address it. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. We adopt a human-centred approach: all resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

We’re looking for a Senior Product Builder to own the backend and architecture that let Hub manage a whole fleet of clusters. Your first focus will be the mechanism that sends access, secret, tenant and licence changes out to every connected cluster and brings deployments, health and audit records .

Location: United States Senior Engineering Manager, Data & AI Lead the engineering team behind Foundry, Insights, Intel, and Voice: the agents, analytics, and data intelligence of the modern freight platform. About the Role Remote, United States. Some travel is required for team onsites, customer visits, and industry events. Relocation assistance is not provided. The Senior Engineering Manager, Data & AI leads the engineering group behind Foundry, Insights, Intel, and Voice. You'll own the group's technical strategy, delivery, and quality, hire and develop its engineers, and stay hands-on by prototyping, writing evals, reading traces, and reviewing architecture in depth. The team is about eight engineers today and growing. It also owns the shared foundation those products run on: a context graph that connects loads, trips, carriers, drivers, customers, documents, and conversations; event-sourced platform data streaming into the warehouse; and the evals, tracing, guardrails, and model routing every agent depends on. Alvys facilitates more than $1 billion in funds every month across invoices, carrier payments, and driver settlements. Behind that volume is one of the richest operational datasets in freight. This team turns it into agents that do real work and intelligence customers can't get anywhere else. Engineering leaders at Alvys are builders. Expect to spend about a third of your time building. You'll set the standard for how an AI-first team works: coding agents in the daily workflow, evals before scale, and production evidence over demos. The platform runs on .NET (C#, and increasingly F#), TypeScript, and Python on Azure and AKS, with Cosmos DB, Postgres, Elasticsearch, Snowflake, dbt, and Fivetran underneath. We're looking for someone who treats AI as a first-class material, both in what we build for customers and in how the engineering team works. Industry Insight Freight runs on phone calls, emails, PDFs, and tribal knowledge. The U.S. trucking industry is worth approximately $1 trillion today and is projected to grow by roughly 60% to nearly $1.5 trillion over the next decade. Yet the work that moves that freight is still largely manual. Nearly 580,000 active U.S. motor carriers operate in a highly fragmented market; 91.5% run 10 or fewer trucks, and 99.3% run 100 or fewer. Few of these businesses will ever build a data team of their own. Every check call answered, rate confirmation read, and exception caught by software is time back for a small team running on thin margins. Freight data is also structurally messy. A single load spans brokers, carriers, drivers, shippers, and documents, each with its own identifiers, and the truth lives across EDI messages, phone calls, and free text. Generic AI tooling doesn't model any of this. That's why we're building a context graph grounded in how freight actually moves. Agents can now answer the phone, read documents, query operational data, and take actions inside a TMS. In freight, those actions move trucks and money. They must be correct, auditable, and safe. About Alvys Alvys is building the operating system for modern freight. Our AI-powered, cloud-native platform brings dispatch, driver mobile, safety and compliance, billing and settlements, native EDI, reporting, integrations, and automation into one product. We were founded in 2020 by freight industry insiders who were tired of software built by people who had never moved a load. That combination of deep customer empathy and ambitious technology still defines us. We visit customers, learn how the work actually happens, prototype quickly, debate ideas openly, and turn the best ones into products people rely on. More than 3,000 trucking and brokerage companies use Alvys today, including larger fleets with increasingly sophisticated operations. We've raised $77M to date, including a $40M Series B. That gives us real momentum and room to make bold bets, while remaining early enough that a great engineering leader can materially shape the product, team, and company. We are building more than a modern interface for a traditional TMS. Foundry, our agent platform within Alvys, helps freight teams make decisions and complete work, and this team builds it. You'll work with curious, direct, low-ego people who solve hard problems, move quickly from prototype to production, and measure customer impact. Our Principles AI makes building cheap. It does not make judgment cheap. The constraint has moved from writing code to deciding what to build and proving it is right. Agents belong in the middle of the pipeline. People remain accountable at both ends. These principles turn that into how we work every day. Own the outcome You own what you ship. "AI wrote it" is not an answer. Judgment stays human. People decide what matters and whether the result is correct. Verify independently Generation and verification are separate. Tests, review, and approval run independently of the agent that did the work. Autonomy is earned per workflow. Agents advance only on measured precision against human-verified outcomes. No number, no promotion. Design for control AI-first means security-first. Customer data stays on approved infrastructure under managed identity. Cost is an engineering constraint. Every shared workflow has termination conditions and bounded fan-out. Build durable systems Knowledge is tool-agnostic. Reviewed intent lives once; vendor-specific machinery is generated from it. Multiple vendors are a design assumption. Durable workflows don't couple to one model or harness. Twice is a pattern. Automate repeated work and share it within 48 hours. The Data & AI Portfolio The Data & AI portfolio covers Foundry, our embedded automation and agent platform, including a unified agent chat that answers questions and takes actions; Insights, conversational analytics grounded in each customer's own operating data; Intel, proprietary data intelligence drawn from third-party, licensed, and proprietary data sources; and Voice, AI voice and chat agents for load status, driver check calls, and the follow-ups in between. It also includes the shared foundation: the context graph, the data platform that feeds it, and the evals, tracing, guardrails, and model routing behind every agent. Why This Role Few engineering leadership roles combine frontier AI work, a proprietary dataset, and an industry this underserved. This one does. You build at the frontier, in production. Context graphs, self-learning agents, voice agents, and agentic automation are still being figured out across the industry. Here you ship them to real customers, on live freight operations, not benchmarks. You work with data no one else has. More than 3,000 trucking and brokerage companies run on Alvys, and more than $1 billion in funds moves through the platform every month. Combined with third-party and licensed sources, that data is the raw material for intelligence no single fleet or brokerage could build alone. Your work changes how an industry operates. With 91.5% of carriers running 10 or fewer trucks, most of our customers will never hire a data team. The agents you build give a small business the leverage of a much larger one. You own a portfolio, not a feature. Four products share one platform. You set its architecture, choose its models and vendors, and decide where the team invests as it grows. You shape the team from the start. The group is about eight engineers today. You'll hire the next wave and set the standard for how an AI-first engineering team works at Alvys. You stay close to the decisions. You report to the Head of Engineering, work directly with customers and our Forward Deployed Engineering team, and have a direct line into company planning, backed by a $40M Series B. What You'll Be Responsible For Leading and Growing the Team Manage, coach, and develop a team of about eight engineers, including senior engineers and tech leads, and grow it as the portfolio expands. Hire senior and staff engineers, and keep the quality bar high as the team scales. Run the team AI-first, with coding agents in the daily workflow and clear standards for how AI-written code is reviewed, tested, and shipped. Owning Technical Strategy Set technical direction for agents, data, and the context graph, and make the build, buy, and model calls with cost, quality, and speed in view. Make tradeoffs across four products that share one platform, including what gets built, what gets cut, and where the team invests. Building Agents That Learn Own the agent development lifecycle from prototype to production to continuous improvement. Build self-learning loops so agents improve from outcomes, user corrections, and transcripts, and make that improvement measurable. Make evals a release gate. No agent ships without tests for quality, safety, latency, and cost. Data and the Context Graph Own the context graph that links loads, trips, carriers, drivers, customers, documents, and conversations, and the entity resolution that keeps it trustworthy. Partner on the data platform that feeds it, including event streams, CDC into Snowflake, data quality, and lineage, so agents and analytics share one source of truth. Capture decision traces (the inputs gathered, the rule applied, any exception, who approved it, and why) so precedent becomes searchable for agents and people, while rules stay explicit. Combine third-party, licensed, and proprietary data sources into intelligence customers can act on, with the provenance, licensing terms, and tenant boundaries of each source respected. Safety, Isolation, and Reliability Design agents that change data with scoped permissions, human approvals, and audit trails, and defend against prompt injection and tool misuse. Enforce tenant isolation and least privilege across every agent, tool, and data path. Own reliability and unit economics. Track cost per task, per call, and per tenant, and keep margins healthy as usage grows. Staying Hands-On Spend about a third of your time building: prototype, write evals, read traces, and debug production. Review your team's designs and code with real depth, and stay current on models and tools, separating what works in production from what demos well. Cross-Functional Partnership Work as a peer to product and design leadership on direction, architecture, sequencing, and delivery. Work directly with customers and our Forward Deployed Engineering team, and turn repeated patterns into platform features. The AI Fluency We Expect We measure AI fluency by how you verify, not by how much you use AI. More autonomy is not always better. You match the level of autonomy to the risk of the work, and you hold yourself and the team to the same five competencies. Delegation: You decide whether to use AI at all, which task to hand off, and how much autonomy it gets. Description: You state goals, requirements, and limits clearly, from a single prompt up to project instructions, specs, and policy. Discernment: You check output against evidence: diffs, acceptance checks, evals, and production monitoring. Diligence: You own the effects, including data access, permissions, memory isolation, budgets, and kill switches. Systems: You know how models, context, tools, harnesses, and memory work, and where each one fails. How You Work With Agents Design multi-agent systems on paper before you build them. For each step, choose a rule, a small model, a frontier model, or a person, and measure cost per outcome, not cost per token. Start from code-orchestrated workflows and add model-led autonomy only where the task needs exploration. Keep agent-to-agent handoffs few, and give each agent a contract: inputs, allowed tools, and output schema. Put limits in code, not in prompts: hooks, sandboxed worktrees, and a stop condition, retry cap, and budget on every loop. Separate the agent that writes from the agent that checks, and give the checker fresh context. Work in an explore, plan, execute, verify, and compound rhythm, where every correction becomes a rule, skill, hook, or test. Move fluently across Claude Code, Codex, and Cursor, and choose an editor-first or agent-first surface based on who should hold the controls for the next step. Where You Take the Team Bring every engineer to running goal-based loops, where specs and checks are written first, never weakened to pass, and run by the agent itself. Move the team from steering every turn to designing the system that steers the agent: its context, its harness, and its loop. Build toward agents that run continuously in hosted sandboxes, each with its own least-privilege identity, a named owner, a budget, and a tested kill switch, with risk-scaled human review on financial actions, auth, settlements, and customer data. Close the improvement loop. Capture traces, run error analysis on real failures every week, encode the fixes, and gate every change to rules, memory, or evals behind evals and a human approver. Self-improving never means self-approving. Minimum Qualifications 8+ years building software, including 3+ years managing engineers. You've grown senior engineers and tech leads and remain a hands-on builder who can prototype, debug production, and review code credibly. Production LLM systems. You've shipped LLM-powered products to real users, not demos, and can explain what broke, what you measured, and what you changed. Agentic engineering in your own work. You build with coding agents every day and can show the multi-agent workflows, contracts, hooks, and loops you put into production, and the checks that kept them honest. Depth in agent systems. You've built with tool use, function calling, MCP, orchestration, memory, and retrieval, and you understand where agents fail. Evaluation discipline. You've built eval systems that combine offline suites, online metrics, human review, and transcript analysis, and used them to gate releases. Strong data engineering judgment. You've worked with event streams, CDC, cloud warehouses, dbt, and data quality, and you know how the shape of the data limits what models can do. Distributed systems in production. You've designed and operated production services with real reliability requirements. Multi-tenant security. You've secured multi-tenant SaaS and isolated customer data, and you treat agent permissions as a security boundary. Language fluency. You write Python or TypeScript fluently and are comfortable reading C#, F#, and .NET. Experience with F# or another functional language is a plus. Startup-stage fit. You've operated at Series B/C velocity amid ambiguity, thin support, competing priorities, and a bias toward shipping and learning. Clear technical communication. You can explain a tradeoff to an engineer, a customer, and an executive. Preferred Qualifications Knowledge graphs, context graphs, entity resolution, or GraphRAG in production. Real-time voice agents, including telephony, speech-to-text, text-to-speech, turn-taking, and latency budgets. Fine-tuning, reinforcement learning from feedback, or prompt optimization against eval sets. Embedded automation or workflow platforms such as Activepieces, n8n, or Temporal. SRE experience, or a record of running systems other teams depend on. Logistics or freight experience, or another vertical where data is deeply entangled with operations. Founder or early-stage engineering leadership experience. A history of hiring, growing, and retaining excellent engineers. Built by people who've moved freight. Come build the intelligence layer with us. Learn more at alvys.com

Location: London, England, United Kingdom Workplace: hybrid We are a leading trading platform that is ambitiously expanding to the four corners of the globe. Our top-rated products have won prestigious industry awards for their cutting-edge technology and seamless client experience. We deliver only the best, so we are always in search of the best people to join our ever-growing talented team. Responsibilities MLRO Deputisation and Governance Act as alternate nominated officer, deciding on SARs and DAML requests when the MLRO is unavailable, under documented delegated authority. Attend the Audit, Risk and Compliance Committee and the Group Financial Crime Committee in the MLRO's absence. Maintain a complete, contemporaneous audit trail of all decisions taken under deputised authority, distinct from decisions taken by the MLRO. Maintain deputisation readiness: current knowledge of the MLRO's live case load, open regulator correspondence and outstanding remediation, so cover can be provided at short notice. Suspicious Activity Reporting and Sanctions Oversee escalations from transaction monitoring and name screening (PEP, sanctions, adverse media), setting investigation quality and disposition standards. Oversee sanctions screening escalations and prepare OFSI reports for MLRO sign off. Financial Crime Framework Maintain the Business Wide Risk Assessment (BWRA), proliferation financing risk assessment, AML, CTF and CPF policies and the customer risk assessment methodology, and propose changes to the MLRO for approval. Escalate material gaps or emerging typologies to the MLRO. Lead root cause analysis on control failures or thematic issues and track remediation actions to closure. Regulatory Reporting and Regulator Engagement Prepare financial crime MI for senior management and governance committees, and draft sections of the annual MLRO Report. Support responses to FCA information requests and assist with skilled person reviews (s.166 FSMA 2000) or supervisory visits as directed by the MLRO. Track the AML control framework against FCA Handbook updates, JMLSG guidance revisions and OFSI and HMT sanctions notices. Team Leadership and Succession Line manage members of the UK Financial Crime team, setting quality standards, coaching and development plans. Act as the escalation point for complex or ambiguous cases referred by Level 1 and Level 2 analysts and more junior members of the UK Financial Crime team. Build the knowledge and judgement needed to step up to SMF1 Requirements Deep working knowledge of UK AML and CTF regulation: MLR 2017, POCA 2002, TA 2000, FCA SYSC 6.3 and JMLSG Guidance. Sound judgement under pressure. Comfortable taking disposition decisions on live SARs without the MLRO present. Strong report writing and Board level communication skills. People leadership experience, or clearly demonstrated readiness to lead a team. Ability to manage regulator facing deliverables to deadline. 5+ years in AML and financial crime compliance within a regulated firm (CFD or brokerage, banking, payments or crypto), or equivalent regulatory exposure, including direct SAR investigation and disposition experience. Prior deputy or MLRO experience is preferred but not required. Experience preparing MI for Boards or Risk Committees. Familiarity with CFDs, spread betting and margin trading behaviours. Awareness of how FCA Consumer Duty intersects with financial crime risk (for example, vulnerable customer considerations in AML decisioning). Nice to Have ICA Diploma or Advanced Certificate in AML, ACAMS or equivalent. Direct exposure to FCA supervisory engagement Existing line management experience. What you will get in return: • Competitive Salary: We believe great work deserves great pay! Your skills and talents will be rewarded with a salary that makes you feel valued and motivated. • Work-Life Harmony: Join a company that genuinely cares about you - because your life outside of work matters just as much as your time on the clock. #LI-Hybrid • Generous Time Off: Need a breather? Our annual leave policy lets you recharge and enjoy life outside of work without a worry. • Employee Referral Program: Love working here? Share the love! Bring your talented friends on board and get rewarded for growing our awesome team. • Comprehensive Health & Pension Benefits: From medical insurance to pension plans, we’ve got your back. Plus, location-specific benefits and perks! • Workation Wonderland: Live your digital nomad dreams with 30 extra days to work remotely from anywhere in the world (some restrictions apply). Adventure awaits! • Volunteer Days: Make a difference! Take two additional paid days each year to support causes you care about and give back to the community. Be a key player at the forefront of the digital assets movement, propelling your career to new heights! Join a dynamic and rapidly expanding company that values and rewards talent, initiative, and creativity. Work alongside one of the most brilliant teams in the industry.

Location: United States, San Diego, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Manager, Data Science, Payments & Subscriptions San Diego, CA remote considered* (flex mode) About the Team The Direct to Consumer (D2C) Data Science organization brings together Data Science, Data Engineering, and ML Engineering to support PlayStation’s digital business across commerce, subscriptions, payments, lifecycle experiences, and player-facing services. We partner closely with product, engineering, finance, marketing, and operations teams to turn experimentation, forecasting, modeling, and trustworthy measurement into better decisions and better player experiences. About the Role We are looking for a Data Science Manager to lead a focused team improving how players pay, subscribe, and recover from payment failures. You will own the team’s scientific roadmap, develop data scientists, and partner with product, engineering, finance, marketing, and operations to turn ambiguous business questions into clear recommendations supported by trustworthy evidence. This is a technically engaged first-line management role. You will review experiment designs, metrics, models, analytical code, and recommendations; help the team reason through uncertainty and business tradeoffs; and contribute directly to selected complex problems. Success means building a team that can independently deliver rigorous work, guide decisions, and improve payment and subscription outcomes. The initial portfolio includes payment method performance, payment acceptance, routing and retry strategies, subscription recovery, and measurement of experiments and lifecycle interventions. You will help partners understand incremental value, customer friction, processing and operational costs, and risk guardrails. Over time, the scope may expand across adjacent D2C business areas as team priorities evolve. What you'll be doing: Lead, hire, onboard, and develop a team of data scientists supporting a defined commerce, payments, subscriptions, and lifecycle portfolio. Own the team’s roadmap, intake, prioritization, capacity planning, and stakeholder alignment. Make ownership and tradeoffs clear so the team can deliver on its most important commitments. Partner with business and technical leaders to define the decisions to be made, hypotheses, success metrics, measurement plans, and recommendations for action. Guide experimentation, causal inference, forecasting, and modeling work that improves payment and subscription decisions. Evaluate business value alongside customer experience, costs, and risk guardrails. Review experiment designs, analytical code, data quality, metric definitions, model assumptions, uncertainty, and recommendations. Contribute directly to selected high-priority or technically complex problems. Coach data scientists to strengthen scientific judgment, stakeholder influence, and communication. Build independent ownership through delegation, constructive review, and clear expectations. Set practical standards for reproducible analysis, documentation, reusable workflows, and communication of results. Partner with Data Engineering and ML Engineering to address data and implementation dependencies. Communicate recommendations, expected impact, confidence, limitations, and next actions so partners can make informed decisions and evaluate outcomes. What we're looking for: 6+ years of industry experience in data science, applied statistics, machine learning, or a related quantitative field, including work in experimentation, causal inference, measurement, or model development. 2+ years of people management experience, or equivalent experience in formal technical leadership with a strong track record of mentoring, coaching, and driving outcomes through other data scientists or machine learning practitioners. Strong background in experimentation, causal inference, metric design, and decision science for digital products or consumer businesses. Deep fluency with SQL and Python, with the technical depth to review analytical code, challenge assumptions, guide experiment and model design, and contribute directly to complex analyses. Proven ability to prioritize cross-functional work and communicate clear recommendations, confidence levels, tradeoffs, and next actions. Bachelor's degree or equivalent Preferred Qualifications Experience in digital commerce, payments, subscriptions, billing, lifecycle, gaming, media, or scaled consumer technology businesses. Experience with experimentation platforms, trusted metric frameworks, or reusable data science tooling that improves consistency and decision quality. Experience managing senior individual contributors or helping data scientists expand scope, influence, and technical leadership. Familiarity with payment optimization, subscription lifecycle analytics, subscription recovery, payment method selection, pricing or offer measurement, forecasting, or customer retention modeling. Experience evaluating and improving AI-assisted analytical workflows, including validating outputs and preserving reproducibility and appropriate data handling. At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes medical, dental, vision, matching 401(k), paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. $186,200 — $279,200 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice (where applicable) for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: GB - United Kingdom Scopely is looking for a Senior Quality Engineer to join the MONOPOLY GO! team. The role can be based remotely in the UK, or in Barcelona or Seville on a hybrid basis, with three days a week in the office. MONOPOLY GO! is a global phenomenon and the biggest mobile game launch in history, captivating millions of players worldwide. 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. We are a global team of game lovers developing, publishing, and innovating across the games industry, connecting millions of players around the world every day. The MONOPOLY GO! Tech Vertical develops the platforms, services, and engineering capabilities that support a reliable, responsive mobile gaming experience.We are building a Quality Engineering organization that embeds quality throughout development through automation, continuous validation, and shared engineering ownership. The Role We are looking for a Senior Quality Engineer who enjoys writing code, solving complex problems, and building tools that help teams deliver with confidence. Reporting to the Quality Director of Tech, you will help establish our QE capabilities through hands-on development of automation frameworks, test infrastructure, and quality insights across mobile, Unity, APIs, integrations, performance, and CI/CD. You will help build our Quality Engineering capabilities incrementally, prioritizing the areas of greatest risk and value with the team. We are building these capabilities while supporting an active live-service game. You will take ownership of immediate testing needs, including manual, exploratory, and release validation, while developing sustainable automation and tooling. A willingness to test directly is essential. You will use what you learn to guide automation priorities, while recognizing the continuing value of exploratory testing, and develop practical AI capabilities that improve engineering effectiveness. What You Will Do Build reusable engineering solutions. Write, review, debug, and maintain automation frameworks, tools, and test infrastructure that other engineers can adopt and extend. Improve testability from the start. Participate in technical design and code reviews to identify risks early and improve test hooks, service interfaces, and diagnostic capabilities. Balance building with hands-on testing. Perform manual, exploratory, and release testing where automation is not yet available or direct investigation provides greater value. Meet current delivery needs while building sustainable solutions. Develop mobile and Unity automation. Automate Android, iOS, and Unity workflows, accounting for device differences, application lifecycle events, network conditions, and client performance. Strengthen API and integration testing. Validate backend services, service contracts, client-server interactions, data integrity, and failure recovery through reliable automated tests. Validate player-state consistency and recovery. Test interrupted sessions, reconnects, retries, and client-server synchronization to help protect player progress and data integrity. Investigate failures across systems. Use logs, metrics, traces, crash reports, and telemetry to investigate client, backend, and integration failures, support root-cause analysis, and turn findings into regression coverage. Validate mobile and backend performance. Profile frame rate, memory usage, application startup, crashes, and responsiveness. Develop backend load, stress, and endurance tests, establish meaningful baselines, and investigate bottlenecks and regressions with engineers. Apply risk-based testing. Prioritize validation by player impact, technical complexity, change scope, and failure history. Combine service-level tests, targeted end-to-end automation, and exploratory testing. Integrate validation into CI/CD. Deliver reliable automated feedback, useful diagnostics, and maintainable quality checks. Improve test stability and execution time, with clear ownership of failures. Improve test data and environments. Build utilities, fixtures, and repeatable setup processes that make testing dependable and defects easier to reproduce. Develop AI-assisted quality workflows. Build and evaluate solutions for test generation, failure triage, regression selection, and coverage analysis, with human review and measurable outcomes. Strengthen telemetry validation and quality visibility. Partner with engineering and analytics to validate telemetry accuracy, completeness, duplicates, schema changes, and data freshness. Query large datasets to investigate issues and build quality dashboards that inform risk assessment and release decisions. Help establish the QE organization. Contribute standards, documentation, reusable patterns, and mentoring. Partner with developers, Quality Analysts, and technical leaders to strengthen shared ownership of quality. What We're Looking For Demonstrated quality engineering, software development in test, or software engineering experience, including hands-on ownership of automation used by other engineers. Strong programming skills in C# or Python, with the ability to work effectively in Unity and automation codebases. Experience in source control, code reviews, debugging, and maintainable software design. Practical experience testing and automating Android and iOS applications, including device coverage, operating system differences, and unreliable network conditions. Experience developing API and integration tests, diagnosing failures across services and data flows, and integrating reliable automated tests into CI/CD. Working knowledge of performance, risk-based, and exploratory testing, with sound judgment about what to automate and when to investigate directly. Working knowledge of SQL and practical experience with telemetry and big data, including querying large datasets, validating events and data pipelines, and using findings to guide testing and release decisions. Experience with AI-assisted engineering tools and the ability to evaluate the accuracy and usefulness of their outputs. Strong ownership and collaborative problem-solving, with the ability to turn ambiguous needs into practical solutions. A passion for quality, mobile games, AI, and technology. Advanced professional proficiency in spoken and written English, sufficient to participate independently in technical discussions, explain engineering decisions, and write clear documentation with global teams. Additional experience we value Hands-on experience with Unity, C#, Unity Test Framework, or automated testing of Unity-based mobile games. Experience with live-service games, player-state consistency, reconnect behavior, live configuration, or client-server synchronization. Experience with mobile device farms, observability, quality dashboards, or establishing QE capabilities within a growing team. What success looks like Teams receive faster, more trustworthy feedback and clearer visibility into release risk. Immediate testing needs are met while dependable automation grows around critical player journeys and integrations. Performance regressions surface earlier, failures are easier to diagnose, and repetitive effort decreases. Your tools are maintained, documented, and adopted by other engineers, and AI capabilities demonstrate measurable value. 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: Ukraine; Spain; Slovakia; Serbia; Yerevan; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: North Macedonia; Bosnia and Herzegovina; Czechia; Croatia; Moldova; Bulgaria; Montenegro Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDE and an FDX,  Forward Deployed Executives (FDX) own the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs. Forward Deployed Engineers (FDE) embed with a client, map the client workflow, identify the business problem underneath it, design and build a working AI solution, present to the client, and transfer the knowledge to the client's team. Owns technical direction of the whole solution. Senior AI Engineer. When an FDE comes back from the client with the business problem, you will help turn that into an agentic system that runs in production and will be responsible for evaluation, observability, and guardrails.  You'll have real ownership of components and of the technical decisions inside them. Requirements: Mindset Proactive and self-directed; you push for clarity rather than waiting for a ticket Excellent communication and problem-solving skills Comfort with ambiguity and ownership. B2+ English, comfortable collaborating across distributed, multicultural teams. Technical depth 5+ years in software or ML engineering, with production systems you were accountable for. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes. Shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks. Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production. Strong engineering fundamentals. Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure. Python and/or TypeScript proficiency; depth matters more than stack. Dropped into an unfamiliar codebase, you're productive. Hands-on AWS in production: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus. Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines. You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release. Model and agent monitoring, drift detection. Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs. Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus. MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus. Nice to Have: Experience in one of the industries: financial services, insurance, healthcare. Consulting, professional services, or other embedded customer-facing delivery. AWS and Claude Code Certifications A2A: you can explain agent-to-agent interoperability CI/CD pipeline experience (GitHub Actions, GitLab CI) Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines. Experience in an additional language (Go, TypeScript, or Rust). Experience with Apache Spark, Apache Airflow, Kafkа Responsibilities: Work in a pair with an FDE and an FDX. Build and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Build and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Integrate AI components into backend services and RESTful APIs Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD. Implement LLMOps and AgentOps practices: agent tracing, prompt and version management, cost and latency monitoring, regression testing, drift detection Start from the blueprint, contribute to enablement and handover: clear documentation, runbooks, and pairing with the client engineers who will inherit the system. Feed reusable components and lessons back into the Provectus Blueprints Participate in technical discussions and architectural decisions Conduct model evaluation, improve failure modes you find, optimize model performance, efficiency, and reliability Mentor junior and mid-level AI engineers, conduct code reviews and share knowledge across the team through documentation, presentations, and workshops. What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside FDE and FDX A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible

Location: Ukraine; Serbia; Yerevan; Spain; Slovakia; Slovenia; Poland Workplace: remote Provectus is an AWS Premier Partner and an Anthropic Strategic Partner, working at the frontier of applied AI. We help enterprises turn Claude, agentic systems, and their own data into measurable business outcomes — through bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, we partner with clients worldwide. Our work centers on two verticals — Financial Services & Insurance and Healthcare & Life Sciences — where we deploy five pre-built AI Blueprints: Submission Flow, Portfolio Lens, Asset Flow, Revenue Flow, and Evidence Lens. Each Blueprint rebuilds a critical business process front to back, shipped from working code and tuned to a client's specific book, regulators, and operating posture. Our team holds 100+ AWS certifications, is Claude Code certified, and co-delivers Anthropic's Agentic SDLC program, Cowork Activation, and AI Blueprint engagements. Where this role sits You will work in a small, senior pod alongside an FDX; our delivery arc is Sprint → Enable → Realize: Forward Deployed Executive (FDX) owns the commercial relationship and the business outcome. Works alongside the client's leadership or C-suite level to move the client's KPIs — revenue growth, cost reduction, risk reduction. Forward Deployed Engineer (FDE) embeds with a client to change how that client operates. You own the method; nobody hands you a ticket. You map the client workflow as it actually happens, identify the business problem underneath it, build a working AI solution, present to the client in the language of outcomes, and transfer it. Provectus maintains industry Blueprints — working systems that have already shipped for a client in the same industry — so you begin from running code and tuning it to this client's specific book, regulators, and operating posture. You will be measured on whether the Business Unit's number moved, not on hours or scope delivered. What You’ll Do: Take the seat Sit with the client and the Forward Deployed Executive at the start of an engagement. Learn the function from inside, not from a requirements doc, and redesign the function from first principles. Reach working fluency in a new domain — insurance underwriting, healthcare revenue cycle, asset flow. Build Design and ship production GenAI systems into the customer’s environment (cloud-native data, LLM-based, and agentic AI solutions). Implement and optimize RAG systems for production use cases Build the evaluation harness before you build the feature. Define what working means, instrument it, and let the evals drive the design. Write production code across the stack — AI, backend services, data pipelines. We choose tools to fit the customer. Take systems to production on AWS (GCP or Azure where the customer requires it): containerised, CI/CD, automated testing, monitoring, and maintainable after we leave. Hand the system over to the client. Start from the blueprint, and feed the blueprint. What you learn in the field becomes the baseline the next engagement starts from. Lead architecture reviews, produce technical design documents, and contribute to standards. Mentor engineers and share knowledge across the team. Own the outcome. Work in a pair with a FDX who carries the Business Unit’s KPIs. Your work is measured against the same number. Own the technical direction of technical proposals and scoping. Drive adoption. Change management is part of the engineering job here. Be credible with the customer’s engineers and their executives. Shape what we commit to before we commit to it. What You’ll Bring: Mindset Proactive and self-directed; identify problems before they're handed to you Comfort with ambiguity and ownership. Engagements start underspecified by design. Closing that gap is the job B2+ English, comfortable collaborating across distributed, multicultural teams Client Engagement You are willing to spend time understanding and doing someone else’s job on the client's side before you write a line of code Credible with senior stakeholders — you can hold a redesign conversation with a BU head and a scoping conversation with a CTO, presenting outcomes to them You can produce a scoped, phased delivery plan with clear deliverables, dependencies, and risks — and estimate what it will cost to build and to run Technical depth 7+ years building and running production systems. Solid AI/ML foundations. You understand what the models do well enough to reason about failure modes Designed and shipped to production LLM applications and agentic workflows — not demos, not POCs, not notebooks Agentic orchestration: multi-step workflows, graph-based orchestration, tool use, state management, and recovery from partial failure Experience with LLM APIs (Anthropic, AWS Bedrock, or OpenAI) and agent frameworks. Experience building and optimizing RAG systems in production Strong engineering fundamentals — dropped into an unfamiliar codebase or language, you’re productive. Python and/or TypeScript proficiency; depth matters more than stack. Experience in making and defending architectural trade-off decisions Hands-on AWS production depth: Bedrock, Bedrock AgentCore, Lambda, ECS, S3, SQS, ECR, or similar. GCP or Azure is a plus Cloud-native delivery: containers, ECS or Kubernetes, IaC, and CI/CD applied to AI pipelines You evaluate. You have built or owned an eval suite for a non-deterministic system, and you can explain what you measured, how you produced ground truth, and what gated a release Model and agent monitoring, drift detection Cost and latency discipline: model tiering, caching, and the ability to say what a workload costs to run before it runs Hands-on production experience with the Claude ecosystem —  Claude Code, CLAUDE.md, hooks, skills files.  Spec-driven development — writing the intent, constraints, and acceptance criteria before you let an agent build — is a strong plus MCP: you can say why an agent would prefer it to a REST integration. Having authored a server is a plus Nice to have: Prior experience as a founder, CTO, or engineering leader who has chosen to return to individual contribution Experience in one of the industries: financial services, insurance, healthcare Consulting, professional services, or other embedded customer-facing delivery A2A: you can explain agent-to-agent interoperability AWS and Claude Code Certifications CI/CD pipeline experience (GitHub Actions, GitLab CI) Experience in an additional language (Go, TypeScript, or Rust) Experience with Apache Spark, Apache Airflow, Kafkа What We Offer: The chance to shape how leading enterprises across LATAM, Europe, and North America adopt AI, from strategy through first deployment A forward-deployed model working in small, senior teams alongside Principal Architects and Forward Deployed Engineers A growing AI delivery practice where you help build the tooling and frameworks, not just use them Remote-friendly culture Internal training programs with full support for Claude, AWS, and other professional certifications, conference attendance Career growth; we actively develop our engineers Access to the latest AI tools and premium subscriptions Long-term B2B collaboration Private medical insurance or a budget for your medical needs Paid sick leave, vacation, and public holidays Equipment and all the tech you need for comfortable, productive work How we hire: Intro conversation. The role, your background and aspirations, tech questions. Technical interview with live engineering sessions. Real problems, your own editor, you may use an LLM assistant HR Interview. Soft skills and expectations HM interview. Tech questions; a live engineering session is also possible