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Location: London, United Kingdom - Deliveroo Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. 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. About the team Deliveroo connects millions of consumers with the restaurants and brands they love. Our Integrated Marketing team sits at the heart of how we bring those relationships to life — combining customer insight, commercial opportunity and creativity to drive growth for Deliveroo and our partners. Within Central Integrated Marketing, the Merchant & Ads team sets the global strategy for how we partner with merchants to help them grow on our marketplace and create compelling reasons for consumers to choose Deliveroo. This is an opportunity to shape Deliveroo’s global approach to merchant partnerships, building high-impact collaborations with some of the world’s most recognised and loved brands. This will be a hybrid role - working 3 days a week from our London HQ. About the role Owns the New Verticals merchant and ads marketing strategy end to end, reporting into the Merchant & Ads Integrated Marketing Director. Responsible for the creation and deployment of New Verticals merchant marketing playbooks across co marketing, promotions, and ads. Responsible for the creation and deployment of the New Verticals sell in strategy and associated sell in materials for adoption by local teams. Supports local marketing teams with key enterprise merchant relationships at the global level, and supports local New Verticals marketing initiatives. What you'll be doing Ads & Monetization Strategy Own the New Verticals specific ads and monetization strategy across owned and external surfaces, feeding into the global monetization strategy. Lead pricing, packaging, and investment decisions for merchant advertising in your category, in partnership with Commercial and Finance. Category Playbook: New Verticals Own and evolve the New Verticals merchant marketing playbook, setting how co marketing, promotions, and advertising work for grocery and retail merchants globally. Lead change initiatives that improve how New Verticals merchant marketing works, bringing Local Integrated Marketing and Functional Marketing along with you. Key Merchant Relationship Management Support local marketing teams with key enterprise merchant relationships at the global level, and support delivery of priority New Verticals marketing initiatives with those merchants. Act as the senior escalation point for merchant issues that cross multiple markets or functions. Cross Functional Stakeholder Management Serve as the primary marketing partner to Merchant S&O and Commercial for New Verticals, translating category priorities into marketing and ads strategy. Represent New Verticals in cross functional forums, shaping the roadmap for merchant facing and ads facing surfaces. Sell In Strategy & Sales Enablement Own the sell-in strategy for New Verticals merchant and ads programmes, defining how Commercial and Local teams pitch these programmes to merchants. Oversee the sell in materials, case studies, and proof points for New Verticals, using performance data to continuously refine them. Central Strategy & Market Coordination Own delivery of the New Verticals merchant marketing goals, coordinating a consistent strategy across all Deliveroo markets. Report on New Verticals merchant and ads marketing performance to senior stakeholders, own specific business metrics, and lead course correction when needed. Requirements 7+ years of marketing experience, ideally including merchant marketing, retail media, ads, or category marketing in a consumer or marketplace business. Track record of owning the marketing strategy for an entire team or category, and resolving complex delivery challenges that span multiple teams or functions. Experience managing people, and comfortable managing other people managers as your team grows. Strong commercial acumen, seen as a go to expert for merchant or ads marketing, using business and financial data to make sound decisions in ambiguous situations. Confident communicator, able to present complex ideas to large groups and flex your style for directors and department leadership. Skilled at establishing and owning cross functional partnerships, using relationships and creative thinking to work through conflict. Proven ability to lead change initiatives that improve how a team or category works, bringing others along with you. Excellent written and verbal communication skills, with the ability to synthesise complex, cross functional inputs into a clear plan and narrative. 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: 🔧 Make a visible impact every day Your work directly improves experiences for customers, partners and riders. 🌱 Learn fast in an entrepreneurial environment Work close to the market with autonomy, pace and real responsibility. 🧠 Build a career, not just a role Stretch yourself, develop new skills and grow as the business evolves. 🌎 Deliver together in an inclusive culture Collaborative, values-driven teams that support how you work best. We aim to create a fair process that lets your skills shine—our interview typically includes 3-4 stages. Find more about how we hire here. Diversity, Equity and Inclusion At Deliveroo, we know that a great workplace reflects the world around us and that true diversity and inclusion make us stronger, more creative, and better at what we do. We’re committed to fostering an environment where everyone can do their best work and feel they belong. We believe in equality of opportunity and welcome candidates from all backgrounds regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion, or belief. If you have a disability or long-term health condition and need support to apply for one of our roles, or require any reasonable adjustments during the recruitment process, you’ll have the opportunity to let us know once you’ve submitted your application. We’ll share details on how to request support so we can ensure you have a fair and equitable experience. If you’re excited about making a real impact in a fast-moving marketplace and growing your career alongside ambitious, supportive teams, we’d love to hear from you! Beware of recruitment scams: DASH Brands will never ask you to pay money or share sensitive financial information during hiring — learn more about DASH Brands' legitimate recruiting process at careersatdoordash.com/recruitment-scam-awareness .

Location: San Francisco, CA; Chicago, IL; Austin, TX; Atlanta, GA; Tampa, FL; Seattle, WA; Boston, MA; New York, NY; San Diego, CA; Washington DC; Los Angeles, CA Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE We’re hiring a Senior Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. You’ll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. You’ll also help define what world-class technical support looks like for modern AI platforms KEY RESPONSIBILITIES - Be the go-to escalation point for technical support inquiries—diagnosing issues across customer setup, LangChain products, and deployment issues. - Work directly with engineering, operations, documentation, and product teams to resolve bugs, suggest patches, and advocate for customer needs. - Partner with Deployed Engineering to support critical enterprise customers. - Build and refine internal tooling, diagnostics, and runbooks for complex issue triage. - Lead post-mortems for critical incidents and feed learnings back into product and documentation. - Help refine KPIs for support health (MTTR, CSAT, bug recurrence) and drive continuous improvement. - Improve documentation and knowledge articles to improve 1-to-many resources and provide proactive support. - Mentor and coach other support engineers. HOW TO BE SUCCESSFUL IN THIS ROLE - 6+ years in technical support, solutions engineering, or SRE roles in deeply technical B2B environments (e.g., observability, infrastructure, data platforms). - Expert troubleshooting skills across APIs, SDKs, distributed systems, and cloud-native stacks. - Programming experience with Python. Bonus if you have TypeScript experience. - Hands-on knowledge of Kubernetes and Docker - Comfort working with logs, traces, metrics in Datadog, and 3rd-party integrations (e.g., OpenTelemetry, LLM providers). - Experience supporting enterprise customers and collaborating with engineering on complex escalations. - A bias for clarity and continuous improvement: you write succinct, helpful, and accurate responses and build a foundation for case deflection. - High ownership — want to do what’s best for the customer and the company and are relentlessly results oriented Location: Remote COMPENSATION - Annual salary range: $130,000 - $195,000 USD + equity 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: Washington DC Workplace: Remote ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. Today, LangChain, LangGraph, LangSmith, and Agent Builder are used by teams shipping real AI products across startups and large enterprises. Millions of developers trust LangChain to power AI teams at companies like Replit, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, and 35% of the Fortune 500. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. ABOUT THE TEAM The LangChain Deployed Engineering - Federal team works directly with U.S. Government customers — including the Department of Defense (DoD), Civilian Agencies, and the Intelligence Community (IC) — who are building and operating AI agents in mission-critical environments. This is a hands-on, highly technical team that partners closely with government engineers, technical program managers, and system integrators across the full lifecycle — from pre-award technical shaping and evaluations to post-deployment advisory work in secure environments. The focus is on achieving the technical win, architecting secure and compliant agent systems, and enabling agencies to operate AI agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, security, and go-to-market. You will shape how LangChain is adopted across classified and unclassified environments, ensuring alignment with federal compliance requirements while feeding mission-driven insights back into the platform. ABOUT THE ROLE As a Deployed Engineer, you’ll work on some of the hardest problems in applied AI — not demos or experimental research, but production systems supporting real-world missions. You’ll help defense, civilian, and intelligence customers design, deploy, and operate AI agents in secure, regulated, and high-stakes environments. The feedback loop is fast, the mission impact is tangible, and your work directly influences how AI agents are deployed across the federal landscape. You will operate in environments that demand security, reliability, compliance (FedRAMP, IL levels, etc.), and operational rigor. WHAT YOU’LL DO - Co-architect and co-build production AI agents with federal engineering teams and system integrators - Own the technical win in federal pre-sales engagements by designing secure POCs, supporting RFI/RFP technical responses, and guiding technical evaluations - Design architectures that meet federal security and compliance requirements (FedRAMP, DoD IL2–IL6, NIST, etc.) - Help agencies deploy and operate agent-based applications such as mission support copilots, intelligence analysis agents, research automation systems, and multi-step operational workflows - Advise customers post-award on architecture, scalability, observability, evaluation, and long-term roadmap decisions - Deliver technical demos, workshops, and enablement sessions tailored to government developer and operator audiences - Partner with security teams to navigate ATO processes and accreditation pathways - Surface field feedback from federal use cases and contribute reusable patterns, secure deployment guides, and example code that scale across agencies - Occasionally contribute code upstream when it meaningfully improves federal customer outcomes WHAT YOU’LL BRING - Must have zctive or prior U.S. security clearance (Secret, TS/SCI) - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, product engineering), ideally supporting federal or regulated customers - Experience working with DoD, Civilian Agencies, Intelligence Community, or federal system integrators - Strong Python and JavaScript fundamentals, with deep systems thinking - Experience designing agent-based or LLM-powered systems beyond simple API calls, including multi-step workflows, orchestration, guardrails, and failure handling - Familiarity with secure cloud environments (AWS GovCloud, Azure Government, etc.) - Comfort operating in regulated environments with security, compliance, and documentation requirements - Experience supporting technical evaluations, architecture reviews, and competitive down-select processes - Ability to clearly explain technical tradeoffs to government stakeholders and build trust across engineering and program leadership - Ownership mindset — you take responsibility for mission outcomes, not just recommendations - Bias toward action and comfort operating in ambiguity - Excitement about running AI agents in real-world, production federal environments — not just building demos NICE TO HAVE - Experience deploying AI systems in classified or air-gapped environments - Familiarity with FedRAMP authorization processes or DoD Impact Levels (IL2–IL6) - Experience with LLM evaluation, observability, red-teaming, or guardrails in high-assurance settings - Hands-on experience with AWS, Azure, containers, Kubernetes, and secure networking architectures - Experience working alongside federal system integrators (Booz Allen, SAIC, Leidos, etc.) - Production experience with LangChain, LangGraph, or similar agent frameworks COMPENSATION & BENEFITS We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. Benefits include things like medical, dental, and vision coverage, flexible vacation, a 401(k) plan, and life insurance. Actual compensation and offerings will vary based on role, level, and location. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Annual OTE range: $185,000–$300,000 USD 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: Boston, MA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $185,000–$300,000 USD 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: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM The Deployed Engineering team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Deployed Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform. ABOUT THE ROLE The Deployed Engineer…You’ll work on some of the hardest problems in applied AI — not demos, not research, but systems that real teams depend on in production. The feedback loop is fast, the impact is visible, and the work you do directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $185,000-$315,000 USD 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: US, San Diego, CA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. About The Role As Director of Autonomy at Humanoid, you will lead the team that teaches our bipedal platform to perform locomanipulation tasks in homes and service environments: tidying a room, loading and unloading a dishwasher, putting groceries away, folding laundry, and similar tasks. The output of your team is capabilities that run reliably on real robots and pass our evals, not papers or one-off demos. This is a player-coach role: you own the roadmap, hiring, and delivery, while also training policies, curating data, and debugging failures on the robot yourself. That hands-on work is how you lead: it's how you find what slows the team down and fix it for everyone. This role sits at the intersection of applied deep learning, robotics, and people leadership, working closely with the Controls team on whole-body teleoperation and combining RL controllers with learned policies, and with the Core Technology team on foundation model pre-training for five-finger dexterity and RL methods. If you have hands-on experience with real robot hardware, a track record in applied deep learning, and have led engineers doing this kind of work, we want to hear from you. What You'll Do - Own The Capability Roadmap: Work with product to identify use-case priority, choose the execution strategy, define the evals, and deliver on the agreed timeline. - Lead The Team: Hire, develop, and manage a team of robot learning engineers; set engineering and experimental standards; run day-to-day prioritization. - Co-Own The System 0/1 Interface: Agree with the Controls team on what the policy commands (end-effector targets, root velocity, pelvis height, foot targets, hand joint targets), debug failures across that boundary, and push requirements into the whole-body control roadmap. - Partner On Data Strategy: Specify what good data looks like for bipedal locomanipulation with data collection and external acquisition organizations, ensure diversity and coverage, iterate on operator instructions, and supervise collection on the biped. - Drive Sim-To-Real Transfer: Work with the Simulation team to set up RL training on the digital twin for bipedal tasks, then iterate on reward and simulation quality to ensure transfer to the real world. - Shape Base Model Development: Feed bipedal requirements — embodiment coverage in the pretraining mixture, action representations, latency budgets — into the VLA Core Technology team's base model development, and adopt new base models as they land. - Inform Hardware Design: Interface with the Hardware Design team so findings about hands, arms, and legs on the current generation are reflected in future designs. - Report On Progress: Communicate progress to leadership in terms of capabilities working on the robot, eval results, and failure analysis. WHAT WE'RE LOOKING FOR - 5+ years working on robots (industry or research) with shipped artifacts to show for it, including learned manipulation or locomanipulation policies deployed on real hardware. - Experience leading a team of 5+ engineers doing applied robot learning, including hiring and people management, with capabilities delivered to a deadline. - Hands-on today: you've trained and debugged policies within the last year and intend to keep doing so, and can curate data, post-train a policy, and diagnose failures without delegating that work. - Experience post-training VLA-class policies (autoregressive, diffusion, or flow-matching based) via behavior cloning and/or RL. - Solid understanding of the modern teleoperation and low-level control stack — whole-body control, inverse kinematics, RL locomotion controllers — and the ability to tell whether a failure lives in the policy, the controller, or the data. - Familiarity with deep learning infrastructure: streaming datasets, checkpointing and state management, distributed training, PyTorch or JAX. - Strong grounding in modern software engineering practices, with the ability to document experiments clearly and communicate trade-offs crisply to engineers and leadership. NICE TO HAVE - Experience with multi-fingered dexterous hands: teleoperation and retargeting, tactile sensing, in-hand manipulation. - Experience with legged platforms: bipedal locomotion, whole-body control, humanoid teleoperation. - Experience applying RL to robotics problems in simulation or on real robots. - Familiarity with Physical Intelligence (π) models, NVIDIA GR00T, or similar open VLA frameworks. - Publications at top-tier robotics or deep learning conferences (CoRL, RSS, ICRA, NeurIPS) or equivalent open-source contributions. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in California, the expected base salary range is $300,000-$450,000 USD per year; your placement in that range depends on how experience maps to our internal leveling.

Location: Americas Remote About Customer.io Over 9,000 companies — from scrappy startups to global brands — use our platform to send billions of emails, push notifications, in-app messages, and SMS every day. Customer.io powers automated communication that people actually want to receive. We help teams send smarter, more relevant messages using real-time behavioral data. About the role Hi, my name is Caitlin, Senior Manager, Technical Support at Customer.io , and I'm looking for an Email Deliverability Specialist to join our deliverability program within Technical Support. You'll help customers reach the inbox by diagnosing sending issues, advising on best practices, and guiding senders through an email ecosystem that keeps changing. You'll be one of several deliverability experts on a team that shares knowledge across Technical Support, so your work reaches well beyond your own queue. You'll partner with Customer Success, Technical Support, and Engineering: taking customer calls, equipping CSMs for customer conversations, working through complex technical cases alongside Engineering, and turning what you see in tickets into documentation, training, and better processes. You'll thrive here if you think about the health of the whole program, enjoy improving how work gets done, and are equally comfortable digging into a detailed case and having a direct conversation with a customer about acceptable use. What we value Empathy and curiosity: You approach every customer with patience and a desire to dig deeper, especially when a conversation gets uncomfortable. Clarity: You explain complex technical concepts simply and help others do the same. Collaboration: You build strong partnerships across Support, Customer Success, and Engineering, and you treat customer outcomes as a shared goal. Thinking at scale: You look at how we do things today and see what could work better for the whole organization, then you help make it happen. Continuous learning: You stay ahead of evolving standards and see change as a chance to improve how we work. What you'll do Act as a trusted deliverability advisor to customers, handling complex cases through to full resolution and leading customer calls when a conversation needs it Audit sender setup and monitor reputation across IPs and domains, using authentication (SPF, DKIM, DMARC) and BIMI, DNS configuration, and provider tools like Google Postmaster Tools, Yahoo Sender Hub, and Microsoft SNDS to diagnose blocklists, spam traps, and engagement drops Work through highly technical issues with Engineering, taking ownership of the investigation first and sharing trends from customer cases with Product and Engineering Identify acceptable use policy violations and spam complaints, hold clear and direct conversations with customers about compliance, and keep up with evolving standards (Gmail and Yahoo sender requirements, CAN-SPAM, GDPR) Equip CSMs and Technical Support with the knowledge to handle deliverability conversations, through coaching, documentation, and training Improve processes, tools, and one-to-many resources, such as help content, Academy course and proactive customer guidance, so deliverability support scales across the organization What we're looking for 2-4 years of experience in email deliverability at a mid-size or large ESP, B2B SaaS company, or marketing automation platform, with exposure to deliverability at scale Deep understanding of email authentication (SPF, DKIM, DMARC, BIMI) and infrastructure (SMTP, MTAs, DNS), with the technical comfort to work through complex issues with Engineering Proficiency with provider data feeds (Google Postmaster Tools, Yahoo Sender Hub, Microsoft SNDS) and third-party deliverability monitoring tools like Everest, MXToolbox, or similar, and the analytical skill to turn bounce, engagement, and blocklist data into clear recommendations Working knowledge of email compliance and acceptable use standards, and comfort having direct conversations with customers who are sending outside of them Experience building or improving processes, documentation, or training that help a support or deliverability team scale Excellent written and verbal communication, including comfort leading customer calls and simplifying technical concepts for any audience Located in the United States or Canada Bonus: participation in deliverability communities (M3AAWG, ESPC, or similar) and experience partnering with Customer Success teams Compensation & Benefits We believe in transparency. Starting salary for this role is $102,000 - $110,000 USD (or equivalent in local currency) depending on experience and subject to market rate adjustment. In addition to base salary, this role includes an equity grant in the form of stock options, so you share in the success you help build. We know our people are what make us great, and we're committed to taking great care of them. Our inclusive benefits package supports your well-being and growth, including 100% coverage of medical, dental, vision, mental health, and supplemental insurance premiums for you and your family . We also offer 16 weeks paid parental leave, unlimited PTO , stipends for remote work and wellness, a professional development budget, and more. See full benefits here → Our Process No gotchas, no trick questions - just a clear, human process designed to help both of us make an informed decision. 30-minute video call with a Recruiter 45-minute video call with the Hiring Manager 60 minute Case Study Review call with Cross-Functional Partners 30 minute video call with potential Team Member 30 minute final video call with Senior Leadership All final candidates will be asked to complete a background check and employment verifications as part of our pre-employment process. Customer.io recognizes the stifling impact of systemic injustice on diverse communities. We commit to using our influence to increase inclusion and equity within the tech industry. We strive to build an inclusive team culture, implement bias-free hiring practices, and develop community partnerships to expand our global impact. Zoom is the only video conference platform that we use, virtual interviews will be conducted using the video capability (i.e., not via the chat), and offers will be extended in writing on official Customer.io letterhead. Please be vigilant in all of your job search activity, and if you have any questions please contact jobs@customer.io . Join us! Check out our careers page for more information about why you should come work with us! We believe in empathy, transparency, responsibility, and, yes, a little awkwardness. If you're excited by what you read — apply now.

Location: Australia The Role Intellect delivers a clinically governed mental health programme to enterprise clients in the mining and resources sector, supporting remote and fly-in fly-out workforces across Australia, with international expansion in progress. This is not a standard EAP. Cases begin with acute risk assessment on remote sites and run through structured treatment, fitness-for-work assessment and return-to-work clearance, in direct coordination with the client's chaplaincy, medical and people teams. The Care Account Manager is the clinical coordinator and case manager for high-risk employee cases, and the single owner of the journey from initial risk assessment through to reintegration and case closure. They hold clinical oversight of risk across the caseload, shape treatment planning with treating providers, co-develop the clinical protocols and SOPs the client operates to, and turn case activity into clinical insight the client can act on. The role is consultative, and includes delivery of counselling and psychotherapy where required. It is distinct from commercial account management, which is held separately. Flexible hours with availability for urgent escalations during client business hours. Responsibilities End-to-end case management and coordination Manage the full lifecycle of high-risk cases, from handover after the initial risk assessment through escalation, support, fitness-for-work assessment and case closure. Monitor incoming care requests, ensure appropriate response, and assign cases to approved clinicians with the right competency and registration. Ensure therapy sessions are scheduled, completed and documented within agreed SLAs, and coordinate with care navigators on booking. Review the open case list for stalled items and follow up with clinicians, network partners and client contacts to keep cases moving. Act as the third line of escalation for the helpline, after ranger and supervisor, for case clarifications and complex issues. Treatment planning and clinical support plan orchestration Liaise with client contacts and on-site teams for situational updates, and align an initial support plan with the treating clinician, including session volume and cadence. Work with treating providers on case formulation and treatment goals, oversee implementation of the support plan, and track employee progress. Manage support plan adjustments, including requesting and aligning additional sessions with the client where clinically indicated. Support provider re-matching where the therapeutic fit is not working. Apply cultural and contextual formulation, including for First Nations employees and isolated site-based workers. Clinical risk oversight and governance Review and sign off risk assessments, confirm risk tiering against the client's framework, and set review cadence and monitoring requirements. Make the clinical decisions the pathway requires: disputed risk ratings, medical evaluation pathways where an employee declines therapy, and session credit decisions. Ensure clinical documentation and risk assessments are completed and categorised to the client's framework and to internal SOPs. Co-develop and maintain the clinical protocols, risk frameworks and SOPs the client's on-site teams operate to, and keep them current as the programme expands. Hold clinical standards where operational or commercial pressure runs the other way. Fitness-for-work and reintegration Initiate and coordinate fitness-for-work assessments on completion of clinical support, liaising with doctors and clinical psychologists. Communicate assessment outcomes to the client's chaplaincy and people teams and align on next steps. Develop the reintegration plan in collaboration with client contacts, and maintain regular check-ins through reintegration, monitoring progress and flagging deterioration. Stakeholder relationships, clinical insights and reporting Act as the named clinical contact for the client's chaplaincy, medical and health and safety leads on individual cases, responding within the programme's operating window to queries that are frequently unscheduled and time-critical. Produce the case tracker and monthly clinical reporting, moving beyond utilisation to presenting issues, risk patterns, outcomes and service-level themes. Present clinical insight at client review meetings and translate it into recommendations the client's health and safety and people teams can act on. Design and deliver clinical training and framework guidance to client-side staff who are not clinicians, and support training of internal clinicians and rangers on client-specific protocols. Work closely with helpline operations, care excellence, clinicians and network partnerships, and feed service quality issues back to internal stakeholders. Requirements Registered clinical psychologist or qualified counsellor, with current registration in your jurisdiction. Master's degree in clinical psychology, counselling or a related field. Three to five years in clinical case management, ideally within EAP, corporate wellbeing or a high-acuity mental health setting. Proven experience managing complex, high-risk cases from assessment to closure, in a setting where you held the decision rather than advised on it. Experience of structured return-to-work, fitness-for-work or occupational mental health pathways. Experience contributing to clinical protocols, risk frameworks or SOPs, and working within strict guidelines. Demonstrated experience managing stakeholders in a corporate or large-organisation client-facing role. Based in Australia with the right to work. Perth or another AWST location strongly preferred; other states considered only where 07:00 to 19:00 AWST can be reliably worked. Exceptional written and verbal communication, with the ability to convey clinical concepts clearly to non-clinical stakeholders, and written English that stands up in client-facing clinical documentation. Desirable AHPRA registration. Understanding of fly-in fly-out and mining culture, and the pressures of remote, high-risk work environments. Familiarity with Australian psychosocial risk and work health and safety obligations. Experience of multi-stakeholder coordination across internal clinicians, external partners, HR and client contacts.

Location: New York, NY (HQ); San Francisco, CA Workplace: Hybrid ABOUT RAMP Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books. The problems are high-stakes, data-dense, and unforgiving. We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome. The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same. If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it. ABOUT THE ROLE As a Strategic Account Manager, you will be responsible for driving the strategy, growth, and overall health of a book of 8–12 of Ramp’s largest and most strategic customers. You’ll own the long-term relationship and be accountable for maintaining and growing revenue, driving product adoption, and ensuring your customers achieve meaningful business outcomes on Ramp. You’ll build deep relationships across all levels of your customers’ organizations, from day-to-day operators to C-suite executives, and be skilled at managing complex stakeholder dynamics and product configurations. Internally, you’ll partner closely with senior leaders and cross-functional teams at Ramp to strengthen our B2B relationships, coordinate strategic initiatives, and feed structured insights into our product roadmap and internal processes. WHAT YOU’LL DO - Own a portfolio of 8–12 strategic Enterprise customers, with clear accountability for retention, expansion, and overall account health - Maintain and grow revenue and usage within your book of business by identifying, pitching, and executing on upsell and cross-sell opportunities - Build and execute detailed account and territory plans, including QBRs and executive reviews that highlight results, surface risks, and align on future growth - Lead frequent customer conversations (status calls, roadmap discussions, upsell conversations, and QBRs) to ensure customers are achieving strong outcomes with Ramp - Own end-to-end execution of renewals and expansions, from discovery and solution design through commercial negotiation and close - Serve as a Ramp product expert, proactively uncovering workflow gaps and recommending solutions that save customers time and money, while guiding them toward deeper platform adoption - Partner cross-functionally with Product, Design, Engineering, Sales, CSMs, and Solutions to coordinate customer initiatives and deliver tailored, enterprise-grade solutions - Provide structured feedback to product and leadership teams, translating customer needs and patterns into recommendations that shape Ramp’s Strategic and Enterprise roadmap - Navigate and align internal and external stakeholders, including C-suite executives, investors, partners, and cross-functional teams - Use data and analytics to inform your strategy, monitor account performance, and communicate impact and opportunities in a clear, grounded way WHAT YOU NEED - 9+ years of experience as a Account Manager or Account Executive - 3+ years managing strategic Enterprise accounts (2,500+ employees or Fortune 1000) with proven commercial ownership - Strong familiarity with Fintech, Payments, Finance/Accounting, or B2B SaaS products - Demonstrated success negotiating and closing complex six-figure renewals and upsells - Ability to understand and communicate complex product workflows, integrations, and technical configurations - High fluency in financial value drivers — able to articulate ROI, payback periods, process modernization, and cost savings - Deep sense of ownership with the ability to build processes, playbooks, and documentation from 0→1 as strategic customers push the limits of Ramp’s platform and require new, scalable solutions - Strong executive communication and storytelling skills with the ability to influence cross-functionally and at the C-suite - Consistent track record of hitting or exceeding revenue targets in fast-paced environments - Operates with urgency, grit, and ownership; thrives in environments with innovation, change, and ambiguity - Willingness to travel for customer on-sites, events, and internal team summits NICE TO HAVES - Experience in financial services sales or selling to finance teams (e.g., Office of the CFO, accounting, controllers, expense management). - Experience at a high-growth startup BENEFITS AVAILABLE TO ALL FULL-TIME RAMP EMPLOYEES (GLOBAL) - Flexible PTO - Centralized home-office equipment ordering - Health and wellness stipend - Budget for intra-office travel - Weekly coffee stipend UNITED STATES - 100% medical, dental & vision insurance coverage for you, with partial coverage for dependents - One Medical annual membership - 401(k), including employer match on contributions made while employed by Ramp - Fertility HRA (up to $10,000 per year) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay - Pet insurance - In-office perks: lunch, snacks, drinks, and more - Relocation expense coverage to NYC or SF (if needed) CANADA - Group medical, dental, and vision coverage through Sun Life - Life, AD&D, and disability coverage - Fertility drug coverage (up to $4,000 lifetime) - Group Retirement Plan with employer match (RRSP + DPSP) - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay - Employee Assistance Program and virtual care through Lumino Health UNITED KINGDOM - Private medical insurance through Freedom Elite - Virtual GP and at-home care via eMed x Livi - Workplace pension through Penfold, with salary sacrifice option - Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay REFERRAL INSTRUCTIONS If you are being referred for the role, please contact that person to apply on your behalf.   OTHER NOTICES Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.   Beware of recruiting scams: Ramp will only contact you through official @Ramp.com http://Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.   Ramp Applicant Privacy Notice https://ramp.com/legal/applicant-privacy-notice

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. This role is open to MBA students graduating in spring 2027. 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 experience at the intersection of technology and business. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: San Francisco Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We’re looking for a RevOps Systems Architect to design and build the systems behind a modern, AI-powered go-to-market engine. This isn’t a Salesforce admin role, and it isn’t a support function. You’ll be the technical owner of how our GTM stack fits together: Salesforce at the core, surrounded by the data, enrichment, engagement, billing, and AI tools our revenue teams depend on. You’ll operate as an architect and a hands-on builder. You’ll set the technical direction for our CRM and GTM tooling, then ship it yourself with Flows, Apex, SQL, and custom services, including Salesforce MCP servers and AI tooling that make our CRM a first-class participant in AI-driven workflows. For larger efforts, you’ll partner with our engineering team, scoping, designing, and delivering together as a technical peer. In this role, you will: - Own the architecture of our GTM systems: the Salesforce object model and data architecture, how data moves between Salesforce and the rest of the stack, and the standards that keep it all healthy and scalable. - Design and build integrations between Salesforce and adjacent tools (data warehouse, enrichment, sales engagement, billing/CPQ, internal apps), choosing the right tool for each problem, whether that’s native Salesforce, Apex, middleware, or custom services. - Build and maintain automations using Flows, Apex, and custom services that power GTM processes end to end, with a bias toward solutions that are intelligent, observable, and maintainable. - Develop and maintain Salesforce MCP servers and AI agents that extend CRM functionality into AI-powered workflows, and define how AI fits into our revenue operations over time. - Design and own SQL-based data pipelines that feed dashboards and revenue reporting, making sure the numbers leadership relies on are trustworthy and traceable to source. - Translate ambiguous business problems into clear technical strategy, from stakeholder conversation through design, build, rollout, and adoption. - Raise the bar for the team: establish best practices for change management, testing, documentation, and technical debt, and mentor teammates on systems thinking. - Partner with leaders across Sales, Marketing, Customer Success, Finance, and Engineering to prioritize the systems work with the highest business impact. REQUIREMENTS - 8+ years in Salesforce administration and development, with a track record of owning a complex, high-growth org and its architecture, not just maintaining it. - Strong Apex skills: you can design, build, debug, and maintain triggers, custom logic, and integrations independently, and you know when not to write code. - Demonstrated experience integrating Salesforce with other systems via APIs, middleware, or custom services, and designing for failure modes, data integrity, and scale. - SQL proficiency: you decompose ambiguous questions into well-structured queries and are comfortable with complex joins, aggregations, and pipeline logic. - A systems mindset: you can hold an end-to-end GTM process in your head, trace a field from origin through every downstream dependency, and anticipate what breaks when something changes. - Strong judgment and ownership: you scope problems yourself, make sound build-vs-buy and architecture calls, and drive projects to completion with little direction. - Clear communicator who can explain tradeoffs to both technical and non-technical stakeholders and earn trust across teams. - Excited by AI-native systems and curious about where Salesforce, MCP, and AI agents intersect. You’re already experimenting in this space. Bonus: - Familiarity with dbt or modern data transformation tooling. - Experience with BI tools such as Sigma or Looker. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Bengaluru, Karnataka, India, APAC 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 We're looking for a Senior Financial Systems Analyst who will drive the transition from manual, repetitive legacy work to more accurate, streamlined, and automated models, dashboards, and data feeds. Your work will change from week-to-week and month-to-month as you partner with FP&A to redesign how the team plans and forecasts, build new dashboards, and train AI agents to do the tedious stuff automatically. We need someone who combines financial acumen with technical know-how — translating model assumptions and drivers into the right long-term solution, whether that's a Pigment model, a Python script, or an AI agent. You'll also own the trustworthiness of the numbers Finance leaders rely on, building systematic data-quality checks and partnering with the Data/Analytics Engineering team to resolve upstream data issues. And because a fix that only you can maintain isn't really a fix, you'll document your models clearly enough that analysts without a Pigment or Python background can self-serve basic changes — empowering the team with tools that completely solve problems without manual workarounds. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Pigment, BigQuery, NetSuite, Omni, Sigma, Claude Code What You’ll Do Partner directly with FP&A business partners across Sales & Marketing, R&D, and G&A to understand how each team plans, forecasts, and reports today, then work together to identify manual, repetitive Finance work that Pigment integrations, Python scripts, and AI agents can streamline and automate. Own the end-to-end build of new and migrated Pigment models — data blocks, formulas, workflows, dashboards, and views — turning fuzzy business asks from FP&A into technical solutions people actually want to use. Collaborate on the design and maintenance of our Pigment architecture, ensuring we avoid a tangled mess of metrics, dimensions, and boards and keep our tools easy-to-navigate. Team up with your peers on the Finance Systems team to build durable integrations between Pigment, BigQuery, and other finance systems, so the data everyone needs shows up accurately and automatically instead of through manual workarounds. Put systematic data-quality checks in place — reconciliations, change monitoring, variance alerts — so business partners can trust the numbers without manual effort. Document what you build clearly enough that a Finance analyst with no Pigment or Python background can self-serve basic changes. Loop in the Data/Analytics Engineering team when a request needs a new data connection or you find an upstream data problem. Skills We’re Looking For 5+ years of experience in financial systems, FP&A, or analytics engineering, with hands-on work in an EPM platform (Pigment, Anaplan, Adaptive, or similar) — or an equivalent analytics-engineering background (SQL, dbt, Python) with a strong interest in moving into EPM/finance systems work. Proven experience using AI agents/LLM tooling to automate finance workflows. Ability to sit with a Finance stakeholder, listen to a messy description of “how we currently do this,” and come back with a well-scoped technical plan. Working proficiency in Python — or willingness and ability to learn via Claude Code or Codex. Strong SQL skills and comfort working in a cloud data warehouse (BigQuery or similar). High attention to detail — this role will work on models that inform real business decisions, so the ability to audit models and build intuition on outputs matter as much as speed. Strong communication skills — able to explain a data discrepancy or a modeling trade-off to someone without a systems or data background. Bonus Skills​ Prior experience inside an FP&A or corporate finance function (not just building tools for one from the outside), ideally supporting a Sales, R&D, or G&A finance function specifically. Prior experience building a Sales Capacity/Planning model or a Supply Chain model in Pigment, Anaplan, or another similar planning platform. Familiarity with BI tools such as Tableau, Looker, Sigma, or Omni. Experience with dbt or another data-transformation framework. # LI-HYBRID #LI-DB1 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: AU: Melbourne: (260 Burwood Rd); AU: Sydney (45 Clarence St); AU: Canberra (68 Northbourne Avenue); AU: Brisbane (243 Edward St) Workplace: Hybrid Engineer, Search   The role & impact As an Engineer on our Search team, you’ll own the infrastructure, CI/CD and data pipelines that keep one of the largest search clusters in the southern hemisphere healthy and growing. You’ll design and run the infrastructure automation and Terraform that underpin the cluster, build pipelines that move and index data at scale, and keep the platform fast, resilient and cost effective as demand grows. You’ll Go Bold by leading design decisions on scaling, reliability and capacity for a system holding hundreds of terabytes. In your first 90 days, you’ll get up to speed on the cluster, the team and our platform rebuild, then start reviewing pull requests and making your first meaningful changes. Within 12 months, you’ll Go Further by owning a major project, contributing across both search and generalist work, and helping to shape how the team works. The team & how they connect Our Search team looks after one of the largest search clusters in the southern hemisphere, indexing more than 50 million documents a day, for around 200,000 daily active users at 99.9% uptime. We’re rebuilding and expanding the platform for Xero’s next stage of growth, working closely with the streaming data team, our product manager and Catalyst to plan and release changes safely. We’re remote-first across Melbourne, New South Wales and New Zealand, and we get together in Melbourne roughly every six months. The team is currently working on - Tech stack: Github Actions and Terraform for infrastructure as code, with large-scale data pipelines feeding our search indexes. - Current project: Rebuilding and expanding the search platform, including ingestion for our new platform alongside the streaming data team. - Current project: Keeping the cluster highly available, owning monitoring, alerting and incident response to protect our 99.9% uptime. - Future project: Owning and shaping a major platform project within your first year, spanning both search and generalist work. Where and how you can work This is a permanent, remote-first role across Melbourne, New South Wales and New Zealand, so you can work from wherever you’re based. We get together in Melbourne roughly every six months, giving you time to connect with the team in person. Here are some of the things we are looking for - You bring your experience running production infrastructure in the cloud, with hands-on skills in Github Actions and Terraform. - You’ve designed and operated infrastructure pipelines that support complex platform scale environments and know how to keep them reliable under heavy demand. - Solid software engineering skills and a high-quality mindset sit at the heart of how you work. - Search or information retrieval experience, or a clear path to applying it, will help you hit the ground running. - You communicate clearly, work well across remote teams and can explain trade-offs to people outside engineering. Apply even if your experience isn’t a perfect match! At Xero, we hire based on your skills, passion, and the unique perspective you can bring to enhance our culture and team.

Welcome to Torrero - all-in-one source for cutting-edge white label casino, sportsbook solutions and B2B aggregation. Built on a foundation of trust and compliance, we proudly offer an extensive library of 30,000+ games sourced from diverse providers, positioning Torrero as the preferred partner for transforming the iGaming enterprise. With huge number of sports events and easy payment options, we cater to diverse interests. Available in 35+ languages, we make gaming accessible worldwide. If you like a fast paced, dynamic and start-up work culture with full of passionate and enthusiastic mindsets, you’re most welcome to explore the opportunity. This is a chance to take part in an exciting journey as the company grows and expands its business at a rapid pace. About the Role We are looking for a organized and detail-oriented Content Casino Specialist to take full ownership of our online casino game database and provider integrations. In this role, you will systematically collect, verify, and structure all game-related data across our partner ecosystem, serving as the central bridge between external game providers and our internal team. Key Responsibilities Collect, audit, structure, and maintain high-quality information for all partner casino games in a single, central database. Build and maintain direct lines of communication with game providers to regularly acquire product specs, game metadata, and localized marketing creatives tailored to specific geolocations. Regularly monitor and audit our casino content catalog to ensure full coverage, accuracy, and timeliness across all active markets. Systematize incoming game assets and data feeds, ensuring seamless access and usability for internal operational and marketing teams. Establish repeatable, scalable processes for content onboarding and management to streamline team workflows and reduce manual tasks. Requirements Proven experience within the iGaming industry Strong understanding of casino content, game mechanics, and underlying product features. Experience working with JSON format and structured data structures. Advanced skills in Microsoft Excel and proficiency across the broader Microsoft Office suite. Proven ability to manage, clean, and organize large volumes of data with precision. Exceptional attention to detail, strong organizational skills, and excellent written and verbal communication. Should be proficient in Russian language and intermediate in English language. Nice to Have: Practical experience utilizing AI tools to speed up content management and operational workflows. Experience implementing automation for processing and managing large-scale datasets. We offer: Fully remote job - work from anywhere you want Flexible working hours Competitive compensation 28 paid days off per year 3 paid sick days a year without medical certificate Seniority leave Birthday Day off Real career opportunities and professional growth The great team across the world Hiring Stages: Introductory call Test Task Hiring Manager round References check Job offer

Location: Tallinn, Harjumaa, Estonia Welcome to Torrero - all-in-one source for cutting-edge white label casino, sportsbook solutions and B2B aggregation. Built on a foundation of trust and compliance, we proudly offer an extensive library of 30,000+ games sourced from diverse providers, positioning Torrero as the preferred partner for transforming the iGaming enterprise. With huge number of sports events and easy payment options, we cater to diverse interests. Available in 35+ languages, we make gaming accessible worldwide. If you like a fast paced, dynamic and start-up work culture with full of passionate and enthusiastic mindsets, you’re most welcome to explore the opportunity. This is a chance to take part in an exciting journey as the company grows and expands its business at a rapid pace. About the Role We are looking for a organized and detail-oriented Content Casino Specialist to take full ownership of our online casino game database and provider integrations. In this role, you will systematically collect, verify, and structure all game-related data across our partner ecosystem, serving as the central bridge between external game providers and our internal team. Key Responsibilities Collect, audit, structure, and maintain high-quality information for all partner casino games in a single, central database. Build and maintain direct lines of communication with game providers to regularly acquire product specs, game metadata, and localized marketing creatives tailored to specific geolocations. Regularly monitor and audit our casino content catalog to ensure full coverage, accuracy, and timeliness across all active markets. Systematize incoming game assets and data feeds, ensuring seamless access and usability for internal operational and marketing teams. Establish repeatable, scalable processes for content onboarding and management to streamline team workflows and reduce manual tasks. Requirements Proven experience within the iGaming industry Strong understanding of casino content, game mechanics, and underlying product features. Experience working with JSON format and structured data structures. Advanced skills in Microsoft Excel and proficiency across the broader Microsoft Office suite. Proven ability to manage, clean, and organize large volumes of data with precision. Exceptional attention to detail, strong organizational skills, and excellent written and verbal communication. Should be proficient in Russian language and intermediate in English language. Nice to Have: Practical experience utilizing AI tools to speed up content management and operational workflows. Experience implementing automation for processing and managing large-scale datasets. We offer: Competitive salary Private health insurance Sports benefit Annual paid vacation for 28 calendar days 3 paid sick days a year without medical certificate Seniority leave Birthday Day off Regular team and company events Comfortable office in the centre of Tallinn with the flexible working schedule Top notch work equipment Amicable work environment and supportive team members Real career opportunities and professional growth The great team across the world Hiring Stages: Introductory call Test Task Hiring Manager round References check Job offer

Location: Remote - Canada Who we are At Twilio, we’re shaping the future of communications, all from the comfort of our homes. We deliver innovative solutions to hundreds of thousands of businesses and empower millions of developers worldwide to craft personalized customer experiences. Our dedication to remote-first work , and strong culture of connection and global inclusion means that no matter your location, you’re part of a vibrant team with diverse experiences making a global impact each day. As we continue to revolutionize how the world interacts, we’re acquiring new skills and experiences that make work feel truly rewarding. Your career at Twilio is in your hands. . Hiring and how we work We use Artificial Intelligence (AI) to help make our hiring process efficient. That said, every hiring decision is made by real Twilions! Also, while we are a remote-first company, you may be asked to report in person on an ad-hoc basis for team gatherings, functional off-sites or customer meetings. . See yourself at Twilio Join Twilio as a Program Manager, Carrier Operations & Governance — a tech-forward business analyst and program manager within a brand-new function built from the ground up to reshape how Twilio manages, governs, and optimizes its global telecom carrier and wholesale supplier ecosystem. About the job This isn't a role that inherits an existing playbook — it's a role that writes one. Twilio is building a highly visible, cross-functional operations & governance team dedicated to optimizing its telecom carrier and wholesale supplier ecosystem. Reporting into leadership that maintains regular cadences with Twilio's CEO, CFO, CRO, and Audit Committee, you will serve as the primary owner of critical end-to-end improvements spanning multiple areas of the business, and build internal operating models that unlock new levels of operational maturity and rigor. In this role, you will bring together, understand, and implement the policies, processes, systems, tools, and controls necessary to build a world-class operating environment. You will own the creation and stand-up of the team operating model, cadences, and runbooks while taking direct ownership of the team's internal Run-the-Business (RTB) engine. If you thrive in high-visibility environments, love designing systems from first principles, and want to own program execution end-to-end, this opportunity is built for you. Responsibilities In this role, you will lead program execution across four core pillars: Cross-Functional Governance & Leadership Drive Visible Governance Programs: Serve as the core Program Manager for a highly visible, cross-functional governance initiative spanning multiple areas of the business - including building and operationalizing programs from diagnosis, design, implementation, and change management Maintain Executive Visibility: Package and present operational narratives, risks, and performance metrics to cross-functional leadership, feeding into C-suite and Audit Committee reviews. Implement Core Infrastructure: Lead end-to-end process improvements across carrier operations — understanding, synthesizing, and deploying cohesive policies, workflows, systems/tools, and data-driven controls. Operating Model, Enablement & Team Infrastructure Build Team Foundations: Design and stand up the new Carrier Operations & Governance operating model, operational cadences, and internal team structures. Author Runbooks & Standards: Author, maintain, and roll out standard operational runbooks, supply policies, and Rules of Engagement (ROEs) for internal stakeholders and carrier partners. Design Enablement & Change Management: Design and create comprehensive enablement programs, training materials, and frameworks to accelerate organizational transformation — actively shifting teams from relationship- and assumption-driven decision-making to a rigorously governed, data-informed operating model. Insights & Reporting Business Intelligence: Leverage quantitative research, machine learning models, performance monitoring, and scalable data foundations that enable fast, economically sound insights. Data & Reporting Quality: Execute analytical requests from IRSG, Legal, Finance, and GTM stakeholders, delivering accurate data pulls, ad-hoc analyses, and structured summaries. Perform data quality checks and validation to ensure accuracy and consistency across reporting pipelines. Design Enablement & Change Management: Design and create comprehensive enablement programs, training materials, and frameworks to accelerate organizational transformation — actively shifting teams from relationship- and assumption-driven decision-making to a rigorously governed, data-informed operating model. Drive Team RTB Engine: Own and manage the day-to-day Run-the-Business (RTB) cadence at the team level, ensuring operational momentum and accountability. Facilitate Operational Rhythms: Facilitate regular operational forums, including team OKR tracking, and deal approval workflows. Run-the-Business (RTB) Ownership Drive Team RTB Engine: Own and manage the day-to-day Run-the-Business (RTB) cadence at the team level, ensuring operational momentum and accountability. Facilitate Operational Rhythms: Facilitate regular operational forums, including team OKR tracking, and deal approval workflows. Qualifications Twilio values diverse experiences from all kinds of industries, and we encourage everyone who meets the required qualifications to apply. If your career is just starting or hasn't followed a traditional path, don't let that stop you from considering Twilio. We are always looking for people who will bring something new to the table! *Required: 5+ years of experience in management consulting or as a Program Manager or Chief of Staff in telecom, RevOps, or strategy and operations. Proven track record leading highly visible, cross-functional programs across business, technical, legal, and financial stakeholders. Demonstrated expertise driving end-to-end process improvements by integrating policies, business processes, IT/systems tools, and operational controls. Direct experience standing up operating models, team cadences, and operational documentation (runbooks, frameworks, ROEs). Proven track record in designing enablement content and driving organizational change. Experience driving Run-the-Business (RTB) cadences, OKR tracking, and operational reporting. Strong capability in process mapping, business case writing, and translating complex operational needs into IT system specs. Sharp written and verbal communication skills with experience presenting to executive leadership. Strong analytical proficiency using data tools (Excel/Google Sheets, SQL, or Looker) to measure performance and policy compliance. Team player who thrives in a fast-paced environment. Desired: Background in management consulting, high-growth tech, or global telecom environments. Six Sigma or formal Program / Process Management / Prosci Change Management certification. Operational experience within commercial Deal Desks, supplier QBR management, or revenue assurance. Domain knowledge of A2P SMS, international voice/messaging, carrier billing, or AIT/IRSF fraud frameworks. Familiarity with workflow and dashboarding tools (Airtable, Jira, Confluence) and operational automation (Python, Coefficient, AI tooling). Location This role will be remote and based in Ontario, British Columbia or Alberta, Canada. Travel We prioritize connection and opportunities to build relationships with our customers and each other. For this role, you may be required to travel occasionally to participate in project or team in-person meetings. What We Offer Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings program, and much more. Offerings vary by location. Based on role, employees may also be eligible for additional compensation and benefits, including but not limited to incentive programs, commissions, equity grants, health and wellness benefits, retirement contributions, and paid time off. The estimated pay ranges for this role are as follows: $ 90,800.00 - $ 113,500.00 Target Bonus Percentage 12.5% The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. Application deadline information Applications for this role are intended to be accepted until November 1, 2026 but may change based on business needs. Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That's why we seek out colleagues who embody our values — something we call Twilio Magic . Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you're ready to unleash your full potential, do your best work, and be the best version of yourself, apply now! If this role isn't what you're looking for, please consider other open positions. . Stay alert to recruitment fraud We care about your safety. Scammers sometimes impersonate Twilio recruiters through fake job postings, emails, websites, or messages. Please ensure you are engaging with an official @ twilio.com email address. We will never ask for payment, gift cards, cryptocurrency, or banking information during the recruiting process. We do not make job offers without a formal interview process or conduct interviews exclusively through text-based messaging apps. . Twilio is proud to be an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Additionally, Twilio participates in the E-Verify program in certain locations, as required by law.

Location: San Francisco Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE This role sits at the applied end of our post-training research efforts. You will work directly with stakeholders from the world’s fastest-growing AI companies to post-train open-source models that outperform frontier closed models on their specialised tasks. Your day-to-day is finding creative ways to extract signal from complex, domain-specific datasets and building the reward functions, environments, eval harnesses, and training pipelines that turn that signal into better models. The models you train ship to production and reach millions of users. We are looking for people with hands-on LLM fine-tuning and RL experience. Researchers who are excited by the prospect of shipping models into production, who can translate a customer's domain-specific requirements into an effective training curriculum, and who know when to be rigorous and when to iterate fast. RECENT RESEARCH - Dense, on-policy or both? https://www.baseten.co/research/dense-on-policy-or-both/ - Repeated kv cache for long-running agents https://www.baseten.co/research/repeated-kv-cache-for-long-running-agents/ - Distillation without the dark – replicating black-box on-policy distillation on Baseten https://www.baseten.co/research/distillation-without-the-dark/ RESPONSIBILITIES - Design and run post-training pipelines: SFT, GRPO, DPO, RLVR, reward function engineering, and synthetic data generation. - Build task-specific training environments and evals tailored to customer domains like healthcare, code generation, and legal, spanning multi-turn tool use, sandboxed execution, and agentic workflows. - Work directly with customers to translate production data into training signal, designing reward loops from real usage patterns and handling distribution shift. - Run and analyze training experiments end-to-end: diagnose reward hacking, importance sampling drift, and advantage estimation instabilities. - Publish findings at top venues and contribute to Baseten's open-source training libraries. QUALIFICATIONS - Hands-on experience training LLMs with reinforcement learning — demonstrated understanding of GRPO or PPO beyond recipe-level reproduction, including group advantage computation, clipped objectives, and KL penalty design - Strong intuition for reward engineering: the ability to distinguish between a reward that trains effectively and one that will exploit at scale - Experience building multi-turn agent environments with tool use, not limited to single-turn question-answering setups - Comfort working across the full pipeline from dataset construction through training, evaluation, and deployment - Experience with production ML systems. Preference for candidates who have closed a training–inference loop where production data feeds back into model improvement PREFERRED QUALIFICATIONS - Experience with RL training frameworks - Publications at NeurIPS, ICML, ICLR, focused on RL for LLMs, reward modeling, or alignment BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco, CA Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE TEAM   This team works directly with companies building and running AI agents in production, helping turn ideas and prototypes into systems teams can rely on. This is a hands-on, highly technical team that partners closely with customer engineers across the full lifecycle, from pre-sales evaluations to post-deployment advisory work. The focus is on achieving the technical win, co-designing agent architectures, and helping customers operate agents reliably at scale using the LangChain suite. Sales Engineers sit at the intersection of engineering, product, and go-to-market, shaping how LangChain is adopted in the field and feeding real-world insights back into the platform.     ABOUT THE ROLE   You'll work on some of the hardest problems in applied AI alongside customers. This is not demos or research, but helping teams build systems they rely on in production. The feedback loop is fast, the impact is visible, and your work directly shapes how AI agents are built in the real world. WHAT YOU’LL DO - Co-architect and co-build production AI agents with customer engineering teams - Own the technical win in pre-sales by designing POCs, answering deep technical questions, and guiding evaluations - Help customers deploy and operate agent-based applications such as conversational agents, research agents, and multi-step workflows - Advise customers post-sale on architecture, best practices, and roadmap-level decisions - Run technical demos, trainings, and workshops for developer audiences - Surface field feedback and contribute reusable patterns, cookbooks, and example code that scale across customers - Occasionally contribute code upstream when it meaningfully improves customer outcomes - This role requires 40% travel to customer sites to support deployment, onboarding, and ongoing technical engagement WHAT YOU’LL BRING - 3+ years in a relevant technical role (software engineering, customer engineering, solutions engineering, founding/product engineering), ideally in a startup or scale-up - Strong Python, JavaScript and systems fundamentals - Have designed agent-based or LLM-powered applications beyond simple API calls, including multi-step workflows, orchestration, and failure handling - Are comfortable working directly with customers during POCs, architecture reviews, and technical evaluations - Can explain technical tradeoffs clearly and build trust with developer audiences - Take responsibility for outcomes, not just recommendations - Have a bias toward action and enjoy figuring things out as you go - Are excited about operating AI agents in production, not just building demos NICE TO HAVE’S: - You’ve deployed AI agents in production, especially using LangChain, LangGraph, or similar frameworks - Worked with LLM evaluation, observability, or guardrails - Have experience with cloud environments (AWS, GCP, Azure), containers, and basic Kubernetes concepts - Have shipped and operated production software and are comfortable owning systems under real-world constraints COMPENSATION Annual OTE range: $185,000–$315,000 USD 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.