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Location: San Francisco; New York 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 Baseten has emerging co-sell relationships with multiple strategic marketplaces and clouds, including OpenAI https://www.baseten.co/talk-to-us/openai/?utm_source=google&utm_medium=paid_search&utm_campaign=acquisition_ICA-OpenAI-Partnership_2026-09-30&utm_term=baseten%20openai&utm_campaign=Search+-+Models&utm_source=adwords&utm_medium=ppc&utm_id=24316507588&hsa_acc=9990356727&hsa_cam=24316507588&hsa_grp=199416272086&hsa_ad=826599669780&hsa_src=g&hsa_tgt=kwd-2504168645905&hsa_kw=baseten%20openai&hsa_mt=e&hsa_net=adwords&hsa_ver=3&gad_source=1&gad_campaignid=24316507588&gbraid=0AAAAAqCKh1tZ-ESp-CbtgHnyoj6pkRZGL&gclid=CjwKCAjw56zWBhB0EiwAdPOQOTzW3Bhx_UxkJI6XA8gB1rqClDpNVWFQtTzWlO0RBCV5Xx_yB54yDxoCcd4QAvD_BwE, NVIDIA and other Hyperscalers, Model Labs, and Data Platforms. The task at hand is to enable and activate partner sellers and to ensure that our internal field teams are well-supported to work successful with partner teams. As Baseten’s Partner Enablement Lead, you'll turn each partnership into a repeatable field motion. You'll work out why a partner account executive should care about Baseten, which of their customers are a fit, and what joint execution looks like. Then you'll co-build what it takes for sellers on both sides to run that play: the value proposition, the account mapping, the talk tracks, the training, and the relationships with partner field leaders. As always, the work starts with earning partner attention. This is a strategic, hands-on role for an ecosystem GTM operator who peaks in enablement. Your work will include deep cross-functional collaboration, instructional design, content development, and training delivery. You won't own partner-sourced pipeline directly, but you will make those who do much more effective. Our partnerships span Hyperscalers, Model Labs, Semiconductors, Consulting and Systems Integrators, and Data Platforms. While much of what partner enablement looks will be in your hands to define, it will include getting in front of field sellers, developing co-sell opportunities, and driving adoption of marketplace incentives for customers to buy Baseten against the commitments they already have. You'll report to the Head of GTM Enablement & Productivity and work closely with our Partnerships, Sales, FDE, Marketing, and RevOps teams. WHAT YOU'LL DO Design the joint go-to-market motion with strategic partners - Build a working picture of each partner's field: seller roles, how they're paid and measured, what makes them bring in a third party, and what gets in the way. - Define joint value propositions, customer triggers, and target segments in partnership with our alliance leads and sales & revops leadership. - Turn those into co-sell plays with clear entry points, owners, and next steps for both sides. - Run account mapping with partner teams so the plays land on specific accounts, not just slides. Activate partner field teams - Activate partner sellers and their managers to be aware of Baseten, confident in when to pull us in, and motivated to do so. - Build relationships with partner field leaders, partner development managers, and ISV teams so enablement reaches the sellers who matter. - Plan and run activations by region and segment: field briefings, account planning sessions, joint office hours, and events alongside our partnerships team. - Teach both sides how marketplace and co-sell mechanics work, so those programs make deals simpler and faster to execute. Enable Baseten's own sellers on partner motions - Make sure our AEs, SAs, and FDEs know how to work a partner-sourced or co-sell deal: how to engage the partner rep, how attribution and credit work, and which plays to run. - Build or collate the playbooks, demos, and certifications our team needs, and keep them current as each partnership changes. - Bring partner content into our onboarding and GTM Academy so new hires learn the partner motion from day one. Measure and evolve programs - Define how we measure activation: trained and engaged partner sellers, joint account plans, co-sell opportunities registered, and partner-influenced pipeline. - Work with RevOps on the operational side of partner programs, including deal registration, marketplace private offers, and POC and MDF requests. - Report monthly to GTM leadership on what's working, what isn't, and advise on where to invest next. WHAT WE'RE LOOKING FOR - 5+ years in partner or alliance GTM, partner enablement, or field GTM at a cloud, data, AI, or infrastructure company. - Hands-on experience activating co-sell with at least one hyperscaler or major platform partner (Microsoft, AWS, Google Cloud, NVIDIA, or similar). - You think in pipeline and seller behavior as well as in curriculum. You can explain a joint motion end to end, from partner incentives to the first customer meeting. - Enough technical depth to be credible with SAs and engineers on both sides. You don't need to be an ML engineer, but you should be comfortable learning inference, model serving, and GPU and token economics quickly. - You want to build: the play, the deck, the training, the measurement plan. You don't stop at the framework. - Comfortable working across teams you don't control, inside Baseten and inside partner organizations much larger than ours. Strong candidates may come from a mix of backgrounds such as: - Cloud alliances or partner GTM at a data or infrastructure ISV that co-sells with the hyperscalers. - ISV, partner development, or marketplace roles inside a hyperscaler or NVIDIA. - Partner enablement leadership at a technical company, with a track record tied to pipeline rather than training volume. - A partner-facing SA or SE who moved into enablement or GTM strategy. NICE TO HAVE - Experience with Microsoft co-sell programs, Azure Marketplace, or NVIDIA's partner and ISV programs. - Experience at an AI infrastructure, model provider, or developer platform company. - Built a partner function or partner enablement program from scratch at a growth-stage company. 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 | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic’s Inference organization serves Claude to millions of users and enterprise customers, across our own products and the world’s largest cloud platforms, with the speed, reliability, and efficiency that frontier AI demands. The stack that makes this possible is deep and tightly coupled: accelerator kernels, an in-house inference engine that manages the entire token path for both production and research workloads, distributed routing, autoscaling, and capacity management. Every layer affects the others, often in ways that are hard to see in isolation. We build across GPUs, TPUs, and Trainium, and the complexity of building, testing, and shipping inference software grows with every platform we add. We're looking for a Technical Program Manager to drive the programs that scale it. The work spans four closely coupled areas: Scaling and infrastructure. Routing, autoscaling, and capacity management for the serving fleet, and bringing new capacity online. Velocity. The toolchains, development environments, and CI/CD that let inference engineers build, test, and ship across every accelerator platform. Inference engine. The software between the accelerator kernels and the routing layer that serves every request. Performance. Improving throughput, latency, cost, and reliability across the stack, with correctness treated as part of performance. This is not a status-tracking role. You'll own outcomes end to end, often where no single team is accountable for the whole picture. Much of your value comes from crossing boundaries into Research, Safeguards, Security, Compute, Infrastructure, API, and our cloud and silicon partners, and bringing back the requirements and dependencies that no team sees from inside its own space. There is little process to inherit, and we want to keep it that way: you'll build the minimum machinery the work needs and remove it when it stops helping. And because this is Anthropic, you'll have Claude as a collaborator. We expect TPMs on this team to push hard on what AI-assisted program management and fleet operations can look like. Key responsibilities Own the programs that scale Claude’s serving fleet across accelerator and cloud platforms, from early direction through delivery. Drive new capacity online end to end, working across compute, infrastructure, security, networking, and inference teams so one person is accountable for the whole path. Build visibility into supply, demand, and utilization with capacity and finance partners, and drive trade-offs among utilization, cost, latency, and reliability to a clear decision. Lead reliability programs and large migrations without disrupting production traffic or research, and make sure incident follow-ups land in team roadmaps. Drive the programs that make inference engineers faster: define the productivity metrics that matter, find the bottlenecks, and improve how software is built, tested, and released across platforms, in step with Anthropic’s central Infrastructure org. Coordinate roadmaps and priorities across the production, research, and safeguards needs that depend on the same teams. Track performance and efficiency work from opportunity to measured impact in production, with correctness held as a release criterion. Own inference readiness for model launches alongside our launch TPMs. Minimum qualifications 7+ years of experience as a TPM, or in an equivalent engineering or SRE lead role, owning large multi-team infrastructure programs end to end in production distributed systems, ML infrastructure, or cloud platforms. You can speak to the outcomes in detail, including where a program slipped and what you did about it. Technical fluency in large-scale serving infrastructure, including request routing and load balancing, autoscaling, capacity planning, cluster orchestration, deployment and rollout, and observability. You know enough to challenge a design, find the real risk, and add value beyond tracking. A working understanding of how LLM inference uses hardware (prefill and decode, batching, caching, compute versus memory bandwidth versus interconnect), or a track record of getting deep in an unfamiliar technical domain quickly. A track record of building program mechanisms from scratch on ambiguous, fast-moving efforts, and of retiring process that has stopped earning its keep. The ability to drive outcomes across organizations you don't manage, with competing priorities and unclear decision ownership. You read people and rooms well, know when to push and when to listen, and earn the trust of senior engineers and researchers. Strong written communication, including plans, reviews, and executive updates that many teams depend on. Low ego and high ownership. You do whatever the program needs, whether that is writing a script, running an incident bridge, or chasing a quota, and you care more about the outcome than about scope or credit. Care about Anthropic's mission and about serving frontier AI safely and reliably. Preferred qualifications Direct experience with LLM or ML inference serving at scale, such as model servers, batching and scheduling, KV caching, quantization, speculative decoding, or multi-model routing. Experience with accelerator infrastructure (GPU, TPU, or Trainium), including cluster bring-up, hardware qualification, or running one workload across more than one accelerator platform. Experience managing capacity across multiple clouds or regions, including demand forecasting, headroom policy, cost modeling, or unit economics for compute-heavy services. Experience with developer productivity, release engineering, or CI/CD at scale, especially for hardware-dependent workloads, and with using engineering metrics to measurably raise velocity. Experience running performance or efficiency programs, with enough grounding in rooflines, kernels, ML compilers (XLA, Triton, Neuron), numerics, or collective communication to reason about trade-offs with the engineers doing the work. Familiarity with Kubernetes-based orchestration and job scheduling. Experience working with research teams and turning their needs into infrastructure requirements. Practical experience using AI tools in your own workflow, including building automations or agents, and clear ideas about where they help and where they don't. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $290,000 — $435,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Melbourne Workplace: Remote The Role You’ll own a net-new enterprise territory in Melbourne. Most of your number comes from accounts that don’t buy from us yet. New business usually starts with a team already running ClickHouse — open source, or a Cloud account someone expensed — until a bill or a security review pushes the conversation up to the platform team and the budget owner. Common triggers: an Elasticsearch or Splunk bill that’s hard to defend, a warehouse that can’t serve a customer-facing feature fast enough, an AI product querying tens of billions of rows. You’ll carry a small set of existing accounts alongside the hunt, where growth comes from new teams inside an account that already buys from us. One team lands a workload, it works, and four other teams have a similar problem. But the bulk of this role is finding and opening accounts that aren’t on our map yet. What You Will Be Doing - Own the full sales cycle for new accounts in your territory — first conversation through security review, procurement, and close, on Cloud commitments and multi-year committed spend. - Build your own pipeline. Self-sourced outbound is the primary input to this territory, not a supplement to inbound. - Find and convert existing ClickHouse usage in new accounts. Unmanaged open-source deployments and self-serve Cloud accounts are the highest-yield source of new pipeline in this segment. - Multi-thread across the data platform team, the budget owner, security, and the executive sponsor rather than relying on a single champion. - Work with your Solutions Architect through the technical evaluation. They own the technical win, you own the commercial strategy and the close. - Run the procurement path: security questionnaires, legal redlines, vendor onboarding, and BYOC or private-deployment requirements, including Australian data residency where it’s required. - Give your champion the internal business case — TCO comparison against the incumbent, migration plan, and risk mitigation. - Grow the accounts you land by mapping the remaining teams and use cases and building an expansion plan against them. - Watch consumption trends across your accounts and engage early when usage flattens or spikes. Both are signals. - Keep Salesforce accurate and submit a forecast leadership can plan against. - Participate in the developer community in your territory: meetups, conferences, and events across Melbourne. What You Bring - 6+ years selling technical infrastructure to enterprise buyers — databases, data platforms, cloud infrastructure, observability, or developer tooling. - A track record of self-sourced pipeline. You can explain your weekly prospecting approach and what actually works for you. - Experience selling into Melbourne and Victorian enterprise accounts, and familiarity with how procurement and security review run here. - A track record closing complex deals that went through security review, legal, and procurement. - Enough technical fluency to hold an architecture conversation. You don’t need to write SQL, but you should be able to explain why a company moves a workload off Elasticsearch. - Experience with consumption-based or usage-metered commercial models, where revenue moves with usage between contract events. - Experience selling into developer-led, bottom-up adoption as well as top-down. - Ability to orchestrate people who don’t report to you — Solutions Architects, executive sponsors, partners, product managers. - Comfort building a territory from scratch rather than inheriting mature coverage. - Accurate forecasting, including when the number is bad. PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Denver, CO, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Overview: Fanatics Betting & Gaming (FBG) is hiring a Senior Analyst, Operations Automation to dig into the customer experience inside our AI agent conversations. Containment and resolution are the numbers you'll live in, and you'll work them at a level of detail nobody else here has time for: one case type, then one subtype, then the next one. In practice that means picking up a subtype with your manager, reading through a stack of real conversations, and working out what's actually going wrong. Sometimes customers get stuck in the same spot over and over. Sometimes a live agent clears the same contact in two minutes because they can check something the AI can't reach yet. Sometimes the AI is doing roughly the right thing badly: the tone is off, the knowledge article behind it is thin, or the prompt is pushing it down the wrong path. Finding the problem is half the job. The other half is making the case for the fix — what it's costing us now, what the fix is worth, and a story clear enough that a Product partner can act on it. You'll build that case and bring it into intake alongside your manager. We would rather hire someone solid at both halves than someone brilliant at one. This is a role where you learn the craft of AI customer experience with real ownership of the analysis from day one. You'll sit on the team that owns FBG's AI customer experience and work with Data, Quality, Product, and CX week to week. Responsibilities: Maintain and report the key metrics for our customer-facing AI agent — containment, resolution, deflection, escalation rate, repeat contact, and customer satisfaction at a case and subtype level. Be part of the team that stands up measurement for each new AI surface as it launches, so no surface goes live without a definition of success and the instrumentation to track it. Build and maintain the BI views and dashboards your team and Product partners use to read AI performance, and keep them accurate as products, policies, and promotions change. Write the data requirements — event definitions, tagging, table structures, and data quality checks — the metrics depend on, and partner with Data to get them built. Flag it early when a number stops being trustworthy. Knowing when your own data is wrong matters as much as reporting it. Find where customers get stuck Run deep dives at the case type and subtype level to find the stall points inside the AI interaction — where customers rephrase the same question, loop, go silent, abandon, or ask for a human, and what preceded it. Quantify each stall point so it can be ranked: how often it happens, which subtypes and markets it concentrates in, and what it costs in escalations, repeat contacts, and resolution loss. Pull together signals from more than one place — conversation data, interaction quality scores, customer and associate feedback, behavioral data, and operational metrics — into one view of what's actually driving the number. Distinguish issues worth fixing from noise, and be candid about which is which. Compare the AI to how live agents handle it Compare how live agents resolve a contact type to how the AI agent handles the same contacts, and identify what agents are doing that the AI cannot do yet — the lookups they run, the tools they touch, the actions they take. Write up each gap as a clear, specific finding: what the AI would need to close it, and the containment or resolution upside if it did. Pay attention to the escalation boundary. Where the AI hands off, look at whether it had to. Point to the right fix Sort root causes well enough to route them to the right owner and the right lever — grounding and knowledge content, prompt and instruction design, tone, tool access, handoff timing, or underlying policy ambiguity. Where the AI is already doing the right thing badly, describe the change specifically: what the grounding should say, where the tone misses, which instruction is producing the wrong behavior. Work with content, grounding, and engineering partners to get your finding specified tightly enough to be built and tested. Run recurring performance reviews on the case types you own, and keep a ranked, evidence-backed list of the opportunities in them. Build the story Turn a pile of conversations and queries into a clear, evidence-backed narrative — the pattern, the representative examples, the size of the problem, and the specific ask. Quantify the impact of a proposed fix — contacts avoided, resolution lift, handle time, cost, customer experience — with assumptions you can walk someone through. Package findings into business cases and recommendations a Product partner can act on without a translation layer, and bring them into intake with your manager. Follow what you handed off through to delivery, then measure whether it did what you said it would. Report back on what shipped, what moved, and what didn't, so the next prioritization conversation starts from evidence. Partner and communicate Work closely with Data, Product, Quality, and CX, and build the relationships that make your findings land. Translate your analysis into clear language for technical and non-technical audiences alike. Write up findings and recommendations clearly, and contribute to the leadership-facing materials your team produces. Share what you learn. Much of what you find will be new to the people around you, and writing it down so the team can use it is part of the work. Required Qualifications: 2+ years in business analytics, data analysis, business operations, customer experience analytics, or a closely related role. Strong SQL. You can independently pull, join, and validate data across large datasets without waiting on someone else to write the query. Experience owning the recurring reporting and analysis behind a metric, and being accountable for the quality of it. Experience building BI views and dashboards (Tableau, Looker, Power BI, Sigma, or similar) that other people actually use to make decisions. Ability to move from "the number moved" to "here's the specific root cause, here's roughly what it's worth, and here's what I'd fix." Diagnostic instinct matters more here than modeling sophistication. Comfort working directly in unstructured conversation data — reading transcripts at volume, spotting the pattern, and then proving it quantitatively rather than stopping at anecdote. Experience writing up findings and recommendations for partners who don't report to you, and seeing some of them acted on. Conceptual understanding of how LLM-powered systems behave — prompting, retrieval-augmented generation (RAG), knowledge grounding, and evaluation — enough to tell a grounding problem from a prompt problem from a tool gap. Clear written and verbal communication. You can write a one-pager someone reads once and understands. High intellectual curiosity and an AI-first approach to your own work. Preferred Experience: Experience analyzing conversational data from chatbots, voice systems, or agent-assist tools in production. Comfort with Snowflake, Databricks, or a comparable cloud data platform, and with dbt or similar transformation tooling. Python or R for analysis beyond what SQL handles cleanly. Background in customer experience, contact center, or support operations analytics — particularly anything that involved understanding how human agents actually resolve contacts. Hands-on experience writing or editing knowledge content, groundings, or prompts for an AI system. Experience in sports betting, gaming, fintech, payments, or another high-growth, regulated consumer industry. Experience partnering with ML or Data Science teams on evaluation frameworks, A/B testing, or experiment design. Familiarity with knowledge base architecture and how content quality drives AI answer quality. Depending on the role, your interview and onboarding experience may include in-person components, such as onsite interviews or Launching into Better: LIVE—a multi-day cultural immersion in New York City for full-time, non-seasonal hires. These sessions are designed to build connection and bring our culture to life, though specific travel and participation requirements will be confirmed based on your role and location. Your recruiter will provide clear guidance at each stage of the process. For information about our benefits, please visit https://benefitsatfanatics.com/ Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $86,000 — $115,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

Location: Remote (Canada) Workplace: Remote BUILD SOMETHING PEOPLE LOVE Wealthsimple is Canada’s leading financial innovator. The company offers a full suite of simple, sophisticated financial products across managed investing, do-it-yourself trading, cryptocurrency, tax filing, spending and saving. Wealthsimple currently serves more than 4 million Canadians and holds over $169 billion in assets under administration. The company was founded in 2014 by a team of financial experts and technology entrepreneurs, and is headquartered in Toronto, Canada. We're proud of what we've built — and we're just getting started. Read our Culture Manual https://www.wealthsimple.com/en-ca/culture and learn more about how we work https://www.wealthsimple.com/en-ca/careers. ABOUT THE ROLE This role owns the partnerships that bring new clients to Wealthsimple. Every motion you own ladders up to one goal, customer acquisition, across both digital and real-world channels: partner-driven acquisition campaigns, referral partnerships that feed our business banking line, and brand and experiential sponsorships that let us acquire customers in person. The job is to turn partners and campaigns into net-new clients and deposits, and to convert our brand presence into people walking in the door, wherever they already are. You'll source, negotiate, and activate these partnerships end to end, and you'll build a lot of it from scratch. This is a builder's seat for a growth-minded commercial operator who thinks about acquisition wherever it happens, online or IRL. IN THIS ROLE YOU'LL HAVE THE OPPORTUNITY TO: - Drive acquisition campaigns with partners, including monthly millionaire: secure partner funding and co-marketing, and source smaller campaign partners to power specific moments. - Own referral partnerships for the business banking line end to end: source, sign, and drive the channel partners that send us new business clients and deposits. - Lead commercial negotiations from first outreach to signed terms, landing terms that work for both our clients and the business. - Own the acquisition targets: net-new funded clients and deposits from referral partners, campaign performance, and sponsorship reach and ROI. - Partner cross-functionally with Growth, Brand, PMM, and Business Banking Product to activate every partnership well and measure its impact. SKILLS YOU'LL BRING: - 7-10 years of relevant experience in partnerships, business development, or growth roles in banking or customer-focused industries. - Negotiation and commercial ownership. A master negotiator with a track record of driving commercial and acquisition outcomes and turning partnerships into measurable growth. - A growth and acquisition orientation. You've turned partnerships or campaigns into measurable client acquisition, online and in person, and you think in funnels, not just relationships. - Channel or referral partnership experience. You've built or run a referral or channel pipeline that produced real, attributable results. - Strong analytical and commercial skills, with real comfort in CAC, LTV, and attribution. - A strong network in Canada (and ideally the US) across relevant commercial, tech, and community ecosystems. - A 0-to-1 operator with high urgency, strong ownership, and a bias for action. NICE TO HAVE: - Brand experiential marketing experience, especially activations built to drive real-world customer acquisition, including agency and rights-holder relationships. - Business banking or SMB acquisition experience. - Product partnerships experience as it pertains to integrated referrals. - A results-oriented mindset with a focus on impact and outcomes. WHY WEALTHSIMPLE? 🌸 Top-tier health benefits and life insurance 📈 Long-term group savings with employer match, through Wealthsimple for Business 🌴 20 vacation days, 4 wellness days, and unlimited sick and mental health days per year* ✈️ 90 days away: work outside Canada for up to 90 days per year* 👥 Employee resource groups, including Rainbow (2SLGBTQ), Women of WS, and Black at WS 🌎 We are a hybrid team with over 1,500 employees across North America. The people are one of the best parts of working here: you'll collaborate with incredibly talented, curious, and driven teammates who are deeply committed to doing great work. *Unlimited paid sick days, Wellness Days and the 90 day away program do not apply to certain roles. ICYMI Technology & Innovation at Wealthsimple: We move quickly and build thoughtfully. That means we're always looking for better ways to work — whether that's new tools, AI, or rethinking how we approach a problem. We don't expect you to have all the answers, but we do expect curiosity and a willingness to evolve alongside the products we're building. Inclusion Statement: We're building products for a diverse world, and we need a diverse team to do it well. We strongly encourage applications from everyone, regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status. Accessibility Statement: We're committed to an accessible hiring experience. If you need any accommodations throughout the interview process, please let us know — we'll work with you to make sure you have what you need. We also welcome any feedback on how we can better accommodate candidates with accessibility needs. AI in Hiring: We may use artificial intelligence (AI) tools to support parts of our hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our team but don't replace human judgment – all final hiring decisions are made by people. If you have questions about how your data is used, reach out to us.

Location: Remote; New York, NY; San Francisco, CA Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Preferable to have someone near an office in NYC or San Francisco, but open to hiring around the world for the right candidate. Runway Creative is an all-in-one platform giving creators and businesses endless ways to generate and edit video, images, and audio. Our customers range from individual creators on self-serve plans to studios and enterprise marketing teams, and they generate with both Runway's own models and leading third-party models, all on one platform. We're hiring a Pricing & Packaging Lead to own how Runway creates and captures value across all of it. You'll partner closely with our Self-Serve Product Lead to evolve our plans and credits, build the path from self-serve to enterprise, and set the pricing for every model we launch and every third-party model we serve. You'll build the pricing framework the rest of the company uses, and you'll be accountable for revenue growth, gross margin, and customer trust in equal measure. WHAT YOU’LL DO - Own self-serve pricing & packaging: partner with the Self-Serve Product Lead on our plan ladder and credit design, including allowances, rollover, top-ups, annual vs. monthly, and regional pricing. Run a continuous program of pricing and packaging experiments with Growth and Data. - Build the path to enterprise: design the triggers, team and workspace constructs, seat and credit-pool models, and commit and consumption contracts that move customers from self-serve to enterprise. Equip Sales with pricing playbooks, discount bands, and deal guardrails. - Create a company-wide pricing framework: publish Runway's pricing principles, value metrics, and decision process so any product team can price new features and products with confidence. Run a regular pricing council with Product, Finance, Research, and GTM. - Price our models: set launch pricing for every Runway model release, working with Research and Infrastructure on cost-to-serve. Define how model pricing evolves from launch through deprecation as inference costs change. - Own third-party model economics: set credit pricing and target margins for the partner models we serve, monitor competitive pricing, and work with Partnerships on vendor terms. Make per-model margin visible to the whole company. - Keep pricing changes trustworthy: own how we communicate every pricing change, from advance notice and in-product usage visibility to spend controls and customer FAQs. Changes should land as clearly as they were designed. - Build the team: hire and lead a small pricing team over time, and partner closely with billing engineering to turn decisions into systems. WHAT YOU’LL NEED - 10+ years across pricing, monetization, strategy, or strategic finance, with 5+ years directly owning pricing and packaging decisions. A track record of moving revenue, conversion, and margin, not just producing recommendations. - Deep experience with usage, credit, or consumption-based pricing. You can build a cost-to-serve and margin model from compute and inference inputs, and you understand how hybrid seat + usage models behave in the wild. - Experience across self-serve and sales-led motions. You've shipped pricing changes for PLG subscription products and designed the contracts and guardrails that support enterprise expansion. - Rigorous and experimental. You're fluent in pricing experiments, willingness-to-pay research, and cohort analysis, and comfortable in SQL and financial models. - You thrive in an environment with rapid pace and a high accountability culture. You make decisions with incomplete information and know when a pricing call needs more data and when it needs to ship. - Excellent written and verbal communication. You can drive a decision across Product, Finance, Research, and Sales, and explain a pricing change to customers in a way that builds trust. - Bonus: pricing experience at an AI lab, AI-native product, API or developer platform, or creative tools company; experience pricing third-party or marketplace offerings. Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Задачи: — Формировать ICP, позиционирование, офферы и гипотезы для сложной, осознанной аудитории IT-специалистов и управленцев. — Лично запускать, тестировать и оптимизировать Meta Ads, Google Ads, LinkedIn Ads и другие актуальные каналы, выстраивая весь путь клиента от рекламы и landing page до CRM, квалификации и выручки. — Организовать производство креативов, видео, сценариев, hooks и CTA, активно используя AI для создания, тестирования и локализации рекламных материалов. — Выстроить attribution-модели (GA4, GTM, Pixels, CAPI, UTM, CRM, offline conversions). — Управлять CAC, LTV, ROAS, payback, конверсиями на каждом этапе и unit-экономикой. — Внедрять связки через Make, n8n, Zapier, API, webhooks и AI-инструменты. — Создавать понятные процессы (SOP, dashboards), нанимать и развивать маркетинговую команду. — Обучать участников школы, передавать им реальные навыки, сопровождать их развитие. В первые 90 дней от вас хотят увидеть: — Работающие каналы привлечения и протестированный MVP. — Понятные конверсии и первые коммерческие результаты. — Прозрачную сквозную аналитику и понимание unit-экономики. — План масштабирования. Требования: — Сильный специалист (Growth & Performance Marketing), способный с нуля построить работающую систему роста бизнеса. — Любовь к креативу при опоре на цифры, performance-метрики и unit-экономику. — Сильное бизнес-мышление и готовность отвечать за итоговый коммерческий результат, а не только за лиды. — Способность быть hands-on руководителем на старте: лично зайти в процессы, показать работающую модель, а не только распределять задачи. Условия: — Remote из любой точки мира, важно быть на связи с командой. — Прозрачная оплата за результат с возможностью самостоятельно влиять на доход. — Возможность с нуля запустить продукт под руководством опытного фаундера с успешно реализованными бизнесами.

Задачи: — разрабатывать product positioning и messaging для B2B-аудиторий (enterprise, SMB), управлять линейкой продуктов и проводить customer development; — разрабатывать и запускать GTM‑стратегии новых продуктов, координировать их с менеджерами по продуктам, продажами и маркетингом, оценивать unit‑экономику и управлять воронкой от лида до сделки; — создавать и распространять sales‑enablement и экспертный контент (презентации, кейсы, white papers, блог, e‑mail‑рассылки) и готовить выступления на отраслевых конференциях; — обучать команду продаж продукту, разрабатывать battle‑cards, скрипты и FAQ, поддерживать подготовку предложений и налаживать feedback‑loop с продуктовой командой; — мониторить ключевые метрики (MQL, SQL, CAC, CPL, ROI, churn), анализировать воронку и win/loss, формировать отчётность и дашборды; — взаимодействовать с кросс‑функциональными командами (продукт, продажи, бизнес, дизайн, аналитика, исследования). Требования: — опыт в product marketing от 3-х лет; — понимание жизненного цикла B2B-продукта и enterprise‑sales‑cycle (включая ABM); — умение разрабатывать и реализовывать стратегии B2B‑продуктов, переводя технические фичи в бизнес‑ценность; — уверенная работа с CRM, BI‑инструментами и аналитикой; — опыт работы с unit-экономикой, бюджетированием, прогнозированием выручки; — опыт создания полного спектра B2B‑контента (landing‑page, sales‑kits, white‑papers) и запуск media/performance‑кампаний уровня T1/T2; — стратегическое мышление: видение продукта в рыночном контексте и ориентация на метрики, а не на «красивые» презентации; — отличные коммуникативные навыки для взаимодействия с продакт‑менеджерами, продажами, топ‑менеджментом и смежными отделами; — умение быть гибким и способным быстро адаптироваться в условиях неопределённости и при запуске новых продуктов. Условия: — оклад + годовой бонус; — ДМС с первого месяца работы, включая стоматологию; — оплачиваем 50% стоимости полиса ДМС для родственников; — страхование от несчастных случаев с 1 месяца работы; — материальная помощь в сложных жизненных ситуациях; — прием врачей общей практики и массаж в офисе; — консультация психологов и программа поддержки сотрудников; — отпуск 28 календарных дней + 3 дня за ненормированный рабочий день; — компенсация расходов на выбор сотрудника, например, на спорт, ипотеку или питание; — специальные предложения от партнеров и скидки от продуктов экосистемы МТС; — мобильная связь за счет компании и льготные тарифы для близких; — подписка на онлайн-кинотеатр KION, сервис МТС Музыка, книжный сервис Строки от МТС, безлимитные мессенджеры и соцсети; — собственный корпоративный университет, онлайн-библиотека и оплачиваемое внешнее обучение для карьерного развития.

Location: Remote; United States; New York; San Francisco Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - 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 an experienced, motivated Enterprise Account Executive to drive ElevenLabs’ growth across Financial Services: the banks, credit unions, insurers, lenders, and wealth managers people trust with their money, their families, and their futures. These institutions win or lose on trust and service at massive scale, under some of the most demanding regulatory standards anywhere. Their customers increasingly expect to talk, not type, whether they’re checking a balance, disputing a charge, filing a claim, or asking about a loan. Our ideal candidate learns fast, closes well from a warm introduction, and is passionate about AI voice technology. You’ll act as a strategic partner to institutions reimagining how they serve, sell to, and sound to their customers, safely and at scale. In this role you will: - Focus on prospecting and landing net-new customers to expand the market footprint that ElevenLabs has in the financial services industry. - Be able to balance a diverse pipeline of large financial institutions who require white glove experience with medium sized regional clients who require speed to close - Identify where conversational AI can drive growth, automation, or cost efficiency in customer-facing and internal workflows. Our public use cases include account inquiries, payment support, fraud triage, loan origination, claims processing, collections, and compliance verification. Others include caller verification, onboarding, policy servicing and renewals, and contact center coaching - Stay current on the conversational AI landscape, including competitive solutions, build-vs-buy dynamics, and emerging trends in AI governance and model risk - Develop and execute account strategies across the whole buying group (CX and Contact Center Operations, Digital and Product, Technology, and Risk, Compliance, Legal, and InfoSec), landing with one high-impact use case and expanding across lines of business - Partner closely with Forward Deployed Engineers to solution high-impact use cases, manage a successful Proof of Value, guide customers through model-risk, security, and architecture review, and set them up to scale in production - Partner closely with Legal teams to drive strategic, fast-moving negotiations - Serve as a trusted advisor on generative AI and voice, and share what you learn in the field to sharpen our Financial Services positioning, messaging, and references Requirements - At least 7+ years of quota-carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms - Financial services experience (banks, credit unions, insurers, lenders, payments) is preferred but not required. We weigh demonstrated adaptability and fast ramp in a new industry heavily - Proven success closing [six- and seven-figure] deals and managing complex, multi-stakeholder sales cycles - Proven ability to take a warm introduction through discovery, Proof of Value, and procurement to close - Experience selling to both technical buyers (product and engineering) and business buyers (CX, operations, digital), and to risk and compliance gatekeepers, translating complex technology into business value - Adept at deeply understanding a customer’s business and translating ElevenLabs’ capabilities into solutions that deliver against their needs - Proficient in enterprise procurement, security review, and legal processes, including regulated-industry vendor risk, model risk, and data protection reviews, and able to work autonomously as a cross-functional partner - Strong executive presence, the ability to build relationships with senior executives, and willingness to travel frequently for onsite client visits and conferences - High EQ, self-aware, and curious. Low ego and hands-on, comfortable running your own prospecting and deals - Comfort in an early-stage, high-growth environment, where ambiguity is the norm and the state of play changes rapidly - Passion for voice and conversational AI and how it can unlock transformative value for customers Location This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. There is a preference for candidates to be based in New York or San Francisco, with the option to work out of our office. #LI-REMOTE 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: New York; United States; San Francisco 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 team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - 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 an experienced, motivated Enterprise Account Executive to drive ElevenLabs' growth across Consumer Brands: the household names that millions of people call, shop with, order from, and fly with every day. That means everyday retail, grocery, CPG, quick-service restaurants, travel, hospitality and airlines. These companies win or lose on customer experience at massive scale, and their customers increasingly expect to talk, not type. Our ideal candidate is passionate about the transformative possibilities of AI voice technology and eager to act as a strategic partner, helping Fortune 500 and large-scale consumer companies reimagine how they serve, sell to, and sound to their customers. In this role you will: - Build and manage a growing portfolio of new accounts across QSR, grocery and retail, CPG, and travel and airlines to help ElevenLabs meet its revenue goals - Identify opportunities where conversational AI can drive growth, automation, or cost efficiency in both customer facing and internal agentic workflows, such as customer care, qualification and bookings, helpdesk, learning and development, brand voice across marketing and localization and many more. - Develop and maintain a deep understanding of the conversational AI landscape, including customer use cases, competitive solutions, and emerging trends like agentic commerce - Demonstrate expertise, or a strong willingness to learn, about how ElevenLabs' voice technology unlocks value across customer support, virtual agents, in-app assistants, and creative content - Develop and execute account strategies across the whole buying group (CX and Operations, Digital and Product, Marketing and Brand, Technology), landing with one high-impact use case and expanding across business units, brands, and markets - Partner closely with Forward Deployed Engineers to solution high impact use cases, manage a successful Proof of Value with end customers, and set up customers to scale successfully in production - Serve as a trusted advisor, educating clients on generative AI and voice, and help shape the Consumer Brands playbook: ICP, messaging, and references Requirements - 7+ years of quota-carrying enterprise sales experience in SaaS or technology, ideally with exposure to AI, generative AI, LLM-based products, or API-driven platforms - Experience selling to consumer-facing enterprises (QSR, grocery/retail, CPG, travel/hospitality/airlines) is a strong plus - Proven success closing seven-figure deals and managing complex, multi-stakeholder sales cycles - Experience selling to both technical buyers (product and engineering) and business buyers (CX, operations, marketing and brand), and translating complex technology into business value - Adept at deeply understanding a customer’s business and unique requirements for success, and translating ElevenLabs’ capabilities into solutions that deliver against their needs - Proficient in enterprise procurement, security review, and legal processes, with the ability to work autonomously and effectively as a cross functional partner - Strong executive presence, the ability to build relationships at the C-suite and board level, and willingness to travel frequently and proactively for onsite client visits and conferences - Comfort in an early-stage, high-growth environment, where ambiguity is the norm and the state of play changes rapidly - Passion for voice and audio AI and how it can unlock transformative value for customers Location This role is remote-first, so it can be executed from anywhere in the United States, however the ability to operate in EST, CST, or PST timezones is required. There is a preference for candidates to be based in New York or San Francisco, with the option to work out of our office. #LI-remote 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: United States (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity: We build Tempo , the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack. 2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants). Over the next year, you will help us: Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes. Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction. Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on. Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors. Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations. What You’ll Be Doing: As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team. Deliver significant technical projects. Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction. Own major components of Tempo. Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team. Build APIs for humans and agents. Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably. Contribute to operational excellence. Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts. Collaborate with Product and sibling teams. Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them. Mentor and support engineers. Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers. Participate in on-call for the services you help build, and contribute to incident response and post-incident learning. Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. Example problems you could work on These are the kinds of projects landing in 2026: Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant. Autoscaling end-to-end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down. Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads. Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges. Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise. Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero. What Makes You a Great Fit: Technical ownership. A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow. Solid systems experience. Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar. Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship. Strong Go, or a path to it. We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well. Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore. Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. Collaboration and clear writing. You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment. Bonus Points For: Experience with tracing, OpenTelemetry, or large-scale observability systems. Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents). Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads. Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes. Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses. Open-source contribution or maintainership, and comfort engaging a community in the open. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. How we work We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. In US, the OTE (On-Target Earnings)/Base compensation range for this role is USD $167,143 - $200,572. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Canada (Remote) Grafana Labs is the company behind Grafana Cloud, the fully managed observability platform trusted by more than 10,000 organizations to ensure reliability, resolve incidents faster, and optimize telemetry at scale. Built on open source and open standards and designed for interoperability across any stack, Grafana Cloud brings AI to observability and observability to AI, giving teams (and their agents) unified visibility so they can see, understand, and act on all their disparate data, wherever it lives, and move at the speed of their ambitions. Customers, including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce, rely on Grafana Labs. We are a 100% remote company with team members across 40+ countries, backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote position. We are seeking candidates in US and Canada. The Opportunity: We build Tempo , the open-source distributed tracing backend behind Grafana Cloud Traces and Grafana Enterprise Traces (GET). Tempo makes it easy to search traces, generate metrics from spans, and connect tracing data with logs, metrics, and profiles across the Grafana stack. 2026 is an inflection point for Tempo. After a major architectural upgrade and the launch of TraceQL metrics, we are shifting from foundational work to product and operational excellence, and evolving Tempo from a SaaS database into a platform that powers Grafana’s next generation of observability products (App Observability, Asserts, Traces Drilldown, and AI-driven assistants). Over the next year, you will help us: Make Grafana Cloud Traces “just work” for customers by eliminating rough edges, confusing limits, and hidden failure modes. Achieve operational excellence at scale as we grow from close to 50 cells today into triple digits this year, with autoscaling, parameterized rollouts, and aggressive toil reduction. Evolve Tempo into a platform enabler: higher-density APIs, trace aggregation, TraceQL metrics math, and machine/LLM-friendly interfaces that downstream products and agents can build on. Push performance further: faster query latency at hundreds of MB/s ingestion and performant 30-day query ranges to match competitors. Prepare Tempo for an agent-driven world: larger, burstier, higher-cardinality workloads, and new categories of AI-powered workflows, such as assistant-driven triage and “why is this slow?”- style investigations. What You’ll Be Doing: As a Senior Engineer on Tempo, you will own technical direction on the hardest problems in our roadmap and raise the bar across the team. Deliver significant technical projects. Take well-scoped, multi-month initiatives from problem framing through rollout, e.g., trace aggregation APIs, Limitless Tempo, autoscaling cells and customer limits, or query engine improvements. Partner with Staff engineers and the tech lead on broader, cross-team direction. Own major components of Tempo. Contribute to and own parts of ingestion, storage, query, and metrics generation. Write and present design docs, participate in design reviews, make sound trade-offs on performance, cost, and complexity, and document the “why” for the team. Build APIs for humans and agents. Help shape the next generation of Tempo’s interfaces (structured, deterministic, discoverable) so that Act 3 products, LLM-driven assistants, and external integrators can build on Tempo reliably. Contribute to operational excellence. Own outcomes for the areas you build against concrete SLOs (P99 write latency, incident recurrence, TCO per ingested GB), and help move the team toward Zero Ops through automation, parameterized rollouts, and actionable alerts. Collaborate with Product and sibling teams. Work with PMs and with App Observability, Asserts, Drilldown, and Grafana Assistant teams to understand how Tempo gets consumed and to ship what unblocks them. Mentor and support engineers. Raise the bar through thorough code review, constructive design feedback, and pairing, especially with junior and mid-level engineers. Participate in on-call for the services you help build, and contribute to incident response and post-incident learning. Contribute to open source. Tempo is OSS. You will engage the community, review external contributions, and contribute to the project in the open. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always with strong code review and quality standards. You'll also have access to the latest frontier models from OpenAI, Anthropic, and Google. Example problems you could work on These are the kinds of projects landing in 2026: Trace aggregation and higher-density APIs: extend TraceQL metrics, design LLM-friendly response types, and make Tempo a first-class data source for Grafana’s AI assistant. Autoscaling end-to-end: customer limits and Tempo cells, with hysteresis, predictive scaling for spikes, and safe scale-down. Agent-scale ingestion and query: guardrails for bursty, high-cardinality, agent-generated workloads. Query performance: new data formats, smarter query pipelines, targeted optimizations for common Drilldown and Traces workflows, and 30-day query ranges. Rollouts and multi-cell operations: parameterized rollouts, push-button deploys, and the tooling to grow safely into triple-digit cell counts without a proportional increase in alert noise. Limits and self-service: drive customer-facing configuration and observability so escalations trend toward zero. What Makes You a Great Fit: Technical ownership. A track record of delivering complex, multi-month projects that spanned design, delivery, and operations, and of helping the teammates around you grow. Solid systems experience. Significant hands-on experience building and operating distributed data systems in production: ingestion pipelines, storage engines, query execution, or similar. Strong software craftsmanship. You write clean, robust, performant software that others can maintain, and you know when to optimize vs. when to ship. Strong Go, or a path to it. We write Tempo in Go. Solid experience in other systems languages (Rust, C, C++) translates well. Operational mindset. You’ve owned production services, carried a pager, reduced toil, and treated SLOs as a product feature, not a chore. Customer focus and pragmatism. You break complex problems into short feedback loops: analyze, design, deliver an MVP, learn, iterate. Collaboration and clear writing. You contribute through design docs, reviews, and shipped code, and you communicate clearly in a fully remote, asynchronous environment. Bonus Points For: Experience with tracing, OpenTelemetry, or large-scale observability systems. Experience designing query languages, SQL/TraceQL-like engines, or APIs intended to be consumed programmatically (by services or agents). Experience with columnar storage formats (e.g., Parquet) or purpose-built on-disk formats for analytical workloads. Experience operating multi-tenant, multi-cell SaaS infrastructure at scale on Kubernetes. Experience building for AI/LLM consumers: structured APIs, metadata/discovery endpoints, deterministic outputs, evaluation harnesses. Open-source contribution or maintainership, and comfort engaging a community in the open. Experience as an on-call user of Grafana, Prometheus, Loki, or Tempo in a previous role (or on a homelab). Experience in a fully remote, globally distributed team. How we work We are a remote-first team that meets regularly over video and does most of our work asynchronously, in writing. We value creativity, diverse perspectives, and clear communication. Tempo is relied upon by prominent global organizations to monitor critical applications and infrastructure, and we expect everyone on the team, including our senior engineers, to contribute ideas that make it a more reliable, more useful, and more loved product. In Canada, the OTE (On-Target Earnings)/Base compensation range for this role is CAD $170,247 - $204,297. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose. Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment. Transparent Communication – Expect open decision-making and regular company-wide updates. Innovation-Driven – Autonomy and support to ship great work and try new things. Open Source Roots – Built on community-driven values that shape how we work. Empowered Teams – High trust, low ego culture that values outcomes over optics. Career Growth Pathways – Defined opportunities to grow and develop your career. Approachable Leadership – Transparent execs who are involved, visible, and human. Passionate People – Join a team of smart, supportive folks who care deeply about what they do. In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it. Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our privacy policy .

Location: Remote Poland, Poland Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. The Opportunity   OLX is looking for a Principal Product Manager to drive high-impact, zero-to-one initiatives across our Real Estate business (otodom.pl, imovirtual.com and storia.ro). This is a builder role focused on creating new value - not a people-management role. It's well-suited for someone who thrives on building new things, moving fast, and navigating a complex organisation to turn ideas into impact.   You'll lead 2–3 special initiatives in parallel, each scoped over 6–24 months. These could range from developing AI-driven capabilities and new monetisation models to building new product features that drive growth. We're hiring for mindset, not a fixed checklist.   You'll join the product leadership team and contribute to strategic direction across the area. The focus is on building, pushing, and delivering new value, complementing a team that excels at running and optimising the core business.    This role reports to the Director of Product and can be based in Spain, Portugal or Poland. Remote work is possible within these countries.   What You'll Do   Lead zero-to-one initiatives from concept to market validation to scaled delivery - own the vision, strategy, and execution. Build with AI as a daily lever - prototypes, agent-augmented workflows, AI-powered discovery and experimentation. Run lean experiments to prove product-market fit fast, with minimal bureaucracy. Present and defend your concepts to senior stakeholders - building alignment through evidence and conviction. Navigate a matrixed organisation: identify opportunities to move quickly, build coalitions, and drive progress without waiting for perfect alignment. Own the business case: connect product decisions to revenue and margin impact. Raise the bar for product craft across the team - set the standard through your work, share methods and examples, and act as a role model for what high-quality product thinking looks like in practice.   What We're Looking For   8+ years of product management experience with a proven track record of building and launching new products from zero to one - not just optimising what exists. AI native - you build with AI in your personal and professional life.  Entrepreneurial DNA - uncomfortable with "business as usual," driven to create new value. Fast and execution-driven - moves at pace, ships quickly, and creates momentum rather than waiting for perfect conditions. High product craft - rigorous discovery, lean experimentation, strong narratives, data-driven decision-making. Strong executive presence - able to defend a concept to senior directors and build alignment. Business and financial acumen - unit economics, P&L thinking, ROI-informed decisions. Ability to drive multiple initiatives in parallel with minimal oversight. Marketplace or two-sided marketplace experience is a plus. Comfort working in cross-functional, multicultural teams across multiple markets. Willingness to travel approximately every two months. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Lisbon, Portugal Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. The Opportunity   OLX is looking for a Principal Product Manager to drive high-impact, zero-to-one initiatives across our Real Estate business (otodom.pl, imovirtual.com and storia.ro). This is a builder role focused on creating new value - not a people-management role. It's well-suited for someone who thrives on building new things, moving fast, and navigating a complex organisation to turn ideas into impact.   You'll lead 2–3 special initiatives in parallel, each scoped over 6–24 months. These could range from developing AI-driven capabilities and new monetisation models to building new product features that drive growth. We're hiring for mindset, not a fixed checklist.   You'll join the product leadership team and contribute to strategic direction across the area. The focus is on building, pushing, and delivering new value, complementing a team that excels at running and optimising the core business.    This role reports to the Director of Product and can be based in Spain, Portugal or Poland. Remote work is possible within these countries.   What You'll Do   Lead zero-to-one initiatives from concept to market validation to scaled delivery - own the vision, strategy, and execution. Build with AI as a daily lever - prototypes, agent-augmented workflows, AI-powered discovery and experimentation. Run lean experiments to prove product-market fit fast, with minimal bureaucracy. Present and defend your concepts to senior stakeholders - building alignment through evidence and conviction. Navigate a matrixed organisation: identify opportunities to move quickly, build coalitions, and drive progress without waiting for perfect alignment. Own the business case: connect product decisions to revenue and margin impact. Raise the bar for product craft across the team - set the standard through your work, share methods and examples, and act as a role model for what high-quality product thinking looks like in practice.   What We're Looking For   8+ years of product management experience with a proven track record of building and launching new products from zero to one - not just optimising what exists. AI native - you build with AI in your personal and professional life.  Entrepreneurial DNA - uncomfortable with "business as usual," driven to create new value. Fast and execution-driven - moves at pace, ships quickly, and creates momentum rather than waiting for perfect conditions. High product craft - rigorous discovery, lean experimentation, strong narratives, data-driven decision-making. Strong executive presence - able to defend a concept to senior directors and build alignment. Business and financial acumen - unit economics, P&L thinking, ROI-informed decisions. Ability to drive multiple initiatives in parallel with minimal oversight. Marketplace or two-sided marketplace experience is a plus. Comfort working in cross-functional, multicultural teams across multiple markets. Willingness to travel approximately every two months. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Remote Portugal, Portugal Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. The Opportunity   OLX is looking for a Principal Product Manager to drive high-impact, zero-to-one initiatives across our Real Estate business (otodom.pl, imovirtual.com and storia.ro). This is a builder role focused on creating new value - not a people-management role. It's well-suited for someone who thrives on building new things, moving fast, and navigating a complex organisation to turn ideas into impact.   You'll lead 2–3 special initiatives in parallel, each scoped over 6–24 months. These could range from developing AI-driven capabilities and new monetisation models to building new product features that drive growth. We're hiring for mindset, not a fixed checklist.   You'll join the product leadership team and contribute to strategic direction across the area. The focus is on building, pushing, and delivering new value, complementing a team that excels at running and optimising the core business.    This role reports to the Director of Product and can be based in Spain, Portugal or Poland. Remote work is possible within these countries.   What You'll Do   Lead zero-to-one initiatives from concept to market validation to scaled delivery - own the vision, strategy, and execution. Build with AI as a daily lever - prototypes, agent-augmented workflows, AI-powered discovery and experimentation. Run lean experiments to prove product-market fit fast, with minimal bureaucracy. Present and defend your concepts to senior stakeholders - building alignment through evidence and conviction. Navigate a matrixed organisation: identify opportunities to move quickly, build coalitions, and drive progress without waiting for perfect alignment. Own the business case: connect product decisions to revenue and margin impact. Raise the bar for product craft across the team - set the standard through your work, share methods and examples, and act as a role model for what high-quality product thinking looks like in practice.   What We're Looking For   8+ years of product management experience with a proven track record of building and launching new products from zero to one - not just optimising what exists. AI native - you build with AI in your personal and professional life.  Entrepreneurial DNA - uncomfortable with "business as usual," driven to create new value. Fast and execution-driven - moves at pace, ships quickly, and creates momentum rather than waiting for perfect conditions. High product craft - rigorous discovery, lean experimentation, strong narratives, data-driven decision-making. Strong executive presence - able to defend a concept to senior directors and build alignment. Business and financial acumen - unit economics, P&L thinking, ROI-informed decisions. Ability to drive multiple initiatives in parallel with minimal oversight. Marketplace or two-sided marketplace experience is a plus. Comfort working in cross-functional, multicultural teams across multiple markets. Willingness to travel approximately every two months. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Barcelona, Spain Workplace: remote WELCOME TO OLX   We're building marketplace sustainable ecosystems that millions of people depend on every month – to buy and sell cars, find homes, land jobs, and trade secondhand goods. It's commerce that matters: safe, smart, and environmentally responsible.   We do this with courage to innovate, commitment to outcomes, collaboration across 50+ nationalities and 7 markets, and a customer-led approach that puts real people first. Add a desire to win – and you get a culture that's ambitious, fast-moving, and built on trust.   Our brands – including AutoTrader, OLX, Otomoto Property24, and more – are loved by millions. And we're backed by Prosus, one of the world's largest tech investors.   Join OLX and see how far you can go. The Opportunity   OLX is looking for a Principal Product Manager to drive high-impact, zero-to-one initiatives across our Real Estate business (otodom.pl, imovirtual.com and storia.ro). This is a builder role focused on creating new value - not a people-management role. It's well-suited for someone who thrives on building new things, moving fast, and navigating a complex organisation to turn ideas into impact.   You'll lead 2–3 special initiatives in parallel, each scoped over 6–24 months. These could range from developing AI-driven capabilities and new monetisation models to building new product features that drive growth. We're hiring for mindset, not a fixed checklist.   You'll join the product leadership team and contribute to strategic direction across the area. The focus is on building, pushing, and delivering new value, complementing a team that excels at running and optimising the core business.  This role reports to the Director of Product and can be based in Spain, Portugal or Poland. Remote work is possible within these countries.   What You'll Do   Lead zero-to-one initiatives from concept to market validation to scaled delivery - own the vision, strategy, and execution. Build with AI as a daily lever - prototypes, agent-augmented workflows, AI-powered discovery and experimentation. Run lean experiments to prove product-market fit fast, with minimal bureaucracy. Present and defend your concepts to senior stakeholders - building alignment through evidence and conviction. Navigate a matrixed organisation: identify opportunities to move quickly, build coalitions, and drive progress without waiting for perfect alignment. Own the business case: connect product decisions to revenue and margin impact. Raise the bar for product craft across the team - set the standard through your work, share methods and examples, and act as a role model for what high-quality product thinking looks like in practice.   What We're Looking For   8+ years of product management experience with a proven track record of building and launching new products from zero to one - not just optimising what exists. AI native - you build with AI in your personal and professional life.  Entrepreneurial DNA - uncomfortable with "business as usual," driven to create new value. Fast and execution-driven - moves at pace, ships quickly, and creates momentum rather than waiting for perfect conditions. High product craft - rigorous discovery, lean experimentation, strong narratives, data-driven decision-making. Strong executive presence - able to defend a concept to senior directors and build alignment. Business and financial acumen - unit economics, P&L thinking, ROI-informed decisions. Ability to drive multiple initiatives in parallel with minimal oversight. Marketplace or two-sided marketplace experience is a plus. Comfort working in cross-functional, multicultural teams across multiple markets. Willingness to travel approximately every two months. Diversity, Equity and Inclusion at OLX OLX values diversity and welcomes applicants of all races, ethnicities, disabilities, ages, genders, sexual orientations, religions, backgrounds, and experiences to apply. If this role excites you, we encourage you to apply, even if you don’t meet all the requirements - you may be just the right fit for this or other opportunities with us!   OLX will process your personal data to assess your fit for the applied position. You may optionally consent to store your data for up to 12 months after the application process for consideration in future OLX roles. For more details on how your application data will be processed please check our Privacy Statement.

Location: Amsterdam, Netherlands About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The role Nebius is looking for a Regional Intelligence Analyst based in Europe. The Europe Regional Intelligence Analyst will be responsible for developing an up-to-date and in-depth regional understanding of the environment in which Nebius operates across Europe, with a focus on countries, national, regional, and local authorities, sites, projects, and stakeholders relevant to the company’s operations and growth plans. The role includes monitoring and analyzing political, regulatory, legal, public, and infrastructure-related developments; assessing community activity and local activism; and identifying trends and changes involving energy, the power grid, environmental matters, planning, and permitting that may affect the company and its existing or planned projects. The Analyst will collect and integrate information from diverse sources and countries into regional assessments, country and site reviews, and decision-focused briefings. The role will support management and internal teams by identifying emerging risks, changes, and opportunities and providing the local, national, and European context required for planning and informed decision-making. Your responsibilities will include: Monitor and analyze political, governmental, regulatory, and legal developments at the national, regional, and local levels across Europe. Monitor changes in policy, legislation, permitting, and planning processes that may affect the company’s operations and existing or planned projects. Assess the local environment surrounding company sites, including community activity, activism, protests, and public sentiment trends. Map and analyze relevant stakeholders, including authorities, elected officials, local organizations, community groups, and professional bodies. Monitor media trends, public narratives, and reputational issues relating to the company, its sites, and its operations across European countries. Analyze developments involving the power grid, energy market, water, infrastructure, and environmental matters that may affect sites and projects. Identify emerging changes, risks, and opportunities of potential significance to the company’s regional operations. Prepare regional assessments, country and site reviews, profiles, alerts, and decision-focused briefings. Provide research support for site and project evaluations, executive visits, meetings, and business activities across Europe. Collaborate with internal teams to align monitoring activities and deliverables with the company’s business and professional needs. Maintain an up-to-date regional intelligence picture and provide ongoing reporting on material developments affecting the company’s sites and projects across Europe. We expect you to have: At least eight years of experience in regional research, commercial or business intelligence, risk analysis, policy research, political and regulatory research, or another relevant professional field. Demonstrated experience researching and analyzing the European environment at the national, regional, and local levels. Strong familiarity with government structures, legislative and regulatory processes, local authorities, and planning and permitting procedures across European countries. Ability to conduct in-depth research using open sources, databases, official documents, public records, legal and regulatory sources, media, and social media. Experience analyzing stakeholders, community activity, local activism, public trends, and reputational issues. Demonstrated ability to integrate information from different countries and sources, identify trends and early signals, and develop clear, well-founded assessments. Experience preparing reviews, assessments, and briefings for management and internal stakeholders. Excellent command of English, including the ability to read complex material and write and present findings to a high professional standard. Ability to work independently, manage multiple assignments, and meet deadlines while adapting to changing priorities. Sound judgment, accuracy, discretion, and the ability to handle sensitive information responsibly. Bachelor’s degree in a relevant field such as political science, international relations, law, public policy, economics, European studies, or a comparable discipline. It will be an added bonus if you have: Previous experience in a research firm, commercial intelligence firm, consulting firm, global company, or international corporate environment. Experience researching infrastructure, energy, the power grid, data centers, technology, or large-scale projects. Familiarity with site-evaluation processes, land use, permitting, environmental regulation, and local government across European countries. Experience supporting market entry, business expansion, or the evaluation of projects and transactions. Professional or academic experience in one or more European countries and direct familiarity with local business and public environments. Experience using artificial intelligence tools, digital research tools, professional databases, and Microsoft Office applications. Proficiency in Spanish, French, Finnish, or Estonian. Competencies & Behavioral Traits Strong research and analytical thinking. Understanding of political, regulatory, and public processes. Ability to integrate information from different sources into a clear regional picture. Ability to identify trends, changes, and early signals. Strong business understanding and the ability to assess the significance of information for the company. Sound judgment and the ability to distinguish between facts, claims, and assessments. Accuracy, thoroughness, and attention to detail. Ability to write and present conclusions clearly and concisely. Independence, initiative, and the ability to manage multiple assignments simultaneously. Ability to work effectively as part of a team and collaborate with internal stakeholders. Flexibility and adaptability to changing priorities and new subject areas. Reliability, personal accountability, and discretion. Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

About the Team: The FDE (Forward Deployed Engineering) team is a new, strategic initiative sponsored from the CEO and Founders down. Our mission is to win C-suite-sponsored, high-value AI opportunities by selling and delivering outcomes, not just a platform. You will be part of the founding team, embedded with our most strategic customers from the very first sales call, all the way through to a production-ready solution. You will be the "product manager" for the customer's problem, responsible for the "why" and "what," while our FDEs (Engineers) will be your partners responsible for the "how." Role Description: As a Deployment Strategist (DS), you are the critical bridge between a customer's multi-million-dollar business problem and Databricks' technical solution. You are a product manager for the field, owning the technical and product direction of the engagement from initial discovery through production launch and adoption. You will build C-suite trust, perform deep discovery to map the customer's political and technical landscape, and scope the value. You will define the Minimum Viable Product for a pilot, write the PRD that guides the engineering team, and manage the project to a successful landing. You will also lead technical discovery, shape solution architecture with FDEs, and ensure that each proposed solution can move from prototype to production. This role requires a rare combination of executive presence, deep product thinking, technical depth, and a hands-on delivery mindset. The impact you will have: C-Suite Scoping & Value Definition: — Partner with Sales to perform deep discovery, map the customer's organization, quantify the business value of $10M+ problems, and define the pilot, including its MVP, success criteria, and timeline. End-to-End Product Ownership: — Author the PRD, prioritize the engineering backlog, manage scope, and act as the primary hands-on QA tester. — Translate business requirements into clear data, integration, security, and operational requirements that engineers can build against. Technical Solution Leadership & Delivery: — Drive the FDE build team through an agile delivery process, manage stakeholders from the C-suite to individual engineers, and unblock technical or organizational issues. — Lead technical discovery and design reviews. — Understand the customer's data flows, integrations, platform constraints, and operational environment; pressure-test architecture choices; and identify technical risks early. Solution Launch & Landing: — Own the "Day 0" launch, manage the war room, and drive the solution from launch to full adoption by capturing user feedback, iterating, and proving the defined business value. — Own production readiness across data quality, testing, security, performance, and operations. — Work with the team to diagnose issues and drive them to resolution. Strategic Handoff & Growth: — Scope the ongoing maintenance plan, create customer documentation/training, and leverage your trusted advisor status to identify the next high-value FDE engagement. — Codify reusable solution patterns and bring field insights back to Product and Engineering. What we look for: Executive Presence & Communication: — You are a trusted advisor with strong executive presence and excellent communication skills. — You are confident and humble, can build rapport quickly, and can help senior stakeholders make difficult decisions. Product Judgment & Delivery: — You can define what to build and why, write strong product requirements, prioritize engineering work, manage scope, and lead complex agile software projects from an ambiguous problem to a measurable outcome. Technical Fluency & Architecture Judgment: — You understand modern data and AI architectures, including cloud platforms, data pipelines, data models, distributed systems, APIs, security and governance, machine learning, and generative AI application patterns. — You can lead architecture discussions, evaluate trade-offs, and pressure-test technical decisions. Hands-on Technical Ability: — You are proficient in at least one language such as Python, Java, or SQL. — You can explore data, work in notebooks, read and review code and pipelines, build or adapt prototypes, and contribute meaningfully to troubleshooting. Relevant Experience: — Typically 7+ years of experience delivering complex, customer-facing data, analytics, AI, or software engagements, or equivalent experience as a founder or technical builder. — You have helped deliver data, machine learning, or generative AI systems into production and understand the integration, operational, and adoption challenges that appear in real environments. — Experience in a high-growth technology company, forward-deployed organization, or leading consultancy is valuable. — You enjoy working onsite with customers (often 25-50%, sometimes higher) to drive delivery. About Databricks: Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion: At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance: If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.