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Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Tamil language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

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. Sierra was co-founded by Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/ who first met while working together at Google over 20 years ago. Bret currently serves as Chairman of the Board of Open AI. Previously, he was co-CEO of Salesforce and CTO of Facebook. Clay spent 18 years at Google, where he most recently led Google Labs. ABOUT THE TRAVEL, TRANSPORTATION AND HOSPITALITY TEAM - The Travel, Transportation and Hospitality (TTH) supports some of the largest airlines, hotel chains, rental car brands, cruise lines and travel tech companies in the world. Our customers are pioneers in the travel space and are true thought partners in shaping our platform, helping reinvent what hospitality looks like in this new era. Our customers rely on us not only to deliver exceptional customer experiences, but also to drive meaningful growth for their businesses. - Our TTH team is constantly pushing the bounds of what is possible within this industry and beyond. We help support our customers in the moments that matter — whether that’s proactively encouraging new bookings to prepare for exciting events, or helping guests rebook their flights or stays during times of distress. We help our customers maximize the lifetime value of their guests and build products to delight guests at every touchpoint. - We’re a small and scrappy team, and we support each other with any deliverables we have to meet. Every engineer on TTH is also a product-led thinker; every PM on TTH is tinkering and developing tangible prototypes; and every strategist on TTH is capable of owning an agent end to end. As a part of this team, you’ll set the standard for what it means to go beyond your role, and help build the travel industry of the future. WHAT YOU’LL DO As an Agent Strategist https://sierra.ai/blog/agent-strategist-your-phd-in-applied-ai, you own how Sierra’s AI agents come to life for our customers — from first pilot to a production agent handling thousands of conversations a day. 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 day to day. Run working sessions, troubleshoot the agent as issues come up, and make the calls that keep the build on track for launch. - Directly impact product. Surface unmet needs from your customer work, and feed them back to research and platform to shape where Sierra goes next. EXAMPLE PROJECTS These are the kinds of projects that strategists on our team have worked on recently: - Scope and launch a subscription-retention agent for a large telecommunications or media company that consistently outperforms human agents at saving at-risk customers. - Stand up an agent for a commerce customer that troubleshoots a broken device end-to-end and personalizes product recommendations in the same conversation. - Redesign the conversation flows for a financial services agent so it can handle complex, regulated interactions — and convert a pilot into a multi-team production deployment. See our financial services blog https://sierra.ai/blog/five-ways-to-use-ai-agents-financial-services for examples. - 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 - 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... - 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. - You’ve been a founder, founding team member, or operator — you know how to balance craft, ownership, and speed. - 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 - Lunch, as well as delicious snacks and coffee to keep you energized when working onsite - 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 employment type, 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 through the link on this page even if your experience doesn't precisely match the job description. Sierra is a proud equal opportunity employer. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state or local laws, including veteran status and disability status. Hiring decisions are made by people, based on merit. If you need a reasonable accommodation for a disability, a religious practice, pregnancy or any related condition at any point in the application or interview process, contact us at accommodations@sierra.ai. Requests are handled confidentially and do not affect your candidacy. We will consider qualified applicants with arrest and conviction records in accordance with applicable fair chance laws.

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE We're looking for a Product Manager to own key parts of LangSmith. Building AI products is changing the way software teams work; LangSmith is the observability, evals and deployment platform that makes shipping reliable AI systems possible. WHAT YOU'LL DO This role sits at the intersection of user experience and production infrastructure. You'll partner with engineers to build features that feel intuitive while solving deeply technical problems: versioning complex prompt chains, debugging multi-step agent failures, or designing evaluation systems that scale from 10 to 10,000 test cases. You'll work directly with customers — from early-stage startups shipping their first agent to enterprises running mission-critical AI systems — to understand where the platform breaks down and what capabilities unlock new workflows. - Own the roadmap for a core area of the LangSmith platform. - Work with customers to understand their challenges and define new product features. - Work with engineering to define scope, make technical tradeoffs, and ship high-impact features quickly. - Help shape product strategy alongside our founders and leadership team. WHAT YOU'LL BRING - 3+ years of product management or engineering experience, ideally building developer tools, infrastructure products, or technical SaaS platforms. - Deeply technical — you can hold your own in conversations about API design, system architecture, data pipelines, and debugging production issues. - Bias toward action — you'd rather ship, learn, and iterate than build the perfect solution upfront. - Strong written and verbal communicator who can align cross-functional teams around a shared vision. NICE TO HAVE - Computer Science, Engineering, or equivalent technical background. - Previous experience at a high-growth startup or developer-focused company. - Hands-on experience building with LLMs, agents, or AI applications. - Annual salary range: $180,000-$240,000 COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Remote, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking to hire a Senior Sales Engineer Enterprise to join our Field Engineering team. As a Sales Engineer, you will be a trusted technical advisor to some of our largest and most strategic customers, helping them evaluate, adopt, and expand their use of dbt. You’ll partner closely with Sales to understand customers’ technical and business priorities, design solutions using the dbt platform, and demonstrate measurable value throughout the evaluation process. You’ll work across the customer lifecycle—from technical discovery and evaluation through adoption and expansion—while partnering with Product, Engineering, and our technology partners to bring customer needs back into the business. This is a full-time position based in the West Region. Technologies You’ll Use AWS, GCP, Azure, Snowflake, BigQuery, Databricks, Kafka, Grafana, Linux, Windows, Python, Java, Iceberg, dbt Cloud, SQL, data catalogs What You’ll Do Work with Enterprise customers to understand their business, use cases, and requirements across data replication, transformation, and modeling Develop and deliver technical presentations to Enterprise audiences on the full Fivetran + dbt value proposition Ensure the technical win by running a tight proof-of-value process spanning ingestion through transformation Guide customers through dbt Cloud proof-of-concept implementations, including private-cloud deployments for enterprise clients where applicable Work closely with Product and Engineering to align solutions with Enterprise customer needs and inform the dbt Cloud enterprise roadmap Develop and maintain relationships with key Enterprise customers and partners (including Snowflake, AWS, Databricks) Own the technical relationship across the full customer lifecycle — pre-sale evaluation through adoption and expansion Stay current on trends in data movement, transformation, and analytics engineering; be an active participant in the dbt community Skills We’re Looking For 7+ years in data replication, sales engineering, solutions architecture, or consulting in data operations, analytics, or BI Strong technical background covering database replication, cloud infrastructure, and modern data warehousing architectures Hands-on experience with SQL, ETL/ELT, and data modeling Experience with modern data analytics technologies, including cloud data warehouses/lakes, transformation tooling (dbt or similar), data catalogs, and BI tools Ability to gather and translate technical and business requirements into concrete solutions Excellent communication and presentation skills, able to explain complex technical concepts to technical and non-technical stakeholders Strong problem-solving and analytical skills; comfortable operating in ambiguous, fast-paced environments Optional Bonus Skills Prior experience at an analytics, ETL, BI, or open-source software company Hands-on experience with dbt Cloud or dbt Core or Fivetran Experience with data modeling methodologies (dimensional, data vault, Kimball, 3NF) Experience with Oracle, SQL Server, MySQL, or traditional Enterprise ETL tooling (Informatica, Boomi, Talend) Experience with self-hosted software applications and supporting infrastructure Hands-on networking experience, cloud and on-premise The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role. For this role, on-target earnings (OTE) are split 70% base salary and 30% variable compensation. Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process OTE (On Target Earning) $218,491.87 — $303,462.32 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As Principal Product Marketing Manager, Competitive, you own GitLab's competitive point of view on AI and agentic software development and serve as the authority on our market differentiation. You consult regularly with sales, product teams, investor relations, industry analysts, and leadership on competitive strategy and roadmap implications while publishing external thought leadership. With deep experience in the modern SDLC and agentic tooling, you collaborate with developer advocacy and conduct primary market analysis to drive positioning, field assets, competitive plays, and partnership strategy. In your first year, you will establish a defensible AI and agentic narrative and an agile operating rhythm that turns market signals into action. Reporting to the Senior Director, Product & Solutions Marketing, you will operate with executive visibility and autonomy, measuring success by win rates, competitive displacements, and market leadership in the AI and agentic category. Some examples of projects: Define GitLab's differentiated position against AI-native entrants competing for the SDLC Publish thought leadership that shapes how the market frames agentic development Assess new entrants and share relevant market-shaping insights across the company Shape partnership strategy based on competitive footing Arm executives with competitive narrative for customer and board conversations What you'll do Own GitLab's competitive positioning for AI and agentic software development end to end, from primary landscape analysis through understanding of competitive tools and developer-level perceptions. And turn that into the narrative the field, analysts, and executives all use Own the operating rhythm that converts competitive signal into a position and action within days Give Product an opinionated read on what competitive movement means for roadmap sequencing, bringing evidence and a recommendation rather than a summary of what competitors shipped Build the compete assets, plays, and objection handling the field uses against named competitors, define the sales motion that moves win rate, then measure whether it did Partner with Growth and Campaigns on competitor displacement campaigns, accountable for their contribution to pipeline Brief Investor Relations, industry analysts, sales, and executive leadership with the same rigor, owning the competitive-landscape narrative with analysts and PMMs Raise the competitive bar across the PMM team Ability to travel if needed and comply with the company's travel policy What you'll bring Proven impact at the organizational and industry level Deep domain expertise in SDLC, DevSecOps, and agentic software development to engage technical buyers and executive audiences Track record of driving competitive positioning that delivers measurable win-rate impact Fluency in the AI/agentic coding landscape and competitor exposure areas Established thought leadership with industry recognition (speaking, publications, advisory roles) Experience briefing executives, investor relations, and industry analysts Ability to form and articulate a clear point of view quickly despite incomplete information Strong communication skills to translate complex technical concepts into clear narratives Practical experience using AI tools within your workflow Self-directed, data-driven mindset using win/loss insights to guide strategy About the team Product & Technical Marketing at GitLab is the engine behind how GitLab positions, launches, documents, and evangelizes its value proposition for enterprises worldwide. We connect GitLab's product capabilities to customers and prospects across technical personas and executive buyers, and we partner closely with Product Management, Product Design, Growth Marketing, Comms and Social, Field Enablement, Sales, and the broader go-to-market organization so what we build lands in market with clarity, impact, and relevance. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $168,000 — $285,600 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: Bangalore, India GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Data Analyst, you'll turn raw data into actionable insights that inform strategic decisions across GitLab's global Support Engineering organization. You'll design dashboards, reports, and data models that help leaders monitor performance, optimize costs, and improve customer outcomes. You'll also promote data innovation by experimenting thoughtfully and working through complex problems. What you'll do Own annual operating plan and capacity planning through data modeling and validation that support workforce and budget decisions. Build and maintain utilization and team-performance scorecards, including automated alerting that surfaces trends in real time. Analyze Support Economics, including cost-per-ticket modeling, self-service savings, and product quality costs. Develop performance indexes and heatmaps that identify product areas and customers using the most support resources. Lead dashboarding for AI adoption and return on investment, measuring the business impact of AI-driven initiatives across Support Engineering. Partner with go-to-market teams on predictive analytics and churn-prevention models that identify at-risk customers. Define and refine unified customer-schema requirements to create consistent data across systems and a single source of truth. Deliver Monthly Business Review telemetry, executive-ready reporting packages, recurring operational reports, and ad hoc analysis. What you'll bring Experience as a business intelligence analyst, analytics engineer, or in a similar data role, ideally in a software as a service or technology company. Experience partnering with Technical Support, Business Operations, Product Engineering, or similar organizations. Fluency in SQL, including complex multi-table joins, grouping and aggregation, common table expressions, and conditional filters. Hands-on experience building dashboards and reports in Zendesk Explore, Tableau, Looker, or similar business intelligence tools. Translate ambiguous business questions into structured analytical frameworks. Present findings clearly to technical and non-technical stakeholders. Plan and prioritize work independently in a remote, cross-functional environment across time zones. You may also bring experience with large language model-based tools, artificial intelligence and machine learning workflows, durable data solutions, analytics frameworks, in-depth data analysis, or presenting to senior leaders and executives. About the team Our Support Engineering organization uses data to understand performance, improve customer outcomes, and improve operational practices. You'll partner across Support Engineering, go-to-market teams, Business Operations, and Product Engineering in an all-remote environment. How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: New York, NY, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHY BOX NEEDS YOU As an Commercial Sales Manager, you will lead a team of Account Executives that focus on closing pivotal deals in accounts experiencing high growth. You will join a team of highly motivated, energetic sales professionals working with customers 1-500 employees who take pride in landing new customers, expanding existing customer accounts, running strategic sales cycles and delivering the Box message to a wide base of accounts across various industries. WHAT YOU'LL DO Hire, train and manage a team of Commercial Account Executives Develop AEs for career growth within the Box Sales organization Actively participate in customer on-sites, calls, and any other assistance your team needs in getting deals closed Report on sales metrics and forecast to senior sales management Motivate individuals and team to exceed objectives through coaching and mentorship WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. 5+ years of closing sales experience 1+ year experience managing, hiring and training Account Executives to achieve performance goals Deep understanding of MEDDPIC with the ability to coach and reinforce it with SMB sellers Experience building a new territory and driving net-new business while growing and retaining an existing customer base Experience with Command of the Message or Challenger Sale preferred Preferred experience selling into multiple segments (SMB, Mid-Market, Enterprise) Excellent communication, business acumen, organizational and time management skills Prior success in SaaS sales or proven ability to learn new technology quickly Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . #LI-Hybrid #LI-AV1 Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . New York City Pay Range $170,500 — $255,500 USD

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Marathi language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: Singapore 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 seeking an International Accounting expert (APAC) to join our International Accounting team in Singapore. This role reports to our APAC Accounting Lead and is the first hire in our Singapore hub. In this pivotal role, you will build and implement the framework for local compliance across our APAC entities (Singapore, Japan, Korea, Australia and India), with an initial focus on Singapore, Japan and Korea, while flexibly adapting to our evolving needs as we scale. As a key contributor to establishing our regional accounting operations, you'll partner closely with our global teams while taking ownership of the processes and systems you help create. If you're looking for an opportunity to make a significant impact on the financial infrastructure of an innovative AI company at the forefront of safety, come join us in our mission to build cutting-edge, safe AI. Responsibilities Build and implement frameworks for local compliance across our APAC entities, ensuring alignment with both local statutory requirements and global standards Establish and maintain frameworks for local financial statement review on a monthly basis, including local flux analysis and variance explanations Participate in the development and implementation of international finance policies, adapting existing global policies for regional requirements and establishing local approval workflows Execute monthly consolidation processes and eliminations across international entities, including journal entry preparation and booking, intercompany eliminations, and reconciliations, to ensure timely and accurate group-level reporting Manage intercompany transactions and develop frameworks to support global scaling, including transfer pricing documentation and compliance Handle foreign exchange (FX) transactions and develop monthly processes for currency consolidation and risk management Perform comprehensive reconciliations of balance sheet accounts, ensuring accuracy and completeness of financial records Support local statutory audits of the APAC entities, coordinating with external auditors and preparing comprehensive audit schedules and documentation Support tax compliance framework development and implementation across international jurisdictions Partner with US-based teams to ensure seamless integration of international operations with global financial processes Leverage technology and tools to drive continuous improvement, automation, and operational excellence across international accounting processes, with a focus on finance transformation You may be a good fit if you Have 8+ years of accounting experience, preferably in high-growth environments with multi-country exposure across APAC Have a bachelor's degree in Accounting or Finance, or equivalent practical experience Are a qualified accountant with professional certification (CA, CPA, ACCA or equivalent) Possess deep knowledge of US GAAP, IFRS, and the local statutory framework in at least one of Singapore, Japan, Korea, Australia or India, with strong understanding of statutory reporting requirements Are proficient in Workday, NetSuite, or similar ERP systems, with experience building and optimizing accounting workflows Have experience with consolidations, eliminations, and intercompany accounting processes Demonstrate curiosity and initiative, with a strong drive to independently identify and solve problems Are highly collaborative and able to build strong relationships across time zones and cultures Ability to effectively communicate and influence in a globally distributed team Take high ownership of your work and have the flexibility to adapt to changing needs and priorities Exhibit strong organizational and time-management abilities with exceptional attention to detail Strong candidates may also: Have prior experience at a high-growth technology company, particularly in international operations Bring FX experience including hedging strategies and currency risk management Have worked with complex group structures and multi-jurisdictional consolidations Demonstrate comfort with ambiguity and building processes from the ground up Possess experience working across different time zones and cultural contexts Have knowledge of AI/ML company dynamics and business models Show passion for Anthropic's mission to develop safe and ethical AI systems, with enthusiasm for leveraging AI tools to drive automation and process improvement 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. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. 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: UAE - Dubai Workplace: onsite 1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond. So if you're someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Your mission As Data & Analytics Lead, your mission is to turn complex business and product questions into reliable, actionable answers. You will combine AI, data analytics, data engineering, and deep DeFi expertise to build a more intelligent and scalable approach to decision-making. You will use AI not just to accelerate existing analytics, but to rethink how we explore data, test hypotheses, identify patterns, and make insights accessible across the organization. You will be highly hands-on, with expert-level Dune capabilities and a strong understanding of DEXes, DEX aggregators, on-chain data, liquidity, routing, and market dynamics. What you’ll do Shape and build a self-service data and AI platform that enables teams to ask better questions, find better answers, and make better decisions. Create intuitive ways for teams to explore trusted data using AI, natural language, dashboards, and other analytical interfaces. Build AI-enabled workflows and agents that accelerate analysis, uncover insights, and reduce repetitive analytical work, ensuring AI-generated answers are grounded in trusted data, transparent, and verifiable. Turn complex and ambiguous business and product questions into structured analyses, clear insights, and actionable answers. Develop metrics and analytical frameworks that connect user behavior, product performance, on-chain activity, market dynamics, and business outcomes. Proactively identify trends, anomalies, opportunities, and risks, and establish standards for analytical quality, metrics, dashboards, and decision support. Design and evolve data architecture, models, pipelines, and transformations, integrating on-chain and off-chain data into reliable, scalable, and reusable data products. Ensure data is accurate, well-structured, documented, discoverable, and accessible to people and AI systems, with strong standards for quality, observability, maintainability, and performance. Use Dune at an expert level to investigate DEX aggregators, DEXes, swaps, liquidity, routing, users, protocols, and markets, building reusable on-chain datasets and analytical models. Combine blockchain, product, and business data to create a comprehensive view of users, ecosystem activity, and market dynamics, and continuously explore new data sources and analytical approaches. Who you are Deep understanding of DeFi and blockchain data, particularly DEXes and DEX aggregators, including swaps, liquidity, routing, transactions, events, traces, and smart-contract interactions. Expert-level Dune skills, with advanced SQL proficiency and demonstrated experience building sophisticated on-chain queries, datasets, dashboards, and analyses. Strong AI-native way of working, with advanced hands-on experience using Cursor to accelerate analytics and engineering, automate workflows, and build AI-enabled data solutions. Strong proficiency in Python for data analysis, data processing, automation, and AI-enabled workflows. Hands-on experience building and operating modern data platforms with ClickHouse and Airflow, including data modeling, pipelines, transformations, data quality, and observability. Proven ability to turn ambiguous business and product questions into structured hypotheses, robust analyses, and clear, actionable answers. Nice to haves Experience working directly within a DEX, DEX aggregator, DeFi protocol, or other data-intensive Web3 product. Experience working with raw multi-chain blockchain data, including decoding contracts, events, traces, and transactions. Experience applying statistical methods, experimentation, forecasting, or anomaly detection to product and business questions. A strong public track record in the DeFi data ecosystem, such as high-quality Dune dashboards, research, open-source contributions, or community analytics.

Location: United Kingdom, Remote Workplace: remote Olo is a leading SaaS platform accelerating digital transformation in the restaurant industry, by helping customers deliver more personalized and profitable guest experiences. As a result, our digital ordering, payment, and guest engagement solutions enable brands to do more with less and make every guest feel like a regular. This role is fully remote, offering you flexibility to work from anywhere within the UK. Your new role As a Senior Implementation Specialist, reporting directly to the Senior Manager, Implementation, you'll play a pivotal role in Olo's Customer Experience Team, helping to guide new and existing restaurant brands as they join the Olo Platform, or expand their tech stack. You will contribute to the evolution of Olo’s Engage Suite by leveraging your product and industry knowledge to support the unique goals and business processes of our customers. You'll also provide increasingly complex product expertise to customers, and collaborate with Project Managers, Technical Specialists, Product Managers, Support, and Leadership teams. You are experienced in standard implementations and upsells, have a focus on providing great hospitality, and are a model of the art of collaboration. How You’ll Make An Impact Leads execution of a portfolio of projects with varying levels of complexity through the lens of your respective product domains. Is adaptable to defined processes to ensure successful customer outcomes. Effectively partners with cross functional teams responsible for all stages of implementation projects including customers and Olo functional representatives to ensure cohesive communication. Acts as a subject matter expert for specific products to efficiently and autonomously guide customers through product adoption. Champions customer’s needs when working with multiple stakeholders on project execution. Working with the customer, provides troubleshooting and support for customer implementations addressing issues where possible and/or escalating according to established protocol with cross-functional teams. Remains up to date on product changes and updates and understands the impact to the business and customer experience. At times, provides recommendation on initiatives to improve implementation velocity in collaboration with Olo leadership and the Implementation Team. May provide insights to product teams that help improve product functionality in response to customer feedback or experiences with implementation. May be required to conduct work associated with Professional or Managed Services agreements. What Will Set You Up For Success 3+ years experience managing customer relationships, relevant project or account management work, or integration implementation work. Experience creating an excellent customer experience and demonstrated ability to advocate for customers. Awareness of project management practices, including ability to self manage towards critical deadlines by leveraging internal stakeholders and/or external partners. Demonstrated experience training relevant customers stakeholders on product best practices to support strong program performance. Demonstrated ability to solve problems using available resources, and thoughtfully explain problems and resolutions. Demonstrated capacity to consume technical details at varying levels of complexity to successfully accomplish project objectives. Preferred experience with Asana, Jira, Salesforce, Google Suite, and Zendesk. Familiarity with Loyalty and Marketing SaaS products is a plus. Other Requirements Ability to be on-call after-hours and weekends or work a non-traditional shift, as business needs arise. About Olo Olo is a leading restaurant technology provider with ordering, payment, and guest engagement solutions that help brands increase orders, streamline operations, and improve the guest experience. Each day, Olo processes millions of orders on its open SaaS platform, gathering the right data from each touchpoint into a single source—so restaurants can better understand and better serve every guest on every channel, every time. Over 800 restaurant brands trust Olo and its network of more than 400 integration partners to innovate on behalf of the restaurant community, accelerating technology’s positive impact and creating a world where every restaurant guest feels like a regular. Learn more at olo.com. Applicant Privacy Notice (United Kingdom)

Location: Lithuania Workplace: fully About the Client Our client is a provider of online payment processing solutions, focusing on a range of services including payment gateway services, global payment processing, and open banking. They serve online businesses across various sectors, supporting multiple currencies and payment methods. Role Overview As a Data Engineer , you will have the opportunity to work with cutting-edge technologies and make a significant impact on data processes within the fintech sector. This role involves developing scalable data pipelines, optimizing data infrastructure, and collaborating with cross-functional teams to ensure data accuracy and quality. Key Responsibilities Work with various data sources and integrate them into internal systems. Develop, optimize, and maintain ETL pipelines and data ingestion processes. Take ownership of data lakes, including their maintenance and documentation. Transform complex data structures into machine-readable formats. Design and maintain databases and data infrastructure. Work closely with other departments to verify the relevance, quality, and accuracy of data. Identify opportunities to improve the reliability and efficiency of existing data processes. Requirements Strong proficiency in Python and advanced SQL. Hands-on experience designing, building, and maintaining scalable data pipelines and data processing solutions. Strong experience with ETL/ELT processes, including data ingestion, transformation, integration, and orchestration. Practical experience with Apache Spark for large-scale data processing. Experience with Apache Kafka and event-driven/streaming data pipelines. Hands-on experience with database design, data modeling, optimization, and performance tuning. Practical experience with AWS cloud services and cloud-based data infrastructure. Experience with Apache Airflow for workflow orchestration and scheduling. Practical experience with Docker and containerized environments. Strong knowledge of Git and modern software development workflows. Solid understanding of data architecture, data quality, reliability, scalability, and data engineering best practices. Ability to write clean, efficient, testable, and maintainable code. Strong analytical, problem-solving, and critical-thinking skills with excellent attention to detail. Ability to work independently, prioritize effectively, and manage multiple tasks in a fast-paced environment. Languages: English, Russian Experience in fintech Key Soft Skills Strong analytical and problem-solving skills with excellent attention to detail. Ownership mindset, proactivity, and ability to work independently and manage priorities. Strong communication and collaboration skills with the ability to work effectively across teams. What We Offer Competitive salary aligned with experience Collaborative and transparent team culture High-impact role in a scaling fintech company Recognition of personal milestones and achievements Social benefits

Location: Serbia Workplace: fully About the Client Our client is a provider of online payment processing solutions, focusing on a range of services including payment gateway services, global payment processing, and open banking. They serve online businesses across various sectors, supporting multiple currencies and payment methods. Role Overview As a Data Engineer , you will have the opportunity to work with cutting-edge technologies and make a significant impact on data processes within the fintech sector. This role involves developing scalable data pipelines, optimizing data infrastructure, and collaborating with cross-functional teams to ensure data accuracy and quality. Key Responsibilities Work with various data sources and integrate them into internal systems. Develop, optimize, and maintain ETL pipelines and data ingestion processes. Take ownership of data lakes, including their maintenance and documentation. Transform complex data structures into machine-readable formats. Design and maintain databases and data infrastructure. Work closely with other departments to verify the relevance, quality, and accuracy of data. Identify opportunities to improve the reliability and efficiency of existing data processes. Requirements Strong proficiency in Python and advanced SQL. Hands-on experience designing, building, and maintaining scalable data pipelines and data processing solutions. Strong experience with ETL/ELT processes, including data ingestion, transformation, integration, and orchestration. Practical experience with Apache Spark for large-scale data processing. Experience with Apache Kafka and event-driven/streaming data pipelines. Hands-on experience with database design, data modeling, optimization, and performance tuning. Practical experience with AWS cloud services and cloud-based data infrastructure. Experience with Apache Airflow for workflow orchestration and scheduling. Practical experience with Docker and containerized environments. Strong knowledge of Git and modern software development workflows. Solid understanding of data architecture, data quality, reliability, scalability, and data engineering best practices. Ability to write clean, efficient, testable, and maintainable code. Strong analytical, problem-solving, and critical-thinking skills with excellent attention to detail. Ability to work independently, prioritize effectively, and manage multiple tasks in a fast-paced environment. Languages: English, Russian Experience in fintech Key Soft Skills Strong analytical and problem-solving skills with excellent attention to detail. Ownership mindset, proactivity, and ability to work independently and manage priorities. Strong communication and collaboration skills with the ability to work effectively across teams. What We Offer Competitive salary aligned with experience Collaborative and transparent team culture High-impact role in a scaling fintech company Recognition of personal milestones and achievements Social benefits

Location: Portugal Workplace: fully About the Client Our client is a provider of online payment processing solutions, focusing on a range of services including payment gateway services, global payment processing, and open banking. They serve online businesses across various sectors, supporting multiple currencies and payment methods. Role Overview As a Data Engineer , you will have the opportunity to work with cutting-edge technologies and make a significant impact on data processes within the fintech sector. This role involves developing scalable data pipelines, optimizing data infrastructure, and collaborating with cross-functional teams to ensure data accuracy and quality. Key Responsibilities Work with various data sources and integrate them into internal systems. Develop, optimize, and maintain ETL pipelines and data ingestion processes. Take ownership of data lakes, including their maintenance and documentation. Transform complex data structures into machine-readable formats. Design and maintain databases and data infrastructure. Work closely with other departments to verify the relevance, quality, and accuracy of data. Identify opportunities to improve the reliability and efficiency of existing data processes. Requirements Strong proficiency in Python and advanced SQL. Hands-on experience designing, building, and maintaining scalable data pipelines and data processing solutions. Strong experience with ETL/ELT processes, including data ingestion, transformation, integration, and orchestration. Practical experience with Apache Spark for large-scale data processing. Experience with Apache Kafka and event-driven/streaming data pipelines. Hands-on experience with database design, data modeling, optimization, and performance tuning. Practical experience with AWS cloud services and cloud-based data infrastructure. Experience with Apache Airflow for workflow orchestration and scheduling. Practical experience with Docker and containerized environments. Strong knowledge of Git and modern software development workflows. Solid understanding of data architecture, data quality, reliability, scalability, and data engineering best practices. Ability to write clean, efficient, testable, and maintainable code. Strong analytical, problem-solving, and critical-thinking skills with excellent attention to detail. Ability to work independently, prioritize effectively, and manage multiple tasks in a fast-paced environment. Languages: English, Russian Experience in fintech Key Soft Skills Strong analytical and problem-solving skills with excellent attention to detail. Ownership mindset, proactivity, and ability to work independently and manage priorities. Strong communication and collaboration skills with the ability to work effectively across teams. What We Offer Competitive salary aligned with experience Collaborative and transparent team culture High-impact role in a scaling fintech company Recognition of personal milestones and achievements Social benefits

Location: Poland Workplace: fully About the Client Our client is a provider of online payment processing solutions, focusing on a range of services including payment gateway services, global payment processing, and open banking. They serve online businesses across various sectors, supporting multiple currencies and payment methods. Role Overview As a Data Engineer , you will have the opportunity to work with cutting-edge technologies and make a significant impact on data processes within the fintech sector. This role involves developing scalable data pipelines, optimizing data infrastructure, and collaborating with cross-functional teams to ensure data accuracy and quality. Key Responsibilities Work with various data sources and integrate them into internal systems. Develop, optimize, and maintain ETL pipelines and data ingestion processes. Take ownership of data lakes, including their maintenance and documentation. Transform complex data structures into machine-readable formats. Design and maintain databases and data infrastructure. Work closely with other departments to verify the relevance, quality, and accuracy of data. Identify opportunities to improve the reliability and efficiency of existing data processes. Requirements Strong proficiency in Python and advanced SQL. Hands-on experience designing, building, and maintaining scalable data pipelines and data processing solutions. Strong experience with ETL/ELT processes, including data ingestion, transformation, integration, and orchestration. Practical experience with Apache Spark for large-scale data processing. Experience with Apache Kafka and event-driven/streaming data pipelines. Hands-on experience with database design, data modeling, optimization, and performance tuning. Practical experience with AWS cloud services and cloud-based data infrastructure. Experience with Apache Airflow for workflow orchestration and scheduling. Practical experience with Docker and containerized environments. Strong knowledge of Git and modern software development workflows. Solid understanding of data architecture, data quality, reliability, scalability, and data engineering best practices. Ability to write clean, efficient, testable, and maintainable code. Strong analytical, problem-solving, and critical-thinking skills with excellent attention to detail. Ability to work independently, prioritize effectively, and manage multiple tasks in a fast-paced environment. Languages: English, Russian. Experience in fintech. Key Soft Skills Strong analytical and problem-solving skills with excellent attention to detail. Ownership mindset, proactivity, and ability to work independently and manage priorities. Strong communication and collaboration skills with the ability to work effectively across teams. What We Offer Competitive salary aligned with experience Collaborative and transparent team culture High-impact role in a scaling fintech company Recognition of personal milestones and achievements Social benefits

Location: Remote Workplace: Remote As a Referral PCC, you will be the first point of contact for patients referred to Talkiatry by our trusted network of partners, and you'll also manage the outbound side of referrals - coordinating when Talkiatry patients need to be referred out to partner organizations for services outside our scope of care. This is a patient-facing role that blends administrative efficiency, sales acumen, and cross-organizational coordination to keep referrals moving smoothly in both directions. The successful candidate must be available to work one of the following shifts: 8:00am-4:30pm EST 10:30am-7:00pm EST   ABOUT TALKIATRY: Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care.   Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 900+ psychiatrists, 400+ therapists, and more than 4 million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America.   Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose. YOU WILL: - Inbound Referral Outreach & Scheduling - Manage referral workflow by initiating outreach on all referrals not yet scheduled and tracking outcomes accurately - Manage a high volume of outbound calls in a fast-paced environment - Contact referred patients via phone, text, and email to explain next steps, highlight the value of care with Talkiatry, and assist with scheduling - Use motivational interviewing techniques to address concerns, build urgency, and motivate patients to schedule their psychiatric evaluations - Coordinate scheduling using internal scheduling tools and match patients with appropriate Talkiatry psychiatrists based on need, geography, and insurance - Send self-scheduling links, follow up, and troubleshoot scheduling barriers (insurance questions, availability, etc.) - Outbound Referral Coordination - Manage the outbound referral process for Talkiatry patients being referred to partner organizations for services outside Talkiatry's scope of care (e.g., higher level of care, specialized programs, community resources) - Communicate directly with patients about the outbound referral: explaining why the referral is being made, what to expect, and next steps for connecting with the receiving partner - Coordinate with the partner organization to confirm receipt of the referral, submit any required documentation, and track the patient's status through intake - Keep the Talkiatry referring provider updated on the status of the outbound referral, including confirmation of receipt, scheduling outcomes, and any barriers encountered - Follow up with patients and partners to close the loop on outbound referrals, ensuring patients don't fall through the cracks between organizations - Document all outbound referral activity accurately in internal systems to maintain a clear audit trail for the care team YOU HAVE: - 1–3 years' experience in healthcare coordination, patient intake, call center, or referrals - Experience coordinating care or referrals across multiple organizations or provider networks a plus - Ability to communicate clearly, both verbally and in writing - Sales or customer retention experience strongly preferred (e.g., upselling, rebooking, or high-volume conversion roles) - Strong phone presence, empathy, and a persuasive communication style - Comfortable working with CRMs, EHRs (eClinicalWorks), ticketing systems (Zendesk/ServiceNow) - Ability to multitask and work efficiently in high-volume environments - Must be organized, responsive, and detail-oriented with strong follow-through WHY TALKIATRY: - Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care - Collaborative environment: be part of building something from the ground up at a fast-paced startup   - Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more! - Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands - It all comes back to care: we’re a mental health company, and we put our team’s well-being first  Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FEVerifyParticipationPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qFgJNzh246Js%2FFqdsb9OZgN55rg5GpsB0wjiTvkPn9w%3D&reserved=0 & IER Right to Work https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FIER_RighttoWorkPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ivUqrPtiBjGVkMzpMBSYalwvm2Zxhj%2BScqVUX2OfqUA%3D&reserved=0.      At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us.     We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.

Location: Remote Workplace: Remote As a Patient Care Coordinator, you will serve as a key point of contact for our clinicians, providing high-quality support across administrative, customer service, and workflow navigation needs. You will manage and prioritize a high volume of inquiries, resolving requests independently when appropriate and partnering with cross-functional teams to ensure timely and effective resolution. You will leverage multiple communication channels including phone, chat, email, and SMS, to execute objectives, facilitate timely resolution, and provide a seamless support experience for our clinicians. Success in this role requires a strong commitment to operational excellence, service quality, and stakeholder experience. You will be expected to consistently deliver a high standard of service that strengthens the clinician experience, supports patient care, and reflects Talkiatry’s commitment to excellence. The successful candidate must be available to work one of the following shifts: 8:00am-4:30pm EST 9:30am-6:00pm EST 10:30am-7:00pm EST   ABOUT TALKIATRY: Talkiatry is transforming mental health care by making high-quality psychiatry more accessible, human, and sustainable for both patients and clinicians. Co-founded by a patient and a triple-board-certified psychiatrist, we were built to solve one of healthcare’s most urgent challenges: millions of people struggle to access mental health care, while clinicians face growing administrative burden and burnout. Through our technology-powered, in-network platform, we’re changing that, creating a better experience for patients and empowering clinicians to focus on delivering exceptional care.   Today, Talkiatry is the largest dedicated psychiatry practice in the U.S., with 900+ psychiatrists, 400+ therapists, and more than 4 million patient visits delivered nationwide. At our scale, every innovation has real impact. Every workflow we improve, every technology solution we build, and every patient experience we redesign helps thousands of clinicians provide better care to hundreds of thousands of patients. We’re not just growing quickly — we’re redefining how behavioral healthcare is delivered in America.   Joining Talkiatry means joining a mission-driven team that is solving complex problems at scale, driving meaningful change in healthcare, and building the future of mental health care with compassion, innovation, and purpose. YOU WILL: - Answer incoming inquiries from patients, answer questions, and schedule appointments - Make outbound phone calls to patients, pharmacies, and insurance companies - Create and triage tickets in ServiceNow - Ensure that providers are scheduled for best use of time - Schedule appointments as needed in eClinicalWorks - Support clinicians via Microsoft Teams Chat to: - Schedule patient follow-up appointments - Reach out to patients who are late to tele visits - Send referral information to patients - Send discharge letters - Monitor and complete tickets in ServiceNow to: - Inform patients of insurance benefits - Respond to patient inquiries - Add copies of insurance cards/IDs to patient documents - Troubleshoot minor technological issues or escalate them to our helpdesk DESIRED COMPETENCIES - Strong written and verbal communication skills - Excellent customer service skills - Ability to multitask while maintaining accuracy - Enjoy working in team-based environment YOU HAVE: - Experience providing phone, email and chat-based customer service - Experience answering phones and multitasking in a fast-paced environment - Experience scheduling appointments - Medical Reception experience and experience using an Electronic Health Record (EHR) is a plus, but not required - Microsoft Office (M365), plus if you have worked with Microsoft Teams WHY TALKIATRY: - Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care - Collaborative environment: be part of building something from the ground up at a fast-paced startup   - Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more! - Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands - It all comes back to care: we’re a mental health company, and we put our team’s well-being first  Talkiatry participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. only after a job offer is accepted and Form I-9 is completed. For more information on E-Verify, please visit the following: EVerify Participation https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FEVerifyParticipationPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=qFgJNzh246Js%2FFqdsb9OZgN55rg5GpsB0wjiTvkPn9w%3D&reserved=0 & IER Right to Work https://nam12.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.e-verify.gov%2Fsites%2Fdefault%2Ffiles%2Feverify%2Fposters%2FIER_RighttoWorkPoster.pdf&data=05%7C01%7Cjill.steger%40talkiatry.com%7Cfe829943872e4bc8dc7b08db83d3c99d%7C803a6c90ec724384b2c01a376841a04b%7C0%7C0%7C638248717875458398%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=ivUqrPtiBjGVkMzpMBSYalwvm2Zxhj%2BScqVUX2OfqUA%3D&reserved=0.      At Talkiatry, we are an equal opportunity employer committed to a diverse, inclusive, and equitable workplace and candidate experience. We strive to create an environment where everyone has a sense of belonging and purpose, and where we learn from the unique experiences of those around us.     We encourage all qualified candidates to apply regardless of race, color, ancestry, religion, national origin, sexual orientation, age, citizenship, marital or family status, disability, gender, gender identity or expression, pregnancy or caregiver status, veteran status, or any other legally protected status.

Location: London, England 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 to redefine the future of on-demand delivery. To do this, we're building a world-class Finance Engineering (FinEng) organization across all global markets we support at DoorDash, Deliveroo and Wolt. in which each of our product managers plays a critical role in helping to define and execute our vision to move money accurately and at scale across every market we operate in and ensure finance and accounting compliance. As we grow, billions of dollars in money movements flow through our platform every year and our team makes sure every one of them is understood, trusted, and correctly reflected in the financial books. About the Role Product Managers on the Finance Engineering team need a systems-oriented mindset, platform thinking, and strong cross-functional collaboration. In this role, you will define the strategy and vision for systems that track billions of dollars in company-wide money movement, translate transactions into accounting entries, and accelerate the financial close. You will build scalable, audit-ready automation for complex, high-volume financial activity. This is an opportunity to reshape modern accounting by applying AI to reconciliation, investigations, and incident detection and mitigation. Your products will form a critical part of the company’s financial infrastructure and help earn the confidence of leadership, auditors, and regulators. You're excited about this opportunity because you will… Drive the product definition, strategy, and long-term vision for accounting automation. You own the roadmap Build systems that track billion-dollar-level money movements across the entire company and automatically convert them into accurate accounting entries Reinvent and accelerate the accounting close process, reducing manual effort and shortening close timelines Champion AI-driven approaches to transform close reconciliation, financial investigations, and incident detection and mitigation Partner with FinEng, Accounting, and Finance leaders to translate complex financial and regulatory requirements into scalable, automated products Work closely with cross-functional teams of engineers, designers, data scientists, accountants, and operators Communicate product plans, benefits, and results to key stakeholders including the leadership team We're excited about you because… You have a track record in product management, including driving product strategy, vision, and roadmap alignment You have built complex, back-end, data-intensive, or platform products. Ideally in fintech, payments, accounting, or financial systems You have a strong grasp of accounting concepts (e.g. double-entry, ledgers, reconciliations, the close process) and how financial data flows through complex system You do your best work with range: global platform thinking alongside the accounting reality of a specific brand or market You're an execution power-house who thrives in ambiguity and operates at the lowest level of detai You are excited about applying AI/ML to real-world financial problems such as reconciliation, investigation, and incident mitigation You have experience presenting business reviews to senior executives You have empathy for the users you build for, including accountants, controllers, and finance operators You are motivated by building financial infrastructure that works across DoorDash, Deliveroo, and Wolt 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. 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 . 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 .