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Location: Remote; Canada; Kuala Lumpur; Baku; Barcelona; Berlin, Germany; Tokyo; Sydney, Australia; Seoul, South Korea; Poland; Netherlands; Cyprus; France; Lisbon; London, United Kingdom Workplace: remote About You We are looking for a Product Owner to join the team behind Xsolla Partner Network (XPN). The role is based in the US, and we're open to strong candidates globally. Partner Network connects game publishers with content creators to drive discovery, engagement, and revenue. XPN is a two-sided marketplace. We help publishers run creator marketing campaigns (xsolla.com/partner-network), and we give creators a way to join those campaigns, along with tools to manage and grow their channels (xsolla.com/for/creators). Each side has its own users and goals, and each shapes the other. Helping both sides succeed together is what makes this role so interesting. You'll work closely with customers on both sides and with a collaborative team that's building something new in the creator economy. You'll bring what you learn back to the Product Director and the team, help shape where the product goes, and then work alongside design and engineering to bring it to life. This is a hands-on role that mixes customer conversations, product definition, and day-to-day delivery. If you enjoy turning what you learn from customers into shipped features, and you like doing it with a team that moves fast and supports each other, we'd love to meet you. About Us Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game. For more information, visit xsolla.com . Responsibilities: Research and discovery. Get to know both sides of the XPN marketplace: the game publishers running creator campaigns and the creators bringing those campaigns to life. Talk with customers, gather insights, and keep up with trends in the creator economy and gaming. What you learn shapes where the product goes next. Coordinate the roadmap. Work with the Product Director to turn insights into priorities. Bring ideas and recommendations, balance publisher and creator needs, and help build a roadmap the whole team is excited about. Write product requirements. Turn ideas into clear, well-scoped PRDs that give design and engineering what they need to build with confidence. Manage delivery. Organize the work in Jira and keep design, engineering, and QA aligned and moving from kickoff through release. Track what matters. Define and follow the metrics that show how XPN is working for publishers and creators, and use them to guide what we build next. Keep everyone connected. Be the hub for product communication. Share project status, research, and customer insights with the product team. Keep Business Development, Customer Success, and Marketing up to date on what's shipping and what it means for our partners. Requirements: Product experience. 3+ years in product management or product ownership, shipping software alongside a dedicated engineering team. Customer insight. You enjoy talking with customers and turning those conversations into insights that shape product decisions. You're comfortable serving more than one type of user and finding solutions that work for everyone involved. Clear writing. You write product requirements that are easy to follow and help the team get aligned quickly. Engineering partnership. You work closely with engineers day to day, making scope and sequencing decisions together, and you're comfortable managing the backlog and tracking work in Jira. Cross-team communication. You enjoy keeping people across the company informed and being a go-to resource for product questions. Adaptability. You're energized by a fast-moving, globally distributed team and comfortable making progress while the picture is still coming together. Video game marketing. You understand how games find and grow their audiences, including user acquisition, community building, and influencer campaigns. We prefer candidates with experience in the creator economy or influencer marketing. Creator platform familiarity. You know how creators work on YouTube, Twitch, TikTok, or Kick, including their analytics, audience growth, and monetization tools. Nice-to-Have: Marketplace or platform experience. You've worked on two-sided marketplaces or platform products. Partner commercial models. Experience with revenue-share or performance-based partner programs. Campaign attribution. Experience with tracking links, conversion attribution, or measuring marketing performance. Data comfort. You can pull and explore your own data with analytics tools. Benefits:We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes 100% company-paid medical, dental, and vision plans, unlimited Flexible Time Off, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we’re not just building a business; we’re cultivating a community that values creativity, collaboration, and the transformative power of play. Equal Employment Opportunity Statement:Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with the Fair Chance Act. Rights Under the Fair Chance Act:Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact careers@xsolla.com. By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with thisXsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to careers@xsolla.com. Salary range based on US location only. This position is open for global remote. Salary will be determined based on location and experience.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An Overview about the Role We're looking for a Senior Product Manager to own the Lead-to-Opportunity (L2O) domain within our Salesforce and GTM technology ecosystem. This role sits at the intersection of marketing operations, sales process, and technology owning the roadmap for how leads are captured, scored, routed, and converted into pipeline, and how our broader GTM tech stack supports that motion. This is a foundational hire one of the first product managers on a team actively transforming from a reactive BSA model into a proactive, roadmap-driven product organization. You'll be both an individual contributor driving your own domain and a mentor helping BSAs grow into product manager roles. You'll have direct influence over how we shape the team's future operating model. What You'll Do Internal Product Roadmap Ownership Define, own, and maintain the multi-quarter internal product roadmap for the Lead-to-Opportunity domain covering lead capture, enrichment, scoring, routing, conversion, opportunity and the broader GTM technology stack integrated with Salesforce Translate business strategy from Marketing, Sales Development, RevOps, and GTM leadership into sequenced, prioritized system capabilities with clear outcomes and success metrics Define the domain's strategic priorities each quarter and half, balancing net-new capability delivery, stabilization, and technical debt reduction with transparent trade-off frameworks Drive quarterly planning ceremonies, partnering with Engineering Managers and BSAs to align capacity with roadmap commitments Own domain-level documentation: process maps, current-vs-future state lead lifecycle flows, and decision logs that keep stakeholders and the team aligned on scope and ownership Stakeholder Partnership & Requirements Translation Serve as the primary product voice for all L2O and GTM Systems initiatives, partnering closely with Marketing, Marketing Operations, SDR/BDR leadership, Sales, and RevOps Lead discovery, requirements workshops, and business process design sessions translating complex GTM and marketing operations requirements into actionable system specifications Own the decision layer between "what the business needs" and "what engineering builds," resolving ambiguity with structured frameworks and documented decisions Run structured stakeholder alignment sessions to surface trade-offs, build consensus, and drive open decisions to closure rather than letting them linger Represent the domain in cross-team planning and leadership reviews able to explain technical constraints to business stakeholders and business context to engineers Team Mentorship & Capability Building Act as a product craft mentor and senior thought partner for the BSA team, actively upskilling analysts in product thinking, requirements structuring, acceptance criteria definition, and roadmap communication Model and codify what "good" looks like reusable templates, rituals (backlog grooming, roadmap reviews), and a rubric BSAs can grow against Give BSAs increasing ownership over pieces of the roadmap as they develop, with regular feedback and structured check-ins Partner with leadership to evolve the team's operating model from project-execution-focused to product-thinking-led, raising the bar for how EntApps delivers business value Program Strategy & Delivery Oversight Lead initiatives end-to-end: discovery, requirements, prioritization, solution design review, UAT, launch, and post-launch measurement Write and maintain clear user stories, acceptance criteria, and lead-flow and data-flow diagrams that engineering and admins can build against without ambiguity Manage a healthy, well-groomed backlog intake requests from Marketing and Sales Development, triage by impact and effort, and defend prioritization decisions to stakeholders Define success metrics per initiative (lead response time, routing accuracy, lead-to-opportunity conversion rate, data quality, SDR/BDR adoption) and report on outcomes, not just delivery Identify and de-risk dependencies across adjacent domains campaign operations, data enrichment vendors, opportunity handoff to sales before they block delivery Own UAT strategy and acceptance criteria in collaboration with BSAs, ensuring system changes meet business requirements before production release Systems Architecture Collaboration Partner with Enterprise Architects and Engineering Managers on Salesforce and MarTech integration design marketing automation platform to Salesforce sync, data enrichment pipelines, lead scoring and routing engines, ensuring choices hold up to governance, scale, and future roadmap needs Bring informed opinions on GTM platform architecture trade-offs based on deep domain knowledge Stay current on platform roadmaps for Salesforce Sales Cloud and connected MarTech tools, identifying opportunities to leverage native capabilities before custom builds Maintain domain-level R&R clarity, who owns what across US/India technical managers, BSAs, and adjacent pods and update as team and scope evolve Ability to engage deeply with engineering and architecture teams on API design, data modeling, and integration patterns. What You'll Bring 7+ years in Salesforce product management, business systems analysis, or Marketing/Revenue Operations technology roles, with demonstrated growth into product ownership Strong working knowledge of Lead-to-Opportunity processes; lead capture, scoring, routing, and conversion and how they connect marketing execution to sales pipeline Hands-on familiarity with the GTM technology stack: Salesforce Sales Cloud plus marketing automation platforms (Marketo, HubSpot, or Pardot), lead scoring and routing tools, and data enrichment or intent providers Good Understanding of quoting process Demonstrated ability to own and communicate multi-quarter internal product roadmaps to senior business and technology stakeholders Proven experience leading initiatives end-to-end with multiple stakeholders and competing priorities, especially across Marketing and Sales Sufficient technical fluency to engage meaningfully with engineering on API design, data model decisions, and integration trade-offs — without needing to write code Experience mentoring or upskilling analysts and BSAs, you enjoy developing people, not just managing tickets Excellent written and verbal communication; able to represent technical trade-offs to non-technical executives and translate business asks into clear technical requirements Comfortable operating in ambiguity and driving structure where none exists Experience with AI-assisted development workflows, data governance and compliance for lead data, or prior people-management experience About the Team You'll be one of the first product managers on a team actively transforming from a reactive BSA function into a proactive, roadmap-driven product organization. The Lead-to-Opportunity domain sits at the top of GitLab's revenue funnel; the quality of data, routing, and conversion here affects every downstream system and every seller. Getting this right is not an IT problem; it's a revenue problem. You'll have direct influence over how we shape the team's future operating model and how the next generation of BSAs grows into product managers. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $104,800 — $176,400 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: 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 We're seeking a business development lead to own Anthropic's BD partnership footprint with a small number of the world's largest and most consequential technology companies. These are not single-threaded accounts. Each relationship spans many businesses at once — consumer products, devices and operating systems, productivity and collaboration software, cloud and developer platforms, commerce, and enterprise distribution. Your job is to see the whole board, decide where Anthropic should lean in and where it shouldn't, and turn that judgment into signed deals. The center of gravity for this role is product and distribution partnerships: co-developing opportunities with partners, and structuring the commercial, technical, and go-to-market terms that make those partnerships durable. You'll typically be running several deal streams inside the same partner in parallel — at different stages, with different counterparts, and with terms that interact with one another — and you'll be the person responsible for keeping them coherent. This is an individual contributor role for a seasoned dealmaker who is comfortable as the primary counterpart to senior executives at very large companies, who brings strong judgment to ambiguous, high-stakes situations, and who can carry a complex, multi-party negotiation from first conversation through signature and into execution. Key responsibilities Manage a small number of large, multi-faceted partner relationships end to end: set the strategy for each relationship, decide which opportunities to pursue and in what order, and stay accountable for the overall health and commercial output of the partnership across every surface it touches Lead product partnerships: identify and structure opportunities to embed Claude in partners' consumer and enterprise products, co-develop new products and features, and define the product, technical, data, and brand terms that come with them, working closely with Anthropic's product and engineering leaders Run multiple deal streams in parallel: manage several concurrent negotiations within the same partner — product integrations, distribution and go-to-market, commercial and consumption agreements, and infrastructure — and sequence and connect them so terms in one stream reinforce rather than undercut the others Negotiate complex, first-of-kind agreements: lead end-to-end negotiations involving novel commercial structures, revenue and economics sharing, product and roadmap commitments, exclusivity and competitive provisions, data terms, and multi-year, multi-component value exchanges Act as an executive counterpart: build and manage relationships with senior executives and their teams on the partner side, serve as Anthropic's primary voice into the partnership, and prepare and steer Anthropic's own executives through partner-level engagements Exercise judgment on behalf of Anthropic: weigh commercial upside against strategic, competitive, product, and mission considerations; know when to say no; and make clear, well-reasoned recommendations to Anthropic leadership on trade-offs that don't have a playbook Drive cross-functional execution: coordinate Product, Engineering, Sales, Marketing, Finance, Legal, and Policy across the life of a partnership, from initial structuring through negotiation, launch, and ongoing governance, ensuring what we sign is something Anthropic can deliver Minimum qualifications Direct experience owning a large, multi-business partner relationship, where you were responsible for the whole relationship rather than a single deal or product line Track record of structuring and closing product partnerships — embedding technology into partner products, co-developed products, distribution through partner surfaces, or similar — in addition to conventional commercial agreements Experience personally leading complex, multi-stakeholder negotiations with senior executives, including deals with interlocking terms, competitive sensitivities, and multi-year commitments Demonstrated ability to manage several significant negotiations at the same time without losing the thread on any of them Experience coordinating cross-functional execution (e.g., Product, Engineering, Legal, Finance) to bring a complex agreement from structuring through signature and delivery Preferred qualifications 10+ years in strategic business development, strategic partnerships, or corporate development at technology companies, with meaningful time spent managing relationships with very large technology partners Experience on either side of a partnership between a foundation model or AI platform provider and a large technology company Experience working inside one of the very large technology companies, with a practical understanding of how decisions get made, who holds budget and roadmap authority, and how to navigate them Experience with partnerships that span both consumer and enterprise businesses, or that combine product, distribution, and infrastructure components in a single relationship Understanding of foundation model capabilities and how they translate into partner products, with enough technical fluency to work credibly with product and engineering leaders on both sides Background in corporate development, strategy, or a legal or finance discipline involving structuring and papering unusually complex agreements 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: $300,000 — $365,000 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: Remote Workplace: Remote About the role We're a crypto-native group of companies spanning market making, liquidity provision, on-chain trading infrastructure, and software development. We're expanding our accounting and nance team, and this person will work directly with the Head of Finance as a core part of that build out. You'll own the monthly close across multiple entities, keep our crypto subledgers accurate, handle billing and revenue tracking, and support compliance, tax and legal. What you'll do • Run the monthly close for several entities in QuickBooks Online, including bank and exchange reconciliations, journal entries, intercompany due to/due from tie-outs, and eliminations for the consolidated package. • Maintain our crypto subledgers, including importing and validating exchange and on-chain transaction data and reconciling balances back to source. • Reconcile trading and liquidity activity across CEX accounts, perp venues like Hyperliquid, and DeFi LP positions on Solana and EVM chains, and produce P&L and rollforward schedules. • Set up and maintain charts of accounts for new entities and business lines as they launch. • Prepare monthly retainer and revenue share invoices, and maintain the Excel trackers behind them (tiered fee logic, per-client billing bases). • Support entity structuring work across the group, including intercompany loans, capital contributions and distributions, and the accounting for related party transactions. • Help prepare annual filings and tax workpapers (BVI financial returns, federal tax memos, and supporting schedules for our outside CPA firm). • Assemble KYB packages, member and manager registers, and other documentation for banks, brokers and institutional partners. • Help maintain AML/OFAC program documentation and coordinate responses to regulatory and law enforcement records requests. • Support HR and payroll ops in Rippling, including deduction setups, payroll corrections and contractor tracking. • Build and maintain Excel and Google Sheets models: amortization schedules, loan workbooks, portfolio trackers and deal models. What we're looking for • Ideally 5+ years of accounting experience, including 3+ years in crypto or digital assets. • CPA, or actively working toward it. • Real familiarity with digital asset accounting. You understand wallets, token transfers, swaps and perps, and you know how they should be accounted for. • A working understanding of DeFi, including liquidity pools, AMMs, lending protocols and staking, and how to account for each of them. • Hands-on experience with QBO and at least one crypto subledger. • Strong Excel skills. INDEX/MATCH, dropdown-driven models and clean reconciliation skills. • Comfort with multi-entity and intercompany accounting, including related party considerations under GAAP. • Good judgment on when an issue needs to be escalated and the ability to communicate it clearly, both verbally and in writing. • Strong organizational skills and the ability to manage multiple priorities at once. Nice to have • Experience with crypto subledger platforms (TRES, Koinly and Breezing). • Experience with entity structuring, including multi-entity setups, intercompany arrangements and offshore entities. • Exposure to BVI or other offshore entity reporting. • Some scripting ability (Python, Apps Script) for cleaning and transforming transaction exports. • Experience with Rippling or another EOR/payroll platform. Why join You'll work directly with leadership and the Head of Finance, with real ownership over the processes you run. Our processes are established, and you'll be trusted to own them, improve them where it makes sense, and take on challenging problems across a fast-moving group of companies.

Location: United States Location & Work Arrangement Costa Mesa, CA (On-Site) preferred Remote opportunities may be considered for exceptionally strong candidates located elsewhere in the U.S. Employment Details Contract: 6 months, with potential for extension or conversion to a permanent position Target Bill Rate: Up to $120/hour Requirements Must be a U.S. Citizen Must be eligible to obtain and maintain a Top Secret security clearance WHAT YOU'LL DO Thermal design and analysis of unmanned air vehicles at conceptual, preliminary, and detailed design maturities Define thermal system architectures and material selection strategies for vehicles operating in demanding flight environments Thermal analysis of flight vehicles using CFD, FEA, and engineering methods Material response modeling under combined thermal and mechanical loads Transient thermal analysis for time-varying mission profiles Ground test planning, execution, and analysis in specialized thermal test facilities Flight test planning, execution, and post-flight thermal data analysis Use first principles and MATLAB/Python models to inform design decisions Collaborate with aerodynamics, structures, electrical, and systems engineers on integrated solutions Present thermal status at formal reviews internally and with customers Prepare formal documentation (specifications, test procedures, technical reports) REQUIRED QUALIFICATIONS MS or higher degree in Aerospace Engineering, Mechanical Engineering, or Applied Physics with focus on heat transfer and fluid dynamics In-depth understanding of heat transfer, fluid dynamics, and high-temperature environments 5+ years of experience in aerospace thermal engineering on rocket, aircraft, or missile programs Experience with thermal analysis in high-speed flight regimes Thermal analysis experience using CFD (STAR-CCM+, ANSYS Fluent) and/or FEA thermal solvers Experience with thermal-structural coupling Ground testing experience with thermal instrumentation and data acquisition Strong programming skills in MATLAB, Python, or similar for tool development Experience preparing formal documentation CAD experience with SolidWorks or Siemens NX Passion for defending the United States and her allies Ability to obtain and hold a U.S. Top Secret security clearance PREFERRED QUALIFICATIONS Experience with material response modeling in extreme thermal environments Knowledge of material degradation and surface phenomena under demanding conditions Experience with specialized thermal ground test facilities Experience with chemical kinetics and finite-rate chemistry modeling Flight test experience including instrumentation design and post-flight analysis Experience with thermal-structural analysis codes (NASTRAN, Abaqus, ANSYS Mechanical) Material characterization experience at elevated temperatures Experience with manufacturing and assembly of thermal systems Active U.S. security clearance

Location: United States Location & Work Arrangement Costa Mesa, CA (On-site) preferred Remote opportunities may be considered for exceptionally strong candidates located elsewhere in the U.S. Employment Details Contract: 6 months, with potential for extension or conversion to a permanent position Target Bill Rate: Up to $120/hour Requirements Must be a U.S. Citizen Must be eligible to obtain and maintain a Top Secret security clearance What You'll Do · Own thermal design and analysis for integrated hardware products, including drones, aircraft, missiles, or related defense systems. · Use first-principles engineering judgment to determine the right level of analysis for each design decision, including hand calculations, spreadsheets, MATLAB / Python models, FEA, and CFD. · Define thermal architectures that can withstand rugged environments, demanding flight envelopes, and operational edge cases, including hot, cold, transient, and mission-specific thermal conditions. · Partner with electrical, mechanical, aerospace, software, and systems engineers to document power dissipation, operating modes, thermal constraints, and design tradeoffs. · Build and maintain thermal FEA / CFD models to predict system performance, establish design limits, and define red / yellow operating thresholds for test and field use. · Define and execute prototype builds and thermal tests, including CAD support, sensor selection, DAQ setup, data post-processing, and results documentation. · Present thermal status, risks, tradeoffs, timelines, and recommendations in internal design reviews and customer-facing technical reviews. · Develop internal tools, workflows, or analysis methods that improve speed, consistency, and quality of thermal decision-making. · Support failure reviews and root-cause investigations using test data, thermal analysis, and first-principles reasoning. Required Qualifications · MS or PhD in Mechanical Engineering, Aerospace Engineering, Applied Physics, or a related field with a focus on heat transfer, fluid dynamics, thermal sciences, or thermal systems. · 5+ years of experience designing, analyzing, or validating thermal systems for integrated hardware products. · Strong first-principles understanding of heat transfer and fluid dynamics, including conduction, convection, radiation, fluid flow, and transient thermal behavior. · Experience supporting thermal design for aerospace, aircraft, rocket, missile, UAV, defense, or other high-performance hardware systems. · Experience using thermal analysis, modeling, simulation, and/or physical test data to drive design decisions for passive or active thermal management systems. · Ability to communicate technical tradeoffs clearly across engineering, program, and customer stakeholders, and ability to obtain and maintain a U.S. Top Secret security clearance. Preferred Qualifications · Experience with thermal analysis tools such as STAR-CCM+, ANSYS, Icepak, Flotherm, or comparable FEA / CFD platforms. · Experience using MATLAB, Python, spreadsheets, or similar tools for first-order thermal modeling, transient analysis, or engineering trade studies. · Experience designing thermal hardware such as heat sinks, cold plates, fans, pumps, heat exchangers, thermal interface materials, liquid cooling systems, or air-cooling systems. · Experience planning or executing thermal tests, including sensor selection, data acquisition, data post-processing, and correlation of test results to analysis. · Experience with SolidWorks, Siemens NX, or comparable CAD tools. · Experience supporting formal design reviews, customer reviews, flight test, qualification testing, or fielded hardware. · Experience developing reusable analysis tools, automation workflows, reduced-order models, or other methods that improve analysis speed and consistency. · Strong motivation to support Client’s mission of defending the United States and allied partners.

Location: 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 company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are seeking an experienced Commercial Counsel to join our US commercial team. In this role, you will support complex commercial transactions across North America, including SaaS, licensing, and strategic partnerships, while helping the company navigate diverse legal and regulatory frameworks in the rapidly evolving field of artificial intelligence. You will work closely with global colleagues to provide practical, business-oriented advice that enables growth while managing risk across multiple jurisdictions. RESPONSIBILITIES - Draft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in North America, including enterprise customer contracts - Partner with sales, business development, and operations teams to design and implement strategies that support high-growth go-to-market initiatives. - Monitor and interpret evolving legal and regulatory developments, including data protection, technology, and AI-related frameworks, and apply this knowledge to contract drafting and risk assessment. - Develop, maintain, and localize contract templates, playbooks, and policies to reflect regional requirements and industry best practices. - Provide clear, pragmatic, and commercially focused legal advice to cross-functional teams, tailoring advice to enable responsible growth and innovation. - Contribute to scaling the Legal Team’s commercial function, fostering a collaborative, solutions-oriented team culture. WHO YOU ARE - Curious about the future of AI and emerging technologies, have a strong sense of ownership with enthusiasm for applying your legal expertise to cutting-edge products. - Experienced in navigating fast-paced, high-growth environments, with the ability to manage ambiguity and make informed, timely decisions. - Comfortable working independently while collaborating effectively with cross-functional and global colleagues. - Proactive, business-minded, and committed to delivering practical solutions that support both compliance and commercial success. WHAT YOU BRING - J.D. and active membership in at least one U.S. State Bar (NY or CA preferred) - 6+ years of relevant post-qualification legal experience (in-house experience in technology or SaaS strongly preferred). - Proven track record drafting and negotiating complex commercial and technology agreements. - Strong knowledge of enterprise software licensing, SaaS, data protection, and intellectual property. - Experience advising on privacy, cybersecurity, and cross-border data transfer issues. - Excellent communication, stakeholder management, and problem-solving skills. - Comfort in fast-paced environments with shifting priorities and tight deadlines - Prior experience with heavily regulated industries is a plus LOCATION This role is remote and can be executed in the United States, with a preference for New York or San Francisco. 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: Costa Mesa, United States 📍 Location: Costa Mesa, California 📄 Employment Type: Contract-to-Perm 🏢 Work Arrangement: Remote Opportunity for Top Candidates 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Remote opportunity is open to qualified candidates within the United States . Relocation assistance is available to qualified candidates from other countries. 5+ years of experience designing, analyzing, or validating thermal systems for integrated hardware products. MS or PhD in Mechanical Engineering, Aerospace Engineering, Applied Physics, or a related field, with a focus on heat transfer, fluid dynamics, thermal sciences, or thermal systems. Strong first-principles understanding of heat transfer and fluid dynamics . Experience supporting thermal design for aerospace, aircraft, rocket, missile, UAV, defense, or other high-performance hardware . Experience with thermal analysis, modeling, simulation, and/or physical test data. Ability to communicate technical tradeoffs across engineering, program, and customer stakeholders. Ability to obtain and maintain a U.S. Top Secret security clearance , where required. About the Role We are seeking a Senior Thermal Engineer to own thermal design and analysis for advanced defense hardware across drones, aircraft, missiles, and related flight systems. This role is ideal for an engineer with deep expertise in heat transfer and fluid dynamics , strong thermal analysis capabilities, and the engineering judgment to select the appropriate level of analysis—from first-order hand calculations through detailed FEA and CFD—to support rapid and effective design decisions. You will work across multidisciplinary engineering teams to develop thermal architectures, evaluate system performance, support prototype testing, and drive thermal design decisions for demanding operating environments. What We’re Looking For We’re looking for a senior thermal engineer who can take ownership of thermal engineering from early design and analysis through testing and validation . The ideal candidate combines strong fundamentals in heat transfer and fluid dynamics with hands-on experience applying thermal analysis to complex, high-performance hardware. You should be comfortable working across disciplines, making engineering tradeoffs, troubleshooting thermal issues, and communicating technical recommendations to both engineering and customer stakeholders. Key Responsibilities Thermal Design & Analysis Own thermal design and analysis for integrated hardware products, including drones, aircraft, missiles, and related defense systems . Apply first-principles engineering judgment to determine the appropriate level of analysis for each design decision, including: Hand calculations Spreadsheets MATLAB/Python models FEA CFD Define thermal architectures capable of operating in rugged environments and demanding flight envelopes. Evaluate hot, cold, transient, and mission-specific thermal conditions . Cross-Functional Engineering Partner with electrical, mechanical, aerospace, software, and systems engineers to document: Power dissipation Operating modes Thermal constraints Design tradeoffs Build and maintain thermal FEA/CFD models to predict system performance, establish design limits, and define red/yellow operating thresholds for testing and field use. Prototype Testing & Validation Define and execute prototype builds and thermal tests. Support CAD activities, sensor selection, DAQ setup , data post-processing, and test-result documentation. Use test data and thermal analysis to validate designs and support engineering decisions. Technical Leadership & Continuous Improvement Present thermal status, risks, tradeoffs, timelines, and recommendations during internal design reviews and customer-facing technical reviews. Develop internal tools, workflows, and analysis methods that improve the speed, consistency, and quality of thermal decision-making. Support failure reviews and root-cause investigations using test data, thermal analysis, and first-principles engineering reasoning. Required Qualifications MS or PhD in Mechanical Engineering, Aerospace Engineering, Applied Physics, or a related field focused on heat transfer, fluid dynamics, thermal sciences, or thermal systems. 5+ years of experience designing, analyzing, or validating thermal systems for integrated hardware products. Strong first-principles understanding of: Conduction Convection Radiation Fluid flow Transient thermal behavior Experience supporting thermal design for aerospace, aircraft, rocket, missile, UAV, defense, or other high-performance hardware systems. Experience using thermal analysis, modeling, simulation, and/or physical test data to drive design decisions for passive or active thermal management systems. Ability to clearly communicate technical tradeoffs across engineering, program, and customer stakeholders. Ability to obtain and maintain a U.S. Top Secret security clearance , where required. Preferred Qualifications Experience with thermal analysis tools such as: STAR-CCM+ ANSYS Icepak FloTHERM Comparable FEA/CFD platforms Experience using MATLAB, Python, spreadsheets , or similar tools for first-order thermal modeling, transient analysis, or engineering trade studies. Experience designing thermal hardware such as: Heat sinks Cold plates Fans Pumps Heat exchangers Thermal interface materials Liquid cooling systems Air-cooling systems Experience planning or executing thermal tests, including sensor selection, data acquisition, data post-processing, and correlation of test results to analysis. Experience with SolidWorks, Siemens NX, or comparable CAD tools . Experience supporting formal design reviews, customer reviews, flight testing, qualification testing, or fielded hardware. Experience developing reusable analysis tools, automation workflows, reduced-order models, or other methods that improve analysis speed and consistency.

Location: United States of America What We Do: Cybercrime is growing, and more businesses are getting hit by threats that used to target only the biggest organizations. That pushes defenders like us to operate at the highest level, and it deepens our need for good people who want to make a meaningful impact. Founded in 2015 by former NSA cyber operators, Huntress is a remote-first team working to make enterprise-grade cybersecurity accessible to businesses of all sizes. We work closely with security teams and service providers protecting complex environments, often without the time or headcount to handle it all. That’s why we build our technology in-house and back it with a 24/7 human-led Security Operations Center (SOC). As a result, our platform is never disconnected from the experts who manage it, ensuring our customers' protection. Huntress now secures more than 6M endpoints and 16M identities worldwide. Those numbers keep growing because more businesses rely on us to help carry the load and operate with more confidence. Every day, you can see that commitment in how we stand with our customers and how we show up for each other. Reports to: Chief Financial Officer Location: Remote US Compensation Range: $280,000 to $340,000 base plus bonus and equity What You’ll Do: You will lead the financial perspective behind the decisions that shape a high-growth business. As a key partner to the CFO and the Executive Team, you will own near- and long-term strategic planning, turn the drivers of growth, efficiency, and cash into clear recommendations, and help shape the company's financial narrative. You bring the rigor of a strong analyst, the clarity of a storyteller, and the judgment to know when a sharper answer will change the outcome and when it will only slow the team down. Perfect imperfection shows up in how you improve the planning model without overengineering it. Give a $h*t means you take ownership of the FP&A operating layer, including sales compensation, and make it stronger. You will build trusted partnerships with GTM, Product, and functional leaders, turning data into insight that non-finance teams understand and act on. Give More Than We Take means your analysis makes other teams better. Candor means you surface hard truths early and challenge respected leaders with evidence and care. You will build and develop a high-performing team and modernize how we plan and forecast with AI, with the controls that keep our numbers trustworthy. You bring Warrior Spirit when forecasts miss or conditions change, and you stay Outcome-Obsessed by measuring success through better decisions, stronger planning discipline, and a finance function that scales. Responsibilities: Own strategic financial planning both near and long term. Identify the drivers of growth, efficiency, and cash, and turn them into recommendations the Executive Team can act upon. Serve as a key voice to the Executive Team. Shape the company's financial narrative across reporting, investor relations, and fundraising, and act as a close partner to the CFO. Partner with GTM, Product, and functional leaders to turn data into insights non-finance leaders understand and act on, and to challenge them with evidence when needed. Lead scenario modeling, sensitivity analysis, and investment cases for major decisions. Apply the right depth to each: go deep when precision changes the answer and move fast when it doesn't. Build and scale the FP&A team and operating model, including talent development, succession readiness, governance, and controls. Keep what works and redesign what doesn't. Redesign forecasting, planning, variance, and reporting workflows with AI, with controls that validate outputs and protect confidential data. Oversee sales compensation administration so incentive plans align with company goals and are executed accurately. What You Bring To The Team: 15+ years of progressive FP&A or Strategic Finance leadership in high-growth SaaS, including building and scaling multi-level teams. Analytical storyteller: a track record of turning complex financials into a clear narrative for executives, boards, and non-finance stakeholders. Trusted influencer: you build relationships across the organization, give candid input, and challenge senior leaders with evidence and care. Talent builder: you develop leaders, not just analysts, and have built engaged, high-performing teams. Sound judgment in ambiguous, fast-changing environments, with a bias for finding and implementing improvements. Strong command of enterprise planning systems, BI/visualization tools, and AI-enabled workflows, applied with verification, confidentiality, and control. Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes. Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com . Please note that non-accommodation requests to this inbox will not receive a response. Huntress uses artificial intelligence tools to assist in reviewing and evaluating job applications, including resume screening, skills assessment, and candidate matching and comparisons. These AI tools support our human recruiters in the initial review process, but do not make final hiring decisions without human involvement. By submitting your application, you acknowledge this use of AI in our recruitment process. Please review our Candidate Privacy Notice for more details on our practices and your data privacy rights. #BI-Remote

Location: Home based - EMEA We are hiring a General Counsel , reporting to the Chief Operating Officer (COO). This role leads Canonical’s global Legal and Compliance function. This is a unique opportunity for an exceptional and commercially-minded senior lawyer to lead the legal and compliance function of a profitable, fast-growing technology company that is privately held with the intention to list on a public exchange. We’re looking for someone with genuine fluency in the software industry and in open source dynamics, who can translate that insight into clear positions on licensing, commercial contracts and risk, and hands-on execution. Reporting directly to the Chief Operating Officer, you will own Canonical's legal, regulatory and governance posture and lead a distributed team across EMEA and the Americas. Your primary challenge will be to continue building both the team and the architecture: a management layer across two regions, and the governance, contracting and controls a public company needs, in an environment that regularly does things the industry has not done before. You will work closely with our product and engineering teams on licensing and IP questions, with the security function on customer assurance, and you will advise the Board and its committees directly. In our selection process, we prioritize intellect and judgement alongside depth of practice. We are looking for someone with a strong academic background, an active licence to practice, and demonstrable exposure to a multilayered global operational environment. Location: This role will be based remotely in EMEA time zones. The role entails Leading the global Legal and Compliance function: setting it's structure, standards and priorities across EMEA and the Americas. Building and managing a management capability: hire and develop managers, set objectives, review performance against a clear bar, and address under-performance directly. Setting the operating cadence of the function: intake and prioritization of legal work, service expectations with internal clients, and reporting on workload and risk to the leadership team. Owning public-market readiness on the legal side: corporate governance, group and entity structure, delegated authority, policies, disclosure controls and records, in partnership with Finance. Advising the CEO, COO, CFO and the Board, and supporting in Board and committee meetings. Owning the commercial contracting framework: standard templates, negotiating positions, and a deviation and escalation process that makes commitments visible before they are signed. Leading intellectual property and open source licensing strategy, including copyleft, trademark and the terms on which Ubuntu and our products are distributed. Owning the global compliance programme: data protection and privacy, export controls and trade compliance, anti-bribery and corruption, competition and AI regulation. Managing litigation, disputes and regulatory engagement, together with the external counsel panel, its budget and its quality. Advising on M&A, partnerships, strategic alliances and financing as the company grows. What we are looking for in you An exceptional academic track record from both high school and university. A degree in law, or equivalent, and an active licence to practice in an EMEA or Americas jurisdiction. Substantial senior in-house experience in a global technology or software business. Proven experience leading a distributed legal team, including managing managers across regions and time zones. A track record of setting and holding a high performance bar: hiring well, developing people, and dealing with under performance directly rather than waiting it out. Experience building or restructuring an in-house legal function, including deciding what is retained, delegated and sent to external counsel. Technology related experience of: negotiating and owning commercial technology contracts, including enterprise software and subscriptions, channel and reseller agreements, hardware manufacturer agreements, cloud and services advising on open source licensing, including permissive and copyleft licences, and familiarity with how open source communities operate. Experience of, or demonstrable readiness for, public company governance: listing preparation, board and committee support, disclosure and controls. Depth in at least two of: data protection and privacy, IP and trademark, export controls and trade, competition, or disputes. Confidence to respectfully speak up, exchange feedback, hold colleagues accountable, and share ideas without hesitation. Professional written and spoken English with excellent drafting and presentation skills. Excellent interpersonal skills, curiosity, flexibility, and accountability. International travel two to four times a year for company events up to two weeks long. Nice-to-have skills Experience taking a company through an IPO, or practicing as counsel inside a listed company. A technical or engineering background, or fluency in how software is built and shipped. Experience of a subscription or recurring-revenue business model. Experience building or restructuring an in-house legal function. A qualification in more than one jurisdiction. What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person. Personal learning and development budget of USD 2,000 per year. Bi-annual compensation review. Company recognition rewards. 40 days annual leave per annum, including public holidays and our All Company holiday periods. Maternity and paternity leave. Team Member Assistance Program & Wellness Platform. Opportunity to travel to new locations to meet colleagues, with Priority Pass for lounge access. About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. We are founder-led, profitable, and growing. Powered by worldwide distributed collaboration since our inception in 2004, we believe tech and business leadership can emerge anywhere. We have no central headquarters. Most of us work from home, but we are exceptionally disciplined about this. We have very high expectations of all colleagues, and are champions of excellence. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We're looking for an experienced Technical Program Manager to build and run the program operating system for Figma's growing Internal AI Tooling portfolio. Reporting into the CIO PMO and embedded within the team driving this work, you'll partner closely with Product and Engineering leaders to translate an emerging roadmap into coordinated, secure, and scalable capabilities used across Figma — bringing together Engineering, Security, Legal, Procurement, Data Engineering, Business Systems, IT, Enablement, and business teams. You'll create clarity across this system by establishing lightweight planning and governance, aligning teams around shared milestones and decisions, and ensuring initiatives move from intake through release and operational handoff with clear ownership and measurable outcomes — shaping not only what gets delivered, but also how Figma evaluates, builds, releases, and operates internal AI capabilities as the portfolio grows. The ideal candidate can bring structure to an ambiguous, fast-moving environment without introducing unnecessary process, and can lead complex work through influence rather than direct authority. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Translate the Product Manager's roadmap and prioritized outcomes into integrated program plans, milestones, release schedules, decision points, and clear ownership Manage execution of the Internal AI Tooling roadmap across technical teams and business stakeholders Operationalize a transparent intake and routing process so requests have a defined problem, expected business outcome, delivery path, risk profile, and accountable owner before work begins Establish and facilitate lightweight planning and execution cadences, including program reviews, dependency reviews, decision forums, release-readiness reviews, and stakeholder updates Maintain an integrated view of dependencies, risks, issues, assumptions, and decisions, driving timely resolution or escalation when work is blocked Coordinate security reviews, legal and procurement milestones, data dependencies, vendor commitments, and business-system integrations so these workstreams are engaged at the appropriate stage of delivery Ensure releases have appropriate acceptance criteria, operational ownership, support processes, runbooks, escalation paths, and feedback loops before handoff Partner with Product and stakeholders to define measurable outcomes and provide clear reporting on delivery health, adoption readiness, operational performance, and realized impact We'd love to hear from you if you have: 5+ years of technical program management, or technical delivery experience in a cloud, SaaS, enterprise-technology, or internal-tools environment Demonstrated experience leading complex programs across Product, Engineering, Security, Legal, Data, Business Systems, Operations, and business stakeholders A track record of translating product roadmaps into integrated plans, milestones, dependencies, decision points, release schedules, and measurable outcomes while maintaining clear ownership boundaries between Product, Program, and Engineering Technical fluency with enterprise systems, APIs, integrations, data flows, platform dependencies, identity and access, and software-delivery lifecycles. You do not need to be an engineer, but you should be able to engage credibly in technical planning and tradeoff conversations Excellent written and verbal communication, facilitation, and influencing skills, with the ability to establish lightweight governance, present concise decisions and risks, and create accountability without relying on direct authority While it's not required, it's an added plus if you also have: Direct experience delivering internal AI tooling, platform, or product programs in a rapidly evolving technology environment Experience with responsible AI, model governance, security, privacy, compliance, or AI risk-management frameworks Familiarity with enterprise SaaS, middleware, low-code or no-code automation, identity platforms, data platforms, vendor evaluation, or procurement processes Experience with change management, enablement, enterprise adoption, Product Operations, or establishing a new program-management practice in an emerging organization At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $169,000 — $245,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Ukraine Workplace: Remote Who Are We? Welltech is a global wellness technology company with Ukrainian roots. Our mission is to build and scale wellness apps globally through state-of-the-art, tech-driven performance marketing. We are one of the most established players in the wellness app space, and we are accelerating. Over 25.5 million people across the world use our apps — Muscle Booster, Yoga-Go, and WalkFit — to build healthier habits, move more, and feel better every day. Every subscription represents a real person making a real change in their life, and we take that seriously. With 500+ people across hubs in Cyprus, Ukraine, Poland, Spain, and the UK, we combine the scale of a market leader and the drive of a team that's just getting started. What We're Looking For We're looking for a Total Rewards Specialist to own the analytics and frameworks behind how we pay: compensation ranges, review cycle models, market benchmarking, pay gap analysis; plus our benefits programs across our hubs. Strong with data, fluent in spreadsheets, confident with stakeholders. Key Responsibilities: - Build and maintain compensation analytics and reporting that leadership and HRBPs actually use. - Maintain and extend compensation ranges across hubs, including new locations and cooperation models. - Run the mechanics of our compensation review cycles: matrices, budget models, scenario costing, system settings, compensation statements. - Run market benchmarking end to end: data submissions, survey analysis, positioning conclusions, and a clear recommendation - Support the EU Pay Transparency rollout: pay gap analysis, action plans where gaps exceed thresholds, and getting us ready to answer pay questions properly - Contribute to job architecture, job evaluation and levelling. - Design and administer bonus schemes and keep the rules defensible and documented. - Own benefits renewals end to end: benchmarking, vendor negotiation prep, business cases, contracts with Procurement, comms. - Own the benefits budget and track effectiveness. - Use AI and automation to take manual work out of recurring analytics and processes. Required skills - Solid experience in Compensation & Benefits roles, with a deep understanding of compensation frameworks and benefits management. - Demonstrated expertise in implementing effective compensation and benefits practices for international markets. - Strong ability to collect, validate, analyze, and interpret data, identify trends, and make data-driven decisions while making complex data easy to understand. - Experience in conducting market research and benchmarking to ensure competitive compensation and benefits offerings. - You are considered an Excel expert by your peers, have advanced proficiency in Google Spreadsheets and Presentations. - Capable of managing multiple projects simultaneously and ensuring timely, successful execution. Candidate journey ⭕️ Recruiter call --> ⭕️ Meet a team member --> ⭕️ Skills assessment--> ⭕️ Meet the Leadership team ✨ Why You’ll Love Being Part of Welltech: - Grow Together: Join a culture that champions both personal and professional growth. Here, you’ll thrive as we learn, evolve, and succeed together. - Lead by Example: No matter your role, your leadership matters. Every team member is empowered to inspire and make an impact. - Results-Driven: We’re all about achieving meaningful outcomes. It’s not just about the effort, but the difference we make every day. - We Are Well-Makers: Be part of a movement that’s creating a healthier, happier world. Together, we make well-being a reality! Check out some of our products Muscle Booster — https://musclebooster.fitness/  Yoga-Go — https://yoga-go.io/  Omo — https://omo-weight-loss.app/  FastEasy — https://fasteasy.life/  WalkFit - http://walkfit.pro

Location: New York, New York; Manhattan, New York; Brooklyn, New York; Trenton, New Jersey; Yonkers, New york; New York City Metropolitan Area; Newark, New Jersey Workplace: remote Provectus is a Premier AWS partner and an Anthropic Strategic Partner, helping enterprises across Financial Services and Life Sciences design, build, and operate production AI systems. Our Forward Deployed Engineering model lets us embed with clients and deliver AI outcomes, not just advice. With offices in North America, LATAM, and EMEA, we partner with clients worldwide and are obsessed with reimagining how they operate and compete. We are looking for a Business Development & Partner Manager to own two complementary revenue motions simultaneously: converting partner-sourced leads into Provectus clients, and building a self-sourced pipeline from scratch. The first motion sits at the heart of our Anthropic and AWS partnership. They share qualified enterprise leads with us. Your job is to receive those leads, run the full sales cycle, and close them — making Provectus the AI implementation partner of choice for Anthropic's enterprise accounts. Beyond converting inbound leads, you will actively grow the relationship: joint pipeline reviews, co-marketing, partner tier maintenance, and expanding the number of Anthropic field reps who think of Provectus first when they have an implementation need. The second motion is yours to own. You will prospect independently, build relationships, and close deals with enterprise accounts in Financial Services and Life Sciences without a partner assist — operating as a true full-cycle business developer. Responsibilities: Partner motion — Anthropic channel Act as Provectus's primary point of contact with Anthropic's partner and field sales teams. Receive, qualify, and own enterprise leads shared by Anthropic; act as the primary point of contact from first conversation to signed SOW. Identify new co-sell and joint go-to-market opportunities within Anthropic's product and field motion. Maintain a healthy joint pipeline with Anthropic's partner and sales teams; lead quarterly business reviews and co-sell planning sessions. Translate Anthropic's product roadmap and partnership incentives into compelling client propositions. Represent Provectus at Anthropic partner events, executive briefings, and ecosystem calls. Drive partner tier maintenance and upgrade — certifications, co-marketing activations, case study production. New logo hunting Prospect independently into enterprise accounts in target verticals (FSI, Life Sciences) using outbound, networking, events, and referrals. Run the full sales cycle: discovery, solution scoping, proposal, negotiation, close. Build and maintain a personal network of enterprise decision-makers and economic buyers on the East Coast. Cross-functional collaboration Work with Provectus delivery leads and Architects to scope proposals accurately — you are selling consulting engagements, not software licenses. Feed market intelligence — buyer objections, competitive dynamics, vertical patterns — back to leadership and marketing. What You Need to Succeed: 2-5 years of experience in business development, partner/alliance management — with at least part of that in a consulting firm. Proven track record managing an Anthropic, AWS, GCP, Azure or other partner relationship — co-selling, joint pipeline, MDF, or co-marketing. Experience converting partner-sourced leads through a full enterprise sales cycle (discovery to signed SOW). Demonstrated ability to run a full sales cycle independently: prospecting through close, without dedicated BDR support. Experience selling complex, multi-month consulting engagements (statement-of-work deals, not SaaS subscriptions). Excellent executive-level communication skills — written, verbal, and in-room presence at C-suite and VP level. Experience in Financial Services (banking, insurance, capital markets) or Life Sciences (pharma, biotech). Experience in selling AI/ML services, LLM-based products, or cloud data. Willingness to travel (up to 40%) for customer meetings, executive briefings, onsite workshops, conferences, and other business development activities. About Provectus: Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI and data-driven innovation organization-wide in such industries as Financial Services, Insurance, Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, and Manufacturing. We are recognized by industry analysts as a leading provider of AI solutions across key business domains. At Provectus, we value innovation, ownership, and collaboration — and we are looking for people who want to grow with us and make an impact. Why Join Us: Work at the intersection of two of the most powerful AI partnerships in the industry — Anthropic and AWS. A world-class AI/ML team that can actually execute on what you sell. Shape how a fast-growing AI consultancy goes to market at a defining moment for enterprise AI adoption. High-impact role with direct visibility to leadership. Strong earning potential with performance-based bonuses. Opportunity to work with cutting-edge AI and cloud solutions. B2B contract model or full-time model. OTE range $120-140k. The salary range is determined through interviews and a review of the education, experience, knowledge, skills, abilities of the applicant, and alignment with market data. Unlimited Vacation policy. Generous health, vision, and dental insurance. 401(K) matching plan.

Location: Atlanta, GA (Hybrid) The Position CallRail is looking for an Account Specialist that will work with our highest value customers, including healthcare, legal, financial services, and real estate. The Account Executive team is a core revenue engine for the organization, and you will play a key part in our continued expansion into these key verticals. You will be responsible for conducting product demonstrations, implementation calls and effectively selling CallRail's full suite of industry-leading products and services to inbound leads. What You'll Do You will conduct product demos for prospects and convert them to free trials Implement net new leads with CallRail’s suite of products and convert them to customers Uncover business initiatives and pain points to map back to our solutions Research and understand various lines of business and personas Sell on Value and Return on Investment vs. technical functionality What You'll Need Proven track record of exceeding quota as a software Account Executive 2 years of software sales experience as an Account Executive; strong preference for marketing technology sales done over Zoom Experience with high volume B2B sales is a huge plus Amazing written and verbal communication skills Expertise in solution-selling, account planning, and forecasting/pipeline management Experience with Outreach is a plus Proficiency using Salesforce and Google Suite Can work as part of a team and/or independently Knows how to navigate a fast-paced environment BA/BS strongly preferred If you do not meet all the requirements listed, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that aligns with your skills and experience. Additional Perks Healthcare (one option covered at 100% for employees), Dental & Vision Coverage Competitive HSA with company matching Paid parental leave Flexible vacation policy 401K options with company dollar-for-dollar match Employee stock options available from day one $2,000 annual educational allowance Catered lunch every Tuesday * an in-office perk MARTA transportation or office parking expenses covered Employee charitable donation company match, up to $500 annually Regular company outings and events Hybrid work options with $500 office stipend to set up your home office Designated bike storage Learn more: https://www.callrail.com/about/ You Are Welcome Here CallRail understands that valuing diverse creative practices and forms of knowledge are crucial to and enrich the company's core mission. We encourage applications from everyone, including members of all equity-seeking communities, such as (but certainly not limited to) women, racialized and Indigenous persons, persons with disabilities, and persons of all sexual orientations and gender identities and expressions. In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc). Continuous adoption of AI technologies is essential to this role. You will be expected to leverage AI platforms to streamline operations, solve complex problems, and stay ahead of industry benchmarks. *** This position is based out of our Atlanta office. Through December 2026, employees are expected to work in the office on Tuesdays and Thursdays. Beginning in January 2027, CallRail will transition to a 3 day hybrid work model. Employees will work in the office on Mondays, Tuesdays, and Thursdays.

Location: London Workplace: OnSite ABOUT US Sierra is the leading platform for customer-facing AI agents, working with many of the world's biggest brands — including The GAP, Rocket Mortgage, SoFi, Sutter Health, and SoftBank — to transform how they serve customers and grow their businesses. We are primarily an in-person company based in San Francisco, with growing offices across North America, Europe, and Asia. We are guided by a set of values that are at the core of our actions and define our culture: Trust, Customer Obsession, Craftsmanship, Intensity, and a commitment to balancing Family along the way. These values are the foundation of our work, and we are committed to upholding them in everything we do. Our co-founders are Bret Taylor https://www.linkedin.com/in/brettaylor/ and Clay Bavor https://www.linkedin.com/in/claybavor/. Bret currently serves as Board Chair of OpenAI. Previously, he was co-CEO of Salesforce (which had acquired the company he founded, Quip) and CTO of Facebook. Bret was also one of Google's earliest product managers and co-creator of Google Maps. Before founding Sierra, Clay spent 18 years at Google, where he most recently led Google Labs. Earlier, he started and led Google’s AR/VR effort, Project Starline, and Google Lens. Before that, Clay led the product and design teams for Google Workspace. WHAT YOU'LL DO - Prospecting & lead generation: Identify and target potential customers through research, networking, and cold calling. Build new relationships with our enterprise customers and prospects to drive revenue, pipeline, and deployment capacity. - Manage relationships: Build and maintain strong relationships with key decision-makers and stakeholders with our largest customers. Serve as their primary point of contact and exceed their expectations. - Negotiating & closing complex deal cycles: Lead negotiations with existing and prospective customers, addressing objections and closing deals. Navigate contracts and agreements quickly and effectively, working closely with legal and finance stakeholders. - Sales strategy & planning: Develop and execute sales strategies to meet or exceed sales targets. Craft tailored sales presentations and proposals that meet our enterprise customers needs. Collaborate with our marketing team to implement effective sales campaigns and presentations. - Help define our sales motion: We’re an early team, and your work will directly impact how our GTM function operates and succeeds. - Collaborate cross-functionally: Work closely with our broader GTM team, as well as our product, technical and operations orgs to deliver our industry-leading product. WHAT YOU'LL BRING - 10+ years of experience in an enterprise customer-facing sales role, identifying and closing large accounts. - Strong communication skills: Exceptional verbal and written communication abilities in English, with fluency in Swedish, Norwegian, or Danish. - Enterprise experience: Experience managing a $1M+ quota, and running end-to-end complex deals. - Analytical mindset: Ability to analyze market trends, identify opportunities, and make data-driven decisions. - Prospecting & lead generation: Proven track record of identifying and targeting potential enterprise clients through research, networking, and cold calling. EVEN BETTER... - Industry knowledge: Familiarity with the AI landscape, key players, and emerging trends. - Experience building GTM strategies: Building sales teams and sales motions from scratch, or from early stage growth. OUR VALUES - Trust: We build trust with our customers with our accountability, empathy, quality, and responsiveness. We build trust in AI by making it more accessible, safe, and useful. We build trust with each other by showing up for each other professionally and personally, creating an environment that enables all of us to do our best work. - Customer Obsession: We deeply understand our customers’ business goals and relentlessly focus on driving outcomes, not just technical milestones. Everyone at the company knows and spends time with our customers. When our customer is having an issue, we drop everything and fix it. - Craftsmanship: We get the details right, from the words on the page to the system architecture. We have good taste. When we notice something isn’t right, we take the time to fix it. We are proud of the products we produce. We continuously self-reflect to continuously self-improve. - Intensity: We know we don’t have the luxury of patience. We play to win. We care about our product being the best, and when it isn’t, we fix it. When we fail, we talk about it openly and without blame so we succeed the next time. - Family: We know that balance and intensity are compatible, and we model it in our actions and processes. We are the best technology company for parents. We support and respect each other and celebrate each other’s personal and professional achievements. WHAT WE OFFER We want our benefits to reflect our values and offer the following to full-time employees: - Flexible (unlimited) paid time off - Medical, dental, and vision benefits for you and your family - Life insurance and disability benefits - Retirement plan dependent on country of employment - Parental leave - Fertility and family building benefits through Carrot - Lunch, as well as delicious snacks and coffee to keep you energized  - Discretionary benefit stipend giving people the ability to spend where it matters most - Free alphorn lessons These benefits are further detailed in Sierra's policies, may vary by region, and are subject to change at any time, consistent with the terms of any applicable compensation or benefits plans. Eligible full-time employees can participate in Sierra's equity plans subject to the terms of the applicable plans and policies. BE YOU, WITH US We're working to bring the transformative power of AI to every organization in the world. To do so, it is important to us that the diversity of our employees represents the diversity of our customers. We believe that our work and culture are better when we encourage, support, and respect different skills and experiences represented within our team. We encourage you to apply even if your experience doesn't precisely match the job description. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

Location: Canada What The Role Is We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless. Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting. We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help. If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on. What You'll Own You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape: Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them. Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order. Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations. Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site. In practice, you will: Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric. Make the modeling and architecture calls that span surfaces and are expensive to reverse. Design the evaluation, offline and online, that tells us a model is good before and after it ships. Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches. Partner with product, design and data to help shape what's worth building. Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org. Who You Are You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey. You bring: Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias. Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend. An ability to take an ambiguous problem and start moving before anyone hands you the full picture. A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings. An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue. AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next. Compensation We post real numbers. For a Canada-based Staff Engineer, the starting base salary range is 299,300 to 372,600 CAD plus a target annual bonus of 20 percent of base. That's total target cash of roughly 359,160 to 447,120 CAD. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: United States What The Role Is We're hiring a Staff MLE for the Discovery team to own recommendations and personalization across Babylist's consumer experience — the homepage feed, product recs, search, and the ML-powered systems that make registry building feel effortless. Babylist was built on editorial recommendations: products chosen by people with deep baby gear expertise. That editorial foundation is a big part of why millions of families trust us. We're now building ML-powered personalization on top of it, using one of the richest first-party datasets in parenting. We're early in this work, and we have a real mandate. A small Discovery team has initial retrieval and reranking models live on parts of the site and a steady cadence of A/B tests. We are looking for a Staff MLE who has seen personalization done well at scale and can set the technical direction for where we go next. Registry building is the heart of the Babylist product. Every parent builds a list of dozens of products, from swaddle to stroller, with real stakes (a friend or family member is going to buy these things, and a baby is going to use them). As a universal registry, this registry also typically spans many retailers. This makes registry building on Babylist one of the most interesting personalization problems in consumer e-commerce: latent intent, life-stage progression, multi-stakeholder gift dynamics, deep declarative signal in millions of completed registries, cross-retailer datapoints, and a user who genuinely wants help. If you want to join a mature ML org and tune models at the margins, this isn't the right role. If you've worked inside a strong recommendations team, learned what good looks like, and want to build from zero-to-one at a company earlier in the journey, read on. What You'll Own You'll be the technical lead for personalization on the Discovery team, working alongside a PM, Engineering Manager, Senior MLE and fullstack software engineers. You set where our models go over the next year or two, sequence the bets that get there, and stay deep in building. A few examples of the problems you’ll get to shape: Product recommendations across every surface. Product detail pages, add-next recommendations after someone adds to their registry, vibes/aesthetic representations of products and the shared models underneath them. Personalizing the Feed. Deciding which products, editorial content and social content each family sees, and in what order. Personalizing search. Bringing what we know about a family into search results, and helping decide how much search should share retrieval and ranking with recommendations. Making Addie (our AI registry assistant) better at recs. Working with the team behind Addie so its product suggestions draw on the same models and signals as the rest of the site. In practice, you will: Take a fuzzy business problem from first sketch to production model, and own whether it moved the metric. Make the modeling and architecture calls that span surfaces and are expensive to reverse. Design the evaluation, offline and online, that tells us a model is good before and after it ships. Know when a rule or a simple baseline is the right first step, and when it's time to pursue more advanced approaches. Partner with product, design and data to help shape what's worth building. Coach engineers on the team, and more broadly be an ML expert and resource to the wider engineering org. Who You Are You’ve shipped recommendation and/or personalization systems that reached real users at scale within a consumer product, and can point to the business impact of your work. You’ve done this within a team that did ML well — you know what good looks like, and are motivated to bring that to a company earlier in their ML journey. You bring: Expertise in recommender fundamentals: for example, candidate generation vs. ranking, offline vs. online evaluation, cold start solutions, and handling position and popularity bias. Fluency in the Python ML stack and comfort owning models through deployment and monitoring, including contributions to our application backend. An ability to take an ambiguous problem and start moving before anyone hands you the full picture. A builder's instinct for early-stage ML. You understand effort vs. effectiveness tradeoffs and can advocate for when a rule beats a model, or a model is “good enough” for early learnings. An outcome and user focused mindset. You measure yourself by business impact, and you can connect a model change to user experience & registry adds, conversion or revenue. AI-native daily practice. You're already using AI to move faster and improve your output, and you stay curious about what's coming next. Compensation We post real numbers. For a US-based Staff Engineer, the starting base salary range is $233,500 to $290,700, plus a target annual bonus of 20 percent of base. That's total target cash of roughly $280,200 to $348,840. On top of that you get meaningful equity and a 401(k) match. Where you start in that range depends on your experience, and your pay grows from there with performance and scope. How We Build AI is the default here. Engineers run agentic sessions for most of the work, and a lot of the interesting engineering now lives in the scaffolding that makes the agents good: the eval harnesses, the curated context, custom review skills and fast CI. Agents also triage incidents and handle a big share of support. A human always owns the outcome. The architecture is intentionally simple: one Rails monolith, MySQL and few moving parts. That's deliberate. Simple infrastructure lets us move fast and lets AI reason about the whole system, so the hardest problems are the ones in front of customers. The Stack Core app: Rails, Packwerk, React, TypeScript, Sidekiq Mobile: iOS (Swift), Android (Kotlin) Data, search & events: MySQL, Snowflake, dbt, Airflow, Weaviate, WarpStream, Hex, Sigma Machine learning: deep learning, matrix factorization, retrieval & ranking, AWS SageMaker, MLflow AI & dev tooling: Claude Code, Devin, Linear, CodeRabbit, Warden, LangChain, Bedrock AgentCore, Maxim Infra & ops: AWS, Kubernetes, Terraform, GitHub Actions, Datadog, incident.io, LaunchDarkly Key integrations: Shopify (payments), Iterable (CRM) Why Babylist An engineer, expecting her first baby, couldn't find the registry she wanted. So she built it. That's how Babylist started, and it's still how we work: engineers solving problems for families. Becoming a parent is one of the biggest moments in a person's life. Millions reach it for the first time every year, making thousands of decisions and figuring it out as they go. That's who we build for, and we're a long way from done. Ten million people give gifts through Babylist every year. We did more than $750M in revenue in 2025, up 45 percent over the year before, and we've been profitable for eight years while staying independent. So you can take on a hard, multi-year problem without watching over your shoulder for the next round or the next correction. And the team is small, around 65 engineers, so what you ship stays visible and your scope stays wide. How We Work Remote-first across the US and Canada, and we have been for years. That's not changing. We trust you to own your time and your outcomes, and we get everyone in a room together twice a year. Teams are small, pods of three to five engineers, so nothing you ship disappears into a committee. You'll work shoulder to shoulder with product, design and data, and with the partners across the business who rely on what you ship. You'll also stay close to customers yourself: sitting in on user interviews, watching session recordings, riding along with support. Here that's part of the engineering job, on a regular basis. How We Hire Three rounds, usually two to three weeks start to finish. Recruiter conversation (30 minutes). Trade context: what you want next, what we're building and straight answers on comp, team and remote. Technical screen (1 hour). One round, no AI, language-agnostic. Reach for Google when you normally would. We just want to see how you reason from first principles. Final round (4 hours). Four one-hour interviews: system design, AI-assisted coding with the tools you'd actually use here, product sense and culture and values. You'll hear back either way within 24 to 48 hours. If your timeline is tight, tell us and we'll move faster. Benefits Company-paid medical and fully covered dental and vision A 401(k) match Generous paid parental leave for birthing and non-birthing parents, plus a gradual return-to-work program Winter Wonder Week, a paid company-wide week off at the end of the year A remote-work stipend Mental-health and wellness support A Few Things To Know We record and transcribe interviews to evaluate candidates, in line with applicable privacy laws. We expect you to use AI in your work and we welcome it in the process, but what you submit and say should reflect your own thinking. If you have a family member or close relationship with a Babylist employee, let your recruiter know. Official outreach only ever comes from an @babylist.com address

Location: Remote, Canada; Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role Data Products integrates GitLab and third-party SDLC data, and builds the dashboards, APIs, and data products that turn it into trusted, interoperable intelligence for customers and internal teams. This is a 0 to 1 team and we are hiring for a foundational engineering role. That means you bring technical leadership through ambiguity, helping figure out what to build, making the foundational design decisions, and keeping delivery moving while the picture is still forming. You own the full lifecycle of what ships and stand behind it. What you'll bring Proven ability to influence as a Staff owning product or platform systems end to end across multiple engineering and product teams. High agency, i.e finds the owner, clarifies the path, makes the call, and keeps pushing until the work lands. Force multiplier and raise the people and the codebase around them Deep full-stack expertise, including strong proficiency in Go, Ruby and Node . Depth in at least one of analytics and metrics platforms, graph data systems, CDC and warehouse integration. Hands-on experience building production AI-powered tool orchestration. Experience operating multi-tenant systems across SaaS and self-managed deployment. Direct communicator who builds alignment across teams. Bias to write things down and make reasoning legible. What you'll own Architect how GitLab and third-party data is ingested, modeled, and synced into the knowledge graph as a near-real-time graph of the development ecosystem. Lead integration with external systems for business context (Jira, observability tools, Zendesk, ServiceNow), indexed into the graph. Architect the Data Marketplace so customers consume GitLab data through Snowflake, Databricks, and BigQuery with no engineering dependencies. Publish GitLab observability as OpenTelemetry and broker the data-sharing APIs. Define operational readiness for everything the team ships across GitLab.com, Dedicated, and Self-Managed. Translate an ambiguous 0 to 1 problem space into concrete, iterable roadmaps in partnership with Product, Design, and the graph backend team. Resolve cross-team dependencies across graph backend, AI Platform, and Infrastructure without escalating everything upward. Mentor senior and intermediate engineers through design reviews, pairing, and code review. Create organizational leverage through speed. You identify systemic bottlenecks, simplify processes, and design systems that dramatically improve execution velocity. About the team Data Products work across three surfaces: Dashboard and Reporting Framework Builds AI-native dashboard components so customers and internal teams can see engineering health and GitLab's impact across DORA, VSA, AI Impact, SDLC trends, security, and quality, and launch their own custom dashboards on the same framework. Internal Ingestion Ingests third-party data into the GitLab and power tools like Knowledge Graph, building connectors so that signals from systems like Jira, Zendesk, ServiceNow, and observability tools become one queryable, near-real-time graph of the developer ecosystem. External Ingestion External makes GitLab and Knowledge Graph data consumable outside the product, through marketplace listings, data-sharing APIs and SDKs, and co-branded partner products. We are a new team in a highly ambiguous, high-impact space, and we need engineers who can create clarity while building, make practical tradeoffs, unblock cross-team dependencies, and keep pushing until meaningful customer value lands. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800 — $259,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .