Location: Madrid
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
- GTM technical expert: Design and demo Sierra’s incredible Agent product, offering technical solutions to solve for our customer’s needs, and answering technical questions about our solutions.
- Cross-functional work: You will work directly with our Sales, Product and Agent Engineering teams to both drive our GTM function, as well as continuously improve our Agents through our customer-driven product development philosophy.
- Lead & support our customers: As a GTM and technical leader in the earliest conversations with our future customers, you will both understand and anticipate their needs to continue our industry-leading AI solution.
WHAT YOU'LL BRING
- 5-7+ years experience in Sales Engineering, Solutions Engineering or customer-facing technical sales.
- Exceptional verbal and written communication abilities. Professional fluency in both Spanish and English.
- Past experience in demo building, and presenting, and working with customers or clients in the GTM function.
- Experience in relationship-building with potential customers, including executives and technical leaders.
- Experience in leading the sales process with Enterprise customers.
- Ability to connect a prospect’s specific business problems and Sierra’s solutions and explain them to both a technical and non-technical audience
- Bachelor's Degree or above; bonus if in Computer Science or related field, or equivalent professional experience.
EVEN BETTER...
- AI-related experience (or experience in a similarly modern and highly technical industry).
- Experience translating code, technical logic and user requirements to product and engineering requirements.
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: Amsterdam, Netherlands
(Hybrid, full time)
We are looking for a Quality Assurance (QA) Lead who makes quality visible to everyone who needs it - producers, developers, management and our platform partners. You will lead a highly skilled international QA team in a partly remote environment. As a lead you stay close enough to the work to make the hard calls yourself, and help shape what testing looks like in an AI-assisted world.
About CoolGames
At CoolGames, we’re proud to be a leading international HTML5 game studio, working with some of the world’s biggest ‘Big Tech’ game platforms, such as Netflix, Discord, Facebook and Microsoft Play. We also work with famous games IP such as Battleship, Angry Birds and Monopoly.
CoolGames is part of Keesing, the world’s largest Braintainment company. Keesing is a financially strong publisher of engaging sudokus, crosswords and many other puzzles & games with a presence in over 20 countries headquartered in The Netherlands.
With the CoolGames HQ in Amsterdam, supported by our global remote teams, we offer market-competitive salaries, the chance to contribute to successful casual games that are played by millions and work directly with some of the biggest brands in the world. We believe in creativity, collaboration and delivering world-class gaming experiences, while giving you the choice to either join our Amsterdam studio or become part of our remote teams.
If you want to grow your career in a profitable, internationally recognized company, work closely with world-famous partners and be part of a highly professional international team. CoolGames is the right place for you.
About the role
Our QA team is highly skilled, with real depth in test design, methodology and the theory behind them. We are rethinking how we test now that AI is part of the daily picture, and we want a lead who is curious about that shift.
You are the interface between QA and the rest of the company. The person who makes sure quality is understood, not just measured. That means staying hands-on, though not by taking over the routine work. You step in where your experience changes the outcome, a release under pressure, a problem nobody can pin down, an experimental approach worth trying, test cases that need a second pair of eyes. That is where we want you.
You will work closely with our QA Lead Specialist, who brings deep expertise in testing practices and techniques. You will each have your own lead role, bringing complementary expertise and perspectives to the team. Line management and reporting are split between you, and you cover each other’s blind spots. That is also what gives the team headroom: you can both stay close to the work instead of disappearing into management, we can scale with what the projects demand, and there is room to grow.
Your responsibilities will include:
Bridging QA, production, development and management. You turn test results into risk, status and clear go/no-go advice;
Being the voice of QA inside and out. Making sure other disciplines understand what we do and why, and holding our standards in front of external partners and platform holders;
Line management of the team - 1-on-1s, growth, workload and hiring;
Weighing quality risk against business objectives: backing a calculated risk when it is the right trade-off, putting your foot down when it is not;
Planning QA capacity across parallel projects and releases, and raising the flag early when quality is at risk;
Owning quality reporting: release readiness, coverage, bug trends and what they mean for the roadmap;
Challenging the team and finding the opportunities they are too close to the work to see;
Helping the team find where AI genuinely accelerates testing, and where it does not, without giving up the fundamentals that make our QA strong.
Requirements
About you
You are comfortable being the person who says out loud where a product actually stands. In the language of whoever is asking: producer, developer, partner or director. You think in trade-offs rather than absolutes, and you hold the line when it matters. You have led people before and you like it, but you would be unhappy in a role that kept you away from the work itself.
Excellent written and verbal communication in English. You can turn a messy test result into a clear decision for a non-technical audience;
At least 7 years in software testing, including leading or coordinating a QA team (gamedev is a strong plus);
Solid grounding in SDLC and STLC, test design techniques and testing types and levels.
Experience planning QA across parallel projects and platforms (mobile, desktop, web, social) in an Agile setting;
Experience with Jira and TestRail or similar software, including reporting out of them;
A pragmatic, evidence-based view on AI in testing. you can tell a real productivity gain from a demo;
Will be a strong plus:
Certification like ISTQB;
Test automation experience - writing, reviewing and debugging end-to-end tests, ideally with Playwright/Cypress/WebdriverIO and JavaScript/TypeScript;
Experience with version control and CI integration (Jenkins/GitHub/GitLab);
Experience working directly with external partners or platform holders;
Experience introducing AI-assisted workflows in a QA team.
Benefits
What we can offer you (for studio HQ roles):
An international team of 50+ professionals from almost 20 different countries;
Work closely with some of the biggest (upcoming) game platforms in the world (netflix, facebook, microsoft, samsung, discord and more) on high-quality casual games that are played by millions of gamers;
Competitive remuneration, including health care insurance, travel costs compensation, a company pension plan and a sport allowance;
Market salary;
A flexible remote working environment for parts of the week;
A very open, informal and international company culture where everyone can make a difference
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI.
The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks.
We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments.
Responsibilities
Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers.
Ability to write safety evals and communicate externally about safety.
Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state.
Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders.
Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries.
Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning.
Minimum Qualifications
You may be a good fit if you have:
Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems.
Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions.
Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space.
Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs
Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute.
Evidence of exercising judgment and decision making in ambiguous situations.
Planning, building, launching and measuring new products / systems in a zero to one environment.
Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication.
Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks.
Preferred Qualifications
5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$385,000
—
$460,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: United States
Workplace: Remote
At ClickUp, we're building the future of work: the first truly converged AI workspace unifying tasks, docs, chat, calendar, and enterprise search, all supercharged by context-driven AI. We are an AI-native company. Every team member is expected to leverage AI daily, and we evaluate AI fluency as part of our hiring process. Join us and help redefine what's possible. 🚀
ROLE OVERVIEW
As the Engineering Manager - Developer Productivity, you will lead a high-impact team focused on improving developer workflows, reducing friction, and enhancing the overall engineering experience. You’ll collaborate across teams to identify bottlenecks, implement scalable solutions, and foster a culture of continuous improvement. Your work will directly influence the speed, quality, and happiness of our engineering organization.
RESPONSIBILITIES:
1. Infrastructure & Tooling
- Oversee the development and maintenance of CI/CD pipelines, build systems, and internal tools, including AI-powered internal tooling and agents.
- Ensure our developer infrastructure is scalable, reliable, and secure.
- Evaluate and implement new AI-native technologies, considering token economics, compute costs, and AI spend alongside productivity gains.
2. Team Leadership & AI People Development
- Build, mentor, and lead a team of engineers focused on developer productivity.
- Foster a culture of collaboration, innovation, and accountability.
- Set clear goals and provide regular feedback to drive team performance in partnership with your Director.
- Assess each report's AI fluency level (Assisted, Augmented, Native) and set individual growth targets.
- Include AI fluency as a coaching topic in 1:1s; pair less AI-fluent engineers with AI-native peers for knowledge transfer.
- Create space for AI experimentation: dedicated time, safe-to-fail projects, and learning sprints.
- Recognize and reward AI-driven improvements in performance conversations.
3. Collaboration & Communication
- Work closely with engineering, product, and design teams to align priorities.
- Advocate for developer needs and ensure alignment with company goals.
- Communicate capabilities and limitations to non-technical stakeholders.
- Write specs, rules files, and documentation that make AI more effective for the whole team.
4. Metrics & Continuous Improvement
- Define and track key metrics to measure developer productivity, satisfaction, and AI-driven productivity gains.
- Use data-driven insights to prioritize initiatives and demonstrate impact.
- Track team-level AI adoption metrics and report on AI-augmented workflow effectiveness.
- Continuously iterate on processes to improve engineering velocity and quality.
5. AI-Native Developer Experience
- Identify and eliminate pain points in the development lifecycle, with a focus on AI-augmented workflows.
- Drive adoption of AI coding tools (Cursor, Brain, copilots) as the default across engineering teams.
- Ensure every team member has access to and is actively using AI tools; track adoption and remove blockers (tooling, access, training).
- Partner with engineering teams to design AI-augmented development workflows that multiply team velocity.
- Coach engineers on the Builder model: planning, delegating to agents, reviewing with judgment, and shipping with velocity.
6. AI Governance & Risk
- Ensure the team follows AI usage guidelines (data handling, code review, IP considerations).
- Flag risks from AI-generated code (security, correctness, licensing) proactively.
- Maintain visibility into what AI tools the team is using and how they're being used.
- Run regular retros and feedback loops on AI-related outcomes.
- Review AI-generated outputs alongside the team to build shared quality standards.
QUALIFICATIONS:
- Experience: 7+ years in software engineering, with 3+ years in a leadership role managing engineering teams.
- Technical Expertise: Strong understanding of developer tools, CI/CD pipelines, and modern software development practices. Hands-on experience with AI coding tools (Cursor, Claude Code, Codex, or similar) and an understanding of how to integrate them into engineering workflows.
- AI Fluency: Demonstrated ability to operate at the AI Augmented level or above: you personally use AI tools daily and have coached others on effective AI-assisted development. Familiar with prompt engineering, context engineering, and token economics.
- Builder Mindset: Comfortable with the 80/20 model (planning and review vs. direct execution). Experience orchestrating work across humans and AI agents, with strong judgment on when to delegate to AI vs. when human decision-making is critical.
- Leadership Skills: Proven ability to build and lead high-performing teams. Experience assessing and developing AI fluency across a team.
- Problem-Solving: Track record of identifying inefficiencies and implementing scalable solutions, including building or adopting AI-powered tooling and eval frameworks.
- Governance Awareness: Understanding of AI & non-AI related risks (security, correctness, licensing, data handling) and experience establishing quality standards for outputs.
- Collaboration: Exceptional communication and stakeholder management skills. Ability to translate AI capabilities and limitations to non-technical audiences.
- Mindset: Passion for improving developer experiences and driving organizational impact through AI-native practices with a customer first mentality.
WHY JOIN US?
- Impactful Work: Shape the future of developer productivity at a fast-growing, AI-native SaaS company.
- AI-Native Culture: Work in an organization that treats AI as a core competency, not a nice-to-have, with industry-leading investment in AI tooling, agents, and engineering workflows.
- Builder Operating Model: Join a team that's redefining how software gets built: orchestrating AI agents, shipping with compound engineering, and measuring what matters.
- Growth Opportunities: Advance your career on a clear AI-native career pathway with structured fluency levels and development support.
- Flexible Environment: Enjoy the freedom of remote work with a global team.
Equal Opportunity Employer
ClickUp is an Equal Opportunity Employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.
Privacy Notice
ClickUp collects and processes personal data in accordance with applicable data protection laws. You can find further details by viewing our Global Candidate Privacy Notice. https://clickup.com/careers-terms/candidate-privacy-notice
If you are a Philippine Job Applicant, please also see our Philippine Data Privacy Notice https://t333.s.clickup-attachments-stg.com/t333/d9a53ce2-6d2c-48cd-84b1-ed4e525f9613/Philippine%20Data%20Privacy%20Notice_2024.pdf?view=open for further details.
Visa Sponsorship
Please note we are unable to sponsor or take over sponsorship of an employment visa for roles outside of engineering and product at this time. Sponsorship for engineering and product roles is not guaranteed, but is instead based on the business needs for that specific role at that time. Please reach out to the recruiter with any questions.
Fraud Alert
ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com. We will never request fees, payments, or sensitive personal information. Please disregard any offers received outside these channels and report them to support@clickup.com.
AI Processing Notice
ClickUp may use artificial intelligence and machine learning technologies to help review and screen candidates' employment applications against role-related criteria. These tools support, but do not replace, human decision‑making. If you have questions or need an accommodation in the recruitment process, please contact us at AskPeople@ClickUp.com.
Location: Vancouver, British Columbia, Canada
Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive.
Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue.
Grow With Us
We are a team from UC Berkeley, Cornell, SJTU, Cambridge, NUS, with broad industry experiences from Tencent, Alibaba, Amazon, ByteDance, and more. Our engineering team is composed of passionate, driven, and talented engineers who focus on building and innovating cloud technology solutions that empower local businesses to thrive and better serve the deskless workforce in their communities. We are seeking a talented Software Engineer (Full Stack) to join our growing engineering team.
This is a full-time, hybrid position with 2 days a week, every Tuesday and Thursday in-office to support close cross-functional collaboration.
Day In The Life
You are a seasoned Full Stack Engineer with a strong background in full-stack application development.
Work closely with Product Managers, Engineering Managers, and peer engineers to deliver well-scoped product features.
Communicate effectively with technical and non-technical stakeholders across Engineering, Product, GTM, and Customer Success teams.
You advocate for and practice test-driven development (TDD) to ensure the delivery of high-quality, reliable software.
Your technical skills are complemented by your ability to communicate effectively in English, both verbally and in writing.
Who You Are
8 to 12+ years of professional software engineering experience.
Proficiency in at least one or more of the following languages:
Python, Java, PHP, or JavaScript, with experience developing full-stack, high-performance, and high-availability applications.
Strong foundation in programming principles and design patterns.
Experience with building scalable systems and test driven CI/CD commitment to quality software development.
Experience with SQL and NoSQL databases, such as PostgreSQL or MongoDB, have comprehensive understanding of the decision-making process between SQL and NoSQL databases.
Knowledge of caching mechanisms such as Redis or Memcached.
Familiarity with cloud platforms such as AWS
Demonstrated experience in designing distributed systems with a holistic perspective.
Keep up with the latest technological trends and continuously improve productivity.
Nice To Have
Experience with NextJS or other front end technologies
What We Offer
A mission-driven and value-based company dedicated to empower deskless workers and local businesses
An early employee opportunity at a Series B hyper-growth startup; work with the founding team and industry veterans to accelerate your career
Competitive salary and equity
Comprehensive health coverage: medical, dental, and vision
WeWork Office - Amenities and Perks
Flexible PTO
Hybrid Office/WFH schedule
Know More About Workstream
https://www.workstream.us/blog/funding-series-b
https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/
https://techbuzz.news/buzzworthy-august-27-2021/
Additional Information
Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
We are committed to the full inclusion of all qualified individuals.
Location: Lehi
Workstream is a mission-driven company building the all-in-one HR, payroll, and hiring platform for managing the hourly workforce. There are 2.7 billion hourly workers, making up 80% of the global workforce, but this market has been heavily underserved by technology and deserves better. Workstream has been purpose-built for the hourly workforce from day one so that these businesses and their employees can thrive.
Our customers include leading brands from multiple sectors, including Burger King, Carl's Jr./Hardee's, IHOP, KFC, and Culvers. We are a high growth series B company and quickly expanding our product portfolio to deliver on our vision. We are backed by legendary VCs and industry experts like Founders Fund, BOND, and Coatue.
Grow With Us
We are a team from UC Berkeley, Cornell, SJTU, Cambridge, NUS, with broad industry experiences from Tencent, Alibaba, Amazon, ByteDance, and more. Our engineering team is composed of passionate, driven, and talented engineers who focus on building and innovating cloud technology solutions that empower local businesses to thrive and better serve the deskless workforce in their communities. We are seeking a talented Full Stack Engineer to join our growing engineering team.
This is a full-time, hybrid position with 1 to 2 days a week in-office to support close cross-functional collaboration.
Day In The Life
You are a seasoned Software Engineer with a strong background in full-stack application development.
Work closely with Product Managers, Engineering Managers, and peer engineers to deliver well-scoped product features.
Communicate effectively with technical and non-technical stakeholders across Engineering, Product, GTM, and Customer Success teams.
You advocate for and practice test-driven development (TDD) to ensure the delivery of high-quality, reliable software.
Your technical skills are complemented by your ability to communicate effectively in English, both verbally and in writing.
Who You Are
8 to 12+ years of professional software engineering experience.
Proficiency in at least one or more of the following languages:
Ruby on Rails,
Python, Java, PHP, or JavaScript, with experience developing full-stack, high-performance, and high-availability applications.
Strong foundation in programming principles and design patterns.
Experience building scalable systems and test-driven CI/CD with a commitment to quality software development.
Experience with SQL and NoSQL databases, such as PostgreSQL or MongoDB, have comprehensive understanding of the decision-making process between SQL and NoSQL databases
Familiarity with cloud platforms such as AWS
Demonstrated experience in designing distributed systems with a holistic perspective.
Keep up with the latest technological trends and continuously improve productivity.
Nice To Have
Experience with NextJS or other front end technologies
What We Offer
A mission-driven and value-based company dedicated to empower deskless workers and local businesses
An early employee opportunity at a Series B hyper-growth startup; work with the founding team and industry veterans to accelerate your career
Competitive salary and equity
Comprehensive health coverage: Medical, dental, and vision plans, with 100% employer-paid employee-only coverage available on select plans. Dependent coverage options vary by health plan.
In office amenities and stocked kitchen
401K Plan
Flexible PTO
Salary Range
In compliance with the California Pay Transparency Law, the base salary range for this role is between $160,000 to $180,000 in Lehi, Utah. When determining a candidate’s compensation, we consider a number of factors including skillset, experience, job scope, and current market data.
Know More About Workstream
https://www.workstream.us/blog/funding-series-b
https://techcrunch.com/2021/08/26/workstreams-text-based-recruitment-tool-gets-a-48m-bet-from-bond-and-beyond/
https://techbuzz.news/buzzworthy-august-27-2021/
Additional Information
Workstream provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
We are committed to the full inclusion of all qualified individuals.
Location: San Francisco, CA
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
We are looking for a Director, IT SOX to join the Internal Audit team at Anthropic. In this role, you will be a hands-on technical contributor and key executor of our IT SOX compliance program, with deep focus on our IT General Controls, IT Application Controls, and system risk assessments.
This role reports to the Head of IT SOX and is well-suited for someone who is comfortable with ambiguity, thrives in a high-pace environment, and enjoys solving problems that don't yet have industry-standard answers. This is a high-impact opportunity to collaborate with first and second lines of defense to help establish a control environment suitable for an AI-first company! You will act as a trusted advisor to Engineering, GRC, Security and Finance teams on the technology controls adapted to a fast growing and rapidly changing organization.
You'll bring technical depth, a bias toward automation, and the ability to partner effectively with both technical teams and external auditors as the organization experiences scaling to public-company standards.
Key responsibilities
Advise on the design of a control environment fit for an AI-first company, including controls over highly automated DevOps pipelines and emerging agentic identity models
Partner with Engineering, Security, IT, and DevOps teams to assess the design and implementation of scalable and sustainable controls
Assess new system implementations and changes
Identify automation and tooling opportunities to improve control efficiency and monitoring, and contribute to the development of continuous monitoring capabilities
Assist in scoping and planning for annual SOX IT assessments
Execute IT SOX testing across IT General Controls and IT Application Controls, including access management, change management, and computer operations
Perform system and process risk assessments to identify control gaps and recommend remediation
Own control documentation and ensure audit-ready evidence is current and complete
Evaluate IT automated controls and support the shift from manual to automated control reliance
Scale the IT SOX program as the company grows — rationalizing scope, standardizing testing approaches, and building repeatable processes that keep pace with new systems and entities
Guide and direct the day-to-day work of internal team members and co-sourced partners: setting priorities, reviewing workpapers, and ensuring quality and consistency across the testing program
Build strong working relationships with process and control owners across the organization
Translate technical control requirements for non-technical stakeholders and vice versa
Support SEC cybersecurity disclosure requirements and related risk monitoring efforts
Coordinate with external auditors on IT SOX matters, including evidence requests, walkthroughs, and testing schedules
Track and assist with remediation of audit findings; communicate status to the Head of IT SOX and relevant stakeholders
Minimum qualifications
Hands-on IT audit or IT SOX compliance experience, ideally in a fast-paced technology environment
Deep working knowledge of ITGCs, ITACs, and IT risk assessment methodologies
Experience auditing highly automated DevOps environments (CI/CD pipelines, infrastructure-as-code, automated deployments) and adapting traditional change-management and access controls to them
Experience designing, testing, and documenting controls across access management, change management, and computer operations
Demonstrated comfort with ambiguity and the ability to operate effectively in a high-pace, rapidly changing environment
Ability to effectively guide and direct the work of internal team members and/or co-sourced partners
Ability to work independently on complex, ambiguous workstreams while communicating proactively with senior stakeholders
Strong project management and organizational skills with close attention to detail
Clear, effective communicator — able to work across technical and non-technical audiences
Preferred qualifications
12+ years of hands-on IT audit and SOX compliance experience, including time in a Big 4 or comparable environment
Hands-on experience with cloud environments (GCP, AWS, and/or Azure)
Experience scaling a compliance program to public-company standards
Track record of scaling an audit or SOX program through periods of rapid growth
Familiarity with enterprise systems such as Workday, Salesforce, or GitHub
Experience evaluating SDLC controls in modern software development environments
CISA, CIA, CISSP, CPA, or equivalent certification
Genuine enthusiasm for working in an AI-first environment — applying AI to audit work itself and rethinking assumptions about how controls operate when AI is embedded in the processes being audited
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$230,000
—
$300,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA • New York, NY
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!
Figma’s Data Science team partners across product, engineering, design, marketing, sales, and operations to help Figma make better decisions with data. As a PhD Data Science Intern, you’ll bring rigorous research training to some of Figma’s most important and open-ended questions, from researching emerging product and user behaviors and Figma’s broader ecosystem to developing new measurement methodologies, applying causal inference or machine learning, and building analytical systems. You’ll own a data science project end-to-end: from framing the question and methodology to translating findings into insights that influence Figma’s products, strategy, or data science practices; with the potential to continue toward publication after the internship.
This internship will be based out of our San Francisco or New York hub.
What you’ll do at Figma:
Partner with cross-functional teams to turn ambiguous product, platform, or business questions into well-defined data science problems
Analyze user, product, or business data to uncover insights and recommend actions
Design and evaluate experiments, metrics, statistical or machine learning models, and analytical frameworks
Communicate assumptions, tradeoffs, limitations, and recommendations clearly to technical and non-technical partners
Own a focused internship project end-to-end, from problem framing and technical execution through final recommendations, with potential to continue toward publication after the internship
We’d love to hear from you if you have:
Currently pursuing a PhD in Data Science, Statistics, Computer Science, Human-Computer Interaction (HCI), Economics, Operations Research, Physics, Applied Mathematics, or a related quantitative field; with demonstrated experience conducting independent research (e.g. thesis or equivalent research milestone)
Demonstrated fluency in one or more research methodologies or technical areas, such as statistics, experimentation, machine learning, causal inference, econometrics, optimization, user research methods, or AI/LLMs
Experience using a scripting language such as Python or R, as well as proficiency with SQL, for analysis, modeling, or work with complex or large-scale datasets through research, internships, or applied projects
Ability to explain technical concepts clearly and connect analysis to decisions, recommendations, or product/business impact
A curious, rigorous, and self-starting mindset, with the ability to thrive in ambiguous, fast-moving environments and translate research into real-world impact
While it's not required, it's an added plus if you also have:
Prior industry or applied research experience with experimental design, causal inference, forecasting, product measurement, user research, or applied machine learning to influence product, business, platform, or stakeholder decisions
Publications or research relevant to applied data science
Experience or interest in AI product measurement, LLM analytics/evaluation, recommendation systems, search, personalization, or evaluating AI-powered features
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
Pay Transparency Disclosure
This internship role is based in either Figma’s San Francisco or New York hub offices, and has the hourly base pay rate stated below. Figma also offers interns a housing stipend and travel reimbursement. Figma’s compensation and benefits are subject to change and may be modified in the future.
Internship
$68
—
$68 USD
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an
equal opportunity workplace
- we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status
,
or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to
accommodations-ext@figma.com
. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities.
Examples of accommodations include but are not limited to:
Holding interviews in an accessible location
Enabling closed captioning on video conferencing
Ensuring all written communication be compatible with screen readers
Changing the mode or format of interviews
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with
Figma's Candidate Privacy Notice
.
Application limits:
To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles:
Candidates may submit up to 5 applications during any rolling 30-day period.
Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection.
Once the applicable days has passed, candidates are welcome to apply again.
Location: San Francisco, CA | New York City, NY
About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
About the role
Anthropic is dedicated to developing AI assistants that are helpful, harmless, and honest. As usage of our AI services grows, we need to ensure they are not misused. The Safeguards team is at the forefront of protecting our users from the risks of powerful AIs as well as ethical, technical, and social risks from the use of generative AI.
The Safeguards team at Anthropic builds protections for new AI features enabled by the research teams and protects new products and surfaces developed by our product teams. As a Product Manager for the Safeguards team at Anthropic, you will own the ideation, design, development and deployment of Safeguards systems and relevant product UX to ensure we are advancing frontier models safely to users across various cloud platforms. You will work closely with our research and product teams to develop detections, evals, interventions, and tools to measure and mitigate deployment and user risks.
We are looking for a product manager who is deeply committed to making AI safe and beneficial for humanity. You are aware of the risks and are committed to working with experts and coming up with ideas for Anthropic to implement. You have deep technical expertise in development, deployment and measurement of Safeguards systems. You thrive in rapidly moving and ambiguous environments.
Responsibilities
Determine how to build in safety by design upstream and leverage downstream defenses for Anthropic’s frontier models, AI products, customers on different surfaces - Claude.ai, 1P API, external Cloud providers.
Ability to write safety evals and communicate externally about safety.
Drive impact via ruthless prioritization by clearly defining problems, solution options forward, clarity on both business & technical tradeoffs and accordingly clear requirements toward MVP vs. ideal state.
Align & collaborate with policy, enforcement, research, engineering and cross functional stakeholders.
Understand the AI landscape and ecosystem to plan for mitigation of deployment risks of increasingly powerful models and determined adversaries.
Lead the development of metrics to understand the area, performance, blindspots to help inform future project planning.
Minimum Qualifications
You may be a good fit if you have:
Ability to make technical tradeoff decisions; ideally with experience working across policy experts, AI/ML research engineers and software engineering teams to design and build state of the art safety systems.
Strong user understanding of how our products are used, their Safeguards concerns and how we provide the best solutions.
Demonstrated ability to build product and engineering strategy across multiple cross-functional teams for a rapidly changing space.
Demonstrated experience in designing and building metrics to evaluate risks, system performance, user impact and making crisp tradeoffs
Very strong ability to navigate, and prioritize amidst rapidly changing product specs, and to flex into different domains to bring clarity and execute.
Evidence of exercising judgment and decision making in ambiguous situations.
Planning, building, launching and measuring new products / systems in a zero to one environment.
Ability to clearly articulate complex technical concepts to non-technical audiences in written and verbal communication.
Think creatively about the risks and benefits of new technologies, and think beyond past checklists and playbooks.
Preferred Qualifications
5+ years in product management with a focus on fast problem understanding, building roadmaps with tractable progress, ability to get into the details on data, detection & interventions, infrastructure & tools, and/or evals.
The annual compensation range for this role is listed below.
For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
Annual Salary:
$385,000
—
$460,000 USD
Logistics
Minimum education:
Bachelor’s degree or an equivalent combination of education, training, and/or experience
Required field of study:
A field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience:
Years of experience required will correlate with the internal job level requirements for the position
Location-based hybrid policy:
Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship:
We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.
We encourage you to apply even if you do not believe you meet every single qualification.
Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us.
To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit
anthropic.com/careers
directly for confirmed position openings.
How we're different
We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.
The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.
Come work with us!
Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.
Guidance on Candidates' AI Usage:
Learn about
our policy
for using AI in our application process.
Location: San Francisco, CA; New York, NY
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
As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai on a Flagship Deployment, you’ll lead the end-to-end deployment for one of Sierra’s largest and most strategic customers. You own how Sierra's AI agents come to life, often managing scaled deployments as well as new proofs of concept within the same account. You sit at the intersection of product, building agents and customer-facing work, and stay just as close to the technology as you are to the people you build for. You transform a customer's thorniest, highest-stakes problems into agents that measurably move their business.
- Own the Agent Development Life Cycle https://sierra.ai/blog/agent-development-life-cycle. Take agents from initial scope through conversation design, tooling, and evaluation, to launch and continuous iteration in production — translating business goals into an agent that outperforms, and tuning relentlessly until it's the best version of itself in the real world. You'll have real ownership and autonomy over the outcome.
- Be the trusted strategic advisor to enterprise leaders. Sit shoulder-to-shoulder with our customers' executives, understand what success actually means to their business, and shape the AI strategy that gets them there.
- Partner with the customer's working teams and executives day to day. Oversee overall program management while ensuring ongoing executive alignment on the long term roadmap.
- Navigate enterprise complexity with cross-functional teams (engineering and product). At this scale, every big technical discussion is also a negotiation — you'll need to read the implications in real time, hold your ground, and steer toward the right outcome. Expect to work across business units, procurement, compliance, and senior execs.
- Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next.
- Manage internal resourcing requirements. Ensure that your deployment is appropriately resourced today and into the future
- Drive financial success for both the customer and Sierra. Ensure value exchange is optimized, drive revenue upside for Sierra, and work internally to manage down cost to serve over time, improving margins.
- Partner with Sales on commercial strategy. You are a key player in closing new business within the deployment by identifying opportunities, aligning resources, and
EXAMPLE PROJECTS
These are the kinds of projects that strategists on our team have worked on recently:
- Plan, organize, and execute on-site business reviews onsite at a Fortune 100 company with Sierra cofounders in attendance
- Manage a portfolio of agents across a customer deployment as they scale nationally, to new use cases, and grow in technical complexity
- Build relationships throughout the customer’s organization, unlocking high trust, social capital, and ultimately new ARR
- Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation.
- Partner with product on a net-new capability — a new agent architecture or self-service tooling — using a live customer as the design partner.
- Define the evaluation and quality bar for a new agent, then use those metrics to drive a measurable lift in outcome https://sierra.ai/blog/outcome-based-pricing-for-ai-agents week over week.
WHAT YOU’LL BRING
- Proven track record: 10+ years of relevant experience driving results in high stakes situations in an enterprise customer facing role, ideally in a dedicated, embedded model with a named enterprise account — you know what it means to be accountable for a relationship at that depth.
- Customer obsession. Genuine energy being in front of customers — understanding their business and needs, thriving in complex organizations, and building trusted relationships.
- Communication. Clear, direct, and persuasive across technical and non-technical audiences.
- Strategic problem-solving in ambiguity. Strong analytical and critical-thinking skills to break down complex problems, spot risks early, and adapt as things change fast.
- Technical aptitude. Comfortable engaging directly with technical concepts - reading API documentation, understanding data models and system architecture, and following engineering tradeoffs in a design discussion.
- Ownership and delivery. A track record of running multiple complex, high-visibility projects at once and driving them to outcomes.
EVEN BETTER...
- You've run a company, business unit, forward deployed team, or have comparable experience in general management of business initiatives that require technical aptitude, strategic leadership, operational excellence, and financial outcome accountability.
- Experience building or deploying AI/LLM agents in production — hands-on with the tools behind them (eval frameworks, agent tooling, RAG, prompt engineering) — working closely with technical counterparts.
- A degree in Computer Science, Engineering, Mathematics, a related technical field, or equivalent practical experience — and/or an MBA or comparable experience at the intersection of technology and business.
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: New York City, New York
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking an exceptional Product Manager to join our Data Platform team. This role will report to the Product Lead for Data Platform. This team owns the infrastructure and data that powers Garner’s transformative approach to delivering high-quality and affordable care. In this role, you’ll be given wide-ranging responsibility to shape how Garner ingests and governs the data that powers our business and how we ensure quality and security from the start.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
Develop the roadmap for ingesting and processing client data, shaping our strategy and developing scalable and consistent approaches that ensure quality and speed
Own the experience for connecting to client data and making it available to internal consumers to process member payments efficiently and report results to clients
Embed deeply with internal teams, employers, and integration partners to understand their pain points and develop product ideas
Drive new product and feature development from ideation to launch
Develop prototypes and build and ship minor features end to end
Define success metrics for every initiative, ensuring we have the data in place to measure outcomes and rallying the team around what winning looks like and how we get there
The ideal candidate has:
2–4 years of product management experience, ideally on data platforms, integrations, or infrastructure products
Experience with data ingestion and file-based data exchange (e.g., claims, eligibility, or payments data) and partnering closely with data engineering teams
Exceptional analytical and problem-solving skills, with a focus on using data to define success metrics, drive decisions, and measure outcomes
Technical fluency — comfort working with data pipelines, writing basic SQL, building prototypes, and shipping minor features end-to-end
Strong communication and stakeholder management skills, with comfort working across technical and non-technical teams and external integration partners
A high level of autonomy and ownership — able to move quickly and independently in ambiguous problem spaces
1 year of working in an AI-forward development environment
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation Transparency:
The target salary range for this position is $143,000 - $170,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Remote
What you’ll be part of
Garner is on a mission to transform the U.S. healthcare system — and we’re the only proven player doing exactly that. We partner with employers to redesign how healthcare works: applying 550+ proprietary clinical metrics across 80+ specialties to a dataset of 320M+ patients to identify the best-performing doctors, then using compelling incentives to steer members to the care that helps them get healthier, faster.
The result is a rare “win win” — better care and lower costs for both members and employers. In just five years, our work has helped over 2.5 million people access higher-quality care and saved $1B in healthcare costs. We recently raised our Series E and have doubled five years running. If you've ever wanted your work to solve a problem that touches every person in this country, this is the opportunity to do exactly that. You'd be joining a team fundamentally reimagining healthcare in the U.S. — and using AI to scale that impact further and faster than anyone else can.
About the role:
We are seeking a Staff Security Engineer to serve as a technical anchor for our security function. This role is critical for leading technical design reviews and ensuring our security posture scales alongside our rapid customer growth. You will be responsible for defining the security standards that protect sensitive healthcare data, ensuring our systems are resilient against evolving threats while maintaining high engineering velocity.
Where you will work:
Garner is headquartered in NYC, but this position is available for individuals who are comfortable with remote work and occasional travel to HQ.
What you will do:
Lead technical security design: Own the technical design and review process for security-critical systems, ensuring all new features meet Garner's high standards for data protection and resilience
Master complex domains: Maintain and apply a mastery of one or more technical security domains (e.g., Cloud Security, AppSec, or Data) to solve the most complex business and technical challenges
Course-correct technical direction: Identify when technical paths are inefficient or insufficient and proactively redirect efforts to capture higher ROI for the firm
Architect automated defenses: Create and implement advanced tools and automation that increase the efficacy of security monitoring and incident response
Translate ambiguity into execution: Take broad, complex security objectives and break them down into well-defined deliverables and architectural requirements for the broader engineering team
Mentor through technical rigor: Raise the bar for the engineering function by providing high-level feedback during code and design reviews, fostering a culture of security-first development
The ideal candidate has:
Exceptional Technical Judgment:
Proven ability to make high-stakes technical decisions that result in positive long-term outcomes for the company's security posture
Strategic Problem-Solving:
Effectively leverages context and data to analyze root causes and prioritize security initiatives that offer the greatest impact on risk reduction
Influential Stakeholder Management:
Builds strong relationships across the organization, conveying complex security risks in a clear and compelling manner to both technical and non-technical partners
Drive for Innovation:
Continuously identifies and implements creative solutions to pay down technical debt and improve the efficiency of our security infrastructure
Reliability Under Pressure:
Handles complex escalations and security incidents with discipline, ensuring rigorous analysis and comprehensive resolution without jumping to conclusions
A desire to be a part of a high-performing, mission-driven team
that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Technologies we use:
Python, Kubernetes, Snowflake, AWS, Terraform, Wiz, Cyberhaven, and more
This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Compensation Transparency:
The target salary range for this position is $258,000 - $310,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use
getgarner.com
and
garnerhealth.com
email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement
here
and to
candidateprotection@garnerhealth.com
.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at
talent@garnerhealth.com
.
Location: Lithuania
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
Location: Romania
OUR HIRING PROCESS:
We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment.
We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team.
At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team.
From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live.
INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our
Privacy Policy
We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement.
This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch.
Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers.
As part of our team, your responsibilities in this role will include:
Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed.
Build and maintain MCP servers and tool layers that give agents governed access to company data and systems.
Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing.
Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks.
Contribute to shared platform pieces: the agent template, the LLM gateway, observability.
Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent.
Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes.
Our ideal candidate possesses the following skills:
5+ years of software engineering experience, with production systems you've designed, shipped and supported.
Proven experience building LLM-based agents or agentic workflows that reached production with real users.
Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one.
Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data.
Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management.
Strong Python and SQL. Comfortable in TypeScript/Node.js.
Solid production engineering on AWS: Docker, CI/CD, testing, observability.
Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes.
Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce.
Clear communication with technical and non-technical stakeholders, in English.
Nice to have:
LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar).
B2B contact and company data: enrichment, deduplication, matching.
Cloud operations or FinOps: monitoring, incident handling, cost management.
Event-driven or workflow-engine experience (Kafka, Temporal or similar).
Experience replacing no-code or workflow-tool automations with production code.
What we offer:
Fully remote work format;
A collaborative and creative environment that values initiative and experimentation;
Paid time off and sick leave;
Reduced working hours on Fridays during the summer;
Days-off on US national holidays + your birthday;
Schedule: 14 PM - 23 PM EEST (Kyiv time).
Location: London, United Kingdom
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.
Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Data Science organisation sits at the heart of Deliveroo powering decision-making across our 3 sided marketplace.
We’re looking for a
Senior Data Scientist
to join our
London
team (working hybrid, 3 days in the office). In this role, you’ll drive high-quality decision-making to maximise impact.
We’re hiring multiple Senior Data Scientists across different areas of the business. Rather than hiring for one fixed team, we use the interview process to understand your strengths, interests and development areas, and then align you to the right scope, remit and team.
About Our Data Science Organisation
We have an outstanding Data Science organisation, with a mission to drive the highest quality decision-making across our marketplace. We work throughout the company, in product, operations, and platform teams and are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. We are great communicators, and move fast to serve our customers a little better every day.
Our community is highly active, with guest lectures, study groups, mentorship programmes and a robust technical review process. Data Scientists can progress equally as IC leads or managers.
Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not.
What You’ll Be Doing
Here’s what your day-to-day might look like:
Proactive Impact Delivery:
You will independently identify, define, and deliver impactful work that aligns with business goals and metrics, operating with minimal guidance to provide high value to your team and the broader organisation. You will own delivery end-to-end, ensuring the delivery of fast, high-quality, solutions that meet business needs.
Navigating Ambiguity and Complexity:
You will excel at deconstructing broad, ambiguous problem spaces into structured technical roadmaps, managing projects that require both deep team-specific rigour and an understanding of how they intersect with adjacent systems.
Strategic Technical Execution:
Drive strategic decision-making by selecting the most effective tool or method for the task, maintaining a focus on high-quality execution and measurable results. You will act as a well-trusted strategic partner to stakeholders, using analytics, effective communication and domain expertise to influence roadmaps.
Experimentation and measurement:
Design and lead measurement strategies that drive product direction, ranging from simple A/B tests to complex experimental designs. You will be equally capable of applying alternative causal inference techniques when standard trials aren't feasible, ensuring the business moves based on data driven insights.
Organisational Alignment
: Actively contribute to the broader Analytics community, driving L+D initiatives and cross-functional collaboration. You will ensure we are delivering the "right" things org-wide by aligning technical work with overarching business strategy and shared best practices.
What You’ll Need to Thrive
Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:
Significant experience in Data Science (or similar) roles.
A pragmatic and adaptable approach, with a strong focus on delivering impact efficiently at pace.
Excellent people skills — you'll be meeting with a range of both technical and non-technical stakeholders to translate business needs into data science problems
Experience leading both simple and more complex experiment designs, with the ability to proactively unpick insights to steer strategic decision making
Great communication skills - in person, in writing, in code; to technical and non-technical audiences.
Through solid analysis, provide clear and actionable recommendations that influence the team's roadmap.
Effective problem-solving, demonstrating an ability to successfully address complex and ambiguous challenges.
Ability to think creatively and insightfully about business problems
Proficiency with analytical tools like R/Python and familiarity with SQL. Proficiency with Cursor/AI tools to deliver impactful, high quality work efficiently is also valued
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.
We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about
how we hire here
.
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: 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 - iOS
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’re looking for a
Senior Software Engineer - iOS
to join our
London
team. In this role, you’ll help us evolve our mobile architecture and deliver seamless, high-performance features that define the future of on-demand delivery. This role is based in our London office with a
hybrid
setup, typically 3 days in the office.
Get to know our
Engineering
team — what drives us, how we work, and what you can expect.
What You’ll Be Doing
You’ll be joining the
Consumer
team. We are responsible for the primary touchpoint of millions of users, ensuring the journey from "hungry" to "happy" is intuitive, lightning-fast, and reliable.
As a Senior Engineer, your individual work meaningfully contributes to achieving goals across multiple teams. Here’s what your day-to-day might look like:
Lead Technical Execution:
Design and scale robust iOS architecture, ensuring our mobile codebase remains modular, testable, and maintainable.
Drive Code Excellence:
Take pride in shipping readable, well-designed software through rigorous code reviews and by setting a high bar for engineering standards.
Champion Operational Health:
Continuously simplify the maintenance of production systems, focusing on visibility, crash rates, and overall app performance.
Collaborate & Influence:
Partner closely with Product and Design to break down complex problems and shape a roadmap that balances feature delivery with technical debt.
Mentor & Grow:
Proactively assist in the growth of your colleagues, guiding technical choices and participating in the hiring process to build a world-class 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:
Significant experience building iOS applications
with a deep understanding of Swift and/or Objective-C.
Proven ability to scale mobile architecture
within a large-scale codebase, ensuring performance and stability for millions of users.
Demonstrated ownership of technical delivery
within a cross-functional team, ideally within a fast-paced product environment.
Expertise in modern iOS frameworks
, including a strong command of UIKit and AutoLayout.
A commitment to quality
, with a natural inclination toward writing well-tested code and implementing CI/CD best practices.
Effective communication skills
, with the ability to translate technical trade-offs for non-technical stakeholders.
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.
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.
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!
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: 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.
Join us in our mission to transform the way people shop and eat, where impact, innovation and growth drive everything we do. Our Data Science organisation sits at the heart of Deliveroo, powering decision-making across product, commercial and operational teams through experimentation and causal inference.
We’re hiring multiple Data Science Managers across different areas of the business. All of these roles are at the same level. Rather than hiring for one fixed team, we use the interview process to understand your strengths, interests and development areas, and then align you to the right scope and team at the end of the process, based on your background, interview performance, preferences and current business needs.
We’re also advertising some opportunities separately where particular domain experience is especially relevant. You only need to submit one application, as we’ll consider your profile across all suitable Data Science Manager vacancies. Before an offer is made, you’ll have the opportunity to meet the proposed team, either virtually or at our London headquarters, and learn more about the role’s scope and priorities.
What You’ll Be Doing
You’ll own the analytical direction and measurable impact of a product or business area, while leading and developing a high-performing team of data scientists or machine learning engineers.
Our Data Science Managers work across a range of consumer, product and commercial areas. Depending on the team you join, your work could focus on areas such as customer retention and loyalty, pricing and promotions, discovery and personalisation, or customer acquisition and engagement.
Across all roles, you’ll lead and develop your team, set the analytical direction for your area and decide which problems are worth solving. You’ll ensure data science work translates into better product and commercial decisions, not just analysis.
You’ll remain hands-on while managing a team, partnering with Product, Engineering, Ops, Marketing and Finance as a thought partner. You’ll set the bar for analytical rigour, prioritisation and impact across noisy metrics, real trade-offs and strong stakeholder opinions.
What You’ll Need to Thrive
Our ideal candidate will bring strong expertise in some of these areas and curiosity to grow in others:
Experience line managing data scientists and supporting their career development
A strong background as a senior individual contributor, with hands-on experience in experimentation, causal inference or applied machine learning
Proven ability to identify high-impact opportunities and turn insights into clear strategy and execution
Confidence working with senior stakeholders and explaining complex technical concepts to non-technical audiences
Comfort operating in fast-moving, ambiguous environments where prioritisation and judgement matter as much as technical skill
Why Join Us?
At Deliveroo, you’ll work on real-world problems at global scale, across a three-sided marketplace that is constantly evolving.
We’re food lovers, problem solvers, community organisers and more, united by a shared drive to make things better. Working here, you can expect:
High autonomy to shape strategy and deliver meaningful impact
Support to learn and grow through L&D programmes, mentoring and peer learning
A strong focus on wellbeing, with benefits that vary by country
A place to belong, with a diverse global workforce and active employee communities
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: 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 Product Manager, Core People Technology
Location:
London |
Work model:
Hybrid |
Reports to:
Senior Manager, People Product
About the team
People Technology builds and runs the systems behind every hire, transfer, leave, pay change and offboard for our workforce across DoorDash, Deliveroo and Wolt. Our mission is to make the operational backbone of People Operations invisible when it works — reliable, compliant, and scalable across dozens of markets — so our people teams can focus on people, not process. This role sits on the People Product team, working alongside Business Systems Analysts, engineers and delivery leadership to bring product thinking to one of our highest-volume, highest-consequence surfaces.
About the role
Core is the Workday and HR platform surface that nearly every People Operations process runs through — pay, leave, employment status, right to work, and multi-country compliance for a global workforce. Demand structurally exceeds capacity, and requests arrive from every direction without a shared shape. You'll be the first dedicated product manager for this space, responsible for turning that inbound chaos into a defensible, well-communicated plan — and, over time, for building the intake, frameworks and partnerships that let the space run on systems rather than on you.
This is a hands-on individual contributor role: you'll be shaping tickets and sizing work alongside analysts and engineers, not managing from above.
What you'll be doing
Own the prioritised order of work for Core — building a clear, ranked plan, explaining the reasoning behind it, and being explicit about what's being deferred and why
Turn vague or incomplete partner requests into documented problems, mapped current-state processes, and testable outcomes
Partner directly and regularly with People Operations, Compliance, Payroll, Total Rewards and Business Systems Analysts, including holding "not now" conversations without damaging the relationship
Work hands-on with analysts and engineers to shape, size, and write tickets, keeping an accurate and current picture of committed, shipped, and carried-over work
Build and evolve the operating model across the analyst and engineering pod — the mechanisms, documentation and intake processes that let the space run with less coordination overhead
Use AI tools to accelerate translation of messy, multi-format, multi-language inbound requests into structured requirements and plans, while applying clear judgment about what should never be automated (anything touching pay, leave, employment status or right to work)
Escalate proactively on statutory or audit exposure, cross-space dependencies, and any trade-off that would move a compliance date
Report progress and delivery against plan to partners and leadership, including clear communication when outcomes fall short
Requirements
Experience owning a product or systems area end-to-end, with real decision rights over scope and sequencing — not co-ownership of a feature
Hands-on background with Workday or a comparable HRIS as a product manager or technical program manager, with genuine understanding of configuration, business processes, and integrations
Demonstrated ability to prioritise when demand structurally exceeds capacity, including a repeatable method (not just instinct) for deciding what to do and communicating what won't get done
Proven delivery in ambiguous, fast-moving environments, comfortable starting when requirements are incomplete or undocumented
Experience translating a partner's requested solution into a well-defined problem, current-state understanding, and testable outcome
Strong collaboration skills across technical and non-technical stakeholders, including compliance, payroll, or other regulated/audit-exposed functions
Practical fluency with AI tools for requirements drafting, documentation, and structuring unstructured information, paired with sound judgment about where not to apply them
Why Deliveroo
Our mission is to transform the way you shop and eat, bringing the neighborhood to your door by connecting consumers, restaurants, shops and riders. We are transforming the way the world eats and shops by making access to food and products more convenient and enjoyable. We give people the opportunity to buy what they want, as they want it, when and where they want it.
We are a technology-driven company at the forefront of the most rapidly expanding industry in the world. We are still a small team, making a very large impact, looking to answer some of the most interesting questions out there. We move fast, value autonomy and ownership, and we are always looking for new ideas.
Workplace & Benefits
At Deliveroo we know that people are the heart of the business and we prioritise their welfare. Benefits differ by country, but we offer many benefits in areas including healthcare, well-being, parental leave, pensions, and generous annual leave allowances, including time off to support a charitable cause of your choice. Benefits are country-specific, please ask your recruiter for more information.
Diversity
At Deliveroo, we believe a great workplace is one that represents the world we live in and how beautifully diverse it can be. That means we have no judgement when it comes to any one of the things that make you who you are - your gender, race, sexuality, religion or a secret aversion to coriander. All you need is a passion for (most) food and a desire to be part of one of the fastest-growing businesses in a rapidly growing industry.
We are committed to diversity, equity and inclusion in all aspects of our hiring process. We recognise that some candidates may require adjustments to apply for a position or fairly participate in the interview process. If you require any adjustments, please don't hesitate to let us know. We will make every effort to provide the necessary adjustments to ensure you have an equitable opportunity to succeed.
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
.
leadAmsterdam, Netherlands
San Francisco, CA | New York City, NY
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УдалённоUnited States; ClickUp Talent Acquisition will only initiate contact via an @clickup.com http://clickup.com email or through our official careers portal on clickup.com http://clickup.com
Vancouver, British Columbia, Canada
География найма не уточнена
San Francisco, CA
СтажёрSan Francisco, CA • New York, NY
San Francisco, CA | New York City, NY
ОфисSan Francisco, CA; New York, NY
New York City, New York
УдалённоГеография найма не уточнена
seniorLithuania
seniorRomania
seniorLondon, United Kingdom; 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
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
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
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
