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Location: Argentina Paired is a global staffing and recruiting agency that pairs remote work with top-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located. Out client is looking for someone who has experience in UGC, talent acquisition, influencer marketing, or creator management within DTC/e-commerce and understands what makes content good enough to perform in paid ads. Responsibilities Finding and recruiting strong UGC creators across multiple platforms Posting creator opportunities and sourcing talent consistently Communicating with creators and managing relationships Reviewing creators and filtering out low-quality talent/content Judging which creators are a strong fit for our brand and ads Organizing and managing the entire UGC content pipeline from outreach to final delivery Keeping creator content, communication, and deliverables organized Requirements Experience in UGC, talent acquisition, influencer marketing, or creator management Experience specifically within DTC or eCommerce brands Strong understanding of what makes creator content effective for paid ads Experience managing creators with a focus on content performance and ad results , not just creator relationships Comfortable with high-volume creator outreach and sourcing Ability to evaluate creators and reject weak/low-quality candidates Strong pipeline and project management skills , from outreach through content delivery Experience with creator/talent pipeline management and ensuring deliverables are completed on time Benefits Fully remote. Competitive Salary

We are seeking an experienced Mathematician to support the development and optimization of mathematical models and algorithmic solutions within our sportsbook platform. The ideal candidate will bring strong expertise in mathematics, probability, statistics, and algorithmic modeling , combined with a deep understanding of sportsbook mechanics and betting markets . The consultant will work closely with product, trading, and development te ams to enhance odds models, improve automation capabilities, and contribute to the development of advanced data-driven solutions. Key Responsibilities Design, review, and optimize mathematical models used in sportsbook trading, odds generation, and risk management. Support the development and improvement of algorithmic pricing and automated trading solutions. Analyze betting data, market behavior, and performance metrics to improve model accuracy and efficiency. Collaborate with Product, Trading, Data Science, and Engineering teams to implement scalable algorithmic solutions. Provide expert insights on probability models, margin optimization, and risk exposure management. Contribute to the development of data-driven strategies for sportsbook market automation and pricing efficiency. Evaluate existing algorithms and identify opportunities for optimization and performance improvement. Support the integration of new analytical approaches, including advanced statistical methods and machine learning techniques where relevant. Conduct research on industry best practices and emerging technologies in sportsbook modeling and algorithmic trading. Provide technical guidance and recommendations on mathematical frameworks used in sportsbook operations. Requirements Strong academic background in Mathematics, Statistics, Data Science, Computer Science, or a related quantitative field . Proven experience working with mathematical modeling, statistical analysis, or algorithm development . Experience in sportsbook , betting technology, trading systems, or quantitative modeling environments is a strong advantage. Deep understanding of probability theory, statistical modeling, and data analysis. Experience working with large datasets and performance metrics. Familiarity with algorithmic systems, predictive models, or automated decision-making frameworks. Strong analytical and problem-solving skills. Ability to work closely with technical and product teams to translate mathematical concepts into practical solutions. Excellent communication skills with the ability to explain complex quantitative concepts to non-technical stakeholders.

Location: Lagos, Nigeria Client Acquisition & Sales: Develop and execute acquisition strategies to identify, onboard, and grow new SME clients while driving loan origination targets. Relationship Management & Retention: Maintain strong, long-term relationships with SME clients through regular business reviews, proactive engagement, and high-quality service delivery. Credit Assessment & Underwriting Support: Evaluate prospective clients' business operations, financial stability, and creditworthiness to determine suitability for lending. End-to-End Deal Execution: Guide clients through loan requirements and manage the end-to-end application and documentation process for timely approval. Cross-Functional Collaboration: Partner with cross-functional stakeholders to ensure efficient loan processing and disbursement. Portfolio Performance & Risk Management: Monitor loan portfolio performance to proactively detect emerging credit risks, manage repayment concerns, and identify cross-selling opportunities. Compliance & Risk Control: Ensure all commercial activities, client engagements, and documentation strictly adhere to internal policies, risk guidelines, and regulatory requirements. Market Intelligence & Reporting: Track industry trends and competitor activities to inform commercial strategies, providing regular performance insights and pipeline updates to management. Requirements Bachelor’s degree in Finance, Business Administration, Economics, or a related field, with 4–5 years of experience in relationship management, lending, or sales within financial services; ideally serving SME clients. Proven success in meeting or exceeding loan origination, sales, and portfolio growth targets through proactive client acquisition and cross-selling. Strong knowledge of SME lending, financial statement analysis, credit risk assessment, and loan structuring to evaluate business creditworthiness accurately. Excellent negotiation and communication skills, with a track record of partnering effectively with internal teams (Credit, Risk, Operations) to ensure seamless deal execution and disbursement. Proficiency in using pipeline management tools to track sales activities and monitor portfolio performance.

Location: United States The Opportunity Flosum is looking for a visionary Salesforce Technical Business Analyst who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce. This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem. We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first. About Flosum Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards. Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match. We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build. What You Will Own Product Vision & Strategy Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva. Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors. Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for. Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift. AI & Innovation Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management. Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary. Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents. Customer & Market Insight Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management. Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions. Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations. Execution & Delivery Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it. Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination. Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates. Requirements Who You Are We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career. 7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms. Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem. Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products. Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred. You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable. Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape. Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance. Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day. Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it. What Will Make You Exceptional in This Role You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company. You have worked at the intersection of DevOps and security/compliance in regulated industries. You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics. You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce. You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend. What We Expect in the First 12 Months First 90 Days: Learn and Diagnose Achieve deep fluency in Flosum's five product lines and their technical architecture. Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points. Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win. Deliver your first product roadmap refresh with clear prioritization rationale. Months 3-6: Ship and Win Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability. Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn. Define the next generation of Flosum's AI capabilities and present a detailed execution plan. Months 6-12: Scale and Lead Drive measurable improvement in competitive win rates against Copado and Gearset. Launch at least one net-new product capability that opens a new revenue stream or market segment. Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement. Benefits Why Flosum Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational. Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem. Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate. AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next. Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it. Compensation & Benefits Competitive base salary + performance bonus Equity participation Comprehensive benefits (health, dental, vision, 401k) Hybrid flexibility (San Ramon, CA HQ) or remote for exceptional candidates Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagements If you live in San Ramon, CA this can be a Hybrid position, but we're open to fully remote in other locations.

Location: Ukraine The Opportunity Flosum is looking for a visionary Salesforce Technical Business Analyst who lives and breathes the Salesforce ecosystem and wants to shape the future of how the world's largest enterprises build, secure, and scale on Salesforce. This is not a maintenance role. You will own the product roadmap for the only 100% Salesforce-native DevSecOps, Data Protection, and Security platform trusted by Fortune 100 companies, global brands like Hilton, Cargill, Barry Callebaut, Cushman & Wakefield, and AARP. You will work directly with the CEO and engineering leadership to define and ship products that create entirely new categories within the Salesforce ecosystem. We are at an inflection point. AI-driven DevOps (powered by Agentforce), agent-aware governance, zero-trust security orchestration, and intelligent data lifecycle management are transforming the Salesforce landscape. We need a product leader who sees around corners, understands where this space is heading, and has the conviction and execution chops to get us there first. About Flosum Flosum is the only enterprise-grade DevOps, Data Backup & Archive, Trust Center, and Data Seeding platform built 100% native on the Salesforce platform. As a Salesforce Summit Partner and the only native solution certified by Salesforce, we operate within the Salesforce trust boundary, which means zero data exposure, no third-party cloud processing, and full compliance with Salesforce security standards. Our customers are among the most demanding in the world: Fortune 500 enterprises in regulated industries (financial services, healthcare, government, life sciences) who require SOX compliance, zero-trust architecture, and audit-grade governance. We compete against Copado, Gearset, AutoRABIT, and Salto, and we win because our native architecture delivers security, speed, and extensibility that external tools simply cannot match. We recently integrated Salesforce Agentforce into our platform, making Flosum the first and only Salesforce-native AI DevOps solution. This is just the beginning of what we plan to build. What You Will Own Product Vision & Strategy Define and drive the multi-year product roadmap across Flosum's five product lines: DevOps, Backup & Archive, Trust Center, Data Seeding, and DevOps for Veeva. Identify whitespace opportunities in the Salesforce ecosystem where Flosum can create new categories or capture market share from competitors. Translate deep Salesforce platform knowledge (metadata architecture, deployment models, Agentforce, Data Cloud, multi-org environments) into product capabilities that enterprise customers will pay premium prices for. Stay ahead of Salesforce's own product direction (three releases per year) and position Flosum to capitalize on every platform shift. AI & Innovation Lead the next wave of AI-powered DevOps capabilities built on Agentforce, including intelligent deployment agents, AI-driven code review, automated security scanning, and predictive release management. Define how Flosum's extensibility platform enables customers to build custom AI-driven workflows within Salesforce's trust boundary. Pioneer agent-aware governance: preparing Salesforce governance frameworks for autonomous systems and AI agents. Customer & Market Insight Engage directly with Fortune 500 customers and prospects to deeply understand their pain points around Salesforce development, security, compliance, and data management. Translate complex enterprise requirements (SOX, zero-trust, multi-org, regulated industries) into elegant product solutions. Partner with Sales and Customer Success to influence deal strategy, conduct product demos for strategic accounts, and close competitive evaluations. Execution & Delivery Write detailed product requirements, user stories, and acceptance criteria. You do the work, not just delegate it. Partner with engineering to deliver on aggressive timelines. Own sprint planning, backlog prioritization, and release coordination. Define and track product KPIs: adoption, activation, expansion, NPS, competitive win rates. Requirements Who You Are We are looking for a missionary, not a mercenary. Someone who takes genuine ownership of outcomes, thinks independently, and is driven by a need to build something that matters, not just advance their career. 7+ years of product management experience in B2B SaaS, with at least 3 years focused on the Salesforce ecosystem or Salesforce-adjacent platforms. Deep technical understanding of the Salesforce platform: metadata-driven architecture, deployment pipelines, sandboxes, packaging, security models, Apex, Lightning, and the ISV partner ecosystem. Proven track record of shipping products that enterprise customers (Fortune 500, regulated industries) adopted and paid for. Not features; products. Experience with DevOps, CI/CD, release management, or security/compliance tooling is strongly preferred. You understand the competitive landscape: Copado, Gearset, AutoRABIT, Salto, and native Salesforce DX. You know where each is strong and where they are vulnerable. Strong perspective on how AI/ML (especially Salesforce Agentforce, Einstein, Data Cloud) will reshape the Salesforce development and governance landscape. Hands-on executor. You write PRDs, you talk to customers, you review wireframes, you sit in sprint reviews. You do not manage from a distance. Exceptional communication skills. You can present a product vision to a C-suite audience and write a technical specification for an engineering team in the same day. Intellectual curiosity and a bias toward action. When you see a problem, you solve it. When you don't know something, you go learn it. What Will Make You Exceptional in This Role You have experience building products in the Salesforce AppExchange ecosystem, ideally as an ISV or within a Salesforce-native product company. You have worked at the intersection of DevOps and security/compliance in regulated industries. You have led product-led growth initiatives within an enterprise product, designing self-serve onboarding, in-product conversion, and expansion mechanics. You have a point of view on the future of AI in Salesforce DevOps and can articulate a 3-year vision for how autonomous agents will change how enterprises build on Salesforce. You have experience going head-to-head against well-funded competitors and winning through product superiority rather than just marketing spend. What We Expect in the First 12 Months First 90 Days: Learn and Diagnose Achieve deep fluency in Flosum's five product lines and their technical architecture. Conduct 25+ customer and prospect interviews to build a firsthand understanding of enterprise pain points. Complete a competitive audit with specific, actionable recommendations on where Flosum should invest to win. Deliver your first product roadmap refresh with clear prioritization rationale. Months 3-6: Ship and Win Own and deliver at least one major product release that directly addresses a competitive gap or customer-requested capability. Establish a product-led feedback loop between Sales, CS, and Engineering that accelerates deal velocity and reduces churn. Define the next generation of Flosum's AI capabilities and present a detailed execution plan. Months 6-12: Scale and Lead Drive measurable improvement in competitive win rates against Copado and Gearset. Launch at least one net-new product capability that opens a new revenue stream or market segment. Establish Flosum as a thought leader in AI-driven Salesforce DevOps through content, speaking, and ecosystem engagement. Benefits Why Flosum Category-defining opportunity: You will shape the future of how enterprises build on Salesforce. This is not incremental; it is transformational. Direct CEO partnership: You will work shoulder-to-shoulder with a founder who is deeply technical, product-obsessed, and committed to building the best platform in the Salesforce ecosystem. Fortune 100 customer base: Your product decisions will directly impact how the world's largest and most complex organizations operate. AI inflection point: Agentforce and autonomous agents are rewriting the rules. Flosum is the first native platform to integrate these capabilities. You will define what comes next. Missionary culture: We hire people who want to make a dent, not pad a resume. If you are looking for a place where your work matters and your ideas are heard, this is it. Compensation & Benefits Competitive base salary + performance bonus Equity participation Comprehensive benefits (health, dental, vision, 401k) Hybrid flexibility (San Ramon, CA HQ) or remote for exceptional candidates Direct access to Salesforce ecosystem events, conferences (Dreamforce, TrailblazerDX), and customer engagements If you live in San Ramon, CA this can be a Hybrid position, but we're open to fully remote in other locations.

Location: New York, New York, United States About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Role: Forward-Deployed AI Engineer — Enterprise AI Location: New York City Experience Level: 8+ years Compensation: $200,000–$250,000 base salary + equity Work Model: In-office, typically three to five days per week, depending on client requirements Why Join Enterprise AI? Enterprise AI is a distinct business unit within Turing, operating with the speed, focus, and ownership of a rapidly scaling startup. When it comes to applied AI in the workplace, you’ll define the frontier by building beyond it. You’ll join the initial team of Forward-Deployed Engineers, shaping how we work while solving enterprise-grade problems for the world’s leading enterprises. As a Forward-Deployed AI Engineer, you’ll own outcomes end to end—from identifying high-value customer problems and shaping architecture to building production systems and working directly with senior client leaders. You’ll develop generative AI solutions in the real world, driving measurable impact and return on investment within large institutions. Enterprise AI is intense, intellectually challenging work. It won’t be for everyone, but it may be exactly the challenge you’re looking for. As a Forward-Deployed Engineer, You Will Find the Problem Worth Solving Work directly with customers to navigate ambiguity, uncover high-value opportunities, challenge assumptions, and translate complex business needs into clear technical direction. This requires curiosity and business acumen as you discover business workflows and jointly define the outcomes an AI solution should drive. Build Beyond the Frontier Architect and build production AI systems, from multi-agent workflows, orchestration, tool use, context engineering, memory and state, and retrieval-augmented generation (RAG) to the APIs, data pipelines, integrations, and distributed systems that make them reliable at scale. Own the Outcome You won’t simply be given a list of responsibilities—you’ll have the authority to own the outcome for your client and make a real-world impact through your work. You’ll lead solutions from discovery through deployment and measurable impact while staying hands-on and owning evaluation, observability, security, reliability, latency, scalability, and cost. The Anti-Sell High ownership and intensity: This role requires exceptional ownership and accountability. You’ll work with clients who have uncompromising expectations for quality, making this a demanding environment—and an ideal proving ground for people who seek difficult, high-impact challenges. Client-first and in-office: Our work is client-first, which means in-person collaboration may be required either at the client site or at our planned Manhattan office near Madison Square Park. Depending on your assignment and client needs, you should expect to work in person three to five days per week and be based in the New York City area or within a reasonable commuting distance. You’ll help write the playbook: Enterprise AI operates like a startup. You may not always have an established process or playbook because you’ll be expected to apply your expertise, judgment, and technical depth to create one. Our Forward-Deployed Engineers Typically Have Deep production engineering experience: Typically 8+ years building and operating sophisticated software systems, with expertise in Python, backend systems, APIs, databases, distributed systems, system design, and cloud infrastructure. Hands-on agentic AI experience: Experience building production LLM and agent systems using orchestration, tool use, context engineering, memory and state, retrieval, and multistep workflows. End-to-end systems ownership: A track record of taking complex systems from architecture through deployment and scale, with a practical understanding of evaluation, observability, reliability, security, guardrails, latency, scalability, and cost. Exceptional customer and technical leadership: The ability to enter unfamiliar environments, earn trust quickly, navigate ambiguity, challenge assumptions constructively, and communicate effectively with senior engineers and business executives. Client-ready communication: The ability to explain technical concepts clearly, navigate ambiguity, work with stakeholders, and remain calm under pressure. Don’t Meet Every Qualification Yet? If you don’t meet every qualification for this role, we encourage you to apply to our Forward-Deployed AI Engineer (In Training) opportunity. This role is designed for high-potential software engineers and full-stack developers who are building the production engineering, applied AI, and client-delivery skills required to become Forward-Deployed AI Engineers at Turing. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: SF or Remote (US/Canada) At Render, we’re building the modern cloud platform for developers creating AI-native, full-stack, multi-service applications. Our mission is to eliminate the tradeoff between the power of hyperscalers and the simplicity of developer-friendly platforms—so teams can ship fast, scale reliably, and focus on their product, not infrastructure. Unlike complex hyperscalers or ephemeral edge/serverless solutions, Render offers a developer-first experience with persistent compute, dynamic autoscaling, built-in orchestration, and observability, allowing teams to launch, scale, and manage real-world applications without writing infrastructure code or managing servers. Whether you're building LLM-powered applications, scalable SaaS products, or async processing pipelines, Render empowers teams to move fast and scale confidently from MVP to millions of users. Our platform is trusted by over 7 million developers worldwide and continues to grow rapidly. In February 2026, we raised an additional $100M in Series C financing, bringing our total funding to $260M, to accelerate our vision of making cloud infrastructure both powerful and intuitive—designed for the speed of modern AI development. We’re a diverse and talented team that values craft, velocity, and user experience. If you’re excited to help shape the future of the intelligent cloud and empower developers everywhere, we’d love to hear from you. APPLYING TO RENDER We're seeking candidates who possess high integrity, humility, and an insatiable drive to learn. Through reasoned discussions and continuous feedback, we strive to improve both individually and collectively. We foster an environment of mutual trust and respect, empowering effective debate to achieve the best outcomes for our customers and team. We especially encourage members of underrepresented groups in the tech community to apply and understand that not all successful candidates will meet each requirement listed. Our interview process is unique to each role, and we value the candidate experience just as much as our customer experience. We hope your conversations with us reflect a thoughtful process that is illuminative, enjoyable, and respectful of your time. ABOUT THE ROLE We're looking for a Senior/Staff Analytics Engineer to join our growing Data team and lead the evolution of our Analytics Engineering platform. As Render scales, you'll build the foundations that turn raw data into trusted, reusable models for analytics, executive reporting, and AI-assisted decision-making. In this role, you'll partner closely with analysts, scientists, data engineers, and teams across Product, Engineering, Growth, Go-to-Market, Finance, and other business functions. Analysts and scientists will bring domain expertise and own business logic within their areas; you'll own the technical architecture, modeling standards, and engineering practices that help that work scale reliably. As a Senior/Staff-level individual contributor, you'll set the technical direction for Analytics Engineering at Render—strengthening data quality, improving the developer experience, and building semantic and context layers that make data easier to discover and use. You'll help teams move faster with consistent metrics and maintainable models they can trust. WHAT YOU'LL DO - Own our Analytics Engineering architecture. Guide the long-term evolution of Render’s Analytics Engineering platform, strengthening foundational models so our data remains trusted, scalable, and ready for AI-assisted analytics. - Build trusted, reusable data models. Design, build, and maintain governed dbt models that serve as authoritative sources for business-critical metrics across Product, Engineering, Growth, Go-to-Market, Finance, and other teams. - Establish engineering standards. Define and improve practices for data modeling, testing, documentation, version control, CI/CD, and code review. Review high-impact dbt changes and reduce technical debt across the analytics codebase. - Enable self-service and AI-assisted analytics. Design and maintain semantic and context layers that make metrics consistent, data discoverable, and analysis reliable for both people and AI tools. - Partner closely with analysts and scientists. Help analysts and scientists translate domain-specific business logic into scalable, maintainable warehouse models, moving shared logic out of individual reports and dashboards and into governed datasets. - Improve reliability and efficiency. Partner with Data Engineering to strengthen source data quality, warehouse architecture, and BigQuery performance and cost efficiency. - Raise the bar for Analytics Engineering. Mentor analysts, scientists, and analytics engineers on dbt development, dimensional modeling, and engineering best practices, and help teams adopt shared standards. WHAT WE'RE LOOKING FOR - 7+ years of experience in Analytics Engineering, Data Engineering, or a related technical field, including at least 3 years of hands-on experience running dbt in production. - Expert-level SQL skills and a track record of designing and owning scalable Kimball dimensional models. - Deep expertise in modern Analytics Engineering practices, including Git, testing, CI/CD, documentation, data contracts, lineage, and governance. - Experience building semantic and context layers, trusted metrics, and warehouse architectures that support self-service analytics for humans and AI agents across multiple business domains. - Strong understanding of modern cloud data warehouse architecture, performance optimization, and cost efficiency, with experience in platforms such as BigQuery, Databricks, or Snowflake. - A track record of establishing technical standards, influencing engineering practices without formal authority, and improving reliability while reducing technical debt. - Proven ability to partner closely with analysts, scientists, and business stakeholders to translate requirements into scalable, maintainable data models. - Excellent communication skills. You can explain complex technical concepts and tradeoffs to technical and non-technical audiences and build alignment across teams. - Experience building data models that connect product usage, acquisition, CRM, and financial data across the customer lifecycle. - Experience using AI-assisted coding or analytics tools such as Codex, Cursor, or Claude Code to accelerate data modeling, testing, documentation, or exploration. NICE-TO-HAVES - Hands-on experience with Render’s analytics stack, including BigQuery, Segment, dbt, and analytics tools such as Metabase or Mixpanel. - Experience with developer-focused, product-led, sales-led, or usage-based businesses. - Knowledge of cloud infrastructure, PaaS, developer tooling, or other technically complex products. If this role excites you but you don’t meet every single requirement, we’d still love to hear from you—your unique experience might be just what we need. BENEFITS - 4 weeks of paid vacation. - 14 weeks of fully paid parental leave for all parents to bond with a newly born, adopted, or fostered child. We will also work with you to create a supportive plan of return. - Long-term disability, life insurance, and 401K plans. - 100% employer-paid medical coverage and 99% employer-paid dental and vision coverage for you and a dependent. FSAs and HSAs are available as well. - Monthly lifestyle stipend for wellness, mental health and therapy, hobbies, etc. - Monthly cell phone and internet subsidy. - Commuter benefits for Renders in the Bay Area, and home office stipends for remote Renders. - Continuous learning benefits & related support. This position is generally not eligible for new visa sponsorship. At Render's discretion, the business may sponsor existing visa transfers. Applicants who require sponsorship must receive business authorization. Render is an equal-opportunity employer. We know that employing a team rich in diverse thoughts, experiences, and opinions allows our employees, product, and community to flourish. We make all employment decisions including hiring, evaluation, termination, promotional, and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. We encourage all who are interested to apply. We can't wait to hear from you! 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Location: United States Workplace: remote About Lyra Health Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions. About the Role:  We are looking for a strategic leader to spearhead the execution of Lyra's machine learning roadmap. In this capacity, you will scale and mentor a high-impact AI/ML engineering team, ensuring our technical vision translates into production-grade systems that operate with clinical precision and high-availability reliability. The ideal candidate is an experienced engineering manager who excels at balancing long-term technical strategy with hands-on people leadership. You possess a deep passion for developing technical talent, building robust cross-functional partnerships, and cultivating a culture of operational excellence within an AI-driven organization. Why Lyra? Collaborative Innovation: Thrive on working alongside brilliant colleagues to solve complex, mission-critical challenges. Social Impact: Are deeply motivated by making a tangible difference and supporting individuals during their most vulnerable moments. Cross-Functional Partnership: Enjoy collaborating with a diverse group of physicians, therapists, data scientists, and product leaders. Responsibilities Exceptional People Leadership: Facilitate technical growth through weekly 1:1s, performance management, and clearly defined career trajectories for machine learning engineers. Roadmap & Strategy Ownership: Drive the quarterly planning lifecycle for AI/ML workstreams, prioritizing essential initiatives like clinical program mapping while ensuring alignment with broader business objectives. Cultivate Engineering Culture: Establish an inclusive, high-performance environment by championing knowledge sharing, mentorship, and rigorous technical standards across the ML organization. Strategic Technical Influence: Collaborate with Product Management and Data Science leads to transform complex clinical requirements into robust, safety-oriented production models. ML SDLC Oversight: Maintain a high technical bar through design reviews, guiding the evolution from experimental research to stable microservices deployed on Kubernetes. Multiplicative Technical Vision: Provide leadership through strategic architectural guidance and prototypes, focusing on scaling your team's collective impact and technical reach. Qualifications Proven experience in engineering management, specifically leading and scaling high-performing ML/AI teams within production environments. Exceptional People Leadership: Strong ability to develop technical talent, manage performance, and build a collaborative team culture. Strategic Mindset: Demonstrated experience balancing long-term technical strategy and model governance with day-to-day people leadership. Deep ML/AI Domain Expertise: Strong technical foundation in machine learning systems (transformers, neural networks, fine-tuning) with the ability to lead others in these domains. Operational Excellence: Mastery of the ML SDLC, including dataset lineage, automated evaluation, and deploying microservices at scale. Cloud Architecture: Strong experience architecting cloud-native solutions on AWS (or equivalent cloud providers). Strategic Communication: Exceptional ability to distill highly ambiguous technical problems into clear strategic priorities and influence leadership across engineering, product, and business domain disciplines. Preferred Qualifications Polyglot Engineering Background: Experience writing high-performance production code in Java or Kotlin. Healthcare & Sensitive Data Expertise: Experience architecting AI/ML systems within highly regulated environments (HIPAA compliance, SOC2, handling PHI/PII). MLOps / Platform Productization: Experience building internal developer platforms or ML tooling used by dozens of data scientists and engineers. "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.   By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra.  We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR.  Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives.  If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form.  This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice." As a full-time Manager, AI/ML Engineering, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $161,000 to $221,500. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.  Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:  Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances) Lyra for Lyrians; coaching and therapy services Equity in the company through discretionary restricted stock units Competitive time off with pay policies including vacation, sick days, and company holidays Paid parental leave  401K with up to 3% matching Monthly tech allowance We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!   We can’t wait to meet you.

Location: United States At Reltio®, an SAP Company, we believe data should fuel your success in the enterprise AI era. Our  Context Intelligence Platform turns fragmented data into a trusted, connected context so AI agents and systems can act with expert-level judgement at enterprise scale. Reltio’s cloud-native SaaS platform harmonizes, unifies, and governs data across sources and formats—including unstructured data—in real time, turning them into data assets that can be mobilized in milliseconds to any application, user, or AI agent. Trusted by more than 200 of the world’s largest brands across industries such as life sciences, financial services, healthcare, and technology, we fuel frictionless operations and help enterprises accelerate innovation and reduce risk. At Reltio, our values guide everything we do. With an unyielding commitment to prioritizing our “Customer First”, we strive to ensure their success. We embrace our differences and are “Better Together” as One Reltio. We are always looking to “Simplify and Share” our knowledge when we collaborate to remove obstacles for each other. We hold ourselves accountable for our actions and outcomes and strive for excellence. We “Own It”. Every day, we innovate and evolve, so that today is “Always Better Than Yesterday”. If you share and embody these values, we invite you to join our team at Reltio and contribute to our mission of excellence. Reltio has earned numerous awards and industry and analyst recognition for our technology, our culture, and our people. Reltio was founded on a distributed workforce and offers flexible work arrangements to help our people manage their personal and professional lives. If you’re ready to work on unrivaled technology where your desire to be part of a collaborative team is met with a laser-focused mission to enable digital transformation with connected data, let’s talk! Job Summary: In this strategic role as a Solution Architect in Professional Services, you are an individual contributor,  showcasing expertise in MDM design patterns and program-level strategies, adhering to MDM principles and best practices. Your focus will be on ensuring the quality, efficiency, and accuracy of implementations for Reltio, our partners, and customers. This pivotal role encompasses oversight of customer-facing, partner-facing, and internal processes, positioning you as the foremost technical authority within Professional Services. Job Duties and Responsibilities: Being a senior technical resource on the team with deep and demonstrable knowledge of technology, architectural design, integration patterns, MDM as well as good understanding of Reltio’s capabilities and direction Oversees technical and architectural Reltio MDM solution designs, ensuring alignment with the company’s standards and client requirements Design robust agentic workflows using Reltio’s Agent Flow platform that integrate with core systems and event sources. Contribute to internal Agentic tooling, playbooks, and best-practice documentation and framework. Manages and takes responsibility for Reltio  deliverables maintaining a proven track record in delivering successful Professional Services engagements. Applies Reltio's best practices in a prescriptive manner Leads & guides Reltio Customer and Partner technical team Responsible for the definition & design the Reltio MDM solution and architecture for Customer implementations leveraging MDM principles and Reltio's best practices Ensures quality, efficiency and accuracy of implementations for Reltio, our implementations partner and our customers Support multiple customer projects simultaneously with onshore & offshore team members Coordinates with Product Management, Engineering, Development Operations, Customer Success if needed Develops meaningful and trusted relations with customer and partner resources Develops repeatable assets such as methodologies, tools, templates, guidelines for the betterment of the Professional Services practice Excellent communication skills - written and verbal Skills You Must Have: At least 6 years of overall technology implementations and progressive delivery in a technology or professional services organization delivering moderate to complex technology solutions Ideally have 2 years experience with MDM platforms and has completed 2 MDM implementations Experience deploying and operationalizing LLM- or agentic systems (prompting, orchestration, evaluation, guardrails). Knowledge of Software as a Service (SaaS), Cloud delivery, and other SaaS platforms/solutions Knowledge of CRM (Salesforce, Veeva), ERP, accounting systems and provisioning systems is recommended Experience with Object Oriented technologies Experience with business process and governance is recommended Industry / Domain experience Minimum Bachelor's degree in Computer Science, Engineering, or a technical field Master's degree in a technical field is recommended Certifications in Java, Scrum/Agile methodology, cloud provider certifications At Reltio, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and your specific job family, background, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. Overall Market Range $114,000 — $240,000 USD Reltio is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. Reltio is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

Role Overview ITI Digital is seeking a Client Success Manager to serve as the primary relationship manager for a diverse portfolio of clients across their DXP platform and managed destination websites. The portfolio includes Destination Management Organizations (DMOs), regional tourism boards, Chambers of Commerce, parks & recreation departments, government agencies, and economic development organizations. A background working with or for these types of organizations is central to this role. This is an active, day-to-day account management position. The Client Success Manager personally conducts onboarding calls, manages ongoing client engagements, monitors product adoption, and leads the renewal process. The role owns a defined core book of accounts directly and provides day-to-day direction to a small team of Client Success Specialists across the team's combined account portfolio. The role also contributes to process refinement and serves as an internal representative of client needs in product and strategy discussions. This is a hands-on, collaborative role rather than a removed management position. Preferred Background The ideal candidate brings direct familiarity with the organizations ITI Digital serves, along with an understanding of the digital tools that support them. Relevant experience may include: — Experience within a Destination Management or Marketing Organization (DMO), government agency, or economic development organization in a marketing, digital, or partnership capacity — Experience selling marketing services, digital platforms, or SaaS solutions to destinations, tourism boards, parks & recreation departments, government agencies, or economic development organizations from an agency or vendor perspective — Familiarity with co-op programs, visitor guide campaigns, itinerary tools, virtual visitor centers, or digital engagement platforms used by public-sector or destination marketing organizations — Understanding of the operational environment of public-sector and quasi-public organizations, including board reporting cycles, grant-funded budgets, fiscal year planning, and multi-stakeholder decision-making processes — Ability to translate understanding of these organizations into thoughtful, consultative account management Key Responsibilities 1. Sales-to-CS Handoff & CRM Stewardship — Maintain CRM company and deal records up-to-date with client information; flag gaps and align with Sales as needed — Manage client management platform configuration, including lifecycle stages, health scores, and onboarding playbooks — Lead periodic reviews of client management platform database to ensure accuracy, clean segmentation, and up-to-date client records — Serve as primary CS point of contact for platform questions, configuration updates, and vendor best practices 2. New Client Onboarding Ownership — Conduct welcome calls and kickoff meetings, establishing meaningful rapport with clients — Clarify package scope, delivery timelines, and client-side resource commitments — Coordinate with Implementation and Technical Support specialists to track milestone completion; escalate blockers proactively — Provide product demonstrations tailored to client use cases — Deliver formal end-of-onboarding notification and satisfaction survey; document lessons learned for playbook improvement 3. Subscription Engagement & Product Adoption Strategy & Support — Maintain direct ownership of an assigned core book spanning DMOs, government agencies, Parks & Recreation departments, and economic development organizations — Conduct regular check-in cadences calibrated to client tier and account health — Connect product features to client outcomes including visitor center engagement metrics, grant reporting requirements, economic development KPIs, and co-op partner ROI — Identify expansion opportunities within existing accounts and hand off to Sales — Identify accounts showing signs of declining usage or key contact changes and respond with education or outreach — Share relevant case studies, benchmark data, and best practices — Serve as internal advocate for clients during product development discussions 4. Client Health Monitoring & Risk Management — Maintain health scores using usage data, survey results, support ticket patterns, and relationship signals — Conduct structured health-check conversations at defined intervals — Deploy satisfaction survey campaigns at key subscription milestones; analyze results and close feedback loop — Classify at-risk accounts on early indicators and maintain documented save plans — Log client-reported technical issues and escalate for triage and engineering assignment — Escalate at-risk accounts to leadership with situation summary and recommended course of action 5. Renewal Management — Maintain current, accurate renewal pipeline with visibility into contract end dates — Initiate renewal conversations well in advance; identify and address concerns early — Apply approved concession parameters for renewal negotiations; escalate offers outside boundaries — Prepare renewal contracts; track signature status and follow up — Escalate contract, pricing, or invoicing concerns to leadership with full account context 6. Team Collaboration, Coaching & Continuous Improvement — Provide day-to-day direction and support to Client Success Specialists — Serve as resource for Specialists in complex client situations — Partner with Implementation, Technical Support, and internal teams to resolve client issues — Contribute to development and refinement of onboarding and adoption playbooks — Contribute sector knowledge to internal conversations regarding product roadmap, marketing, and sales positioning — Uphold consistent standards in client communication, documentation, and CRM data management Ideal Candidate Profile — Dependable, consistently reliable in following through on commitments — Collaborative, willing to share knowledge and provide informal guidance — Consultative, approaches client relationships with careful listening and thoughtful problem-solving — Sector-fluent, familiar with operational and planning cycles of DMOs, government agencies, and economic development organizations — Tech-curious, interested in SaaS and digital platforms — Detail-oriented, attentive to accuracy and thoroughness in CRM management, milestone tracking, and contract administration — Adaptable, comfortable navigating shifting priorities — Autonomous, able to exercise sound independent judgment — Composed under pressure, maintains professionalism in fast-paced environment Position Details — Location: Fully remote — US Eastern Time Zone (8 AM – 5 PM ET). Candidates in US Eastern or Central Time Zone preferred — Work Schedule: Full-time exempt, standard hours 8:00 am–5:00 pm EST, minimum 40 hours per week — Employment Type: Contract-to-hire 1099 with 90-day evaluation, converts to Full-Time W2 with benefits — Compensation: Commensurate with experience — Reports To: VP, Digital Strategy — Platform Communication/Systems: Slack, Zoom, Google Meet, CRM/project management tools such as Vitally CS, HubSpot, Asana, JIRA, Freshdesk

Location: Remote (US) IT Engineer About the company Hi, we're Ondo Finance. Our mission is to provide institutional-grade, blockchain-enabled investment products and services. We have both a technology arm that develops decentralized finance technology, and an asset management arm that creates and manages tokenized funds. We were the first company to tokenize exposure to US Treasuries, and have since expanded into several other assets. We are also focused on incubating protocols that can support both tokenized real-world assets and traditional crypto. Founded by folks from Goldman Sachs Digital Assets Team, we're backed by some of the best investors in the world including Founders Fund, Coinbase Ventures, Pantera Capital, Tiger Global, and more. We are currently the leaders in the space in terms of AUM and are well capitalized to continue growing the firm. We're fully remote, with team members across the U.S. About the role We are seeking a motivated, systems-oriented IT Engineer to join our Corporate IT team. This role combines hands-on IT operations and Tier 1–2 support with ownership of identity, access, endpoint management, and employee lifecycle workflows. You will work closely with the IT Operations Engineer and Security team to operate and continuously improve a modern, SaaS-first, highly automated IT environment. This is a junior but high-impact role designed for someone who wants to grow into identity-driven, automation-focused IT. Responsibilities Identity, Access & SaaS Operations Support day-to-day administration of IAM platforms such as Okta (or similar IdPs), including user lifecycle workflows, access provisioning, group management, and MFA. Assist with SSO and SCIM integrations between IAM systems and SaaS platforms such as Google Workspace, Slack, Notion, and other internal tools. Help enforce least-privilege access principles and support periodic access reviews and audits. Execute secure and timely access provisioning and deprovisioning aligned with documented lifecycle processes. Endpoint & Device Management Support macOS endpoint management using Addigy, Iru, or similar platforms. Assist with device enrollment, compliance monitoring, troubleshooting, and lifecycle workflows. Coordinate device preparation, shipping, replacements, and secure device recovery for offboarding employees. Help maintain endpoint security standards and configuration baselines. Employee Lifecycle & Automation Execute and coordinate end-to-end onboarding and offboarding processes, including: Account provisioning and access configuration Device setup and logistics Role-based access enforcement Secure deactivation and asset recovery Assist in building and maintaining low-code / no-code automations (e.g., Okta Workflows) to reduce manual effort and increase reliability. Ensure lifecycle processes are documented, repeatable, and auditable. Identify opportunities to improve lifecycle efficiency and reduce operational risk. Tier 1 & 2 IT Support Provide day-to-day IT support across identity, SaaS applications, access issues, and macOS endpoints. Serve as an escalation point for more complex access, integration, or device issues. Perform structured troubleshooting and root-cause analysis rather than applying temporary fixes. Identify recurring operational problems and contribute to durable, system-level improvements. Vendor Lifecycle & IT Operations Support vendor onboarding, evaluation, and renewals. Assist with SaaS access reviews and vendor offboarding. Help maintain visibility into vendor usage, contracts, and lifecycle status. Contribute to improving procurement and asset tracking processes. Requirements 2–3 years of experience in IT support, IT operations, or systems-focused roles. Experience providing Tier 1–2 IT support in a SaaS-heavy environment. Solid understanding of identity and access management fundamentals, including SSO, SCIM, MFA, and RBAC. Hands-on experience with IAM platforms such as Okta, Azure AD, or similar. Experience supporting Google Workspace or Microsoft 365 environments. Experience supporting macOS environments or strong endpoint fundamentals. Comfort working in a terminal / CLI environment appropriate to experience level. Ability to read and modify scripts written in Python, Bash, or PowerShell. Strong written communication and documentation skills. Ability to work independently in a fully remote environment. Backgrounds in Microsoft-centric environments (O365, Azure AD, Intune) are welcome, provided there is comfort learning Okta and SaaS-first tooling. Nice to haves Experience with endpoint management platforms such as Addigy, JAMF, Iru, or Intune. Experience building or maintaining low-code / no-code automations (e.g., Okta Workflows). Exposure to SaaS-first, identity-driven IT architectures. Familiarity with vendor management, procurement workflows, or asset lifecycle tracking. Interest in identity governance, security-adjacent work, or enterprise automation. Relevant certifications (Okta certifications, CompTIA A+/Network+/Security+, Google Workspace, Microsoft certifications). What we offer Competitive compensation including salary and/or equity (according to your preferences) — we're well-funded and believe that great talent deserves great compensation Full benefits (medical, vision, and dental) and flexible vacation policy (PTO) Small remote-first team across many countries — you'll be an early team member helping shape our vision, culture, and design practices A+ colleagues — our team includes alumni from: Goldman Sachs, Blackrock, Two Sigma, Bridgewater, SpaceX, AWS, Meta, Google, Pinterest, McKinsey, Circle, Uniswap, Phantom Best-in-class investors — we are proud to be backed by leading crypto experts and VCs, including Pantera Capital, Founders Fund and Coinbase Ventures

Location: Strava SF Workplace: Hybrid ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. We are looking for a Senior Data Engineer to join the Data Products team at Strava. The Data Products team sits at the core of Strava's AI strategy, turning Strava's unique community and activity data into reliable, reusable, enriched datasets that power experiences across the app. The team operates at the intersection of data engineering, ML platform engineering, and server engineering, building the pipelines and platform layer that let our proprietary embeddings, algorithms, and models reach athletes at scale. As a Senior Engineer, you'll build and operate the pipelines and access layer that turn raw data, algorithms, and models into production-ready data products used across the app. You'll work closely with ML engineers, data scientists, and product teams to ship data products with strong reliability, freshness, and clear contracts, and you'll contribute to the self-serve tools that make these products easier for other teams to build on. We follow a flexible hybrid model that translates to more than half your time on-site in our San Francisco office — three days per week. WHAT YOU’LL DO: - Build for a Well Loved Consumer Product: Work at the intersection of Geo and fitness to launch and optimize product experiences that will be used by tens of millions of active people worldwide - Build and Operate Data Products: Develop and maintain the pipelines, APIs, and platform tooling that expose Strava's derived data products, including embeddings, ranking artifacts, clustering outputs, and enriched activity streams, as reliable, well-documented internal products. - Contribute to Self-Serve Tooling: Build components of the self-serve interfaces and golden paths that let product and CUJ engineering teams use core data products without deep ML or data engineering expertise. - Own End-to-End Data Product Delivery: Drive projects end-to-end, from pipeline design and artifact schema through production deployment and monitoring, ensuring correctness, freshness, and reliability of the data products you own. - Collaborate Across ML, Data Engineering, and Product: Work closely with ML engineers on integrating model outputs into durable, versioned artifacts; partner with Data Platform on compute patterns and cost efficiency; inform product teams on how to consume and leverage these capabilities. - Build from a rich dataset: Explore and use Strava’s extensive unique fitness and geo datasets from millions of users to extract actionable insights, inform product decisions, and optimize existing features YOU WILL BE SUCCESSFUL HERE BY: - Treating Data Products as Products: Bringing engineering rigor, versioning, contracts, SLAs, monitoring, and deprecation paths to data artifacts and ML insights you own, so downstream teams can depend on them. - Owning Your Work End-to-End: Taking accountability for the reliability and correctness of the systems you build in production and their adoption by downstream teams, while staying aware of adjacent workstreams so dependencies and timing don’t stall the team’s momentum. - Collaborating Across Disciplines: Working fluidly with ML engineers, data engineers, data scientists, and product managers to align on artifact semantics, evaluation standards, and consumption patterns. - Contributing to the Standard: Helping establish best practices for data product development and operational health, and mentoring junior and mid-level engineers on the team. You love to stay current on emerging practices in backend and data engineering and apply them pragmatically, favoring what actually moves the team forward over novelty for its own sake. - Being passionate about the work you are doing and contributing positively to Strava's inclusive and collaborative team culture and values. WHAT YOU’LL BRING TO THE TEAM: - Experience building and operating complex, data-intensive backend systems in production at scale, with a track record of breaking large technical problems into well-scoped, executable work. - Demonstrated experience building access layers, platform tooling, or internal developer products ideally for large scale data or ML systems with a strong instinct for contract design, versioning, and self-serve patterns. - Experience building and maintaining production data pipelines and batch/stream workflows using technologies like Spark, Kafka, Flink, Iceberg, Snowflake, or similar. - Proficiency in backend service development on cloud environments (AWS preferred), using Python, Scala, Go, or equivalent. Solid understanding of distributed systems and containerized infrastructure (Kubernetes, Docker). - Comfort taking technical ownership within a project or team: making design trade-offs, coordinating with collaborators, and mentoring junior engineers and peers. - Eagerness to engage with ML concepts such embeddings, classification outputs, model evaluation, GenAI integrations. Bonus points if you are already an ML practitioner. - Strong communication and collaboration skills with the ability to work effectively with cross-functional partners. For more information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub. WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

Location: England; Portugal; Spain; Italy; Ireland; Germany Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE We're looking for a Staff Sales Engineer who's energized by solving hard, emerging problems at the intersection of AI, security, and software delivery. You will act as a trusted technical advisor and champion owner, partnering closely with Account Executives, Post Sales, and Product teams to drive measurable business and technical value through: - Technical Selling and Deal Shaping - AI Governance and Security Thought leadership - Technical Champion Ownership and Thought Leadership - Customer and Internal Advocacy - Competitive and Strategic Selling This role suits people who like translating deep technical complexity into business clarity, who are comfortable being one of the first to help define a category, and who bring varied backgrounds and ways of thinking to how we solve customer problems. As a Staff Sales Engineer, you will be reporting to the Solutions Engineering leadership team and operate at the intersection of technical depth, business acumen, and competitive selling discipline. _______________________________________________________________________ RESPONSIBILITIES Technical Selling and Deal Shaping - Lead deep technical discovery across Platform Engineering, DevOps, Security, and AI/ML teams to understand: - AI governance requirements for agentic development (shadow AI, ungoverned MCP tools, agents holding real developer credentials) - Software supply chain risk posture - Regulatory and compliance drivers (e.g., EU AI Act, NIST AI Risk Management Framework) - Secure development lifecycle requirements - Shape technical requirements early in the sales cycle to align customer outcomes with Docker's differentiated value in AI governance, container security, and software supply chain integrity. - Design, position, and execute structured PoCs/PoVs focused on: - Sandbox, network, and MCP tool policy enforcement - Image and artifact integrity (Docker Hardened Images, SLSA Build Level 3 provenance, verifiable SBOMs) - Software supply chain visibility - Agent and MCP tool governance controls - Secure build pipelines - Define clear success criteria, evaluation frameworks, and executive-ready value summaries. - Influence decision-making through demos, workshops, architecture reviews, and technical executive briefings. - Translate complex AI security and governance capabilities into clear business value narratives for CISOs, Heads of Platform Engineering, and AI leaders. AI Governance and Security Thought Leadership - Establish credibility as a trusted advisor on: - Responsible AI development practices - Secure AI model lifecycle management - Software supply chain integrity (SLSA provenance, SBOMs, verified base images) - Container and artifact security - DevSecOps best practices - Guide customers in implementing governance controls across AI-enabled SDLC workflows. Provide architectural guidance for: - Agentic AI development environments and runtime isolation (sandboxing) - Policy-as-code enforcement across agents, tools, and machines - MCP tool governance and allow-listing - Identity and access governance for AI workloads (IdP-based role and policy assignment) - Audit, logging, and SIEM visibility for agent activity - Act as a subject matter expert on secure software supply chain and AI security trends in customer-facing engagements. Technical Champion Ownership and Thought Leadership - Build, own, and expand relationships with technical champions across Security, DevOps, Platform, and AI teams. - Establish credibility as a trusted advisor through technical thought leadership, architectural guidance, and industry best practices. - Leverage champion relationships to influence broader buying groups, shape requirements, and uncover cross-sell and expansion opportunities. - Maintain engagement beyond the initial sale, ensuring outcomes are realized and leveraging insights to support future sales motions. Customer and Internal Advocacy - Advocate for customer needs with Product and Engineering, providing clear, actionable feedback informed by field experience. - Coordinate with Post Sales and Support resources to ensure continuity across the customer lifecycle. - Develop reusable technical assets (workshops, demos, reference architectures, enablement content) to scale impact across accounts. Competitive and Strategic Selling - Actively support competitive sales motions by identifying differentiation and influencing evaluation criteria throughout the sales cycle. - Partner with Sales to develop technical win strategies for strategic and competitive accounts. _______________________________________________________________________ QUALIFICATIONS We know strong candidates come from a range of paths, and that confidence gaps keep some excellent candidates from applying to roles like this. If you meet most of what's below and are excited about the rest, please apply. - Experience as a Sales Engineer, Solutions Engineer, or Solutions Architect in complex enterprise sales. - Strong experience running competitive PoCs/PoVs with clearly defined success and exit criteria. - Ability to engage credibly with senior technical and business stakeholders, including security and platform leadership. - Solid understanding of cloud platforms (AWS, Azure, GCP), containers, DevOps, and modern application architectures. - Experience with Docker, container ecosystems, or adjacent technologies strongly preferred. - Development, agentic AI development, software development lifecycle, and/or software supply chain experience strongly preferred. - Familiarity with AI governance, secure software supply chain (SLSA, SBOMs), MCP or agentic tooling, and DevSecOps practices strongly preferred. - Must be fluent in English. - Excellent communication, influence, and stakeholder management skills. - Willingness to travel to customer sites up to 25%. _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS - You will be welcomed with a first-in-class onboarding experience that includes equipment setup, a sweet swag package, and a collaborative training program working with an onboarding peer. - You will learn how to navigate award-winning sales tools such as Salesforce, Opine, Sigma, and Docker. - You will actively engage with senior stakeholders and manage relationships with clients. - You will work closely with your peers and partner with SEs to develop strategies to advocate for our customers. - At the end of your first month, you will have a proficient grasp of the tools and activities necessary to be successful in your role. FIRST 60 DAYS - You will be laser-focused on supporting the sales teams during your second month. - You will have connected with all of your team members. - You will gain in-depth knowledge of Docker's products and how they impact our customers. - You will have an advanced understanding of tools, activities, and best practices to be successful in your role. FIRST 90 DAYS - In month three, you will be confident in your craft and ready to immerse yourself fully in our customers' business needs. - You will continue efforts to improve messaging, processes, and activities. - You will educate our clients about our product roadmap and undertake product training for users. - You will be ready to operate independently at full speed. Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Europe: €141,400– €202,000 OTE ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: London DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk. Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets. We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus. DRW is seeking a Senior Database Engineer with focus in PostgreSQL and Oracle who will be responsible for implementation, support and maintenance of mission critical database environments.  The administration of these environments includes clustering, storage, securing, monitoring, performance tuning, troubleshooting, and disaster recovery.  This person will help manage and support current and future database and storage environments and initiatives, and proactively evaluate physical and logical design and architecture of the systems to keep up with the dynamic and growing business needs of DRW. Responsibilities: Proactively manage and optimize various database platforms and related OS environments Perform database performance and query tuning Implement and maintain production and non-production databases Perform database backups, restores, log shipping, mirroring and replication, etc. Work with system engineering team on database server installations, configurations, system performance tuning and capacity planning Collaborate with development teams on database design, implementation and usage optimization Respond to production and business-critical issues and needs Position Requirements: 5+ years of production PostgreSQL database engineering experience 5+ years of production Oracle database engineering experience desired Strong UNIX/Linux skills Experience with clustering, replication and mirroring a plus Strong knowledge of database performance tuning and configuration tools Strong technical problem-solving skills essential SAN knowledge a plus Proven ability to work in an agile, fast-paced environment, prioritize multiple tasks and projects, and efficiently handle pressure and stress Must be self-motivated, possess strong initiative, and be willing to take on new challenges Must demonstrate strong teamwork and collaboration skills Ability to learn new technologies quickly and adapt to different work environments Strong understanding of and the proven ability to comply with SDLC, source control and change management protocols Excellent verbal and written communication skills For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice . California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice . [#LI-SK1]

Location: Canada Wide - Excluding Quebec; British Columbia Workplace: Hybrid ABOUT THE ROLE Safe Software is looking for a Staff AI Engineer to design, build, and deploy production-grade AI systems across the organization. This is a hands-on engineering role responsible for the full AI lifecycle, from data preparation and model development through evaluation, deployment, monitoring, and continuous improvement. You will work across generative AI, applied machine learning, retrieval, and agentic systems while establishing reusable architectures and engineering standards for complex production implementations. ABOUT THE TEAM AI Enablement helps Safe Software adopt AI effectively and responsibly. The team builds shared capabilities, platforms, and engineering standards while enabling departments to deliver AI solutions aligned with common security and governance practices. WHAT YOU'LL BE DOING - Design, build, evaluate, deploy, and operate end-to-end AI/ML systems in production, spanning data preparation, model development, training or fine-tuning, integration, application logic, monitoring, and continuous improvement. - Architect and build agentic and multi-agent systems, including orchestration, task routing, shared state, tool use, agent handoffs, human oversight, and failure recovery. - Design and build enterprise knowledge and retrieval systems across structured and unstructured data, using data pipelines, embeddings, hybrid search, reranking, metadata, and access-controlled retrieval. - Integrate AI solutions with enterprise applications, APIs, databases, data platforms, and governed tools. - Establish automated testing, evaluation, and observability practices covering task success, model and retrieval quality, hallucination risk, tool execution, safety, latency, cost, drift, and regression. - Design secure and responsible AI systems with least-privilege access, auditability, sensitive-data protection, and safeguards against prompt injection, data leakage, and unauthorized actions. - Create reusable architectures, libraries, and engineering standards, and provide cross-functional technical leadership through design reviews, mentoring, and stakeholder collaboration. - Evaluate emerging Large Language Models, frameworks, and platforms and make evidence-based adoption recommendations. QUALIFICATIONS, SKILLS, AND COMPETENCIES WHAT WE'RE LOOKING FOR - 8+ years across software engineering and AI/ML, including 3+ years building and operating AI/ML systems in production at scale. - Strong software engineering skills, particularly in Python or comparable backend technologies. - Experience developing, adapting, fine-tuning, evaluating, deploying, and monitoring AI or machine learning models. - Applied AI experience in enterprise use cases such as chatbots, workflow automation, RAG, intelligent document processing, recommendation systems, or decision support. - Strong understanding of generative AI, LLMs, retrieval systems, agent-based architectures, and applied machine learning. - Experience with production data pipelines, APIs, model-serving infrastructure, testing, security, reliability, and observability. - Ability to explain complex technical decisions and tradeoffs to engineering teams and business stakeholders. NICE TO HAVE - Experience with agent and workflow orchestration tools such LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent. - Experience with vector databases, semantic or hybrid search, embeddings, and reranking. - Experience with platforms such as Databricks, Snowflake, Amazon Bedrock, Microsoft Foundry/Azure AI, or equivalent. - Familiarity with MCP, A2A, self-hosted or open-weight models, and hybrid AI architectures. WHAT YOU CAN EXPECT When you choose a career with Safe Software, you’re also choosing… - Meaningful Work: Make a profound impact across our business, workplace and data integration product. - A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support. - Social Responsibility: Become part of a team that finds meaningful ways to give back https://www.safe.com/about/community-initiatives/. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives. - Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe. - Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to. - Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year. - Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That’s right, no waiting period. - Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption. - Shared Success: Share in Safe’s success with our bi-annual profit sharing and RRSP/TFSA matching program. - An Accessible Commute: Regardless of your commute method, we’re located close to public transit, and provide complimentary parking and bike storage for our team! ABOUT SAFE SOFTWARE Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity. With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads. Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team? OUR COMMITMENT TO DIVERSITY AND INCLUSION Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion. We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status. Should you require accommodations during the recruitment process, please contact hr_dept@safe.com. NOTICE REGARDING USE OF AUTOMATED TOOLS IN HIRING At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role. Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy https://www.safe.com/legal/#applicant-privacy-policy. If you have questions about this process, please contact us at hr_dept@safe.com.

Location: Remote - United States Reddit is a community of communities. It’s built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. Every day, Reddit users submit, vote, and comment on the topics they care most about. With 100,000+ active communities and approximately 130 million daily active unique visitors, Reddit is one of the internet’s largest sources of information. For more information, visit www.redditinc.com . The Reddit Consumer Engineering organization builds and scales the products that Redditors use directly to discover content, participate in communities, and connect with others. Sitting at the intersection of large-scale distributed systems and core user journeys, Product Frontend Engineers in Consumer Engineering partner directly with Product Managers, Designers, Data Scientists, ML Engineers, and Frontend Engineers to build, experiment with, and scale features that power how hundreds of millions of users discover, join, navigate, and engage with Reddit. This centralized role hires across several high-impact consumer teams, including: Core Product & Feeds: Home Experience, Recommendations & Content Discovery, Contribution Community & Presence: Reddit Pro, Youth Experience & Teen Safety, Creator Tools Growth & Engagement: Authentication, Notifications, Social Sharing, SEO, Onboarding. Monetization & Conversion: Paid User Acquisition, Conversion Funnel Optimization Identity & Security: Account Management, Trust & Safety What You’ll Do Product & Engineering Execution: Partner closely with cross-functional partners in product, design, and platform engineering to execute on product strategy and build novel, user-centric media features. Full-Lifecycle Development: Drive the complete development lifecycle—from technical design and architectural proposals to implementation, unit/integration testing, experimentation, performance analysis, and deployment. Quality & Velocity: Move fast while maintaining high quality standards through thorough code reviews, detailed design doc evaluations, and constructive feedback on product specs and UI mocks. Mentorship & Engineering Standards: Help establish developer workflows, champion best practices, and mentor junior and mid-level engineers to elevate technical excellence across the team. Who You Are Product-Minded Engineer: You bridge the gap between technical metrics and user experience, understanding how low-level optimizations impact real-world user engagement and product quality. Pragmatic Builder: You strike the right balance between rapid iteration and architectural rigor, delivering scalable solutions without getting bogged down by unnecessary processes. Effective Collaborator: You excel in communicating complex technical concepts clearly to both technical and non-technical stakeholders. Continuous Learner: You have a deep curiosity for emerging technologies and actively keep up with modern industry trends, standards, and performance optimizations. Technical Qualifications Frontend Expertise: Strong proficiency in modern web stacks, including JavaScript, TypeScript, React, and Next.js, with a proven track record of translating complex designs into responsive, production-grade applications. API & System Design: Demonstrated experience designing, building, and maintaining robust APIs using protocols such as REST, GraphQL, gRPC, HTTP, or Thrift basics. Education: Bachelor’s degree in Computer Science, a related technical field, or equivalent practical experience. Benefits: Comprehensive Healthcare Benefits and Income Replacement Programs 401k with Employer Match Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support Family Planning Support Gender-Affirming Care Mental Health & Coaching Benefits Flexible Vacation & Paid Volunteer Time Off Generous Paid Parental Leave #LI-remote Pay Transparency: This job posting may span more than one career level. In addition to base salary, this job is eligible to receive equity in the form of restricted stock units, and depending on the position offered, it may also be eligible to receive a commission. Additionally, Reddit offers a wide range of benefits to U.S.-based employees, including medical, dental, and vision insurance, 401(k) program with employer match, generous time off for vacation, and parental leave. To learn more, please visit https://www.redditinc.com/careers/ . To provide greater transparency to candidates, we share base salary ranges for all US-based job postings regardless of state. We set standard base pay ranges for all roles based on function, level, and country location, benchmarked against similar stage growth companies. Final offer amounts are determined by multiple factors including, skills, depth of work experience and relevant licenses/credentials, and may vary from the amounts listed below. The base salary range for this position is: $190,800 — $267,100 USD In select roles and locations, the interviews will be recorded, transcribed and summarized by artificial intelligence (AI). You will have the opportunity to opt out of recording, transcription and summarization prior to any scheduled interviews. During the interview, we will collect the following categories of personal information: Identifiers, Professional and Employment-Related Information, Sensory Information (audio/video recording), and any other categories of personal information you choose to share with us. We will use this information to evaluate your application for employment or an independent contractor role, as applicable.  We will not sell your personal information or disclose it to any third party for their marketing purposes.  We will delete any recording of your interview promptly after making a hiring decision.  For more information about how we will handle your personal information, including our retention of it, please refer to our Candidate Privacy Policy for Potential Employees and Contractors . Reddit is proud to be an equal opportunity employer, and is committed to building a workforce representative of the diverse communities we serve.  Reddit is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If, due to a disability, you need an accommodation during the interview process, please let your recruiter know.

Location: Strava SF Workplace: OnSite ABOUT STRAVA Strava is the app for active people. With over 200 million athletes in more than 185 countries, it’s more than tracking workouts—it’s where people make progress together, from new habits to new personal bests. No matter your sport or how you track it, Strava’s got you covered. Find your crew, crush your goals, and make every effort count. Start your journey https://www.strava.com/subscription with Strava today. Our mission is simple: to motivate people to live their best active lives. We believe in the power of movement to connect and drive people forward. ABOUT THIS ROLE As Senior Manager, Workplace, reporting to the Director of People Ops and Workplace, you'll lead a team of workplace professionals across the US, own our global workplace employee experience budget and real estate contracts, and build a standardized Workplace playbook, covering security, visitor policy, and daily operations, that scales consistently across every office This role will work closely with our People Team and leadership teams to create workplaces that not only support employee productivity and well-being but also upholds the company's commitment to fostering an inclusive culture. This is a highly cross functional role. You'll partner closely with People leadership, IT/Security, Executive Business Partners and regional workplace coordinators and office committee leaders as you work to create a creative, supportive and safe working environment across Strava, while staying hands-on with the day-to-day operations of our San Francisco office, which you'll continue to oversee directly. This position is on-site in our San Francisco office, five days per week. WHAT YOU'LL DO - Own and evolve Strava's global Workplace playbook, standardizing processes, procedures, and security/visitor protocols across all 9+ office locations - Manage and grow a team of workplace professionals (currently 3 FTE + 1 contractor) across multiple US offices, providing clear delegation, coaching, and support - Own the annual global employee experience workplace budget, including landlord relationships and vendor negotiations - Partner with People leadership, IT/Security, and Legal to ensure consistent security and compliance practices across all offices - Lead day-to-day workplace operations for Strava's San Francisco office (7 floors), including onsite events, space planning, and workplace systems - Collaborate with workplace coordinators in each office location to implement best practices and maintain consistency globally - Build scalable systems and processes that support Strava's continued global office expansion WHAT YOU'LL BRING TO THE TEAM - 7+ years of experience in workplace, facilities, or real estate operations, with progressive responsibility - Proven experience managing people, ideally leading distributed or remote teams - Experience owning workplace or facilities operations across multiple sites or offices - Experience managing a budget of meaningful scale ($10M+), including vendor and contract negotiation - Experience with international real estate or lease management is a plus - Background scaling workplace operations at a fast-growing or expanding company is a plus - Familiarity with workplace technology and systems (badge access, space management platforms) is a plus For more information on benefits, please click here https://docs.google.com/document/d/e/2PACX-1vTkFMPz3eCjd0FgQ28VWnK4d2BEnzGyaSFGwATR-dQdBb9HxZgay6kboqnT0-V-qaBDzSvYIzI76vT5/pub. WHY JOIN US? Movement brings us together. At Strava, we’re building the world’s largest community of active people, helping them stay motivated and achieve their goals. Our global team is passionate about making movement fun, meaningful, and accessible to everyone. Whether you’re shaping the technology, growing our community, or driving innovation, your work at Strava makes an impact. When you join Strava, you’re not just joining a company—you’re joining a movement. If you’re ready to bring your energy, ideas, and drive, let’s build something incredible together. Strava builds software that makes the best part of our athletes’ days even better. Just as we’re deeply committed to unlocking their potential, we’re dedicated to providing a world-class, inclusive workplace where our employees can grow and thrive, too. We’re backed by Sequoia Capital, TCV, Madrone Partners and Jackson Square Ventures, and we’re expanding in order to exceed the needs of our growing community of global athletes. Our culture reflects our community. We are continuously striving to hire and engage teammates from all backgrounds, experiences and perspectives because we know we are a stronger team together. Strava is an equal opportunity employer. In keeping with the values of Strava, we make all employment decisions including hiring, evaluation, termination, promotional and training opportunities, without regard to race, religion, color, sex, age, national origin, ancestry, sexual orientation, physical handicap, mental disability, medical condition, disability, gender or identity or expression, pregnancy or pregnancy-related condition, marital status, height and/or weight. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. California Consumer Protection Act Applicant Notice https://docs.google.com/document/d/e/2PACX-1vSc8y6On4NlP5s12hf4kmWe_pvenVyQ78TbtVaz_clROhj9ADQ6kY4YScglBIuY2joKFKalOReX7vP_/pub

Location: Ukraine OUR HIRING PROCESS: We will review your application against our job requirements. We do not employ machine learning technologies during this phase as we believe every human deserves attention from another human. We do not think machines can evaluate your application quite like our seasoned recruiting professionals—every person is unique. We promise to give your candidacy a fair and detailed assessment. We may then invite you to submit a video interview for the review of the hiring manager. This video interview is often followed by a test or short project that allows us to determine whether you will be a good fit for the team. At this point, we will invite you to interview with our hiring manager and/or the interview team. Please note: We do not conduct interviews via text message, Telegram, etc. and we never hire anyone into our organization without having met you face-to-face (or via Zoom). You will be invited to come to a live meeting or Zoom, where you will meet our INFUSE team. From there on, it’s decision time! If you are still excited to join INFUSE and we like you as much, we will have a conversation about your offer. We do not make offers without giving you the opportunity to speak with us live. INFUSE is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Privacy Policy We're looking for Senior AI Engineers to design, build and run LLM-powered agents and AI features in production. You'll work across the full lifecycle: from scoping a use case with stakeholders, through architecture and development, to deployment, evaluation and ongoing improvement. This is a hands-on role for engineers who think like product owners: you understand the business problem, define what success looks like in numbers, ship to real users, and own the result after launch. Our stack: Python and TypeScript/Node.js, PostgreSQL, Kafka, Docker, GitHub Actions, AWS. We run multiple LLM providers (Anthropic, OpenAI, Google, AWS Bedrock and others) behind a shared LLM gateway, with MCP for tool access. We work AI-native: agentic coding tools are part of how engineering gets done here, and we provide official Anthropic Claude certification for our engineers. As part of our team, your responsibilities in this role will include: Design and build LLM agents and agentic workflows: tool use via MCP, structured outputs, retrieval (RAG), multi-step orchestration, human review steps where needed. Build and maintain MCP servers and tool layers that give agents governed access to company data and systems. Own quality and cost: evals and golden sets, per-agent telemetry (tokens, cost, latency, accuracy), prompt and model versioning, provider failover and model routing. Ship through CI/CD like any other production service: tests and evals in the pipeline, containerized deploys, monitoring, rollbacks. Contribute to shared platform pieces: the agent template, the LLM gateway, observability. Work directly with business stakeholders to scope, prioritize and validate use cases. Push back when something doesn't need an agent. Use AI coding tools daily. Claude Code is our default; deep experience with a comparable agentic tool also works. You drive the tool, verify its output and catch its mistakes. Our ideal candidate possesses the following skills: 5+ years of software engineering experience, with production systems you've designed, shipped and supported. Proven experience building LLM-based agents or agentic workflows that reached production with real users. Hands-on experience with agent frameworks and SDKs: Claude Agent SDK, Claude Managed Agents, Pydantic AI, LangGraph or similar. You can also explain what you'd build without one. Hands-on experience with MCP and RAG: you've built MCP servers or equivalent tool layers, and retrieval pipelines over real, messy data. Experience with multiple LLM providers and with AWS Bedrock: model selection, routing, fallbacks, cost and rate-limit management. Strong Python and SQL. Comfortable in TypeScript/Node.js. Solid production engineering on AWS: Docker, CI/CD, testing, observability. Product thinking and business focus: you start from the problem and its cost, define success in measurable terms, and own outcomes. Daily use of agentic coding tools (Claude Code, Codex, Cursor or similar), with the judgment to verify what they produce. Clear communication with technical and non-technical stakeholders, in English. Nice to have: LLM observability or gateway tooling (Langfuse, LiteLLM, OpenTelemetry for LLM traces or similar). B2B contact and company data: enrichment, deduplication, matching. Cloud operations or FinOps: monitoring, incident handling, cost management. Event-driven or workflow-engine experience (Kafka, Temporal or similar). Experience replacing no-code or workflow-tool automations with production code. What we offer: Fully remote work format; A collaborative and creative environment that values initiative and experimentation; Paid time off and sick leave; Reduced working hours on Fridays during the summer; Days-off on US national holidays + your birthday; Schedule: 14 PM - 23 PM EEST (Kyiv time).