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Location: US, San Diego, CA Workplace: OnSite Here at Humanoid, we believe in a future where robots amplify human potential. That’s why we’ve set out on a mission to build the world’s most capable, commercially-scalable, and safe humanoid robots. We’re bringing that mission to life with HMND‑01 - our rapidly developed humanoid platform being deployed in real industrial environments - and we’re growing the team to take it even further. About The Role As Director of Autonomy at Humanoid, you will lead the team that teaches our bipedal platform to perform locomanipulation tasks in homes and service environments: tidying a room, loading and unloading a dishwasher, putting groceries away, folding laundry, and similar tasks. The output of your team is capabilities that run reliably on real robots and pass our evals, not papers or one-off demos. This is a player-coach role: you own the roadmap, hiring, and delivery, while also training policies, curating data, and debugging failures on the robot yourself. That hands-on work is how you lead: it's how you find what slows the team down and fix it for everyone. This role sits at the intersection of applied deep learning, robotics, and people leadership, working closely with the Controls team on whole-body teleoperation and combining RL controllers with learned policies, and with the Core Technology team on foundation model pre-training for five-finger dexterity and RL methods. If you have hands-on experience with real robot hardware, a track record in applied deep learning, and have led engineers doing this kind of work, we want to hear from you. What You'll Do - Own The Capability Roadmap: Work with product to identify use-case priority, choose the execution strategy, define the evals, and deliver on the agreed timeline. - Lead The Team: Hire, develop, and manage a team of robot learning engineers; set engineering and experimental standards; run day-to-day prioritization. - Co-Own The System 0/1 Interface: Agree with the Controls team on what the policy commands (end-effector targets, root velocity, pelvis height, foot targets, hand joint targets), debug failures across that boundary, and push requirements into the whole-body control roadmap. - Partner On Data Strategy: Specify what good data looks like for bipedal locomanipulation with data collection and external acquisition organizations, ensure diversity and coverage, iterate on operator instructions, and supervise collection on the biped. - Drive Sim-To-Real Transfer: Work with the Simulation team to set up RL training on the digital twin for bipedal tasks, then iterate on reward and simulation quality to ensure transfer to the real world. - Shape Base Model Development: Feed bipedal requirements — embodiment coverage in the pretraining mixture, action representations, latency budgets — into the VLA Core Technology team's base model development, and adopt new base models as they land. - Inform Hardware Design: Interface with the Hardware Design team so findings about hands, arms, and legs on the current generation are reflected in future designs. - Report On Progress: Communicate progress to leadership in terms of capabilities working on the robot, eval results, and failure analysis. WHAT WE'RE LOOKING FOR - 5+ years working on robots (industry or research) with shipped artifacts to show for it, including learned manipulation or locomanipulation policies deployed on real hardware. - Experience leading a team of 5+ engineers doing applied robot learning, including hiring and people management, with capabilities delivered to a deadline. - Hands-on today: you've trained and debugged policies within the last year and intend to keep doing so, and can curate data, post-train a policy, and diagnose failures without delegating that work. - Experience post-training VLA-class policies (autoregressive, diffusion, or flow-matching based) via behavior cloning and/or RL. - Solid understanding of the modern teleoperation and low-level control stack — whole-body control, inverse kinematics, RL locomotion controllers — and the ability to tell whether a failure lives in the policy, the controller, or the data. - Familiarity with deep learning infrastructure: streaming datasets, checkpointing and state management, distributed training, PyTorch or JAX. - Strong grounding in modern software engineering practices, with the ability to document experiments clearly and communicate trade-offs crisply to engineers and leadership. NICE TO HAVE - Experience with multi-fingered dexterous hands: teleoperation and retargeting, tactile sensing, in-hand manipulation. - Experience with legged platforms: bipedal locomotion, whole-body control, humanoid teleoperation. - Experience applying RL to robotics problems in simulation or on real robots. - Familiarity with Physical Intelligence (π) models, NVIDIA GR00T, or similar open VLA frameworks. - Publications at top-tier robotics or deep learning conferences (CoRL, RSS, ICRA, NeurIPS) or equivalent open-source contributions. WHAT WE OFFER - Comprehensive health coverage for US‑based employees, including fully paid medical, dental, and vision insurance, with virtual care and employee assistance resources. - Meaningful time off to rest and recharge: 23 days of PTO (accrued), separate sick leave, and paid company holidays. - 401(k) retirement plan with 4% employer match. - Competitive equity: stock options with meaningful upside as we scale. - Free daily catered lunch, snacks, and drinks in‑office. - Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics. - Freedom to influence the product and own key initiatives. For this role in California, the expected base salary range is $300,000-$450,000 USD per year; your placement in that range depends on how experience maps to our internal leveling.

Location: London, UK Workplace: Hybrid Sensor Tower’s digital intelligence platform provides unparalleled insight into market trends, advertising, competitor’s strategies, and consumer/user audience across mobile, web, and gaming. Sensor Tower’s insights are trusted by more than 2,500 enterprises worldwide across tech, retail/commerce, entertainment/media, gaming, consumer packaged goods and finance. Regional Marketing Manager EMEA Sensor Tower Location: London, UK Work arrangement: Hybrid, with 2-3 days per week in the office Organization: Marketing Level: Director; initially an individual contributor, with future team leadership About the role Sensor Tower is seeking a Regional Marketing Manager to drive marketing across Europe, the Middle East, and Africa (EMEA). Based in London, you will help create and implement Sensor Tower’s regional marketing strategy, building awareness, generating demand, and supporting pipeline growth in partnership with regional Sales and our global Marketing organization. This is a broad marketing role with an emphasis on product marketing and brand marketing. You will develop a strong grasp of our products and customer use cases, translating complex capabilities into clear, persuasive messaging for EMEA audiences. Working closely with Product, Sales, Engineering, and Customer Success, you will contribute regional insights to global launches and adapt global programs for local markets. This is a director-level position that will begin as a hands-on individual contributor. You will set priorities, write content, and deliver programs directly, while establishing the foundation to build and lead an EMEA marketing team over time. What you will do - Drive the EMEA product marketing strategy and plan, aligning regional priorities with sales goals, global go-to-market strategies, and opportunities across the region. - Work with Product and Engineering to understand product capabilities and translate technical information into customer value propositions and relevant use cases. - Partner with global Marketing and Product on product and feature launches and beta programs, bringing EMEA buyer needs into planning and leading regional messaging and activation - Help plan and execute integrated campaigns across content, email, digital channels, account-based marketing, and events to generate qualified pipeline and support deal progression. - Collaborate with other marketing leaders on regional events. - Equip regional Sales teams with localized pitch decks, competitive battlecards, product presentations, and case studies that address customer needs and objections. - Gather customer feedback, competitive intelligence, and market insights across EMEA. Share actionable findings with global teams to inform product and marketing decisions.   - Establish scalable marketing processes, identify future hiring needs, and build and develop the regional marketing team as the function grows. What you will bring - Significant B2B marketing experience, with a track record of driving regional strategy and delivering results at a senior or director-level scope.   - Exceptional writing and editing skills in English, including the ability to explain complex products and data clearly to different buyer audiences. - Experience adapting global strategies for EMEA, with an understanding of regional differences in buying behavior and market needs. - The ability to build product knowledge quickly and partner effectively with Product and Engineering on messaging and launches. - Strong cross-functional collaboration and influence, including partnership with regional Sales and global teams across time zones. - Experience using CRM, marketing automation, and analytics tools to measure performance and guide decisions. - Sound strategic judgment and prioritization, with the willingness to execute directly and the leadership skills to build a team over time. - Broad hands-on experience across demand generation, field marketing, content, and account-based programs, with evidence of pipeline impact Preferred experience - Experience in SaaS, MarTech, AdTech, digital market intelligence, or data products. - Experience hiring, mentoring, or managing a marketing team. - Familiarity with Salesforce, Looker, or buyer intent platforms. - Additional language skills relevant to EMEA markets. Fraud warning: It's common for scammers to create positions that look legitimate on other sites. To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. At no point will Sensor Tower ever ask for money, credit card, or bank account information to complete a job application. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower.com http://sensortower.com. All Sensor Tower interviews will be conducted via phone or Zoom. At no time will a conversation be moved to an alternative email outside of sensortower.com http://sensortower.com or text. Should an issue arise that you feel we should be aware of, please contact us. Please provide your resume when applying. To all recruitment agencies: Sensor Tower does not accept third party resumes. Please do not send resumes to our jobs alias, Sensor Tower employees or any other organization location. Sensor Tower is not responsible for any fees related to unsolicited resumes. Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Remote - US West About the Job: We're looking for a senior security leader to run our Product Security team and partner to the Director of Security. In this role, you'll own how Security operates: a program led by risk rather than audit calendars, where engineering teams own their security health and Security informs, guides, and validates, where automation and AI take the first pass on every finding, and where posture is measured and published to executives every quarter. You'll build that model, starting with Product Security and extending across the division. You'll bring a balance of people management, security judgment, and program leadership as you manage a team of security engineers, act as incident manager of record, hold delegated approval for vendor and access decisions, and run the division when the Director is in an audit, a board cycle, or on vacation. You'll work closely with every engineering team to make the secure path the easy one. Responsibilities: Manage the portfolio of your team's work, appropriately managing everyone's time and assigning them to the highest priority work. Help your team and the engineering organization make sense of, and simplify, how security work gets done: who owns what, what is automated, and what Security stops doing. Guide product engineering teams in owning their own security health: findings route to them with mapped severity, Security reviews and validates rather than fixes, and each team sees its security health in its own service review. Own the wiring and routing of security findings and requests, driving down noise and the human-decision rate across intake, triage, and review. Serve as incident manager of record for security incidents: first escalation for our service-level commitments, delegated approver for vendor and access decisions, and cover for the Director's operational duties. Publish posture: monthly service-level attainment to engineering, quarterly posture to the executive team, and a risk register that drives priorities. About You: You have led a security team out of the gatekeeper model once already, and you can say what teams owned afterward, what Security stopped doing, and what the numbers did. You think in risk, not control lists, and you would rather defend a priority call than a checklist. You treat automation and AI as the first responder and yourself as the escalation path. You have been the second leader to a director or CISO and know which decisions to make in their name. You have run security incidents end to end, including the comms and the review afterward. You were a strong Senior or Staff security engineer before you managed, and you can still read a PR, a threat model, or a cloud finding and make a call. You track and drive metrics, and you understand what they can and can't tell you. Qualifications: 5+ years of experience in a formal security or engineering management role, including managing senior engineers. Experience moving a security function from gatekeeper to team ownership, with measurable results. Experience as incident manager for security incidents at a SaaS company, including external communication. Experience guiding teams through technical tradeoffs and developing senior engineers' careers. The ability to track and drive metrics, and the wisdom to understand what they can and can't tell you. Familiarity with AWS security at scale and with external audits (SOC 2, ISO 27001, or FedRAMP) as a participant or control owner. Excellent communication skills with both technical and non-technical stakeholders. A thoughtful, empathetic approach to leadership and collaboration. Pay: Target pay ranges based on Geographic Zones* for Level M3: Zone 1: San Francisco/Bay Area or NYC Metropolitan Area, Boston, Seattle - $240,600 - 330,700* Zone 2: Irvine, LA, Monterey, Santa Barbara, Santa Rosa, Austin, Portland, Philadelphia, Chicago - $216,500 - 297,600 ** Zone 3: All other US locations - $ 204,500 - 281,100 ** All Zones Inclusive of 15% Bonus Target LaunchDarkly operates from a place of high trust and transparency; we are happy to state the pay range for our open roles to best align with your needs. Exact compensation may vary based on skills, experience, and location. *Within the United States, our geographic pay zones are defined by counties surrounding major metropolitan areas. **Restricted Stock Units (RSUs), health, vision, and dental insurance, and mental health benefits in addition to salary. About LaunchDarkly: Modern software delivery was supposed to be the foundation for a thriving digital business but reality has proven otherwise. Slow, inefficient development cycles, costly outages, and fragmented customer experiences are preventing developers from building their best software. The LaunchDarkly platform helps developers innovate on new features faster while protecting them with a safety valve to instantly rewind when things go wrong. Developers can target product experiences to any customer segment and maximize the business impact of every feature. And by gradually rolling out new application components, they escape nightmare "big-bang" technology migrations. The LaunchDarkly platform was built to guide engineers to the next frontier of DevOps by: Improving the velocity and stability of software releases, without the fear of end customer outages Delivering targeted experiences by easily personalizing features to customer cohorts Maximizing the business impact of every feature through the ability to experiment and optimize Coordinating the release and optimization of software to provide consistent experiences across mobile platforms and device types Improving the effectiveness and productivity of engineering teams, by providing insights into engineering cadence and stability At LaunchDarkly, we believe in the power of teams. We're building a team that is humble, open, collaborative, respectful and kind. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, veteran status, or disability status. LD invites any applicant to review our written Affirmative Action Plan. To do so, contact People Ops at hr@launchdarkly.com . Do you need a disability accommodation? Fill out this accommodations request form and someone from our People Operations team will contact you for assistance. Your safety matters to us. To protect yourself from potential scams, LaunchDarkly recruiters will only contact you from @LaunchDarkly .com email addresses or via LinkedIn from "Verified Recruiter" accounts. Be cautious of emails from other domains.  Legitimate LaunchDarkly recruiters will never ask for money, fees, or banking information before making a job offer. LaunchDarkly will never make a job offer without conducting a formal interview process. Our interview process does not involve asking detailed questions by email. If you are ever unsure about a communication that you receive, don't click any links—visit Careers | LaunchDarkly directly for confirmed job openings and links to apply. Please notify us of any fraudulent representation by sending an email to careers@launchdarkly.com .

Location: San Francisco, CA; New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we’re at a stage where we’re continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. ABOUT THE ROLE: We’re hiring a Sales Development Manager (New York City or San Francisco) to lead and scale our founding SDR team at LangChain. Our SDRs play a critical role in helping companies adopt LangChain and LangSmith. They engage technical buyers, convert high inbound interest into qualified opportunities, and work closely with our sales and marketing teams to build pipeline. This role will own the performance, coaching, and development of the SDR team, while helping design the systems, processes, and workflows that power their GTM motion. You’ll partner closely with sales, marketing, and and RevOps to continuously improve how we identify and engage the right accounts. WHAT YOU'LL DO: - Lead and coach a team of SDRs responsible for generating qualified pipeline - Own SDR performance including activity metrics, conversion rates, pipeline creation, and attainment - Recruit top SDR talent and grow the team as LangChain continues to scale - Develop SDR talent through coaching, call reviews, and structured feedback - Build repeatable outbound and inbound qualification playbooks - Partner with marketing to convert inbound demand into qualified opportunities - Work with sales leadership and RevOps to align on target accounts, territories, and pipeline goals - Implement systems and workflows that improve SDR productivity and effectiveness - Use data to continuously improve performance, analyzing conversion rates across the funnel HOW TO BE SUCCESSFUL IN THIS ROLE: - Have 5+ years of experience in sales development - Have 1–3+ years managing SDRs or leading a sales development team - Are comfortable working with technical products and developer audiences - Have experience with modern GTM tooling (AI Agents, LinkedIn Sales Nav, Power Dialers, etc.) - Are highly data-driven and comfortable managing performance through metrics - Are passionate about coaching and developing early-career sales talent - Thrive in fast-moving environments where processes are still evolving - Have strong communication and organizational skills Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Podcast Media Manager at Anthropic, you will own how Claude shows up in podcasts, one of our most important channels for reaching professionals and knowledge workers. This is not a traditional media buying role. We're looking for someone to build a refreshed, proactive podcast strategy: securing the right shows before they're obvious, going beyond standard ad reads, and creating unique partnerships that fully integrate our product into shows in ways no other brand is doing. In this role, you'll own our podcast program end to end, from annual strategy and show selection through network buys, scripts, pacing, and reporting across 100+ shows. You'll sit on the influencer marketing team and partner closely with growth marketing on performance goals and in-house campaigns, brand marketing on major campaign flights, enterprise marketing on B2B buys and scripts, creative and copy teams on reads and refreshes, comms teams on messaging and media buying teams/agencies on execution. Key responsibilities Own podcast strategy for Anthropic, setting where we show up instead of reacting to inbound pitches Lead podcast strategy flights for major campaigns end to end, from planning through reporting Manage network buys across major audio publishers including Spotify, Amazon, NYT, and others Develop year-long buys with top shows and media outlets, identifying and pitching partners before they come to us Build partnership packages that go beyond ad reads to include bonus episodes, video, live events, and social Partner with creative and copy teams as their main point of contact on podcast work, establishing a repeatable process for scripts and copy points Manage voice-actor reads and QA spots before they air Develop a refresh cadence for reads so messaging stays current across 100+ shows, tailored to each show's audience Manage agency relationships, pushing partners to deliver the best rates, placements, and ideas Track pacing across buys and shift budget as performance data comes in Present results and learnings back to the team on a regular basis Partner with growth, brand, and enterprise marketing to align podcast plans with performance goals, campaign flights, and B2B objectives Minimum qualifications Have deep experience in podcast media buying at a tech or consumer company with a substantial podcast budget Have managed podcast programs in-house directly, not only through an agency Have run both agency partnerships and in-house podcast programs, and know how to get the best work out of each Are skilled at managing and pushing media agencies to secure strong rates, placements, and ideas Can spot up-and-coming shows before they're obvious and back your picks with a clear rationale Bring creative ideas that go beyond the standard ad read, from bonus episodes to live events to product integrations Are comfortable owning the details of execution, including scripts, QA, pacing, and reporting, alongside long-range strategy Work well across many partner teams and can build repeatable processes that scale Enjoy shaping a program from the ground up rather than maintaining an existing playbook Are excited about Anthropic's mission to develop AI that is safe and beneficial Preferred qualifications Experience negotiating year-long or multi-format partnerships with top shows or networks A background in copywriting or close collaboration with creative teams on host-read scripts Familiarity with B2B audiences and enterprise-focused podcast buys Experience with podcast measurement, attribution, and incrementality testing Relationships with major audio publishers, networks, and independent hosts Experience extending podcast partnerships into video, social, or live formats Familiarity with AI products or the broader developer and knowledge worker audience 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: $200,000 — $255,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers its members to improve their health and perform at a higher level by providing a deep understanding of their bodies and daily lives. The Health team develops the algorithms and features that expand WHOOP's health sensing capabilities. The work spans women's health, wellness and longevity, member insights, emerging health signals, and software as a medical device. Applied ML Scientists and ML Engineers work as a production unit: scientists own problem framing and modeling; engineers own the path to production. As a Senior Manager, Machine Learning on the Health Insights team, you will own delivery and people outcomes across a mixed team of scientists and engineers. You will translate department strategy into clear quarterly plans, develop senior ICs (and, as the team grows, the next layer of managers), hire against a high bar for both crafts, and partner with Product and adjacent Health partners on what is worth building and what the data can support. You will stay close enough to the ML lifecycle to evaluate the team's most important decisions without becoming the default contributor. Success in this role requires enough ML and health-domain fluency to earn trust from senior ICs, plus the people-leadership skill to grow that team, hold delivery across multiple workstreams, and make prioritization calls under uncertainty. RESPONSIBILITIES: - Own delivery, team health, and people outcomes across Health ML workstreams on a mixed Applied ML Scientist and ML Engineer team. - Translate department strategy into quarterly plans, milestones, and success criteria; keep the team on the highest-leverage work and adapt deliberately as priorities shift. - Build the team: lead hiring across science and engineering roles, calibrate the bar for each craft, and shape onboarding, leveling, and growth practices. - Develop the next layer of leadership: coach senior ICs (and managers, as the scope grows), manage performance with clarity and care, and create the conditions for people to operate above their level. - Set the standard for how Health ML gets built: work quality, evaluation rigor, review practices, and an operating model that holds as people and workstreams change. - Partner directly with Product (and with clinical, software, and Digital Health partners as the work requires) to align on roadmap, evidence, and sequencing; broker trade-offs between iteration speed, scientific integrity, and member value. - Own the risk posture for the team: anticipate execution, technical, and people risks, design mitigation into how the team operates, and keep senior leadership clearly informed of the most consequential decisions. - Define and own the operating model: planning cadences, design reviews, decision forums, and quality gates appropriate to member-facing health ML. - Build and continuously raise AI-enabled workflows that create measurable leverage across the team, for development, evaluation, documentation, and stakeholder communication. - Represent the team's work credibly to executive and cross-functional audiences with brevity, evidence, and clarity. QUALIFICATIONS: - 7+ years of experience in machine learning, applied science, or software engineering, with 3+ years managing engineering and/or science teams. - Bachelor's degree in Computer Science, Engineering, Applied Math, Biomedical Engineering, or a related field; advanced degree preferred. - Demonstrated track record managing highly senior ICs: hiring, performance management, and developing people who in turn raise the bar around them. - Deep familiarity with the ML development lifecycle (data collection, model training, evaluation, validation, deployment, and monitoring), sufficient to evaluate the most important technical and methodological decisions the team makes. - Experience shipping algorithms or ML-enabled product in health, wearables, digital health, or a closely related applied domain. - Demonstrated ability to set direction and make timely prioritization calls under uncertainty, keeping team focused on the highest-leverage work. - Demonstrated AI-tooling sophistication: a track record of building or adopting AI-enabled workflows that materially improved team speed, quality, or decision confidence. - Clear, high-signal communicator who can move fluidly between technical ML discussions and executive-level summaries of risk, trade-offs, and direction. - Depth in a Health domain WHOOP already works in preferred (member insights, women's health, cardiometabolic or respiratory health, sleep, strength / healthspan, neuroscience, or related physiological time-series work). - Preferred experience as a counterpart to Product on ambiguous health or member-insight problems: scoping, sequencing, and pushing back when a claim is not supportable. - Familiarity with clinical validation, evidence packages, or Digital Health partnership on higher-stakes health features preferred.   Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply.   WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/ to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.   The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values.   At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success.   The U.S. base salary range for this full-time position is $170,000 - $230,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training.   In addition to the base salary, the successful candidate will also receive benefits and a generous equity package.   These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.   Learn more about WHOOP https://www.whoop.com/us/en/careers/?srsltid=AfmBOopKmph9d0DLBlogZu8mx6do0dzjNS8eJlfc4PQqQtdU6F8DGKBg.

Sierra is looking for a Strategist in Agent Development for Travel Transportation and Hospitality. Задачи: — Разрабатывать и запускать AI агентов — Консультировать корпоративных клиентов Требования: — Опыт работы с AI, системной архитектурой, API, prompt engineering, data model, RAG, conversation design, evaluation Условия: — Работа в офисе в Сан-Франциско — Зарплата от $200,000 до $290,000 в год

Разработка и реализация стратегии управления данными и AI. Создание КХД / Data Lake / Data Mesh как единого источника истины.

Location: Hamburg Workplace: Hybrid adjoe builds the technologies behind mobile apps growth and monetization. With our core product Playtime Arcade, we've become the global leader in rewarded advertising, an ad unit built on a simple premise: users earn real in-app rewards for engaging with new apps. The result is one of the most effective value exchanges in adtech, connecting advertisers and publishers with over 770 million users annually. Investigating 770 Million User Interactions Across a 100TB Data Lake When a platform serves 770 million users, every optimization from reward mechanics to SDK integrations needs to be grounded in data. The Rewarded Analytics team builds the internal dashboards, alerting systems, and data pipelines that monitor the user funnel, traffic engagement, and reward consistency. SQL and Python power deep-dive investigations and automated 100 terabyte-sized data analyses queried through Trino. Using Tableau as the main visualization tool, stakeholders have access to real-time insights on the product performance. Airflow orchestrates the pipelines that keep everything up to date. This team provides the data that turns questions into answers: every A/B experiment the product team runs, every anomaly a publisher flags, and every new SDK integration. These answers guide all the business decisions. Your Mission & Who We Are Looking For: - Data analyst with a strong technical foundation. You have 5+ years as a Data Analyst and work fluently in both SQL and Python, writing complex queries, big data optimizations, and analysis pipelines to support product and growth initiatives. - Master of experimentation and A/B testing. You have deep experience designing experiments, calculating sample sizes, managing variance reduction techniques, and analyzing A/B/n tests to ensure statistically sound business decisions. - Statistically grounded. You can reason confidently about core statistical concepts—hypothesis testing, confidence intervals, p-values, power analysis, and Bayesian vs. Frequentist approaches—and apply them to real-world product decisions. - Not a stranger to anomaly detection. You have experience working with anomaly detection algorithms and approaches like distribution analysis and cross-population comparison to monitor test guardrail metrics and identify unexpected shifts in experiment data. - You own the systems, not just your slice. You understand the end-to-end telemetry and feature flagging systems that power experimentation. You can speak to data flows, event tracking pipelines, architecture tradeoffs, and why things were built the way they were. - Automation-minded across the stack. You think beyond one-off test analyses and build automated experiment reporting dashboards, reusable analytical frameworks, and data visibility solutions. Experience with dbt, Airflow, or experiment platforms (e.g., Optimizely, GrowthBook) is a strong plus. - Collaborative and business-aware. You work closely with product managers, engineers, and growth leads to translate complex statistical results into clear, actionable recommendations that drive executive decision-making.   🌎 We welcome applications from talent worldwide and provide relocation support to Hamburg, Germany for those ready to join our team. What’s in It for You? At adjoe, you’re not here to just close JIRA tickets, you’re helping build the infrastructure behind one of the most impactful platforms in adtech. The systems you work on will reach hundreds of millions of users and power billions of decisions every day. - Go Big. Own projects with impact on 770M users and push adtech boundaries. - Move Fast. Ship solutions multiple times a day, learn from results, and keep momentum. - Be Direct. Solve problems openly and collaborate across teams. - Thrive Together. Grow with a diverse, global team of people from over 40 different countries that learn from each other. - Have Fun. Celebrate wins, enjoy daily victories, and bring your energy. We welcome applications from people who will contribute to the diversity of our company.

Location: Singapore About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role You will play a critical role in scaling our revenue by managing complex deals and developing standardized processes that balance speed with control. You'll work at the intersection of finance, sales, and legal teams to ensure our products reach customers to support Anthropic's rapid growth while maintaining the financial discipline and risk management practices essential for a frontier AI company. You'll have the opportunity to build scalable processes from the ground up and directly impact some of our most strategic customer relationships. Key responsibilities Financial Analysis: Conduct growth and margin analysis, discount impact assessment, and deal profitability modeling to support data-driven decision making Deal Structure Optimization: Collaborate with sales teams to structure deals that meet customer needs while protecting Anthropic's financial and strategic interests Deal Review and Approval Management: Review and analyze enterprise deals exceeding standard parameters, focusing on pricing structures, contract terms, and financial implications Cross-Functional Coordination: Serve as the primary liaison between sales, finance, legal, and compliance teams throughout the deal lifecycle, ensuring smooth coordination and timely approvals Risk Assessment: Evaluate potential risks in non-standard deal terms and escalate appropriately to senior stakeholders Policy Implementation: Help develop and maintain deal approval policies, pricing guidelines, and exception handling procedures aligned with company objectives Process Development: Create and refine approval workflows, escalation procedures, and standardized templates that enable efficient processing of complex deals while maintaining appropriate controls Documentation and Reporting: Maintain comprehensive deal documentation and provide regular reporting on deal strategy metrics, trends, and performance Minimum qualifications Experience in deal strategy, deal desk, finance, sales strategy and operations, or related analytical roles, preferably in a high-growth technology environment Possess hands-on experience building sophisticated financial models, conducting pricing optimization, and structuring complex deals Have excellent communication and stakeholder management abilities, with proven success coordinating across multiple departments Are detail-oriented with strong process improvement instincts and the ability to design scalable workflows Have experience with CRM systems, CPQ tools, and contract management platforms Can work effectively in fast-paced, ambiguous environments while maintaining accuracy and attention to detail Have a collaborative mindset and enjoy solving complex problems through cross-functional partnership Preferred qualifications Have 5+ years of relevant experience Experience at a SaaS, cloud, or AI/ML company with complex enterprise sales cycles Background in consulting, investment banking, or other roles requiring deep analytical and strategic thinking Experience with deal desk operations at companies with subscription and consumption-based business models Knowledge of enterprise software contract terms and industry-standard commercial practices Understanding of AI business models and the unique commercial considerations Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Hybrid - San Francisco About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the role As a People Systems Manager, Workday, you'll own how People technology operates at Vercel, building the architecture, security, and governance behind Workday as we scale toward public-company-ready operations. This is a hands-on IC role: you'll design a headless Workday experience where employees and managers initiate transactions and access data from the tools they already use, partnering with integration engineers to connect Workday's security model and Business Process Framework to those experiences. This is a hybrid role based in San Francisco, Austin, or New York City, with three days a week in the office. What you'll do Own the configuration, security architecture, and Business Process Framework that power Workday at Vercel, making the architectural calls that balance flexibility, scalability, and control as we grow Partner with integration engineers to design business processes and security for transactions initiated through Slack, internal apps, and other tools, extending Workday beyond its native interface without compromising governance or data integrity Establish role-based security, segregation of duties, change management, and audit controls from the ground up, and own release management and regression testing to support SOX, SOC 2, and public company readiness Configure and optimize business processes for core People operations, equity, commissions, one-time payments, and clawbacks, partnering with Finance, Total Rewards, Payroll, and Legal to bring new capabilities into Workday accurately and auditably Set standards for data governance, reporting architecture, calculated fields, and data quality, and partner with auditors on evidence, walkthroughs, and remediation What you need 5+ years of hands-on Workday HCM experience across security, business processes, reporting, and core configuration Deep knowledge of Workday's security architecture and Business Process Framework, including role-based access, security groups, approvals, and segregation of duties Experience building or evolving a Workday environment's governance, including SOX-aligned internal controls, configuration standards, and audit readiness Workday reporting and data management experience, including calculated fields, advanced and composite reports, and experience in interconnected HR technology environments where Workday changes affect downstream systems Bonus if you Have experience with Workday Payroll or complex compensation processes, including equity and commission payments Have helped a high-growth technology company scale its People Systems infrastructure or prepare for an IPO Have used AI or automation to improve system administration, data quality, controls, or operational efficiency Compensation & Benefits: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The San Francisco, CA base pay range for this role is $167,000 - $204,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: San Francisco; Palo Alto Workplace: OnSite ABOUT MISTRAL Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector, co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Role Summary As an Enterprise AE in our US market, you will play a crucial role in driving Mistral AI's adoption among large enterprise customers across various industries. Based in either the Bay Area or New York, you will manage the entire sales cycle, from initial outreach to closing deals, collaborating closely with our dedicated implementation, tech, and legal teams. Your strategic vision and execution will be instrumental in establishing Mistral AI as a leading AI solutions provider in the US.   What You Will Do   Lead Development (Strategic Outbound and Qualified Inbound): • Conduct strategic outreach and manage warm introductions to potential enterprise customers. • Convert inbound leads where there are opportunities for upselling or more bespoke agreements.   Value Proposition Validation for Customers: • Provide hands-on support and guidance to clients during the Proof of Concept (POC) phase, ensuring a smooth and successful evaluation process. • Leverage successful POC outcomes to convert them into long-term, revenue-generating contracts.   Deal Management & Closing: • Develop and execute strategic sales plans to convert leads into valued customers. • Serve as the primary point of contact for all external stakeholders, managing deals and aligning all stakeholders, including customer engineering, product, and commercial teams. • Handle customer negotiations end-to-end, collaborating with our legal and implementation specialist teams.   Executive Engagement: • Cultivate and maintain strong relationships with C-level executives, heads of innovation/AI and other key decision makers within target organizations. • Understand their specific challenges and position Mistral AI's solutions as integral to their strategic initiatives.   Technical Aptitude: • Demonstrate a deep understanding of our product's technical intricacies and articulate its value proposition effectively to potential clients. • Work closely with our implementation team to address customer questions, concerns, and challenges during pre-sales, deployment, and post-deployment phases. • Collaborate with our technical team to address any customer inquiries or concerns.   Training and Enablement: • Empower internal teams with the knowledge and resources gathered from customer conversations to drive the product roadmap and align on priorities.   What We're Looking For   • 7-10 years of experience in enterprise sales or consultative selling, ideally with a highly complex, technical product. • Deep understanding of the US market dynamics and enterprise landscape. • Experience of consultative selling of highly complex, technical products. • Bachelor's and/or Master's degree in Business, Computer Science, or a related field. • Significant work experience within the AI ecosystem or related data/infrastructure field. • Experience working at a successful, fast-growing startup, ideally in deep-tech. • Strong technical skills to navigate quickly evolving products and steer technical discussions. • Excellent written and verbal communication in English, and a bonus for French. • Outstanding negotiation and communication skills to build relationships and close deals effectively. WHAT WE OFFER We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page https://app.notion.com/p/mistralai/Benefits-at-Mistral-36e6ba59a7fe836b93dd01737fcc27ef?source=copy_link. PRIVACY POLICY Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy https://legal.mistral.ai/terms/applicant-privacy-policy.

Чем предстоит заниматься : - Разрабатывать и поддерживать высоконагруженные сервисы на Go. - Проектировать и реализовывать pricing models, pricing formulas и алгоритмы оценки активов.

Location: Sydney, Australia About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role We are seeking a Head of Digital Natives & Startups, ANZ to build and lead Anthropic's go-to-market motion for digital native businesses and startups across Australia and New Zealand. You will grow a team that wins and expands the region's fastest-moving, AI-forward companies, driving consumption of Claude directly and through our cloud partners. You will set the segment strategy, hire and develop the team, and work closely with Product, Partnerships and Marketing to turn ANZ builders into long-term customers. This is a chance to shape how one of the world's most dynamic startup ecosystems adopts frontier AI, while representing ANZ's priorities to our global leadership. Key responsibilities Define and execute the ANZ go-to-market strategy for Digital Natives and Startups, covering both new customer acquisition and growth within existing accounts Build, hire and lead a high-performing sales team across Australia and New Zealand, with clear targets, regular coaching and defined career paths Own pipeline, forecast and consumption targets for the segment, running a consumption-based sales motion Build a repeatable motion across the customer lifecycle, from early-stage founders to scaled, high-growth digital natives Develop strong relationships across the ANZ startup ecosystem, including founders, venture investors, accelerators and developer communities Partner with cloud providers and our Partnerships team to co-sell and extend our reach in the segment Collaborate with Product, Marketing, Solutions and Customer Success to adapt our offering and messaging for ANZ, and bring customer feedback back to the business Represent ANZ priorities to regional and global leadership, and keep local execution aligned with global strategy Act as an executive sponsor for key customers and communicate Anthropic's trust and safety principles with credibility Minimum qualifications 15+ years of overall experience selling technology products to enterprise organisations across ANZ market 5+ years of people management experience leading sales teams in the digital native and/or startup segment Proven success in consumption-based technology sales, such as cloud, API or usage-based SaaS Experience building a business or team from the ground up in Australia and/or New Zealand Track record across both customer acquisition and account growth Strong network and credibility in the ANZ startup and digital native ecosystem Ability to explain technical products clearly to founders, engineers and executives Preferred qualifications Background at Google, AWS or a similar cloud or SaaS company Experience selling AI, machine learning or developer-focused products Experience co-selling with cloud partners and working with channel Experience hiring and scaling a team through rapid growth Familiarity with the ANZ regulatory and data-privacy landscape Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Ищем сильного самостоятельного PM, который умеет вести construction / renovation / fit-out проекты end-to-end и брать полную ответственность за результат. • опыт управления construction / engineering / fit-out проектами;

Описание вакансии Business Development Representative Outsourcing/Outstaffing Overview Plus8soft is a global engineering company providing outstaffing and outsourcing services for fast-growing startups and established international companies. We focus on delivering high-quality engineering talent across Web, Mobile, Cloud, AI/ML, and DevOps with a strong presence in the US and global markets. Key Responsibilities — Build and manage your own sales pipeline through outbound outreach, networking, referrals, and other creative strategies — Research target accounts, identify key decision-makers, and lead discovery meetings to understand clients' business goals, technical challenges, and hiring needs — Present Plus8Soft's services, demonstrate how we can help, and prepare tailored commercial proposals — Own the entire sales cycle, from the first outreach and discovery call to negotiations, contract signing, and a smooth handover to the Account Manager — Keep your pipeline moving by maintaining consistent follow-ups, managing opportunities in the CRM, and driving deals to successful closure — Stay up to date with industry trends, emerging technologies, and market opportunities to identify new business potential Requirements — 3+ years of proven experience selling IT outstaffing, staff augmentation, or custom software development services to international clients — C1 English or higher, with excellent verbal and written communication skills, as you'll be communicating with international clients every day — Understanding of complex tech stacks (SaaS, Cloud, AI/ML, etc.) and daily use of AI tools (ChatGPT, Clay, Apollo, HubSpot/Salesforce) to automate and optimize your own outreach workflow — A proactive, self-driven mindset with the ability to work independently and take ownership of your pipeline. Bonus points if you have an existing network of decision-makers in one of our target markets Conditions — Long-term freelance contract with a fully remote setup — Base salary plus an aggressive, uncapped commission package based on closed deals

Location: United States; United Kingdom 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 someone to join our Revenue Strategy & Operations team to play a key role in building the operational backbone behind our partner ecosystem. This role sits at the intersection of technical problem-solving and operational excellence. You'll own the systems, automations, data, and dashboards that help our Partnerships team source, co-sell, and scale revenue through resellers, referral partners, technology partners, and strategic alliances. Each Revenue Strategy & Operations team member is a dedicated partner to a specific go-to-market function. In this role, you'll be the strategic and operational counterpart to Partnerships leadership. You'll also work closely with Sales, Account Management, Finance, Data, and Product to make partner-sourced and partner-influenced revenue visible, measurable, and repeatable. IN THIS ROLE, YOU WILL BE RESPONSIBLE FOR - Partner Lifecycle & Process Management: Design, build, and maintain end-to-end processes for the partner journey, including onboarding, deal registration, lead and referral routing, co-sell workflows, and payout or commission handling. Make these processes consistent, automated, and easy to adopt. - Strategic Partnership to Leadership: Act as a trusted advisor to Partnerships leadership, providing performance reporting, capacity and territory planning input, partner segmentation, and recommendations on program structure and incentives. - Partner Attribution & Pipeline Visibility: Define and maintain how we track partner-sourced, partner-influenced, and co-sell pipeline and revenue across Salesforce and our data stack. Make sure partner contribution is accurately attributed and trusted by Sales, Finance, and leadership. - Reporting & Analytics: Own dashboards, reports, and KPIs for partner performance, such as pipeline generation, win rates, sales cycle, partner ROI, and tier or segment health. Turn the data into insights that guide where we invest. - Partner Program & Incentive Operations: Support the design, modeling, and rollout of partner programs, including tiering, rebates, referral fees, and MDF. Work with Finance and Legal to ensure accuracy and compliance. - Cross-Functional Collaboration: Align Sales, Account Management, Marketing, Finance, and Product on how partner deals are handled, from account mapping and conflict resolution to handoffs and renewals. - Experimentation: Test new partner motions, lead sources, routing logic, and program levers. Measure what works and scale it. WHO YOU ARE We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You'll thrive with us if you: - Are passionate about audio AI, driven by a desire to make content universally accessible and to push the frontiers of new technology. - Are highly motivated, with a strong work ethic. We're at a critical moment in audio AI's evolution and committed to going the extra mile to lead. - Are analytical and efficient, and approach complex challenges with a first-principles mindset. - Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations. - Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside. - Are energized by working with external partners and by the ambiguity of building a program that's still scaling. WHAT YOU BRING - 4+ years in Revenue Operations, GTM Operations, or Partner/Channel Operations at a high-growth technology company - Hands-on experience supporting partner, channel, alliance, or co-sell motions (e.g., deal registration, partner attribution, referral or reseller programs) - A proven track record of building end-to-end solutions, from data collection and analysis through execution - Strong Salesforce experience, including objects, reporting, and process design for partner-related workflows - Strong analytical skills, with proven expertise in SQL and data visualization using BI tools (e.g., Sigma) - The ability to break complex problems into smaller, actionable steps - Excellent communication and collaboration skills, with the ability to work effectively across internal teams and external partners - A highly adaptable, proactive approach to problem-solving and process improvement - Coachability and a willingness to learn and adapt to new challenges 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; United Kingdom 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 someone to join our team in Lead Generation Strategy & Operations and play a key role in scaling our go-to-market operations. This role is at the intersection of technical problem-solving and operational excellence, focusing on building and maintaining tools, automations, and dashboards that empower our sales, data, and product teams to execute with precision. As part of the Revenue Operations team, you'll collaborate across functions to design and implement systems that streamline sales processes, enhance decision-making, and drive growth. The GTM Strategy and Operations team operates as strategic advisors to key cross-functional partners, podded by functional area (pre- vs. post-sale) to drive revenue acceleration, insights, and business growth. This is an exciting opportunity to bring technical and analytical expertise to a fast-paced, impactful environment. In this role, you will be responsible for: - E2E Process Management - Build and maintain strategic automations and standardized processes that support cross-functional teams and promote consistency and adoption. - Cross-Functional Collaboration - Collaborate with cross-functional teams (Marketing, Events, Partner) to drive initiatives that enhance revenue generation and operational effectiveness. - Leadership Partnership - Serve as a trusted partner to leadership, providing strategic insights, actionable recommendations, and performance reporting. - Experimentation - Develop and test new ideas, workflows, and sources that improve critical levers within each functional area. - Data-Driven Strategy - Oversee analytics and performance analyses across pre-sales functions. Identify areas of opportunity and acceleration; build dashboards and insights that inform experimentation and guide lever improvement. - Reporting & Analytics - Lead the design and management of dashboards, reports, and key performance indicators (KPIs) to measure and enhance team performance. Who you are We're looking for exceptional individuals who combine technical excellence with ethical awareness, who are excited by hard problems and motivated by human impact. You’ll strive with us if you: - Are passionate about audio AI driven by a desire to make content universally accessible and breaking the frontiers of new tech. - Are a highly motivated and driven individual with a strong work ethic. Our team is aware of this critical moment of audio AI evolution and is committed to going the extra mile to lead. - Are analytical, efficient, and strive on solving complex challenges with a first principles mindset. - Consistently strive for excellence, delivering high-quality work quickly and exceeding expectations. - Take initiative and work autonomously from day one, prioritizing learning and contribution while leaving ego aside. What you bring - 4+ years of Revenue Operations at high-growth technology companies - Proven track record of developing and implementing end-to-end solutions, from data collection and analysis to execution. - Can break complex problems into smaller, actionable solution steps - Strong analytical skills, with proven expertise in SQL and data visualization using BI tools (e.g. Sigma) - Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. - Highly adaptable, with a proactive approach to problem-solving and process improvement. - Strong coachability and willingness to learn and adapt to new challenges. 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.