Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is hiring a Staff Software Engineer to join the Business Systems team. In this role, you will play a crucial role in architecting, developing, and optimizing the backend infrastructure and user experiences that underpin WHOOP’s internal operations, enabling scale and efficiency across the organization. You’ll design, build and evolve critical services and integrations that support Supply & Demand Planning, Inventory Management, Order Management, Fulfillment & Logistics, Membership Services, and other business functions. This role is designed for a visionary backend engineer who is passionate about building scalable, reliable, and flexible systems, eager to tackle high-impact challenges, and committed to delivering user-centric solutions that pave the way for our growth.
RESPONSIBILITIES:
- Set technical direction for critical domains within the Business Systems team, establishing an architecture and roadmap that balances immediate business priorities with long-term reliability, flexibility, and scale.
- Architect, develop, and maintain backend services, APIs, integrations, and internal tools that connect business platforms, reduce manual work, and improve the accuracy and flow of data across systems.
- Design and implement well-loved user experiences to interact with backend systems.
- Partner with stakeholders across all of the teams mentioned above to understand critical workflows, identify opportunities for needle-moving improvement, and translate them into technical solutions.
- Lead engineering efforts for complex technical initiatives from discovery through production rollout, coordinating dependencies across teams and vendors and measuring outcomes through operational efficiency, reliability, and user adoption.
- Strengthen the security and resilience of business-critical systems through automated testing, observability, appropriate access controls, and improvements informed by production incidents.
- Mentor engineers and elevate technical decision-making through hands-on development, thoughtful design and code reviews, and clear documentation that builds shared understanding and ownership.
- Independently drive your agenda forward; this is a highly cross-functional role that needs broad trust and alignment in order to thrive. You must be skilled in driving this independently while also being able to move quickly.
QUALIFICATIONS:
- BS in Computer Science, Engineering, or equivalent experience.
- 8+ years of professional backend software engineering experience.
- Experience delivering and operating production software for complex business workflows, with demonstrated technical leadership across multiple systems or teams.
- Ability to evaluate architectural tradeoffs across custom software and third-party platforms, considering business value, security, reliability, and ongoing maintenance.
- Deep expertise in designing APIs, working with relational databases, and integrating enterprise applications or cloud services, including managing data consistency, retries, and failure recovery.
- Strong software engineering fundamentals and proficiency in at least one modern backend programming language (e.g., Java, Python, Go, or similar)., with a track record of writing maintainable, well-tested code.
- Demonstrated ability to interface with multiple product domains, particularly in developing backend solutions for resilient, high-throughput data processing networks, task automation, and streamlined workflows to optimize business operations
- Deep experience with cloud-based infrastructure (e.g., AWS, GCP, or Azure) and distributed systems.
- A strategic problem-solver with the ability to turn ambiguous business needs into practical technical plans and communicate decisions clearly to both technical and nontechnical stakeholders.
- A proactive, collaborative team player, eager to take on new challenges, continuously learn, and adapt in a fast-paced, data-informed environment
- Experience mentoring engineers and influencing cross-functional partners through collaboration, sound technical judgment, and a focus on shared outcomes.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Location: New York, NY (HQ)
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
As the Manager, Mid-Market Solutions at Ramp, you will lead and develop a high-performing team of Solutions Consultants supporting Mid-Market prospects and customers. You will establish the operating rhythm for a high-volume, fast-moving pre-sales motion; coach the team on discovery, demos, solution fit, and value-based selling; and partner closely with Sales, Product, Customer Success, Account Management, and Technical Consulting to deliver a consistent customer experience.
This is a player-coach leadership role. You will stay close to important opportunities while building a scalable team model: clear engagement standards, repeatable demos and discovery practices, strong capacity planning, and effective handoffs. You will use customer feedback and performance data to improve how Mid-Market Solutions Consultants help Ramp win, activate, and grow customers.
WHAT YOU'LL DO
- Lead, coach, and develop a team of Mid-Market Solutions Consultants; set clear expectations, provide regular feedback, and support career growth.
- Establish a high-quality operating cadence for pipeline reviews, staffing, deal strategy, call coaching, performance management, and cross-functional planning.
- Partner with Mid-Market Sales leadership to improve qualification, deploy Solutions capacity effectively, and build repeatable account and deal strategies.
- Coach the team to run high-quality discovery, deliver tailored and efficient demos, connect Ramp’s products to finance and accounting workflows, and navigate solution-fit conversations with confidence.
- Personally support the highest-priority or most complex Mid-Market opportunities, escalations, and customer-facing moments when needed.
- Build scalable playbooks, demo standards, discovery frameworks, enablement assets, and knowledge-sharing practices that raise the team’s quality and speed.
- Partner with Product, Product Marketing, Customer Success, Account Management, and Technical Consulting to translate recurring customer needs into clear feedback, strong handoffs, and improved customer outcomes.
- Define and inspect team health metrics such as coverage, conversion, cycle efficiency, demo quality, solution fit, customer outcomes, and talent development.
- Foster an inclusive, high-accountability culture grounded in customer empathy, collaboration, urgency, and continuous improvement.
- Identify practical ways for the team to use AI to improve preparation, documentation, deal research, demo readiness, and customer-facing work while maintaining good judgment.
WHAT YOU NEED
- 6+ years of experience in Solutions Consulting, Sales Engineering, Solutions Architecture, Professional Services, or a related customer-facing technical role, including 2+ years of people management or demonstrated player-coach leadership.
- Proven success leading or mentoring teams in a high-volume SaaS, fintech, or other customer-facing commercial environment.
- Strong understanding of financial operations, accounting workflows, and the needs of finance and operations stakeholders.
- Working knowledge of business systems and integrations, including ERP, HRIS, identity, or accounting platforms; APIs and file-based integrations are a plus.
- Demonstrated ability to coach others on discovery, solution fit, demo execution, commercial judgment, technical communication, and consultative selling.
- Strong operating judgment: able to prioritize team capacity, inspect pipeline health, use data to improve execution, and make clear trade-offs in a fast-paced environment.
- Proven ability to partner effectively with Sales and post-sales leaders while protecting customer trust and delivery readiness.
- Track record of building repeatable team processes, assets, and rituals that improve consistency beyond individual contributions.
- Excellent communication, organizational, and change-management skills.
NICE TO HAVE
- Experience in fintech, spend management, accounting automation, payments, or adjacent financial software.
- Familiarity with Ramp-relevant systems such as ERP, HRIS, identity, or accounting platforms.
- Experience using AI-assisted workflows to improve solutions, sales, or customer-facing team effectiveness.
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: Podgorica, Montenegro; Guatemala City, Guatemala; San Salvador, El Salvador; Caracas, Venezuela, Bolivarian Republic of; Bogotá, Colombia; Church Village, Barbados
Our client, a luxury hotel in Montenegro, Europe is seeking a skilled and reliable Handyman / Electrician to support its property maintenance operations. The successful candidate will be responsible for maintaining electrical installations, lighting systems, equipment, and other hotel facilities to ensure they remain safe, functional, and in excellent condition.
The ideal candidate has solid electrical maintenance skills, practical handyman experience, and the ability to respond promptly to maintenance issues while maintaining the high standards expected in a luxury hospitality environment.
Key Responsibilities
Perform routine maintenance and basic repairs of electrical installations, lighting systems, switches, sockets, and hotel equipment.
Troubleshoot and resolve minor electrical faults and technical issues safely and efficiently.
Conduct regular inspections of guest rooms, public areas, back-of-house facilities, and other hotel premises.
Carry out preventive maintenance to ensure hotel facilities and equipment remain in good working condition.
Perform general handyman duties, including minor plumbing repairs, furniture fixes, painting touch-ups, and other maintenance tasks as required.
Respond promptly to maintenance requests and report issues that require specialized technical assistance.
Coordinate with external technicians and service providers when necessary.
Maintain cleanliness and organization in work areas while minimizing disruption to hotel guests and daily operations.
Follow hotel procedures, workplace safety requirements, and applicable electrical safety standards.
Support the maintenance team in maintaining the hotel's quality standards and guest comfort.
Requirements
Previous experience as a Handyman, Electrician, Maintenance Technician, or in a similar role.
Good practical knowledge of electrical installations, lighting systems, and basic electrical repairs.
Ability to troubleshoot minor technical issues and carry out general maintenance tasks.
Familiarity with maintenance tools, equipment, and safe working practices.
Previous experience in a hotel, resort, or hospitality environment is an advantage.
Responsible, organized, and able to work independently as well as part of a team.
Good communication skills with a minimum B2 level of English.
Professional attitude and awareness of the service standards expected in a luxury hotel.
Willingness to relocate to Montenegro for the position.
Benefits
Monthly salary of €900–€1,000, accommodation and two meals provided, and an 8-hour workday, with 1 day off per week
Location: New York; San Francisco; Atlanta
Workplace: Hybrid
Company Description
We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day.
We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers.
Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale.
If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact.
With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.
OVERVIEW
We are seeking a talented and driven Solutions Engineer to join our Revenue organization. Reporting directly to our head of Solutions Engineering for North America, this is a highly visible, client-facing role where you will act as the primary technical expert for our enterprise merchants. This role offers a dynamic blend of pre-sales and implementation experiences, allowing you to guide our largest clients from their initial technical evaluation all the way through to a successful launch.
The role can based out of one of our three offices: NYC, Atlanta, and San Francisco, 3-days in office hybrid. Unfortunately we do not offer visa support or relocation at this time.
YOU WILL
- Immerse yourself in the payments industry and build a comprehensive understanding of the Checkout.com http://Checkout.com platform, including our core solutions, products, and services.
- Team up with Sales Representatives to engage directly with enterprise merchant prospects in a pre-sales context.
- Investigate and understand enterprise prospects’ pain points, business needs, and functional requirements to propose tailored, high-impact solutions.
- Deliver compelling presentations and product demonstrations to prospects, leveraging sales decks, user interfaces, API walk-throughs, reports, and integration examples.
- Take primary responsibility for the end-to-end technical lifecycle, encompassing pre-sales presentations, solution design, technical implementation, and go-live support.
- Serve as the internal voice of the merchant, collaborating cross-functionally with Product, Engineering, Financial Partnerships, and Finance teams to solve complex technical challenges and influence the Checkout.com http://Checkout.com product roadmap.
- Operate with an AI-forward mindset, actively utilizing AI tools to enhance productivity, efficiency, and overall output quality.
REQUIRED QUALIFICATIONS
- 2+ years of proven experience in the payments industry/expertise is required.
- Strong technical skills, as evidenced by your educational background or professional work experience.
- 2+ years of direct role-related experience in fields such as Sales Engineering, Implementation Engineering, Solutions Engineering, Technical Account Management, or Solutions Architecture or similar client-facing technical role (pre or post sale).
- Exceptional client-facing communication skills with a proven track record of managing external stakeholders.
- Deep understanding of API-based integrations, specifically with REST/JSON APIs, and proficiency with related development and testing tools like Postman.
- A natural problem-solver with strong analytical and debugging skills. You should be capable of reproducing, isolating, and clearly explaining technical issues using logs, API responses, and other diagnostic tools.
- The ability to distill complex technical concepts and communicate them clearly and effectively to a non-technical business audience.
- Highly organized and adaptable, with the ability to thrive in a fast-paced, high-growth environment while effectively managing shifting priorities.
NICE TO HAVE QUALIFICATIONS
- Industry-specific and role-specific experience at a Payment Service Provider (PSP) similar to Checkout.com http://Checkout.com.
- Exceptional technical skills, demonstrated through a formal engineering degree or highly technical professional work experience.
- Hands-on experience in specialist product domains such as Platforms (Independent Software Vendors, Payment Facilitators, or Marketplaces), Card Issuing, or In-Person Payments (IPP).
Additional Information
Bring all of you to work
We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.
Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.
We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.
It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.
Life at Checkout.com http://Checkout.com
We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.
Curious about what it’s like to be part of our team? Visit our Careers Page https://www.checkout.com/careers to learn more about our culture, open roles, and what drives us.
For a closer look at daily life at Checkout.com http://Checkout.com, follow us on LinkedIn https://www.linkedin.com/company/checkout/life/ and Instagram https://www.instagram.com/checkout_com/
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: Limassol, Cyprus
Spotware Systems is seeking an experienced
Senior QA Engineer (Full stack)
to join our dynamic and highly professional product team in our Limassol office (or remote). This role involves working closely with product managers and developers to ensure our products are robust, scalable, and meet high-quality standards. You will be involved in functional testing, customer scenario testing, stress testing, performance testing, sanity testing, enhancing the automation processes, and the overall QA improvement process.
Key Responsibilities:
Conduct thorough requirements analysis and collaborate with cross-functional teams to understand technical specifications.
Perform manual/automate functional/non-functional testing.
Identify, track, and report bugs, ensuring they are resolved promptly with clear root cause analysis.
Monitor and maintain test environments to ensure stability and efficiency in test execution.
Contribute to and execute test strategies for complex systems with high availability and reliability requirements.
Collaborate in code reviews to maintain high quality across automated tests and production code.
Requirements:
5+ years of experience in Quality Assurance, specifically in backend projects.
2+ years of experience in troubleshooting Java applications.
Proficiency in Java programming for test automation development.
Solid knowledge of testing methodologies and test design techniques (e.g., boundary value analysis, equivalence partitioning, state transition testing).
Experience in designing and maintaining test cases in Allure TestOps, including traceability to requirements and test reporting.
Hands-on experience with microservices architecture and event-driven architecture, including understanding of inter-service communication, message brokers, and asynchronous processing.
Proven experience testing TCP socket-based integrations (e.g., WebSocket, gRPC).
Strong analytical skills with the ability to perform impact analysis, create traceability matrices, and work with both functional and non-functional requirements.
Experience in identifying root causes and understanding issue consequences within complex backend environments.
Good working knowledge of SQL for validating backend data and queries.
Linux systems knowledge (CLI) for troubleshooting and test environment maintenance.
Excellent communication skills with a strong command of English (B1 or above) and Russian.
You use AI not just occasionally, but as a core part of how you think, work, and deliver results. Being AI-augmented is part of what makes you a top performer.
Preferred Qualifications:
Familiarity with binary protocols (e.g., FIX).
Hands-on experience with Databases like PG, Clickhouse
Hands-on experience with messaging and caching systems like Kafka, Redis
Experience in the Forex industry or trading platform knowledge.
Conditions:
Competitive salary.
Private medical insurance.
Relocation support (if applicable), including an entry permit, relocation bonus, flight tickets, and airport pickup.
Support with settling into life in Cyprus, including basic guidance on everyday matters, accommodation, banking, and healthcare.
A comfortable office environment with fresh fruits every day, treats or pizza on Wednesdays, and snack day on Fridays.
Fair remuneration based on your experience, skills, and level of responsibility.
Welcome Baby Bonus and Baby Box to celebrate the arrival of a child.
Birthday voucher.
Partial compensation for sports activities and wellness initiatives.
Greek language classes.
Location: New York, NY (HQ)
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.
Ramp is hiring Customer Activation Manager for Stack, Ramp's purpose-built AI accounting platform https://ramp.com/stack for accounting firms and in-house finance teams. Its agents follow each team's processes across connected systems to complete reviewable accounting work, from recurring tasks through close and reconciliations. You will help customers identify use cases, translate their accounting process into a practical implementation plan, and build trust in agentic bookkeeping through results, impact, and deployment. You will own the customer-facing path from discovery through adoption, partner with specialists on technical setup, and help shape the playbook as the product grows. This role calls for accounting judgment, experience bringing software or process change to life with customers, and an understanding of agentic workflows.
WHAT YOU’LL DO
- Learn how each customer handles close, reconciliations, journal entries, exceptions, and review today; identify where Stack and agentic workflows can deliver useful value.
- Translate the current process into an implementation plan with clear inputs, owners, dependencies, validation steps, and human review.
- Guide Controllers, accountants, and other stakeholders from discovery through first use, training, and repeat adoption; adjust the plan when confidence or usage stalls.
- Coordinate with Sales, Customer Success, Product, and other Ramp teams on deployments as well as process, systems, and product improvements
- Act as an advocate and expert on AI-assisted accounting work
- Turn early customer learnings into reusable discovery questions, launch steps, and adoption practices for the next implementation.
WHAT YOU’LL NEED
- Roughly 4+ years of relevant experience in customer success, software implementation, accounting systems implementation, finance transformation, consulting, or a related customer-facing role; level is flexible based on experience.
- Hands-on accounting fluency: you can explain source data, close or reconciliation steps, exceptions, controls, and sign-off with concrete examples.
- Experience translating an accounting or finance workflow into a software implementation or process change, with evidence of what improved.
- Ownership of customer or client adoption beyond setup, including stakeholder alignment, training, troubleshooting, and follow-through.
- Clear communication with both finance leaders and hands-on accountants, especially when a proposed automation needs validation or a change in scope.
- Comfort creating a plan and reusable process when the product and implementation motion are still evolving.
NICE TO HAVES
- CPA, public accounting, controllership, or accounting advisory experience paired with software implementation or consulting.
- Experience with accounting automation, close management, or forward-deployed accounting work.
- Familiarity with ERP or accounting-system integrations and the data or permission issues that arise during implementation.
- Experience helping accounting teams adopt AI-assisted workflows with appropriate human review.
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: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers people to perform at a higher level through a deeper understanding of their bodies and daily lives. We handle massive amounts of data continuously streaming up to the cloud from people improving their health and wellness to the world’s greatest sports teams and athletes mandating a fault-tolerant and highly available product.
The Connectivity Software Team builds the critical link between WHOOP hardware, the iOS app, and the cloud. As an iOS Software Engineer on this team, you’ll design and implement the software that enables WHOOP’s wearable sensors to communicate seamlessly with the mobile platform. You’ll develop and optimize connectivity experiences that are robust, efficient, and invisible to the member — ensuring reliable data flow across our entire ecosystem.
RESPONSIBILITIES:
- Design, implement, and maintain iOS application components that interface directly with WHOOP hardware over Bluetooth Low Energy (BLE), Wi-Fi, or other communication protocols.
- Develop background and system-level iOS services that ensure reliable device connectivity, synchronization, and data transfer.
- Leverage Swift and Combine to build resilient, efficient, and maintainable reactive pipelines for connectivity and data management.
- Collaborate closely with embedded firmware, mobile, and cloud engineers to diagnose and resolve issues across a distributed system.
- Drive continuous improvement of performance, power efficiency, and reliability in the WHOOP connectivity layer.
- Champion strong software architectural principles for testable, scalable, maintainable software on your own team and across the organization.
- Document new features and architecture using Jira, Confluence and preparing code using Github feature, develop, and master branches
- Participate in the release process including getting the app built, managing build variants, signing, sending and testing through Firebase, and submitting to the App store
QUALIFICATIONS:
- BS or MS in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.
- 3+ years of professional iOS software engineering experience with a solid foundation in Swift, iOS system APIs, concurrency, and memory management.
- Hands-on experience with Swift 6 Concurrency and background task processing for non-UI iOS features.
- Demonstrated examples applying architectural and platform-based software design principals to build scalable, modular, testable software.
- Experience debugging and diagnosing issues across complex or distributed systems (for example: firmware, mobile, backend) is a strong plus.
- Excellent collaboration and communication skills with a focus on cross-functional problem solving.
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.
Learn more about our Software Org and how to be successful in your engineering career at WHOOP via our Career Framework https://engineering.prod.whoop.com/careerframework.
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $150,000 - $215,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life.
WHOOP is hiring a Software Engineer II to join the Business Systems team. In this role, you will design, build, and maintain internal tools and integrations that power our business operations. You’ll work cross-functionally with teams across WHOOP to ensure that our systems are scalable, reliable, and efficient, directly impacting how we serve members and scale the business.
RESPONSIBILITIES:
- Develop, test, and deploy scalable software solutions that support internal operations, including integrations between business applications and services
- Partner with stakeholders across Finance, Operations (Supply Chain, Manufacturing, Quality, Logistics), Membership Services, and other teams to gather requirements and translate them into technical solutions
- Interface with critical business systems: NetSuite, Salesforce, Stripe, Boomi, and more, ensuring reliability, performance, and security
- Contribute to the design and implementation of APIs, data pipelines, and automation to improve business efficiency
- Collaborate with other engineers to share knowledge, establish best practices, and improve engineering processes
- Work collaboratively in a high growth environment with a product minded approach
- Consistently deliver features and code with an iterative approach
- Coach and up-level engineers in your team and neighboring teams through direct and indirect mentorship
QUALIFICATIONS:
- BS in Computer Science, Engineering, or equivalent experience
- 2–4 years of professional software development experience
- Proficiency in at least one modern programming language (e.g., Python, Java, JavaScript/TypeScript)
- Experience in API design, integrations, or middleware in a business systems environment
- Experience in relational database design, data modeling, and query optimization
- Strong problem-solving skills and ability to translate business needs into technical solutions
- Experience developing large scale, production-quality web applications
- Thrives with autonomy, with a positive attitude and ownership mentality
- Excellent communication and collaboration skills, with an eagerness to work cross-functionally
- Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $125,000 - $175,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Location: New Orleans, United States
Are you a health professional considering a career change?
Are you motivated by performance, accountability, and the challenge of building something within a defined territory?
If you have an allied health background — Physical Therapy, Athletic Training, Strength & Conditioning, or similar — and are hungry to learn the craft of consultative field sales, this Business Development Manager (BDM) role at VALD may be the next step in your career.
About VALD
VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 10,000 clients in over 150 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies.
Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with 5 offices across four continents.
Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation.
About the VALD Business Development Manager Role
This is a
FIELD SALES role
with defined territory ownership.
While this position is considered “remote” in that VALD does not operate a local office in every territory, this is not an inside sales or work-from-anywhere role. Business Development Managers are expected to spend time in the field meeting clients, performing product demonstrations, and developing relationships across their assigned territory.
Location & Residency Requirements
Applicants must live within 90 minutes of the posted metropolitan area associated with this role and able to travel around 3–4-hour radius of where they live.
Candidates who do not currently live within the territory must be willing to relocate within 30 days of offer/start date.
Applications from candidates planning to relocate will be considered; however, priority is given to qualified candidates already residing within the territory or those who have a history/network within the assigned territory
No relocation reimbursement is offered
.
About the VALD Business Development Team
The Business Development team are on the front line for VALD. As part of a truly global team, you will attend conferences and perform product demonstrations (both in-person and teleconferences) in clinical, performance, and tactical settings. You'll set up and oversee product trials, nurture new leads and look for new opportunities for VALD.
With an education-based approach to sales, as a Business Development Manager, you must have an intimate knowledge of VALD's systems. You'll leverage your industry expertise and product knowledge to demonstrate how our clients can get the most out of our systems to provide value to their business.
Is this you?
Travel & Field Expectations
Approximately 50% travel, primarily regional.
Frequent day travel by car, with occasional overnight stays depending on territory.
Limited air travel may be required based on geography (all work-related travel is reimbursed)
Standard working hours are expected, with occasional evenings or weekends required for conferences, events, or lead follow-up.
Reliable personal vehicle required (all work-related mileage is reimbursed).
Ability to transport and demonstrate VALD equipment; carrying demo equipment up to ~75 lbs is required. Vehicle suitability (to fit VALD systems) can be discussed during interviews.
Qualifications & Experience
Background in allied health or performance (PT, ATC, S&C, Exercise Science, or similar)
New graduates welcome; preferred candidates have 2+ years of field experience
Strong communication skills across in-person, virtual, and written formats
Comfort with cold prospecting (drop-ins, calls, emails)
Confidence engaging with professionals at all levels (students to executives)
Experience using CRM platforms (HubSpot preferred) and Microsoft 365 tools
Prior field sales experience is considered
only
if aligned with clinical background and having sold within subscription-based sales models
Who Succeeds in This Role
The strongest BDMs at VALD share two defining traits:
Lifelong learners
— curious, coachable, and driven to improve their craft.
GRIT
— able to handle rejection, fail forward, accept feedback without ego, and stay focused on long-term success.
This role is well suited for:
Health professionals seeking a career change into sales
Early-career BDMs
Mid-career sales professionals with relevant clinical and industry background
Key Responsibilities
Own and manage a defined sales territory across performance and health verticals
Self-generate a sales pipeline through outbound prospecting and marketing driven inbound opportunities
Conduct in-person and virtual product demonstrations & oversee client trials
Work full-cycle sales opportunities in partnership with Contracts and Client Success
Achieve monthly and quarterly quota targets based on quantity of systems sold
Accurately manage pipeline activity using CRM tools (HubSpot experience is a plus)
Represent VALD professionally at conferences, events, and industry meetings
Compensation & Benefits
Commission and on-target bonus structure
Home office setup or co-working allowance offered
Full VALD equipment demo kit, iPad, and a work computer
Monthly expense reimbursement
Monthly fitness and wellness allowance
Medical, vision, dental insurance, and 401(k)
It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application!
We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team.
Why VALD?
At VALD, you’ll join a global team redefining how performance and healthcare professionals measure and improve human movement.
We offer opportunities to learn from high-performing teams, collaborate across disciplines, and grow within a company that values curiosity, accountability, and impact. Semi-annual global team gatherings provide opportunities for professional development and connection, while our culture prioritizes inclusion, diversity, and long-term growth.
VALD Diversity & Inclusion Commitment
VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds.
Conditions of Employment
Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.
Location: Boston, MA
Workplace: OnSite
At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives.
WHOOP is seeking a Retail Experience Design Specialist II to help bring the WHOOP brand and product experience to life across physical retail environments. As a member of the Retail team, you will play an active role in the design and development of engaging, functional, and distinctly WHOOP spaces that introduce consumers to our products and create memorable brand experiences.
In this role, you will leverage your architectural training, design expertise, and professional experience to translate creative concepts into thoughtful, executable physical environments. You will take ownership of defined design workstreams and collaborate cross-functionally with Retail, Brand, Creative, Operations, and external partners throughout the design process—from early concepts and spatial planning through design development, documentation, production, and installation.
The ideal candidate has a professional degree in architecture, strong spatial and visual design skills, and experience applying architectural design principles to retail, experiential, or branded environments. You are a proactive and detail-oriented designer who can independently develop and communicate design solutions, navigate ambiguity, incorporate feedback, and balance creative ambition with technical and operational requirements. You thrive in a fast-paced, collaborative environment and are excited to contribute to the evolution of WHOOP's physical retail experience.
RESPONSIBILITIES:
● Design and develop WHOOP retail environments, including stores, shop-in-shops, pop-ups, fixtures, displays, merchandising elements, signage, and other physical brand touchpoints, taking ownership of assigned design deliverables and workstreams.
● Translate WHOOP brand principles and creative concepts into compelling, cohesive spatial experiences that balance aesthetics, functionality, product storytelling, customer journey, and business objectives.
● Independently develop and refine architectural and spatial design concepts through sketches, plans, elevations, 3D models, renderings, material studies, and presentations.
● Lead space planning and layout development for assigned projects, considering customer flow, product interaction, merchandising, accessibility, operational requirements, and site-specific constraints.
● Produce and maintain accurate, detailed design documentation that effectively communicates design intent to internal stakeholders, vendors, fabricators, and other external partners.
● Collaborate with cross-functional teams across Retail, Brand, Creative, and Operations to define project requirements, identify design opportunities, and translate business and customer needs into practical physical design solutions.
● Drive assigned design workstreams through multiple phases of the design process, from concept development and iteration through design development, production, installation, and launch, ensuring quality and consistency throughout.
● Research, evaluate, and recommend materials, finishes, furniture, fixtures, lighting, signage, and other environmental elements that align with WHOOP brand standards, design intent, durability, and budget requirements.
● Contribute to prototype development and design reviews, proactively identifying opportunities for improvement and refining solutions based on feasibility, cost, schedule, fabrication constraints, and customer experience.
● Work directly with vendors, fabricators, and external partners to communicate design requirements, review shop drawings, samples, and prototypes, resolve design-related questions, and ensure final executions align with design intent and WHOOP quality standards.
● Contribute to the development, refinement, and maintenance of retail design standards, guidelines, templates, and documentation that support a consistent and scalable WHOOP experience across locations and formats.
● Identify opportunities to improve design processes, documentation practices, and execution efficiencies, helping the team deliver high-quality retail environments at scale.
● Stay informed on trends and innovations across architecture, retail, experiential design, materials, fabrication, and consumer environments, proactively bringing relevant ideas and inspiration to the team.
● Manage multiple projects and design deliverables simultaneously, independently prioritizing tasks, communicating progress, and maintaining a high level of organization, accuracy, and attention to detail.
● Travel up to 10% domestically and internationally to support site visits, installations, retail openings, vendors, and project partners.
QUALIFICATIONS:
● Professional degree in architecture (M.Arch or BArch) required.
● 2–4 years of professional experience in architecture, retail design, experiential design, environmental design, or a related discipline, with demonstrated experience contributing to projects from concept through execution.
● Portfolio demonstrating strong architectural and design thinking, spatial problem-solving, visual communication, technical development, and an ability to translate concepts into compelling, buildable physical environments.
● Strong understanding of architectural design fundamentals, including space planning, scale, proportion, circulation, materials, detailing, and the integration of functional and operational requirements.
● Proficiency with architectural design and 3D modeling tools, including Rhino; visualization tools, including KeyShot and Enscape; and presentation tools, including Figma. Experience with Adobe Creative Suite, including Photoshop.
● Demonstrated ability to independently develop, refine, and communicate design ideas through sketches, plans, elevations, diagrams, 3D models, renderings, and presentations.
● Strong visual sensibility and understanding of how materials, color, lighting, graphics, product, and architecture work together to create a cohesive and elevated physical experience.
● Experience producing design documentation and coordinating with vendors, fabricators, or external partners to translate design concepts into physical executions.
● Ability to balance creative design intent with practical considerations, including constructibility, cost, timelines, material selection, and operational needs.
● Exceptional attention to detail with a demonstrated ability to deliver accurate, thoughtful, and high-quality design work with increasing independence.
● Strong written and verbal communication skills, with the ability to clearly articulate design ideas, rationale, and recommendations to both creative and non-creative audiences.
● Collaborative mindset with experience working across creative, operational, and technical teams, incorporating feedback, and proactively contributing to problem-solving.
● Strong organizational, project management, and time management skills, with the ability to independently manage multiple priorities, meet deadlines, and communicate project status and risks.
● Self-motivated, resourceful, and comfortable navigating ambiguity, taking initiative, and adapting quickly in a fast-paced environment.
● Passion for architecture, retail and experiential design, consumer experiences, and the intersection of physical space, technology, fitness, and wellness.
● Strong commitment to embracing and leveraging AI tools in day-to-day tasks, identifying opportunities to improve design workflows and efficiency while ensuring AI-assisted work meets the same high-quality standards as personal contributions
This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office.
Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.
WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.
At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.
The U.S. base salary range for this full-time position is $80,000 - $110,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.
In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.
These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.
Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.
Responsibilities:
— Define the technical vision, architecture, and standards across backend systems
— Ensure system reliability, scalability, and performance at global consumer scale
— Make high-quality architectural decisions across distributed systems, APIs, and data infrastructure
— Improve system performance, latency, and fault tolerance
— Foster a culture of ownership, accountability, and engineering excellence
— Support domain-based team structures (e.g. pricing, matching, supply engagement)
Requirements:
— 10+ years of experience in software engineering, with strong backend expertise
— Proven track record of designing and operating large-scale distributed systems
— Deep understanding of backend architecture, infrastructure, and platform concerns
— High technical judgment and attention to detail
— Experience in consumer-scale products or marketplaces
— Background in performance-critical systems (low latency, high availability)
Benefits:
— Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice
— Competitive salary
— Employee stock options plan
— Private medical and dental insurance
— Daily Lunch allowance
— Latest-generation MacBook Pro and 4k display
— Professional development stipend
— Relocation support, including visa sponsorship and allowance
ГибридseniorПротиворечивые условия: STAFF BACKEND ENGINEER | RELOCATION TO UK / CY | WHEELY #Relocation #fulltime #itjob #backend #staff https://teletype.in/@remoteit/PYlvHeOx4Ok; RELOCATION TO UK/CY | WHEELY Wheely is redefining premium transportation across major cities in Europe, the US, and the Middle East; pricing, matching, supply engagement) Requirements 10+ years of experience in software engineering, with strong backend expertise Proven track record of designing and operating large-scale distributed systems Deep understanding of backend architecture, infrastructure, and platform concerns High technical judgment and attention to detail Experience in consumer-scale products or marketplaces Background in performance-critical systems (low latency, high availability) What We Offer Office-based role in Nicosia, four days a week with flexible start and finish times, plus one remote day of your choice Competitive salary Employee stock options plan Private medical and dental insurance Daily Lunch allowance Latest-generation MacBook Pro and 4k display Professional development stipend Relocation support, including visa sponsorship and allowance APPLY
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.
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 & 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 publicly 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.
Apollo has taken steps toward becoming an embedded evaluator at frontier labs. We want to hire experienced senior researchers with a strong track record of getting things done to execute our embeddedevaluationplans.
KEY RESPONSIBILITIES
If embedded evaluations happen, you will be on one of the following teams:
On-site embedded evaluators:
This team will spend weeks or months embedded at a frontier AI lab, where they will conduct interviews, review the lab’s evidence, gather new evidence, and write a report. They will execute a playbook quickly and adapt to unforeseen circumstances. We hold our embedded evaluators to the highest standards, so you will likely have to first prove yourself within Apollo before being sent into an embedded campaign. That is, you will probably start on the applied research team to gain context on embedded evaluations. For this team, we prefer candidates with the right to work in the US who can be based in San Francisco.
Applied researchers:
This team will be the force-multiplier behind embedded evaluations. They will prepare on-site evaluators before they are embedded and support them while they are embedded. They will do the conceptual work to determine what evidence would support a safety case, and write the playbook for on-site evaluators to optimize how fast they can gather evidence. They will develop tooling for embedded evaluators, both ahead-of-time and urgently on demand. They will be the bridge connecting fundamental research and the on-site evaluators. For example, they might convert the methodology of
“Measuring Reward-Seeking via Contrastive Belief Updates”
into turnkey code and procedures. This team can work from any of our offices.
Both are high-stakes teams. On-site embedded evaluators should be exceptionally strong at quick execution under high pressure, and very strong at planning and research. Applied researchers should be exceptionally strong at planning and research, and very strong at quick execution under high pressure. For both teams, we are excited for experienced candidates who have owned ambitious projects end-to-end under tight deadlines.
KEY REQUIREMENTS
We don’t require a formal background or industry experience and welcome self-taught candidates. We assess demonstrated ability, including through independent research and nontraditional paths; prior formal management titles are not required.
Technical safety research judgment:
You have a strong track record of producing or leading technically rigorous research relevant to understanding and reducing risks from advanced AI. Your background might include alignment, interpretability, model evaluations, control, adversarial ML, or post-training. You understand modern model training well enough to interrogate a lab’s methods and learn unfamiliar pipelines quickly. Deep experience with frontier RL or post-training is valuable but not required.
Research leadership and delivery:
You have led ambitious technical projects end-to-end under hard deadlines and managed or closely supervised strong individual contributors (ICs). You can set research priorities, delegate meaningful ownership, review technical work, and keep a team focused on the questions that matter most.
Data Analysis & Pattern Recognition:
You can extract signal from large, messy datasets. You're comfortable with quantitative analysis and know when qualitative assessment is more appropriate. You can identify anomalies and unexpected model behaviors.
Writing for high-stakes audiences:
You have experience writing about qualitative and quantitative findings for different stakeholders. You can take a pile of unorganized technical information and communicate it effectively to lab safety teams, lab leadership, governments, or the public.
Strong understanding of scheming:
You have a strong conceptual understanding of ideas like metagaming, evaluation awareness, deception, and reward-seeking. You are familiar with classic literature like
Is Power-Seeking AI an Existential Risk?
and modern research.
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.
Professionalism:
You can represent Apollo independently in sustained, high-stakes technical collaborations. Your professional conduct is unimpeachable. You know when to tactfully resolve disagreements with partners and when to stand firm in negotiations, and you are excellent at both of those.
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.
Prior embedded expertise:
You have previous experience in professional services like auditing or consulting. You’ve learned lessons from working on-site with clients that will generalize to working with frontier AI labs.
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.
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 prefer on-site embedded evaluators to be permanently located in San Francisco.
Applied researchers can work from any of our offices. 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 science of scheming team’s research agenda with guidance from Marius Hobbhahn, though team members lead individual projects. You will mostly work with the science of scheming 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 (a) thinking about what embedded evaluators should investigate, (b) building a tool that would be useful for embedded evaluators and running it on suitable proxy data, and/or (c) writing a report based on mock findings.
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.
Location: Atlanta, Georgia
Workplace: Hybrid
ROLE SUMMARY
Temporal is rapidly scaling its field organization, and setting up every seller to succeed, from day one and well beyond, is critical to meeting and exceeding our most ambitious goals.
As a GTM Enablement Manager, Field Training & Readiness, you’ll be the face of enablement in front of our sales teams. You’ll lead the live sessions where new hires and tenured sellers build the skills and confidence to have great customer conversations: bootcamp modules, workshops, role plays, and ongoing skills sessions. You’ll work from a defined track and a curriculum built with the enablement team, and you’ll bring it to life with your stories, your energy, and your read of the room.
If you’re energized by being in front of a room, believe training should be memorable and behavior-changing rather than a slide-reading exercise, and want to partner closely with the sales and BDR teams on the ground, this role is for you.
WHAT YOU’LL DO
- Deliver training that sticks. Lead a regular cadence of live, interactive sessions for Account Executives and BDRs and other customer-facing roles, including new hire cohorts, skills workshops, and role plays. Your sessions are built around practice, not presentation.
- Own your delivery track. Take ownership of a defined slate of programs and a delivery calendar. You’ll work from a curriculum built with the broader enablement team and make it your own through storytelling, real examples, and adapting on the fly. You’ll also flag what’s working and what isn’t so the content keeps getting better.
- Partner with the field. Stay close to the sales and BDR teams in Atlanta and beyond. Show up in team meetings, run role-play and call-practice reinforcement with managers, and bring what you hear (what’s resonating, where reps are stuck) back to the enablement team.
- Bring in the experts. You won’t be the expert on everything, and you don’t need to be. You’ll deliver the fundamentals with confidence and know when to pull in an AE, SA, or product expert to take a session deeper.
- Close the loop. Gather feedback and simple leading indicators (participation, skill demonstration, manager input) after every session and use them to iterate.
- Pitch in on the work behind the work. Scheduling, session prep, LMS updates, and content upkeep are shared across the team. You’ll own your share.
- Flex where the impact is. The core of this role is training delivery. As the team and the field grow, there will be room to expand into onboarding, BDR enablement, and broader field readiness.
WHO YOU ARE (NEED TO HAVES)
- Location: Atlanta metro area, or willingness to relocate. This role involves in-person collaboration with our sales and BDR teams, with a strong preference for 1-2 days a week in the office. In-person attendance is required for biweekly bootcamp delivery.
- You’re a natural facilitator. You come alive in front of a room. You’re outgoing, personable, and engaging; you use stories to make concepts real, and you can hold a room’s attention for hours. Your strength is how you facilitate, not just how you present: you read the audience, draw people in, and adapt on the fly. People leave your sessions feeling equipped, not talked at.
- You have a credible foundation in sales or enablement. You come from one of two places: you’ve spent 2+ years in a sales role (AE or BDR/SDR management) and want to move into enablement, or you’ve spent 5+ years delivering sales training or enablement at a comparable company or level. Either way, sellers listen to you because you understand their reality and speak their language.
- You earn credibility with humility. You know you aren’t the expert in our product or our customers. You build trust by being curious, prepared, and honest about what you know, and by bringing the right people into the room when it matters.
- You’re coachable and a team player. You take feedback well, you ask for it, and you improve fast. Enablement touches every part of the business, and you’re as comfortable collaborating as you are owning your own work.
- You’re a builder who executes. You thrive where things aren’t fully figured out yet. You move fast, hold a high bar for quality, and run through walls to get things delivered, including the logistics.
- You’re AI-forward and always raising the bar. The way enablement gets done has fundamentally shifted. You’re already using AI, whether to prep and personalize sessions or to focus on the highest-leverage work, and you don’t settle for how it’s always been done.
YOU’LL THRIVE IN THIS ROLE IF
- You have a deep passion for Temporal’s mission and what we’re building for developers.
- You’ve enabled or sold into teams working with highly technical or infrastructure products, sold to developers, and/or navigated bottoms-up OSS/PLG and tops-down sales motions.
- You have experience enabling BDR/SDR teams, or you’ve led one.
- You’re familiar with Command of the Message and MEDDPICC, or you’ve facilitated a comparable sales methodology.
- You’ve enabled multiple audiences (e.g. AEs, BDRs, SAs, Managers).
Temporal Technologies is an Equal Opportunity Employer. Temporal Technologies does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need. We embrace and celebrate differences and diversity.
Temporal is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. If you need to request a reasonable accommodation, please let your Recruiter know so we can assist.
Location: Paris; London
Workplace: Hybrid
ABOUT MISTRAL
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms.
We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited.
THE ROLE
As an Enterprise Success Manager at Mistral, you own what happens to our most strategic enterprise accounts after the build: you make deployed AI stick in real workflows, keep production ARR healthy, defend renewals, and source the expansion signals Sales closes.
Mistral's Solutions teams create high-value AI use cases with our customers. Your job is to make those investments successful beyond delivery — adopting what has been built, operating it with confidence, measuring its business impact, and scaling value across the organization. You will work with customer sponsors, business teams, IT and security stakeholders, and across Mistral with Solutions, Product, Engineering and Support.
This is not a high-volume, ticket-queue customer success role. Portfolios are small and deep. It calls for a strategic account mindset, the technical judgment to navigate complex deployment environments, and the energy to build the customer success function as Mistral grows.
You will join on one of two tracks (and can move between them):
- Adoption track — embedded in flagship transformations while Solutions is still delivering. You own the adoption and change-management motion around the build: user waves, enablement, champions, training programs, and the measurement that proves value is landing.
- Operational track — you take accounts through a structured handover once Solutions completes delivery, and own the run phase end-to-end: operational health, value realization, renewals, and expansion signals.
In both tracks you operate in close partnership with Solutions: they deliver and hand over; you own post-handover; they re-engage on expansion signals. Occasionally, account teams will also pull you into late-stage pre-sales — authoring the customer training and scale-up plan that gives a buyer confidence in the rollout, a motion already credited in a major European win.
WHAT YOU WILL DO
OWN THE CUSTOMER SUCCESS AND VALUE PLAN
- Build a clear view of each account's objectives, stakeholders, deployed use cases, commitments and risks. Translate it into a shared success plan with owners, milestones and measurable outcomes.
- Establish a practical operating cadence with customer sponsors, business owners, IT and delivery teams. Lead success reviews that make progress, risks, decisions and next steps clear.
- Define a baseline and track the outcomes that matter for each use case: adoption and usage against entitled seats, customer satisfaction, operational health and business impact. Turn the evidence into a clear value narrative.
MAKE DEPLOYMENT REALITIES PART OF THE SUCCESS PLAN
- Understand how each customer's deployment model — on-premises, VPC or serverless — affects the products and use cases they can access, operate and scale. Validate the specifics with the technical teams rather than assuming feature parity or identical operating models.
- Identify the practical implications of deployment choices: security and data requirements, access and integrations, release and upgrade cadence, available features, capacity, observability and support processes. Explain the trade-offs clearly to customer and Mistral stakeholders.
- Translate those constraints into an actionable adoption plan: align enablement and release communications with the version the customer actually runs, account for security approvals and upgrade windows, and agree how to measure usage when telemetry is limited.
- Spot risks early, qualify their impact on adoption, renewal or value, and coordinate the right Solutions, Product, Engineering or Support owners to resolve them. Set clear expectations without making unvalidated technical or roadmap commitments.
DRIVE ADOPTION, AUTONOMY AND SUSTAINED VALUE
- Help customer teams move from a delivered use case to regular, effective use. Identify the users, workflows and change-management needs that determine whether it sticks.
- Coordinate onboarding, training, product updates and hands-on enablement with the right Mistral and customer teams. Develop customer champions and train-the-trainer motions so adoption scales beyond direct Mistral involvement.
- Prepare the transition from delivery to run: clarify operational ownership, support and escalation paths, and the resources users need to succeed independently.
- Monitor adoption and customer health, investigate where usage or value is falling short, and lead a coordinated plan to address the causes.
DEFEND AND GROW THE COMMERCIAL RELATIONSHIP
- Own the renewal motion for your accounts: know every renewal date, the auto vs non-auto renewal terms, and the risk story behind each one. Run the renewal play early — no surprises at renewal time.
- Track and improve account NRR. Identify new use cases, teams and expansion opportunities, and share them with the account team grounded in demonstrated value.
- Lead business reviews with the account team: value delivered, risks owned, decisions needed, roadmap asks.
BRING THE CUSTOMER VOICE INTO MISTRAL
- Gather and qualify feedback from users, technical teams and sponsors. Distinguish enablement needs from product gaps, deployment constraints and support issues, and route each to the right owner.
- Track important requests and communicate progress and limitations back to the customer, while Product and Engineering retain ownership of product and technical decisions.
BUILD THE COMPANY AS WELL AS THE ACCOUNT
- Create the playbooks, success plans, handover practices and measurement approaches that are missing. Test them with customers, improve them, and make them reusable across accounts.
- Bring structure to ambiguity: identify what needs to happen, make a plan, mobilize the right people and follow through — without waiting for a perfect process or detailed instructions.
- Roughly a fifth of your time is protected, rotating build time for exactly this work; it is part of the job, not extra to it.
WHAT WE'RE LOOKING FOR
- 5+ years of experience in customer-facing roles, such as Customer Success, Delivery/Implementation, or Solutions Consulting, ideally in a technical AI or SaaS environment.
- Experience owning outcomes for enterprise customers of technical products or deployed solutions — adoption and commercial outcomes (retention, renewal, expansion), not relationship management or activity reporting.
- Strong technical fluency in enterprise deployment models. You can identify what a deployment type (on-premises, VPC, serverless) means for available features, telemetry, upgrades and security reviews, and you validate specifics with technical teams instead of assuming parity.
- Ability to engage credibly with architects, engineers, IT and security teams, while translating technical trade-offs into clear business implications for executives and users. You know when to bring in a deeper technical expert.
- Strong ownership and builder energy. You have created structure or improved a process in an ambiguous, fast-moving environment and are motivated to build a company, not wait for clear directions.
- Excellent communication, stakeholder management and execution skills. You align teams without formal authority, surface risks early and drive decisions through to completion.
- Analytical and commercially minded: you can define meaningful success metrics, assess customer health, and are comfortable carrying renewal and NRR accountability.
- Fluent English; professional French strongly preferred (a significant share of our enterprise base is French-speaking).
NICE TO HAVE
- Experience with AI, machine learning, data platforms or complex enterprise software, including production deployments in regulated or security-sensitive environments.
- Experience working alongside deployment, engineering or professional services teams on custom use cases, and the transition from implementation to ongoing operation.
- Experience building adoption, change-management or customer education programs across large organizations.
- Experience at a forward-deployed, solutions-led company.
WHAT WE OFFER
We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks.
For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link.
PRIVACY POLICY
Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.
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ОфисseniorBoston, MA
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ОфисLondon & San Francisco; Relocation support and visa fees (if applicable)
seniorUnited States; Relocation assistance is not provided
ОфисleadLondon & San Francisco; Relocation support and visa fees (if applicable)
ГибридAtlanta, Georgia
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