Location: San Francisco
Workplace: Hybrid
About WorkOS 🚀
WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations.
We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid.
As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products.
ABOUT THE ROLE
We’re hiring an experienced Engineering Manager to lead Dashboard, the team helping customers get more value from the WorkOS suite and helping WorkOS grow as a business. We’re looking for a leader who is excited to manage engineers, but approaches the role as a startup founding member would.
You’ll lead engineers working across customer onboarding and growth, billing and monetization, and AI assistance in the WorkOS dashboard. The team’s work connects the customer journey from signup and integration through production and expansion. You’ll partner closely with design, go-to-market, finance, and other engineering teams to make that journey simpler and more effective.
This role offers meaningful autonomy to shape what we build and why. It’s a great fit for a strong product thinker who enjoys working closely with product managers and taking the lead on product decisions when the opportunity calls for it. You’ll have room to identify customer problems, propose new directions, and carry ideas from discovery through launch, with ownership of the outcomes. If you’re excited by the chance to combine engineering leadership with product judgment, there’s a lot to build here.
You’ll also drive technical strategy, empower your team to execute on projects with a direct impact on customer success and the business, and play a pivotal role in scaling the team and recruiting exceptional engineers.
WHAT YOUR TEAM WILL BUILD
- Growth and onboarding: help developers move from signing up to integrating and running WorkOS in production. Improve onboarding and next steps, and work with go-to-market teams on timely outreach informed by product signals.
- Billing and monetization: build annual-credit capabilities, make billing more reliable and automated, and give customers clearer pricing, usage, and credit information in the dashboard.
- AI assistance for developers: bring the Dashboard Agent, WorkOS MCP server, Ask WorkOS, and Support Bot into a coordinated experience, with shared retrieval, evaluations, and quality standards. Help developers get useful, consistent answers and make progress with WorkOS.
RESPONSIBILITIES
- Build and lead a high-velocity team that ships product fast and with polish across growth, monetization, and developer assistance.
- Be deeply technical and hands-on: read the PRs, write prototypes, and work with technical leads on architecture and project scope.
- Shape the roadmap in close partnership with product managers, design, go-to-market, finance, and engineering. Bring your own product perspective, identify opportunities, and drive product decisions directly where needed—from defining the problem and choosing an approach to measuring the outcome.
- Help the team improve the customer journey from signup to production and expansion, using product signals and customer feedback to choose what to build next.
- Balance rapid product iteration with the reliability and correctness customers need from billing and the quality they expect from AI assistance.
- Push for clarity, focus, and high energy in every sprint. Drive urgency without burning people out.
- Spend time with customers and engineers alike—digging into pain points, testing assumptions, and improving the craft.
- Coach, mentor, and grow a team of curious, driven engineers through direct feedback, clear goals, and meaningful ownership.
- Partner with recruiting to attract, hire, and retain exceptional engineering talent.
QUALIFICATIONS
- Track record of having successfully led product-focused engineering teams in high-performing organizations that shipped real impact.
- You've written code at a high level, and you still love to get your hands dirty. You view leadership as an amplifier, not a step back.
- Bias for action and scrappiness: You don’t over-optimize for process. You optimize for velocity, customer value, and learning.
- You deeply care about the developer experience. You think about UX, APIs, performance, edge cases, and joy.
- You ask "why" obsessively, and you push yourself (and your team) to learn constantly.
- You build trust, give direct feedback, and create space for engineers to thrive.
- You have experience partnering with internal recruiting teams to drive effective and fair hiring processes. You realize that recruiting is a large and important part of your role, and have a track record of recruiting, hiring, and mentoring top engineering talent.
- You’re a strong product thinker who connects customer needs, technical possibilities, and business outcomes. You collaborate well with product managers and are comfortable driving product decisions yourself, using customer insight and evidence to make tradeoffs and build alignment.
Experience with onboarding and growth, billing systems, or customer-facing AI products is especially relevant. You do not need prior experience in all three areas.
Benefits and Perks (US Only) 💖
At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.
- 401k matching
- Competitive Equity
- Healthcare, dental and vision coverage
- FSA, ST/LT Disability, Voluntary Life
- Carrot fertility benefits
- 20 days paid vacation + 10 holidays + unlimited sick leave
- 12 weeks fully paid parental leave
- Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active
- Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being
- Commuter benefits for hybrid employees in SF/NYC
- Unlimited token usage!
Please inquire directly with our recruiting team for benefits available to those working outside the US.
Equal Opportunity Employer
WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: Remote (APAC)
Workplace: Remote
ABOUT CLIPBOARD
Our mission is to uplift as many communities as possible. We do this through our app-based marketplace that connects healthcare professionals with the workplaces that need amazing workers. This enables hundreds of thousands of people to achieve financial stability for themselves and their families while providing essential care to millions of people across the U.S.
Founded in 2016, we are a remote-first team of over 1,000 people building a top Y-Combinator company https://www.ycombinator.com/topcompanies/ and have been profitable since 2022. We’re the leader in Long-Term Care staffing and are rapidly expanding into Home Health, Hospitals, and more, meaning we have more work to do than people to do it, and are growing our team to support millions more people and their communities.
ABOUT THE ROLE:
As a Documents Voice and Chat Specialist, you will deliver frontline support across phone, chat, and email, reviewing, validating, and processing sensitive documents submitted by workers. Your responsibilities will be critical to ensuring compliance, safety, and the overall quality of our marketplace.
If you excel at navigating complex workflows and take pride in upholding quality and compliance standards at scale while driving customer experience, this role is for you!
WHAT YOU’LL DO
- Customer Communication: Engage with customers/workers via email/chat/phone to resolve discrepancies, verify missing information, and guide them through the document submission process, maintaining professional and empathetic interactions.
- Document Validation & Compliance: Review documents for completeness, accuracy, integrity, expiration, and compliance with internal SOPs and regulatory standards.
- Issue Resolution & Escalation: Flag unclear or inauthentic documents, escalate per defined procedures, and document resolution steps with clarity.
- SOP & Process Adherence: Follow step-by-step validation checklists, tag documents correctly, and log outcomes in internal systems.
- Data Integrity & Reporting: Maintain accurate internal notes, update tickets, and highlight trends or recurring issues to management.
- Cross‑Functional Collaboration: Work with Training, Quality Assurance, and SMEs to refine workflows and help address systemic issues.
WHAT WE'RE LOOKING FOR
- Experience in trust & safety, document verification, compliance operations, credentialing, or customer support—particularly in a fast-paced or highly regulated environment.
- Sharp attention to detail and strong analytical skills—you catch what others overlook and think critically in real time.
- Confidence in making fast, sound decisions, even when information is incomplete or ambiguous.
- Excellent written and verbal communication skills with the ability to simplify complex or sensitive topics for customers.
- Highly organized, dependable, and action-oriented—you follow through and take ownership of outcomes.
- Demonstrated success working independently in remote setups while staying closely aligned with team goals and priorities.
- Comfortable navigating tools like Slack, Google Sheets, and ticketing/task management systems.
- Collaborative mindset with a willingness to give and receive feedback to continuously improve processes and outcomes.
HIRING PROCESS
- Application
- Assessment (sent via email; please check your spam folder)
- Interview with a member of our recruiting team
- Final interviews and offer
TECHNICAL & WORKSPACE REQUIREMENTS
- Wired internet connection with minimum 15Mbps download speed.
- Minimum system requirements:
- Intel Core i5 (8th Generation or newer)
- AMD Ryzen 5 (2000 Series or newer)
- Apple M1 or newer
- Minimum 12 GB RAM (16 GB recommended)
- Quiet and professional working environment.
- A noise-canceling headset.
- Reliable internet connectivity and backup power or internet whenever possible.
IMPORTANT
- This role requires the completion of an assessment built from synthetic (not real-world) data. Please check your inbox and spam folder regularly: you will get the email within 1–2 days after applying.
- Clipboard operates 24/7. Team members work 5 days within a 7-day schedule, including both Saturday and Sunday availability. We're currently looking to fill our Mon-Fri 6am-3pm PT shifts but that schedule could change in the future.
- Each candidate's compensation offer will be based on multiple factors including, but not limited to, relevant education, qualifications, certifications, experience, and geographic location.
- Do not take interviews via a mobile phone.
Quick Note on Scammers:
Clipboard would never ask you for money or your bank details to participate in our hiring process. Report any scammers impersonating the Clipboard hiring team members here https://forms.gle/SyGaxHFbon7Hg9fW6.
Location: San Francisco, California; New York, New York
Workplace: Hybrid
WHO WE ARE
Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion.
Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work.
ABOUT THE ROLE:
We are seeking an experienced sales recruiting leader to drive recruiting efforts across the Americas (AMER). This leadership role will be responsible for building high-caliber sales teams across Solutions Consultants, Outcomes Architects, Business Development Representatives, and field leadership roles. The ideal candidate will bring deep expertise in sales recruiting and a proven track record of pairing strong people leadership with the operational rigor required to deliver aggressive hiring plans. This person will stay close to headcount and pipeline data and work closely with sales leadership to keep hiring targets on track.
This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days.
WHAT YOU'LL ACHIEVE:
- Own AMER hiring strategy: Shape and execute the AMER Sales hiring strategy through headcount forecasting, pipeline analysis, and recruiting capacity planning, with clear accountability for delivering against ambitious growth targets
- Protect talent density: Partner with AMER Sales leaders to define exceptional talent profiles, calibrate hiring teams on evidence-based assessment, and ensure every hire raises the bar.
- Influence business strategy: Serve as the hiring subject matter expert and trusted advisor to the GM of AMER Sales and broader Sales leadership team, using talent, market, and recruiting insights to shape business decisions, workforce plans, and hiring priorities.
- Team leadership: Build and lead a high-performing team of sales recruiters, hiring exceptional talent and providing clear direction, coaching, and development.
- Drive operational rigor: Establish a consistent weekly operating rhythm to review headcount, pipeline health, recruiter capacity, risks, and progress against hiring targets, taking action when plans are off track
- Talent pipeline development: Build and maintain robust talent pipelines for current and future hiring needs across all sales disciplines
- Shape decisions through data: Leverage headcount, pipeline, market, and recruiting performance data to generate insights, influence business decisions, and shape workforce and hiring strategy.
- Employer branding: Collaborate with marketing and talent brand teams to strengthen our employer value proposition in the sales community
SKILLS YOU'LL NEED TO BRING:
- 7+ years of recruiting leadership experience with a focus on sales and GTM roles
- Proven track record of building and scaling sales organizations in high-growth environments
- Strong leadership skills with a track record of building, growing, and developing high-performing recruiting teams where people do their best work.
- Strategic mindset with the ability to balance long-term planning with tactical execution
- Hands-on forecasting and analytical capability with experience using headcount, pipeline, and capacity data to manage hiring-plan delivery in close partnership with RevOps and Finance
- Excellent stakeholder management and ability to influence senior sales leadership
- Knowledge of market dynamics and sales compensation trends
- You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results
Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $225,000 - $275,000 per year.
By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528.
#LI-Onsite
A NOTE ON AI
You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on.
EQUAL OPPORTUNITY & ACCOMMODATIONS
We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know.
Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.
Location: Remote, United States
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An Overview about the Role
We're looking for a Senior Product Manager to own the Lead-to-Opportunity (L2O) domain within our Salesforce and GTM technology ecosystem. This role sits at the intersection of marketing operations, sales process, and technology owning the roadmap for how leads are captured, scored, routed, and converted into pipeline, and how our broader GTM tech stack supports that motion.
This is a foundational hire one of the first product managers on a team actively transforming from a reactive BSA model into a proactive, roadmap-driven product organization. You'll be both an individual contributor driving your own domain and a mentor helping BSAs grow into product manager roles. You'll have direct influence over how we shape the team's future operating model.
What You'll Do
Internal Product Roadmap Ownership
Define, own, and maintain the multi-quarter internal product roadmap for the Lead-to-Opportunity domain covering lead capture, enrichment, scoring, routing, conversion, opportunity and the broader GTM technology stack integrated with Salesforce
Translate business strategy from Marketing, Sales Development, RevOps, and GTM leadership into sequenced, prioritized system capabilities with clear outcomes and success metrics
Define the domain's strategic priorities each quarter and half, balancing net-new capability delivery, stabilization, and technical debt reduction with transparent trade-off frameworks
Drive quarterly planning ceremonies, partnering with Engineering Managers and BSAs to align capacity with roadmap commitments
Own domain-level documentation: process maps, current-vs-future state lead lifecycle flows, and decision logs that keep stakeholders and the team aligned on scope and ownership
Stakeholder Partnership & Requirements Translation
Serve as the primary product voice for all L2O and GTM Systems initiatives, partnering closely with Marketing, Marketing Operations, SDR/BDR leadership, Sales, and RevOps
Lead discovery, requirements workshops, and business process design sessions translating complex GTM and marketing operations requirements into actionable system specifications
Own the decision layer between "what the business needs" and "what engineering builds," resolving ambiguity with structured frameworks and documented decisions
Run structured stakeholder alignment sessions to surface trade-offs, build consensus, and drive open decisions to closure rather than letting them linger
Represent the domain in cross-team planning and leadership reviews able to explain technical constraints to business stakeholders and business context to engineers
Team Mentorship & Capability Building
Act as a product craft mentor and senior thought partner for the BSA team, actively upskilling analysts in product thinking, requirements structuring, acceptance criteria definition, and roadmap communication
Model and codify what "good" looks like reusable templates, rituals (backlog grooming, roadmap reviews), and a rubric BSAs can grow against
Give BSAs increasing ownership over pieces of the roadmap as they develop, with regular feedback and structured check-ins
Partner with leadership to evolve the team's operating model from project-execution-focused to product-thinking-led, raising the bar for how EntApps delivers business value
Program Strategy & Delivery Oversight
Lead initiatives end-to-end: discovery, requirements, prioritization, solution design review, UAT, launch, and post-launch measurement
Write and maintain clear user stories, acceptance criteria, and lead-flow and data-flow diagrams that engineering and admins can build against without ambiguity
Manage a healthy, well-groomed backlog intake requests from Marketing and Sales Development, triage by impact and effort, and defend prioritization decisions to stakeholders
Define success metrics per initiative (lead response time, routing accuracy, lead-to-opportunity conversion rate, data quality, SDR/BDR adoption) and report on outcomes, not just delivery
Identify and de-risk dependencies across adjacent domains campaign operations, data enrichment vendors, opportunity handoff to sales before they block delivery
Own UAT strategy and acceptance criteria in collaboration with BSAs, ensuring system changes meet business requirements before production release
Systems Architecture Collaboration
Partner with Enterprise Architects and Engineering Managers on Salesforce and MarTech integration design marketing automation platform to Salesforce sync, data enrichment pipelines, lead scoring and routing engines, ensuring choices hold up to governance, scale, and future roadmap needs
Bring informed opinions on GTM platform architecture trade-offs based on deep domain knowledge
Stay current on platform roadmaps for Salesforce Sales Cloud and connected MarTech tools, identifying opportunities to leverage native capabilities before custom builds
Maintain domain-level R&R clarity, who owns what across US/India technical managers, BSAs, and adjacent pods and update as team and scope evolve
Ability to engage deeply with engineering and architecture teams on API design, data modeling, and integration patterns.
What You'll Bring
7+ years in Salesforce product management, business systems analysis, or Marketing/Revenue Operations technology roles, with demonstrated growth into product ownership
Strong working knowledge of Lead-to-Opportunity processes; lead capture, scoring, routing, and conversion and how they connect marketing execution to sales pipeline
Hands-on familiarity with the GTM technology stack: Salesforce Sales Cloud plus marketing automation platforms (Marketo, HubSpot, or Pardot), lead scoring and routing tools, and data enrichment or intent providers
Good Understanding of quoting process
Demonstrated ability to own and communicate multi-quarter internal product roadmaps to senior business and technology stakeholders
Proven experience leading initiatives end-to-end with multiple stakeholders and competing priorities, especially across Marketing and Sales
Sufficient technical fluency to engage meaningfully with engineering on API design, data model decisions, and integration trade-offs — without needing to write code
Experience mentoring or upskilling analysts and BSAs, you enjoy developing people, not just managing tickets
Excellent written and verbal communication; able to represent technical trade-offs to non-technical executives and translate business asks into clear technical requirements
Comfortable operating in ambiguity and driving structure where none exists
Experience with AI-assisted development workflows, data governance and compliance for lead data, or prior people-management experience
About the Team
You'll be one of the first product managers on a team actively transforming from a reactive BSA function into a proactive, roadmap-driven product organization. The Lead-to-Opportunity domain sits at the top of GitLab's revenue funnel; the quality of data, routing, and conversion here affects every downstream system and every seller. Getting this right is not an IT problem; it's a revenue problem. You'll have direct influence over how we shape the team's future operating model and how the next generation of BSAs grows into product managers.
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our
benefits
and
equity
. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.
United States Salary Range
$104,800
—
$176,400 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
Collaborates regularly with Digital Marketing, Brand and Visuals, and IS teams to discuss project requirements and makes technical recommendations. Writes efficient code and maintains custom donation forms, advocacy forms, other webpages, and email templates.
Location: London, United Kingdom - Deliveroo
Our Global Structure
Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team.
Senior Software Engineer, Full Stack - New Verticals
Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Engineering teams tackle complex technical challenges across a global, three-sided marketplace, building and scaling systems that serve millions of customers, riders and partners every day.
From real-time logistics to resilient infrastructure and marketplace optimisation, we design, build and operate technology that powers Deliveroo’s growth at scale.
We partner with some of the largest grocery retailers in the world, as well as a large number of small independent grocers.
In November 2023 we launched our non-food retail offering, Deliveroo ‘Shopping’, where we work with large and small merchants. We oversee all operations within the grocery and retail ecosystem, ensuring stores are equipped to receive and efficiently process orders. Our solutions empower stores to manage orders seamlessly through multiple channels, including our in-house app, API integration, and devices pre-installed with our software. Additionally, we provide tools to maintain and update product catalogs, ensuring accurate inventory for consumers. The technology we’ve developed enables our partners to pick the correct items swiftly while keeping inventory data current, optimizing both efficiency and accuracy.
We’re looking for a
Senior Software Engineer - Full Stack
to join our
London
team. In this role, you’ll help us build and scale seamless, high-performance features that span our entire stack, ensuring a world-class experience for our customers, partners, and riders.
Get to know our
Engineering team
— what drives us, how we work, and what you can expect.
What You’ll Be Doing
This role is based in our London office with a
hybrid
setup, typically 3 days in the office.
Here’s what your day-to-day might look like:
Drive Technical Excellence:
Improve code structure and architecture across your team’s remit, developing, releasing and running large-scale web applications whilst transitioning our monolithic codebase to a microservice-based architecture
Lead Project Planning:
Foresee dependencies and risks, partnering closely with Product and Design to ensure smooth delivery of complex features, whilst defining the backend architecture and tech stack for a product area
Optimise Operations:
Improve performance, reliability, scalability and security for our backend systems
Collaborate & Influence:
Build relationships across global engineering teams to identify collaboration opportunities and influence the wider technical roadmap.
Mentor & Hire:
Support the personal growth of your colleagues through technical guidance and take an active role in conducting engineering interviews to scale our team.
What You’ll Need to Thrive
Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:
Proficiency in using AI coding tools
(e.g., Claude Code, Codex, Cursor) in the full software development lifecycle, including designing, generating code, testing, monitoring and releasing software
Strong Engineering Principles:
Deep pride in writing readable, well-designed, and well-tested software.
Backend Expertise:
Significant experience building web-based applications (we use Go, Ruby/Rails, Python, Scala, and Rust, React).
Data Proficiency:
Practical experience with relational databases (PostgreSQL, MySQL) and "NoSQL" backends like Redis, DynamoDB, or ElasticSearch.
Systems at Scale:
Proven ability to manage web architecture at scale (handling 20krpm and above).
Technical Leadership:
Experience breaking down large pieces of work and guiding implementation choices for a team of engineers.
Why Join Us?
At Deliveroo, you’ll do work that matters—solving real-world problems in a three-sided marketplace that’s constantly evolving. We’re food lovers, problem solvers, community builders and more, brought together by a shared drive to make things better. Working here you can expect to:
🔧
Solve meaningful problems at real scale
Work on a complex, always-on marketplace that impacts millions every day.
🌱
See your impact, fast
Ship, test and improve ideas quickly in a low-hierarchy, high-ownership environment.
🧠
Grow through challenge and ownership
Take on big, ambiguous problems and accelerate your career with strong support.
🌎
A culture built for builders
High standards, collaboration, flexible working and continuous learning.
💰
Share in the success you help create
Competitive salary and equity options, so you’re rewarded for the impact you make.
➡️ Want a deeper look at how we build? Check out our
Tech Blog
.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages.
Explore our Engineering Interview Guide here
to help you feel confident at each stage.
Diversity, Equity and Inclusion
At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong.
We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief.
If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience.
If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you!
Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at
careersatdoordash.com/recruitment-scam-awareness
.
Location: EMEA; Toronto; Ireland; Portugal; United Kingdom; Spain
Workplace: Remote
✨ ONE PLATFORM, A WHOLE WORLD OF OPPORTUNITY
The best jobs have always clustered in a handful of the world's wealthiest cities. But talent is everywhere. Oyster set out to close that gap - building a global employment platform that lets companies hire, pay, and care for brilliant people anywhere.
We're proof that a high-performing culture doesn't need an office. Distributed across 60+ countries since 2020, we've built something the industry keeps noticing:
- Ranked #10 of 250 on TIME and Statista's 2026 list of America's Top WorkTech Companies https://www.oysterhr.com/library/oyster-hr-named-10-of-americas-top-worktech-companies-of-2026-by-time
- Named one of America's Greatest Startup Workplaces 2026 https://www.oysterhr.com/library/oyster-2026-newsweek-award by Newsweek
- A G2 Spring 2026 Leader https://www.oysterhr.com/library/oyster-named-best-roi-for-any-global-employment-platform-for-g2-spring-2026 across Employer of Record, Global Employment, Multi-country Payroll, and HR Compliance
- The only B Corp-certified global employment platform ~ independently verified since 2023
Two of those rankings measured our business impact from the outside. One measured how our own people feel about working here. They landed in the same place ~ because at Oyster, culture and performance aren't separate conversations. They're the same one.
And we're just getting started. If you want to do the best work of your career alongside people who care as much as you do, we'd love for you to apply.
THE ROLE
Location: While this position is posted in a specific location, all of Oyster's positions are fully remote and you can work from home. Forever. To create the best experience for our new hire, this role requires you to be based within -5 / +3 UTC.
As Senior Director of Product for our Employer of Record offering, you will own the product vision, strategy and execution across the full EOR employment lifecycle, from onboarding and documentation through time off, benefits, pay and offboarding. That spans the workflows our customers use, the internal tooling our operations teams rely on, and the experience of the employees we employ on our customers' behalf.
This is the core of Oyster's business and it is operationally and legally complex. A payroll delay, a contract issue or a compliance gap becomes a customer escalation, a legal question and an operations fire on the same day. We want someone who treats the whole journey as one experience, for our customers and for the people who have to run it.
As a part of the senior leadership team at Oyster, you will be shaping strategy well beyond your own teams, setting direction across multiple product development teams and trusted to make the calls that define where this part of the business goes. You will be leading through real change: we are raising the bar on performance, moving toward direct feedback and radical candour, and reshaping how we build with AI.
WHAT YOU WILL OWN
- Own the product vision, strategy and roadmap for EOR, and connect team-level work to company outcomes.
- Be accountable for the end-to-end performance of the platform, including the downstream operational reality, not only what ships.
- Turn highly localised, complex regulation into scalable, automated workflows rather than manual workarounds held together by our operations teams.
- Prioritise across new capability, regulatory requirements, technical debt and operational improvement, across several teams at once.
- Coach and grow a team of product managers and group product managers, moving them from delivering features to owning problems and outcomes.
- Partner with Engineering and Design leadership as a real counterpart, holding proper tension on trade-offs without dominating or giving in too easily.
- Partner with Operations, Legal and Finance to shape where this business goes, including the margin and risk picture.
- Build an AI-first way of working in the product organisation: how we discover, prototype and learn, not just what we ship.
WHAT WE ARE LOOKING FOR
- 10+ years in product management, including 5 to 7 years leading other product managers, with measurable business and customer outcomes behind you.
- Experience in operationally or legally complex B2B or Fintech. HR tech, EOR, payroll or compliance is ideal, though the complexity matters more to us than the sector.
- A systems thinker who starts from first principles and diagnoses before proposing.
- Hands-on experience using AI to change how your team works, not only what it ships. We will ask what decision changed because of something you learned.
- Able to set product vision at business-unit level and generate real buy-in when priorities shift.
- Proven people leadership: coaching product managers into leaders, holding a clear bar, having the difficult conversation early.
- Experience leading through structural change, and comfort with ambiguity as an opportunity rather than a risk.
- Communication strong enough to influence senior stakeholders, backed by a mechanism that turns agreement into delivery.
You'll also need
- A reliable home internet connection, or be able to get one.
- Fluent English language skills.
HOW WE WORK TOGETHER AT OYSTER
Our values guide the work we do, the decisions we make, and the culture that makes Oyster what it is. We make it happen—progress is our default setting. We drive change, we build and give trust, and we move as one united team.
Our mission is to create a more equal world of work: helping companies everywhere hire, pay, and care for talent anywhere. Everything we do ladders up to our mission. We embrace asynchronous, collaborative work and share how we operate in the Oyster Public HQ https://oysterhr.notion.site/Welcome-to-The-Reef-Oyster-s-Open-Source-Employee-Guide-fc482e3f107c4afd8c85ed217f1d0c1d so other global teams can learn from us.
HOW YOU WORK
With diverse locations, cultures, and needs, we created How YOU Work; https://oysterhr.notion.site/How-YOU-work-ac16c1932e314ffd8cb693e332458395 a program supporting your whole human experience at Oyster:
- Work from anywhere: Oyster has no borders or HQ. As long as work is timely, your team is supported, and you're authorized to work where you live, you can work from anywhere.
- Paid time off: Enjoy 40 days off per year (including holidays and vacation), or more if required by your country.
- Mental health support: Access Plumm https://oysterhr.notion.site/Plumm-3b5e7e70dec6428e975f68f25972cfb7, our mental well-being service.
- Wellbeing allowance: Each month, receive a wellbeing allowance in your ThanksBen wallet to spend on a wide range of options.
- Flexible parental leave: All new parents are eligible for at least three months’ paid leave, with job protection for up to 12 months or as required locally.
- WFH stipend: Receive a stipend for your laptop and home office equipment to get you set up quickly.
✨ THE BEST JOBS SHOULD BE AVAILABLE TO EVERYONE
We embrace diverse perspectives and intentionally build our product and company with an inclusive, global mindset. We encourage you to apply, even if you don’t meet every criterion, and are committed to a trust-based, thriving environment.
Oyster is committed to ensuring equal opportunity of employment for qualified persons with disabilities and actively fosters an inclusive work environment. If you require reasonable accommodations throughout the recruiting process, please email jobs@oysterhr.com with the subject line: Interview Accommodations.
Our available positions are on our careers page. Our team will only contact you from an @oysterhr.com email, and we will never ask for money as part of an interview process or job offer. If you receive a suspicious email about Oyster jobs or are directed to a site other than www.oysterhr.com/careers http://www.oysterhr.com/careers, please report it via our Compliance and Ethics Helpline https://faceup.com/c/8tpzyyye.
Location: United States; New York; San Francisco
Workplace: Remote
ABOUT ELEVENLABS
ElevenLabs is an AI research and product company transforming how we interact with technology.
We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
HOW WE WORK
- High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
- Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.
- AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
WHAT WE OFFER
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.
- Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.
- Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.
ABOUT THE ROLE
We are seeking an experienced Commercial Counsel to join our US commercial team. In this role, you will support complex commercial transactions across North America, including SaaS, licensing, and strategic partnerships, while helping the company navigate diverse legal and regulatory frameworks in the rapidly evolving field of artificial intelligence. You will work closely with global colleagues to provide practical, business-oriented advice that enables growth while managing risk across multiple jurisdictions.
RESPONSIBILITIES
- Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in North America, including enterprise customer contracts
- Partner with sales, business development, and operations teams to design and implement strategies that support high-growth go-to-market initiatives.
- Monitor and interpret evolving legal and regulatory developments, including data protection, technology, and AI-related frameworks, and apply this knowledge to contract drafting and risk assessment.
- Develop, maintain, and localize contract templates, playbooks, and policies to reflect regional requirements and industry best practices.
- Provide clear, pragmatic, and commercially focused legal advice to cross-functional teams, tailoring advice to enable responsible growth and innovation.
- Contribute to scaling the Legal Team’s commercial function, fostering a collaborative, solutions-oriented team culture.
WHO YOU ARE
- Curious about the future of AI and emerging technologies, have a strong sense of ownership with enthusiasm for applying your legal expertise to cutting-edge products.
- Experienced in navigating fast-paced, high-growth environments, with the ability to manage ambiguity and make informed, timely decisions.
- Comfortable working independently while collaborating effectively with cross-functional and global colleagues.
- Proactive, business-minded, and committed to delivering practical solutions that support both compliance and commercial success.
WHAT YOU BRING
- J.D. and active membership in at least one U.S. State Bar (NY or CA preferred)
- 6+ years of relevant post-qualification legal experience (in-house experience in technology or SaaS strongly preferred).
- Proven track record drafting and negotiating complex commercial and technology agreements.
- Strong knowledge of enterprise software licensing, SaaS, data protection, and intellectual property.
- Experience advising on privacy, cybersecurity, and cross-border data transfer issues.
- Excellent communication, stakeholder management, and problem-solving skills.
- Comfort in fast-paced environments with shifting priorities and tight deadlines
- Prior experience with heavily regulated industries is a plus
LOCATION
This role is remote and can be executed in the United States, with a preference for New York or San Francisco.
We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Location: Remote, France
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems.
Co-create the future with us
as we build technology that transforms how the world develops software.
*
Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Strategic Account Executive, you'll own a portfolio of strategic and large customers and prospects in France, helping them get the most value from GitLab's AI-powered platform for software development, security, and operations (DevSecOps). You'll win new enterprise accounts and expand GitLab's footprint within existing customers, using a consultative approach to understand their business needs and guide successful adoption and expansion. You'll work closely with pre- and post-sales teams and strategic channel partners throughout the sales cycle, from prospecting and qualification through rollout, usage, and long-term growth.
What you'll do
Own a portfolio of strategic and enterprise accounts, driving both new customer acquisition and expansion within existing customers.
Lead complex sales cycles from prospecting and qualification through negotiation and close, using a consultative approach grounded in customer business needs.
Develop and execute structured account plans that map customer priorities to GitLab's DevSecOps and AI-powered platform capabilities.
Collaborate closely with pre-sales, customer success, support, and strategic channel partners to ensure successful evaluations, rollouts, and long-term adoption of GitLab.
Generate and nurture qualified pipeline through targeted outreach, joint activities with channel partners, and effective use of existing relationships.
Prepare and maintain accurate activity, pipeline, and forecast reports, and contribute to win/loss analysis to improve sales execution.
Partner with Marketing to shape and execute account-based and regional campaigns that support pipeline generation and expansion in your territory.
What you'll bring
Experience owning and growing large, complex accounts within strategic or enterprise organizations, including both new business development and expansion within existing customers.
Ability to run a consultative sales process, from prospecting and discovery through proposal, negotiation, and closing.
Skill in account planning, forecast management, and coordinating cross-functional resources across pre-sales, post-sales, and support.
Ability to translate customer needs into clear feedback for product, marketing, and technical teams.
Ability to discuss business value with senior stakeholders and align solutions to customer goals and challenges.
Familiarity with Git, software development tools, or application lifecycle management, and the ability to learn GitLab's platform.
Experience within software, developer tools, or related technology environments is helpful but not required.
We welcome transferable experience from different industries or backgrounds.
About the team
You'll join a regional Strategic Sales team that focuses on our largest and most complex customers in Europe. We own a defined list of strategic prospect and existing accounts and collaborate closely with Solutions Architects, Customer Success, Support, and Channel partners to drive both new customer acquisition and expansion of GitLab's footprint. Our Strategic Sales team spends a lot of time collaborating and meeting with customers, so travel will be expected. We're focused on helping enterprise customers adopt the GitLab DevSecOps platform at scale, navigating complex buying groups, and shaping long-term partnerships that support customers' business and technology goals.
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from
underrepresented groups
are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines:
GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy:
Please review our
Recruitment Privacy Policy.
Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also
GitLab’s EEO Policy
and
EEO is the Law
. If you have a disability or special need that requires
accommodation
, please let us know during the
recruiting process
.
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✅Создание рекламных видеокреативов для Sweepstakes. ✅Создание и обработка AI-generated video с использованием Midjourney, Runway, Pika, Kling, Sora и аналогичных инструментов.
Задачи:
— Установление новых отношений для Beamery через целевые продажи по аккаунтам и взаимодействие с ключевыми старшими лицами, принимающими решения в ведущих компаниях
— Проведение глубоких переговоров с лицами, принимающими решения, по вопросам стратегии трансформации труда и талантов
— Инициирование, ведение переговоров и заключение сделок с крупными корпоративными и средними клиентами
— Тесное сотрудничество с командами Demand Generation, Solutions Consulting, Services, Success и старшим руководством для создания индивидуальных предложений и планов успеха для клиентов
— Представление интересов крупнейших клиентов и регулярное предоставление обратной связи командам продукта, успеха и маркетинга
Требования:
— Обширный опыт продаж SaaS/B2B Enterprise программного обеспечения и решений для данных и/или развития нового бизнеса
— Хорошее понимание влияния ИИ на рабочие процессы, использование ИИ-инструментов для профилирования аккаунтов, картирования возможностей и организаций, а также создания индивидуальных сообщений ценности
— Опыт продаж инновационного программного обеспечения для работы и знание рынка корпоративных HR-технологий (например, ATS, HCM, CRM)
— Опыт работы с партнерами, такими как поставщики корпоративных систем (Beamery интегрируется с SAP и Workday), системные интеграторы, консультанты по трансформациям и облачные провайдеры
— Умение ориентироваться в сложных организационных структурах, длительных циклах продаж и работе с несколькими лицами, принимающими решения
— Успешный опыт привлечения новых клиентов с контрактами на сумму от $500 тыс. до $3 млн (TCV)
— Уверенность, инициативность и способность работать в условиях неопределенности с высокой автономией
— Отличные коммуникативные навыки и умение рассказывать истории
— Лидерские качества и готовность брать на себя ответственность
— Способность вести несколько переговоров одновременно на разных этапах и обеспечивать ценность для клиента
— Желание обучать и развивать младших сотрудников
Условия:
— Удаленная работа из США (штаты: Мэриленд, Нью-Джерси, Северная Каролина, Огайо, Пенсильвания, Вирджиния, а также район Остина, Техас)
— Медицинская, стоматологическая и офтальмологическая страховка (включая HSA/FSA и EAP)
— Пенсионный план 401(k) с соответствием взносов
— Оплачиваемый отпуск по уходу за ребенком для сотрудников США после года работы
— Возможность заработка комиссионных по результатам работы
— Оплачиваемый отпуск, страхование жизни, LTD/STD
— Оценочный диапазон зарплаты от $110,000 до $145,000 в год, фактическая зарплата зависит от навыков и опыта
Компания поддерживает разнообразие и инклюзивность, создает условия для всех независимо от этнической принадлежности, религии, цвета кожи, сексуальной ориентации, гендерной идентичности, возраста, инвалидности и других факторов. При необходимости возможны разумные корректировки в процессе найма.
Location: London
Workplace: OnSite
ABOUT US
Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia.
We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do.
Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace.
WHAT YOU'LL DO
- Prospecting & lead generation: Identify and target potential customers through research, networking, and cold calling. Build new relationships with our enterprise customers and prospects to drive revenue, pipeline, and deployment capacity.
- Manage relationships: Build and maintain strong relationships with key decision-makers and stakeholders with our largest customers. Serve as their primary point of contact and exceed their expectations.
- Negotiating & closing complex deal cycles: Lead negotiations with existing and prospective customers, addressing objections and closing deals. Navigate contracts and agreements quickly and effectively, working closely with legal and finance stakeholders.
- Sales strategy & planning: Develop and execute sales strategies to meet or exceed sales targets. Craft tailored sales presentations and proposals that meet our enterprise customers needs. Collaborate with our marketing team to implement effective sales campaigns and presentations.
- Help define our sales motion: We’re an early team, and your work will directly impact how our GTM function operates and succeeds.
- Collaborate cross-functionally: Work closely with our broader GTM team, as well as our product, technical and operations orgs to deliver our industry-leading product.
WHAT YOU'LL BRING
- 10+ years of experience in an enterprise customer-facing sales role, identifying and closing large accounts.
- Strong communication skills: Exceptional verbal and written communication abilities in English, with fluency in Swedish, Norwegian, or Danish.
- Enterprise experience: Experience managing a $1M+ quota, and running end-to-end complex deals.
- Analytical mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions.
- Prospecting & lead generation: Proven track record of identifying and targeting potential enterprise clients through research, networking, and cold calling.
EVEN BETTER...
- Industry knowledge: Familiarity with the AI landscape, key players, and emerging trends.
- Experience building GTM strategies: Building sales teams and sales motions from scratch, or from early stage growth.
OUR VALUES
- Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work.
- Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it.
- Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve.
- Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time.
- Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements.
WHAT WE OFFER
We want our benefits to reflect our values and offer the following to full-time employees:
- Flexible (unlimited) paid time off
- Medical, dental, and vision benefits for you and your family
- Life insurance and disability benefits
- Retirement plan dependent on country of employment
- Parental leave
- Fertility and family building benefits through Carrot
- Lunch, as well as delicious snacks and coffee to keep you energized
- Discretionary benefit stipend giving people the ability to spend where it matters most
- Free alphorn lessons
These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies.
BE YOU, WITH US
We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
Location: Canada
What The Role Is
We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless.
Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting.
We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help.
If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on.
What You'll Own
You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape:
Product recommendations across every surface.
Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them.
Personalizing the Feed.
Deciding which products, editorial content and social content each family sees, and in what order.
Personalizing search.
Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations.
Making Addie (our AI registry assistant) better at recs.
Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site.
In practice, you will:
Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric.
Make the modeling and architecture calls that span surfaces and are expensive to reverse.
Design the evaluation, offline and online, that tells us a model is good before and after it ships.
Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches.
Partner with product, design and data to help shape what's worth building.
Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org.
Who You Are
You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey.
You bring:
Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias.
Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend.
An ability to take an ambiguous problem and start moving before anyone hands you the full picture.
A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings.
An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue.
AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next.
Compensation
We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is 299,300 to 372,600 CAD plus a target annual bonus of 20 percent of base. That's total target cash of roughly 359,160 to 447,120 CAD. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Location: United States
What The Role Is
We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless.
Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting.
We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next.
Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help.
If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on.
What You'll Own
You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape:
Product recommendations across every surface.
Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them.
Personalizing the Feed.
Deciding which products, editorial content and social content each family sees, and in what order.
Personalizing search.
Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations.
Making Addie (our AI registry assistant) better at recs.
Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site.
In practice, you will:
Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric.
Make the modeling and architecture calls that span surfaces and are expensive to reverse.
Design the evaluation, offline and online, that tells us a model is good before and after it ships.
Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches.
Partner with product, design and data to help shape what's worth building.
Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org.
Who You Are
You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey.
You bring:
Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias.
Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend.
An ability to take an ambiguous problem and start moving before anyone hands you the full picture.
A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings.
An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue.
AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next.
Compensation
We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope.
How We Build
AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome.
The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers.
The Stack
Core app:
Rails, Packwerk, React, TypeScript, Sidekiq
Mobile:
iOS (Swift), Android (Kotlin)
Data, search & events:
MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma
Machine learning:
deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow
AI & dev tooling:
Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim
Infra & ops:
AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly
Key integrations:
Shopify (payments), Iterable (CRM)
Why Babylist
An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done.
Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide.
How We Work
Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis.
How We Hire
Three rounds, usually two to three weeks start to finish.
Recruiter conversation (30 minutes).
Trade context: what you want next, what we're building and straight answers on comp, team and remote.
Technical screen (1 hour).
One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles.
Final round (4 hours).
Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours.
If your timeline is tight, tell us and we'll move faster.
Benefits
Company-paid medical and fully covered dental and vision
A 401(k) match
Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program
Winter Wonder Week, a paid company-wide week off at the end of the year
A remote-work stipend
Mental-health and wellness support
A Few Things To Know
We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws.
We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking.
If you have a family member or close relationship with a Babylist employee, let your recruiter know.
Official outreach only ever comes from an @babylist.com address
Location: Berlin
adjoe builds the technologies behind mobile app growth and monetization, challenging the status quo of adtech by redefining how apps acquire users and generate revenue. Our two products, Playtime Arcade and adjoe Ads, sit at opposite ends of the mobile advertising spectrum: rewarded engagement and programmatic in-app advertising. Together they run on 13% of the world’s smartphones, connecting advertisers, publishers, and hundreds of millions of users, with one goal: making mobile advertising work better for everyone in the ecosystem.
Next-Gen Machine Intelligence for Auctions & Real-Time Bidding
The Data Science Research team builds the foundational algorithms that govern real-time bidding, budget pacing, and allocation mechanics across our products. Operating as a horizontal deep-tech layer, the team leverages advanced AI—specifically reinforcement learning, objective-based optimization, and control theory—to deliver critical systems that perfectly harmonize advertiser ROI, platform health, and user relevance. These frameworks scale adjoe’s products beyond standard industry limitations, utilizing behavioral and transactional data from over 770 million users.
The team operates at the intersection of high-load, low-latency engineering, auction mechanism design, and state-of-the-art machine learning. Acting as the company’s internal science bar raiser, they translate complex business constraints into mathematical objectives. The stack is optimized for high throughput: PyTorch for training deep learning and RL models, distributed architectures for large-scale Bayesian inference, Trino and Athena for querying massive user-behavior data lakes, and dedicated GPU infrastructure. The full lifecycle of these AI capabilities is owned by the team—from academic paper translation and offline prototyping to deploying core algorithmic frameworks built to sustain ultra-low latency, real-time production environments evaluating tens of thousands of requests per second.
Your Mission & Who We Are Looking For:
- PhD or equivalent research depth, with a production track record. You have a PhD in CS, Statistics, Math, or Physics (or an MSc with extensive industry research) and a track record of peer-reviewed publications in fields like Computational Advertising, Auction Theory, Mechanism Design, or Game Theory. You’ve spent 4+ years optimizing complex systems through automated algorithms in AdTech, marketplaces, or high-frequency trading.
- You translate research into production, not just prototypes. You distill SOTA research into robust, production-ready code optimized for sub-millisecond latency. At adjoe, that means architecting sophisticated auction mechanics, real-time bidding engines, and allocation algorithms serving millions of requests across a stack built on 770 million users.
- Deep expertise in Reinforcement Learning and Optimization. You have hands-on, deep theoretical and technical expertise in objective-based optimization, control theory, or RL applied specifically to bidding, pricing strategy, and budget pacing under extreme production constraints.
- Mastering high-dimensional data at scale. Large-scale Bayesian inference and handling sparse, high-dimensional advertising data are core to your work. You are strongly proficient in Python and related stacks, and know exactly how to architect scalable data pipelines to feed real-time optimization models.
- Raises the technical bar around them. You lead architectural debates, collaborate tightly with Product Managers and Engineers to map business goals to mathematical objective functions, mentor junior scientists, and drive the team’s research direction without needing a roadmap handed to you.
🌎 WE WELCOME APPLICATIONS FROM TALENT WORLDWIDE AND PROVIDE RELOCATION SUPPORT TO HAMBURG, GERMANY FOR THOSE READY TO JOIN OUR TEAM.
What’s in It for You?
At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day.
- Go Big. Own projects with impact on 770M users and push adtech boundaries.
- Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum.
- Be Direct. Solve problems openly and collaborate across teams.
- Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other.
- Have Fun. Celebrate wins, enjoy daily victories, and bring your energy.
We welcome applications from people who will contribute to the diversity of our company.
УдалённоseniorRemote, United States; The base salary range for this role’s listed level is currently for residents of the United States only
seniorWe believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief
УдалённоseniorEMEA; Toronto; Ireland; Portugal; United Kingdom; Spain
География найма не уточнена
УдалённоUnited States; New York; San Francisco
УдалённоRemote, France
УдалённоmiddleUSA
ОфисLondon
Canada
United States
seniorBerlin; 🌎 WE WELCOME APPLICATIONS FROM TALENT WORLDWIDE AND PROVIDE RELOCATION SUPPORT TO HAMBURG, GERMANY FOR THOSE READY TO JOIN OUR TEAM