Вакансии

What you'll do Agentic engineering Architect and build a production multi-agent system that can safely take actions across Distru and our customer’s core systems Iterate and maintain the MCP that connects Distru to Claude & Codex. Own reliability, observability, and durable execution end to end.

Location: Remote - Singapore, Remote - APAC Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: As a Staff Software Engineer, you will be responsible for architecting, designing, and implementing the systems and services that form Alpaca's foundation and empower millions of users who trade billions of dollars worth of assets. You will serve as a technical leader with extensive influence that goes beyond the immediate team to affect the entire product's technical direction. You will be the founding technical lead for Singapore and the broader SEA region: leading regional recruitment, leading cross-functional projects, mentoring talent on our engineering principles and practices, and fostering Alpaca culture in the region. As the lead, you will also serve as the operational reliability and engineering lead and the incident commander during regional business hours, ensuring proactive 24x7 stability. For this role, we are seeking a backend engineer who has built the middle- and back-office systems that are a broker-dealer's system of record — customer account management and KYC, pre-trade controls such as buying-power validation, post-trade processing, double-entry ledgers and books-and-records, clearing and settlement, custody, corporate actions, reconciliation, and regulatory reporting — for a firm serving end investors. This is not a front-office trading-systems role: experience limited to sell-side market-making, low-latency/high-frequency execution, quantitative trading strategy, or exchange-side trading infrastructure is not sufficient on its own. The ideal candidate has a track record of architecting solutions that span multiple products or services, acts as a mentor and consultant providing strategic technical insights, and can take a platform into new markets repeatedly as Alpaca expands across SEA. Things You Get To Do: Architect and design highly scalable, mission-critical brokerage systems spanning multiple products or services. Develop and enhance middle- and back-office systems, including gRPC microservices, APIs, and third-party vendor integrations. Build customer account/PII systems, KYC/CDD/AML controls, and pre-trade multi-currency buying-power and margin engines. Partner with core teams to extend frameworks for regional languages, currencies, and regulations, starting with Singapore and expanding to SEA markets. Provide strategic technical insights and mentor engineers to shape the long-term engineering roadmap and foster technical growth. Lead cross-functional projects and establish engineering standards, code review practices, and decision-making frameworks. Serve as incident commander and operational reliability lead during regional business hours to ensure proactive 24/7 stability. Participate in on-call rotations and ensure timely response to production issues. Attend meetings held during Singapore business hours and occasional meetings with teams in other regions (including Japan, US, and EU). Lead technical integrations and recruitment for market launches, engaging with regional stakeholders and regulators like the MAS. Who You Are (Must-Haves): Business-level English fluency, with the ability to collaborate effectively in English-only team meetings, design discussions, code reviews, and written documentation. Extensive hands-on experience building broker-dealer middle- and back-office systems of record (clearing, settlement, custody, corporate actions, reconciliation) serving end investors rather than trading desks. Proven track record architecting and developing complex financial systems grounded in a double-entry ledger and books-and-records model. Deep experience engineering customer account management infrastructure with sensitive PII handling, alongside KYC/CDD/AML and sanctions screening across the full account lifecycle. Demonstrated experience implementing pre-trade risk and eligibility controls, including real-time multi-currency buying-power calculation, margin requirements, and order validation. Advanced proficiency in Go or similar modern backend languages, with extensive production experience designing high-throughput REST and gRPC microservices. Deep architectural background in domain-driven design (DDD) and event-driven distributed systems for high-availability financial applications. Thorough familiarity with Singapore regulatory requirements (MAS, Securities and Futures Act, MAS Notice SFA04-N02 on AML/CFT) and broader Southeast Asian financial markets. Working knowledge of regional data protection laws and compliance standards for sensitive client data, specifically the Singapore PDPA. Proven ability to balance hands-on architecture with leadership, mentoring engineers, driving technical decisions, and shaping roadmaps beyond the immediate team. Ability to lead and troubleshoot incidents or bugs with authority during Singapore business hours. Who You Might Be (Nice-To-Haves): Residence in Singapore Experience launching products in multiple SEA markets (e.g., Indonesia, Malaysia, Thailand, Vietnam, Philippines) Proficiency in an additional regional language (e.g., Mandarin, Bahasa Indonesia/Malay, Thai, Vietnamese) Experience working in a startup or fast-growing technology company Experience managing vendors and organizational budgeting Experience with microservices, service mesh, and distributed systems at scale; cloud platforms (GCP, AWS, Azure) and Kubernetes How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: San Francisco, CA | New York City, NY About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Claude Design lets anyone collaborate with Claude to create polished visual work: interactive prototypes, product mockups, slides, and animations. We're making Claude the best visual storyteller there is, lowering the floor so anyone can bring an idea to life, and raising the ceiling on what the most skilled creators can make. We work on Artifacts in Claude, and so far we've shipped new kinds of artifacts like Claude Design, Slides, Whiteboard , and Motion, and we are exploring new bets. We're looking for Software Engineers to help build and shape Claude Design and the creative capabilities of Claude. We are exploring the frontier of how Claude collaborates with people visually, and how Claude can empower better human to human collaboration as well. You'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, partnering directly with researchers and users, and helping to generate the crucial insights that shape where the product goes next. You'll join a small, fast-moving team with high autonomy. If you're a strong design engineer who loves building visual products and likes to sweat the details, we'd love to hear from you. Key responsibilities Build and ship user-facing features across our products, and help decide which creative spaces we explore next Set technical direction for these products, including editor and canvas architecture, real-time collaboration, and rich import and export Own the quality bar for how these products look and feel, treating latency, responsiveness, and reliability as first-class concerns and raising user experience and design considerations early Partner with researchers to rapidly prototype experiences around vision and generation capabilities, and help improve the quality of what Claude generates Spend time with users and dig into how people actually use what you ship, then turn what you learn into what we build next Build the shared foundations that let us launch new creative tools quickly and make them work well together Minimum qualifications Strong design sensibility and a high bar for craft, including attention to interaction details, motion, and polish Ability to thrive in ambiguity and be energized by uncertainty High agency, good judgment about what matters, and a bias toward shipping A deeply user-centric approach: you validate ideas with actual users before over-investing and talk about problems before solutions Strong opinions held loosely: you advocate forcefully for ideas but change your mind based on evidence Care for Anthropic's mission and the societal impacts of your work Preferred qualifications Extensive experience working with or building visual collaboration and creative tools Experience with UI and UX for AI-powered applications, and fluency collaborating closely with designers Background conducting user research, interviews, and usability testing Experience building and shipping products from 0 to 1 Experience building product platforms, primitives, or shared foundations that other products and teams build on top of Performance optimization experience, such as profiling, improving rendering, and tracing end-to-end latency The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $405,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: 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 . This role is fully remote. Reddit has a flexible first workforce. The Site Experience SRE team sits at the intersection of infrastructure, product engineering, and user experience - ensuring that every interaction across web, mobile, APIs, feeds, media delivery, and real time systems is fast, reliable, and resilient. We are looking for a Senior Staff Site Reliability Engineer to lead reliability engineering initiatives for critical user facing systems at internet scale. In this role, you will partner with engineering leadership to identify foundational operational challenges, define comprehensive long-term strategies to address them, and lead complex engineering programs that turn those strategies into durable improvements across Reddit. This is a deeply technical leadership role for someone who can anticipate systemic reliability challenges, shape long-term engineering strategy, and mobilize teams across the organization to deliver lasting change at internet scale. What you’ll do: Advance Reddit’s Reliability Strategy Build an understanding of reliability across Reddit’s systems, teams, and practices. Partner with engineering leadership to evolve our long-term strategy and drive the next stage of how Reddit builds and operates reliable services. Apply Deep Expertise at Global Scale Bring firsthand insight in operating the world’s largest platforms, and adapt and extend them to solve Reddit’s unique technical and business challenges. Lead Reliability Engineering for User Experience Lead complex, cross-organizational programs advancing reliability, scale, and performance for critical user-facing systems across APIs, content delivery, feeds, search, messaging, and real-time experiences. Shape the Future of Reliability Guide the team’s long-term roadmap, setting direction and aligning investments across domains to build resilience, unlock scale, and enable innovation. Build Strategic Partnerships Own and grow cross-functional partnerships across product and infrastructure engineering, aligning teams on shared reliability priorities and shaping the investments that keep Reddit resilient as it scales. Influence Engineering Standards Define and champion best practices around reliability engineering, SLIs/SLOs, capacity management, release engineering, and operational maturity across the company. Elevate the Team Develop engineers at every level through technical leadership, mentorship, and shared learning. Strengthen the team’s engineering judgment, reliability expertise, and ability to deliver with confidence. What We’re Looking For 10+ years of experience in Site Reliability Engineering, Infrastructure Engineering, or related roles operating best-in-class large-scale distributed systems. Expertise leading complex, cross-organizational engineering programs from design through launch. Experience evolving company-wide reliability strategy and guiding long-term roadmaps and investments across technical domains. Proven ability to build sustained partnerships with engineering leadership, product, and infrastructure teams to align technical and business priorities. Deep knowledge of reliable and resilient systems designs, with experience adapting them to organizational needs and driving adoption. Expertise diagnosing complex failures across applications, infrastructure, and networking, and improving observability to expose systemic risks. Strong software engineering fundamentals and operational judgment, with a record of developing engineers at every level and raising engineering standards across teams. Nice to Have Experience with Kubernetes, containers, cloud infrastructure, and modern deployment platforms. Familiarity with technologies such as Prometheus, Grafana, OpenTelemetry, Envoy, Kafka, ClickHouse, Cassandra, Redis, or similar distributed infrastructure technologies. Experience with CDN optimization, edge reliability, traffic engineering, or global infrastructure. Contributions to open source software or participation in technical communities. Experience leading large scale incident response and operational transformation initiatives. 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 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: $232,500 — $325,500 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: Utah | Remote Please Note: This is a remote position available in the state listed on this job. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we believe in leveraging cutting-edge technology to empower people and transform HR. We’re actively integrating AI into our solutions and workflows to enhance efficiency and drive innovation. To that end, we’re looking to our existing team members and future hires to share this forward-thinking mindset: individuals who are curious about AI’s potential, eager to learn and adapt, and ready to explore how intelligent tools can elevate their work along with BambooHR’s impact on setting people free to do great work. Join us in reimagining the future of HR! Essential Job Duties AI is becoming part of how BambooHR's platform works, from features we build to agents that connect through open protocols. We're hiring a Staff Application Security Engineer to help lead application security through that shift and beyond. You'll set the review bar and standards for agentic systems, and you'll architect the agents our security team uses to scale its work. It is a hands-on, organization-level role for someone who does well in ambiguity and gets results through knowledge, influence, and the help of their team. You will: Lead security reviews and threat models of AI features and agentic systems — including autonomous agents, MCP servers, and third-party integrations — and keep review playbooks and quality criteria current Set BambooHR's security standards for AI agents, covering identity and delegated authorization, tenant- and user-scoped data access, safe handling of tool output, tool supply chain, and human-approval requirements, and track adoption as threats evolve Own the design of agents the security team uses for finding validation, triage, review assistance, and remediation — building and shipping them with clear evaluation criteria, bounded permissions, and human approval gates for high-impact actions Help developers and security champions build and use agents safely through self-serve guidance and tooling, and advocate for the partner-team investment that work requires Work with engineering and product leadership to embed security requirements into the SDLC, including design-time and release-time gates for AI features, and make agent-assisted code review, finding validation, and fix suggestions a default part of every team's CI/CD pipeline with clear blocking criteria and a fast exception path Run security programs that span multiple teams and quarters — setting goals, milestones, and success metrics; maintaining a lightweight intake, prioritization, and retrospective cadence; coordinating dependencies across engineering, product, and operations; and reporting progress, risks, and tradeoffs to leadership Represent AppSec in architecture forums, harmonize security requirements to reduce duplicated effort across teams, act as a point of escalation, and coach leaders on security tradeoffs Partner with Legal, Privacy, and GRC on AI governance to close gaps between policy intent and technical implementation through guardrails and automation, including for emerging AI regulations Train and coach software engineers and engineering teams on secure design and threat modeling, with emphasis on authentication, authorization, multi-tenancy, and AI features Mentor fellow security engineers on technical direction and career growth, and close skill gaps on the security team through onboarding, training, and mentorship Participate in an on-call rotation as needed to support incident response and resolve escalated security issues What You Need to Get the Job Done Bachelor's degree in Computer Science, Information Security, or a related field, or equivalent practical experience 8+ years of experience in security, including 5+ years of hands-on experience in application security Experience securing multi-tenant SaaS platforms, including tenant isolation Cloud and infrastructure security experience (e.g., AWS, Azure, GCP) Hands-on experience building AI agents or agentic workflows, with concrete examples of how you handled permissions, failures, and validation — production systems, internal tools, personal or open-source projects, and substantial prototypes all count Demonstrated ability to evaluate the security of AI and agentic systems, including prompt injection, tool and context poisoning, excessive agency, delegated authorization, data leakage, and supply-chain risk in models and tools; familiarity with the OWASP Top 10 for LLM Applications, the OWASP Top 10 for Agentic Applications, or comparable frameworks Ability to design evaluations for agentic workflows covering task success, false positives and negatives, adversarial cases, and regression checks Proven experience leading threat modeling (e.g., STRIDE, attack trees) and design reviews for complex applications and APIs Deep understanding of web application and API security, including authentication and authorization (OAuth 2.0 scopes and delegation, OpenID Connect, token audience and validation), session management, and access control models Strong software engineering skills in at least one language (e.g., Python, TypeScript, PHP), including testing and maintaining tools other people depend on A track record of influencing without authority: leading cross-team initiatives, building business cases, and explaining technical risk in business terms to engineering, product, legal, and leadership audiences Experience mentoring engineers, formally or informally Sound judgment in ambiguous situations, including the ability to explain a tradeoff, recommend a mitigation, and bring risk-acceptance decisions to the right owner What Will Make Us REALLY Love You Experience securing MCP servers and gateways Experience securing AI coding assistants or developer agent tooling at organizational scale, or integrating AI-driven security checks into CI/CD pipelines Familiarity with AI governance and SaaS compliance frameworks (e.g., NIST AI RMF, ISO/IEC 42001, EU AI Act, SOC 2, ISO 27001) Relevant security certifications (e.g., CSSLP, OSWE, GWAPT) Experience building or running security champions programs, such as recruiting and training champions or embedding security advocates in engineering teams What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc , and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you #LI-Remote About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer--M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here . Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

Location: Remote, Worldwide Workplace: remote About Distru Distru is the #1 ERP in the cannabis industry with $15B in sales processed through our platform. We've built a battle-tested ERP and B2B eCommerce platform that powers inventory, manufacturing, sales, and logistics, and we're now building AI infrastructure on top of it to give commercial businesses their all-in-one AI stack. We're growing and profitable, with 5/5 stars on Glassdoor. Our investors include Felicis Ventures, Global Founders Capital, Poseidon Asset Management, and Village Global, who have funded companies such as Shopify, Cruise, HelloFresh, Facebook, Slack, and Opendoor. Get to know the team, our culture and our full benefits at distru.com/careers! The Role AI is at an inflection point for enterprise use, and AI assistants like Claude, Codex, and Grok are seeing record adoption at work. We believe the system of record has never been more valuable for organizing the data AI acts on. We started with our AI Order Agent, now rolled out across our customer base, which lets buyers submit orders from any source in any format. It's the first piece of a much bigger agentic ecosystem we’re building, and we're moving most of our engineering effort to AI-first work to build it. You'll work directly with our Director of AI Engineering to own the technical buildout of our AI product suite, including: Agentic harness: a multi-agent system that safely operates across a business's core tools (ERP, CRM, spreadsheets, calendars, email, analytics, compliance systems) MCP: our MCP that connects Distru to external AI harnesses Context Layer: our context layer that ingests customer data, builds memories and profiles, and feeds back into our harness to create more personalized AI experiences for our customers Evals: the eval suites that make our agents reliable in production And more… You’ll be working directly on the AI system from the ground up and make strong, opinionated calls on the agentic stack and where it goes next. The AI space moves fast and the specifics will change, so this technical vision is something you'll mold. You'll report to the VP of Engineering and the Director of AI Engineering, and work closely with the rest of the product team, eng team, and our customers. What you'll do Agentic engineering Architect and build a production multi-agent system that can safely take actions across Distru and our customer’s core systems Iterate and maintain the MCP that connects Distru to Claude & Codex. Own reliability, observability, and durable execution end to end. The harness takes real actions on customers' data, so the bar is high. Write evals to improve our agentic systems from real customer use cases Build a unified data system that pulls data from multiple sources into a singular data layer that can be exposed to Claude & Codex via an MCP Build a contextual memory system that ingests our customers' data and improves how our agents work for them Set the architectural standards for how agents are built, tested, and shipped at Distru, and bring the rest of eng along AI research & experimentation Keep pace with the latest agentic frameworks, harnesses, toolkits, models, and bring in better approaches as they emerge Rapidly prototype new ideas to present to our team and our customers Engineering workflow Build hands-on with Claude Code and similar tools as part of your own workflow Improve our agentic coding workflow and bring new discoveries to the team What success looks like at 6 months You've shipped core improvements to our harness in production that our customers use daily, with clear observability and iteration for improvement You’ve shipped and iterated on many MCP tools and improvements Every agent you own has an eval suite and observability, so the team catches regressions before customers do You own the architecture of the agentic stack, and other engineers build against patterns you set You’ve built prototypes on how our agentic infrastructure can improve (i.e. a new way to retrieve memories, an agentic onboarding process for our customers) You’ve raised the technical bar on at least one thing the team was doing the slow way What we look for AI fluency For every AI role, we look for three things: Tool fluency: you build with Claude Code or similar every day, you've built your own skills, agents, or workflows, and you can explain why your setup looks the way it does. Workflow fluency: you write evals before you trust a prompt, and you know when a model is the wrong tool and plain code is the right one. Build fluency: you've put agents in front of real users, with guardrails, observability, and a way to roll back. You use AI tools daily and can tell us specifically where your fluency is strong and where you're still building it. Must have 7+ years in full-stack development, ideally on B2B SaaS applications Multi-agent harnesses: hands-on experience building multi-agent harnesses in production, not just prototypes or personal projects MCPs: you've built MCPs that are used in production Production systems: a strong grasp of reliability, observability, permissions, and safe workflow execution Product and engineering: you've operated as both, and you're comfortable owning scoping and decisions, not just implementation Modern stack: proficiency in React, TypeScript, Node, PostgreSQL, GraphQL, and LangGraph, and you pick up new tools and frameworks quickly Startup agility: you've worked at an early-stage startup (under 20 engineers) and you’ve been the one setting direction in that ambiguity, not waiting for it Low ego: you're team-first and measure success by what shipped and whether it worked, not by internal politics Influence : you’ve shaped roadmap, not just executed it Clear communication: you raise concerns and propose solutions before being asked Strong signal Background building supply chain, ERP, CRM, B2B marketplace, or accounting software UX design experience Agentic systems work beyond the must-haves, such as evaluation frameworks or agent-to-agent protocols Experience using Claude Code (or similar) to build products on your own Cannabis industry experience How we work We love building with AI. Trying new models the week they drop, building agents for fun, and forming strong opinions on what works. We invest in it with company-wide AI growth with classes and workshops, AI demo days, AI hackathons, and access to best-in-class models and tools. Taste in building. A lot of this role comes down to knowing what to build, what to cut, and what a great agentic experience feels like for the user. We stay close to the customer. You'll talk to customers and our GTM team directly, not through a chain of tickets. You'll build on what we've learned. You'll have access to the team's combined AI knowledge and the processes and skills we've built. For the full picture of our culture and who thrives here, see distru.com/careers . Benefits Our careers page is the best way to get to know us: the full benefits, our yearly offsites, who thrives here, and what the team says about working at Distru. Here are a few highlights (exact benefits vary by country and employment type): Fully remote across 4 continents Employee-friendly option terms: after 2 years, a 10-year window to exercise if you leave 18 days PTO + 11 holidays (sick days don't count toward PTO) Medical, dental, vision + 401(k) for US employees The best AI tools available and a generous AI stipend for everything else Yearly in-person team offsites Interview process Application questions: three short written questions in Lever on how you build with LLMs Recruiter screen (30 min): your background, the most complex AI product you've worked on, and your personal AI tool stack Technical interview (45–60 min): a deep dive into a complex product you've built, a live harness design discussion, and a screen-share walkthrough of your day-to-day setup Harness take-home (3–4 hours): spec a real feature on our agentic harness across product and UX, system design, and implementation details Take-home review (60 min): a technical deep dive into your submission with two engineers, including how your design holds up when a constraint changes References and offer Distru was formed by an environment of mutual respect and trust made up by people working together without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by law. We believe that diversity and inclusion among our team members is critical to our success and we proactively strive to recruit, develop and retain the best and brightest people from the most diverse candidate pools we can find all over the world. Where you land in the range depends on your experience and skills.

Location: New York, NY Our mission at Duolingo is to develop the best education in the world and make it universally available. It’s a big mission, and that’s where you come in! At Duolingo, you’ll join a team that cares about finding innovative solutions to complex technical problems , running countless experiments (300+ at a time!) with our massive user base to make data-driven decisions, and educating our users and employees alike. You’ll have limitless learning opportunities, mentorship and collaboration with world-class minds, and a variety of projects with large scopes — while doing work that’s both fun and meaningful. Join our life-changing mission to develop education for our half a billion (and growing!) learners around the world. About the role As a Staff Security Engineer, you will shape and deliver Duolingo’s security strategy, safeguarding our learners, employees, systems, and services. You’ll identify the highest-impact security problems, lead complex initiatives from proposal through production, and build durable security capabilities across our applications and cloud infrastructure. Working across Engineering, Product, Legal, Finance, and IT, you’ll make practical risk decisions, establish secure-by-default patterns, and help teams ship safely at scale. This role is based in New York City. We know great candidates bring different combinations of experience. If you meet some or most of the qualifications below, we encourage you to apply! :brain:  You will... Set technical direction for security across Duolingo’s applications, cloud infrastructure, and engineering systems. Lead complex, multi-team security initiatives from problem definition and design through implementation, measurement, and ongoing ownership. Design and build scalable security services, controls, and automation that prevent, detect, and remediate risks with minimal manual effort. Partner with engineering teams to threat model systems, review architecture and code, prioritize risks, and deliver practical mitigations. Strengthen security across the software-development lifecycle, including secrets management, dependency security, vulnerability management, and CI/CD controls. Evaluate Duolingo’s security posture, use evidence to identify the highest-impact investments, and define measurable outcomes for security programs. Lead technical response to significant security incidents and translate lessons learned into lasting improvements. Establish reusable secure-by-default patterns for cloud and application infrastructure, including infrastructure as code. Communicate technical risks, tradeoffs, and recommendations clearly to engineering teams and company leaders. Mentor engineers, scale security knowledge through documentation and guidance, and raise the technical bar across Engineering. :check: You have... A track record of leading large, complex security engineering initiatives across multiple teams from proposal through production. Deep experience in at least two of the following areas: application security, product security, cloud security, infrastructure security, detection and response, or security automation. Strong software-engineering skills in one or more programming or scripting languages and experience building reliable production systems or internal platforms. Experience securing cloud environments and designing controls for identity, networking, data protection, secrets, logging, and workload security. Experience applying threat modeling, architecture review, code review, and vulnerability analysis to real-world systems. Experience using infrastructure as code and CI/CD to deliver repeatable, testable, and secure configurations. Sound judgment in balancing security risk, engineering effort, product needs, and business priorities. Clear written and verbal communication skills, including the ability to influence stakeholders with different technical backgrounds. The ability to work from or relocate to New York City. :star: Exceptional candidates will have... Experience building a security program or technical capability from an early stage and scaling it across an engineering organization. Experience securing large, multi-account or multi-cloud environments, particularly AWS and GCP. Experience creating security platforms or paved-road patterns adopted broadly by engineers. Experience leading high-severity incident response and driving durable improvements afterward. Experience applying AI-assisted tooling to security analysis, remediation, or control validation. The offered salary is dependent upon several factors, including work experience, skills, and internal peer comparisons. The posted range is subject to change in the future. For this role, base salary is supplemented by equity compensation. We encourage you to talk with your recruiter for more information related to compensation for this role! Salary Range: $204,000 — $306,000 USD Benefits: Take a peek at how we care for our employees' holistic well-being with our benefits here . Job Alerts: Sign up for job alerts here . Accommodations: We will do everything we can within reason to make sure that your interview takes place in an environment that fairly and accurately assesses your skills. If you need assistance or accommodation, please contact accommodations@duolingo.com . Equal Employment Opportunity: Duolingo is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Fraud Warning: Unfortunately, there is a rise in scammers pretending to be real Duolingo employees. Duolingo and our employees will never ask for your Social Security number, bank details, or passport info, and we’ll never ask you to deposit a check, purchase equipment, or exchange money during the interview process. Real Duolingo employees always use an email that ends in @duolingo.com or @recruiting.duolingo.com. Stay alert and double-check these details before sharing any information. By applying for this position your data will be processed as per the Duolingo Applicant Privacy Notice .

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. At 1Password, our purpose is to build a safe, simpler digital future for everyone. As a Senior Staff Performance Marketing Manager, you’ll lead multi-channel paid Business-to-Business (B2B) strategy that supports our sales-led growth motion, helping reach enterprise and mid-market audiences and turn marketing investment into qualified pipeline and revenue. Reporting to the Director of Performance Marketing, this role is open to candidates based in the United States or Canada. How we’re using AI today On the Marketing team, we’re growing our AI capability together and redesigning how work gets done. We’ve built agents to improve workflows focused on competitive intelligence, content creation, and campaign planning, helping us stay sharp, reduce context-switching, and surface the right information at the right time. AI helps us coordinate, execute, and uncover insights faster so we can spend more time on what’s most important: performance, judgement, and driving the future of 1Password. This is a remote opportunity within Canada and the US. What we're looking for: • 8+ years of experience in performance marketing, demand generation, or growth marketing. • Hands-on experience managing paid channels such as affiliates, paid social, display, native, programmatic, direct buys, or emerging channels. • Experience supporting a sales-led growth motion and connecting marketing activity to Marketing Qualified Leads (MQLs), Sales Qualified Leads (SQLs), pipeline, and revenue. • A track record of driving measurable pipeline and revenue impact through paid B2B programs. • Strong analytical skills and the ability to make thoughtful decisions using incomplete or imperfect data. • Experience partnering with campaign, analytics, marketing operations, or other cross-functional teams to improve performance. • Experience marketing complex technical products to audiences such as developers, information technology (IT) professionals, or other technical decision-makers. Experience in cybersecurity or familiarity with artificial intelligence (AI) tools and automated workflows is also a plus. What you can expect: • Own the B2B performance marketing and demand generation strategy for a sales-led growth motion, aligning paid programs with pipeline and revenue objectives. • Develop annual and quarterly roadmaps informed by business goals, audience insights, performance trends, and experimentation results. • Manage paid channels and platforms end to end, from strategy and execution through optimization, reporting, and continuous improvement. • Evaluate Return on Investment (ROI), marginal returns, and channel performance to guide budget shifts, scaling decisions, and investment strategy. • Monitor leading indicators such as leads, MQLs, conversion rates, and Cost per Lead (CPL), as well as downstream pipeline, opportunity volume, and revenue influence. • Design, execute, and analyze experiments across audiences, channels, creative, offers, and funnel stages, translating results into scaled programs and clear recommendations. • Partner with Global Campaigns, Analytics, Marketing Operations, and external vendors to improve lead quality, strengthen campaign performance, and share actionable insights. USA-based roles only: The annual base salary for this role is between $157,000 USD and $228,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $133,000 CAD and $183,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Location: Remote, United States GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As a Staff Backend Engineer on GitLab's Core DevOps team, you'll provide technical leadership across your team and adjacent teams. You'll lead large backend initiatives, guide the modernization of a large monolith into modular, reusable, appropriately independent systems, and set standards that help teams move faster without compromising quality, security, reliability, or operability. You'll work with Product, Frontend, Infrastructure, Security, Data, Engineering Managers, and engineers across product groups. You'll lead complex backend architecture, make product trade-offs, and influence technical direction without formal authority. GitLab is an open core software company that develops an artificial intelligence-powered DevSecOps platform. Our mission is to enable everyone to contribute to and co-create the software that powers our world. We work in an all-remote, asynchronous environment where you communicate decisions clearly in writing and work independently. What you’ll do Lead the technical design and delivery of backend initiatives that span teams, and identify and remove systemic bottlenecks across product and infrastructure groups. Drive modular backend, service, data, and platform architecture, including modernization of the monolith and legacy backends while preventing fragmentation and service sprawl. Define and improve standards for application programming interfaces, contracts, compatibility, schema evolution, testing, security, performance, observability, operability, and maintainability. Establish patterns for dependency management, data ownership, eventing, failure isolation, service maturity, and operational documentation. Establish Go service patterns and Kubernetes operating practices where they matter to the production estate, and guide Rust adoption where it addresses systems, security, performance, or supply-chain needs. Take part in on-call and incident response for systems your teams own, serve as a technical escalation point during complex incidents, and turn lessons from incidents into lasting improvements. Partner with Product and Engineering leadership on platform roadmap decisions and investment trade-offs. Mentor Senior and Intermediate engineers, reduce technical debt, build reusable patterns that improve team throughput, and lead adoption of artificial intelligence-assisted and agentic workflows with quality, security, privacy, and operational guardrails. Take part in on-call or operational support where your team’s ownership model requires it. What you’ll bring A record of leading technical work across more than one team or a broad product area. Deep backend architecture and production experience with complex applications, services, or platforms, including application programming interfaces, service platforms, data systems, modular monoliths, or shared backend components. Experience modernizing a monolith or legacy backend architecture in production and using modular approaches such as bounded contexts, package encapsulation, ports and adapters, service extraction, or event-driven boundaries. Experience building alignment through clear written proposals and decision records so teams document, understand, and adopt technical decisions. Experience making trade-offs among customer outcomes, delivery speed, technical health, reliability, and long-term platform investment. Experience mentoring engineers and shaping standards through code review, documentation, and practice. Production experience with artificial intelligence-assisted or agentic engineering workflows, including improving how a team adopts them. Due to customer requirements, you must be a United States Citizen (defined as any individual who is a citizen of the United States by law, birth, or naturalization) to fill this position About the team The Core DevOps team owns core repository capabilities, from Git command-line operations to web-based code exploration. We build features and platforms, improve existing capabilities, and improve maintainability, accessibility, performance, and workflows for teams using artificial intelligence-assisted development tools. The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. See more information on our benefits and equity . Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary. United States Salary Range $152,800 — $259,200 USD How GitLab Supports Full-Time Employees Benefits to support your health, finances, and well-being Flexible Paid Time Off Team Member Resource Groups Equity Compensation & Employee Stock Purchase Plan Growth and Development Fund Parental Leave Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application. Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process. Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us. GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law . If you have a disability or special need that requires accommodation , please let us know during the recruiting process .

Location: New York City, NY; San Francisco, CA; Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role How do we know whether a model is safe - and how do we know whether the systems we built to catch misuse actually catch it? Anthropic answers both questions with evaluations. We measure model behavior across misuse, prompt injection, and user well-being to inform training and deployment decisions. We also use AI to investigate potential misuse of Claude, analyzing real-world traffic to surface bad actors and emerging threats that drive enforcement actions. Neither is worth much unless the evaluations behind them are representative, robust, and trustworthy. This role builds the methods and infrastructure that make them so. Sitting at the intersection of applied ML research and engineering, you'll design experiments to improve how we evaluate both model behavior and the agentic systems that govern it, build datasets that represent real abuse rather than clean approximations of it, and ship those methods into the pipelines that gate model training, agent changes, and launch decisions. Responsibilities Evaluation research and methodology. Design and run experiments to improve evaluation quality — developing methods to generate representative test data, simulate realistic user behavior, and validate grading accuracy. Research how different factors (multi-turn conversations, tools, long context, user diversity) impact model safety behavior. Analyze evaluation coverage to identify measurement gaps, and evolve evals so they remain unsaturated and high-signal as model and agent capabilities advance. Agentic investigation evals. Build and own the evaluation harness for an agentic investigation system — defining metrics, test cases, and grading approaches for a complex, long-horizon agent. Measure agent performance end-to-end (detection precision and recall, investigation quality, robustness) and drive hill-climbing on the hardest harm areas. Construct RL environments to improve Claude's safety investigation capabilities. Datasets grounded in real harm. Construct high-quality eval datasets representing real-world misuse across harm areas such as cyber attacks, bio weapons, and influence operations, drawing from both real traffic patterns and synthetic generation. Collaborate with Policy and Enforcement to translate observed harm patterns into measurable evaluations. Productionization and tooling. Ship successful research into evaluation, regression, and release pipelines that run during model training, on every agent change, prompt update, and underlying model upgrade, and beyond launch. Build tooling that enables policy experts to author, run, and iterate on evaluations without engineering support. Surface findings to research and training teams to drive upstream model improvements. Minimum qualifications Experience building and maintaining data pipelines Experience working with LLMs and a working understanding of their capabilities and failure modes — especially agentic systems with tool use and multi-step reasoning Strong data analysis skills — you can draw reliable insights from large datasets Ability to move fluidly between research prototyping and production-quality code Ability to translate ambiguous problems into concrete, testable experiments Care deeply about AI safety and want your work to have real impact Preferred qualifications 8+ years of industry software engineering or ML engineering experience Expertise in building or contributing to LLM or agent evaluation frameworks, benchmarks, or automated grading systems Extensive experience in trust and safety, content moderation, or abuse detection systems Experience in red teaming, adversarial testing, or jailbreak research on AI systems Experience with synthetic data generation or data augmentation Experience with distributed systems or large-scale data processing Experience with prompt engineering or building LLM-powered applications The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: San Francisco Perplexity is seeking energetic engineers to join our highly driven Agent Engine team. The Agent Engine team designs and builds powerful agentic experiences including Perplexity Computer https://www.perplexity.ai/computer, the Comet ecosystem, our Agent API, and more. In short, we build frontier intelligence systems for the world's most discerning users. As an engineer on our Agent Engine team, you'll bring AI expertise, sharp product intuition, and a tinkerer's mindset to advance the frontier of what agents can accomplish for our millions of devoted users. You'll work across engineering and applied research to solve many open problems in AI, including: - Designing frontier agent harnesses and systems to perform high-stakes, mission-critical work for our users; - Leveraging action and decision models that determine, based on complex multimodal states, how to accomplish user-specified objectives; - Providing consistently excellent experiences across local execution, headless cloud, custom executors, and other environments through sound system design and flexible abstractions; - Developing permission architectures, payload classifiers, and other methods to implement secure-by-design agentic capabilities; - Designing optimal data representations and modes of interaction between agents and their environments; - and much, much more. QUALIFICATIONS - Strong foundational familiarity with the AI systems stack. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Significant experience in at least one of the following areas: - Harness engineering - Agent Skills and plugin architectures - Model training and reinforcement learning - Browser technologies (CDP, Playwright, extension development, etc.) - Strong technical intuition and taste for user experience excellence. - Comfortable working with a small, fast-moving team; bias toward ownership. - A passion for shipping products that surprise and delight.

Location: United States; San Francisco; Canada; New York; Ottawa; Toronto; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! WHY THIS ROLE? We're building the foundational infrastructure that will define how the world thinks about and deploys AI, and we want the sharpest, most driven, and most curious people to help us do it. As the founding lead of Agentic Analytics, a new team in our Analytics and Data Insights organization, you'll own how Cohere gets answers from its own data: an agentic analytics system that answers business questions over governed data, shows the source, query, and freshness behind every answer, and asks for clarification or declines when the evidence is insufficient. Agentic analytics is far from a solved problem, and correctness is the hard part. A query that runs can still answer the wrong question. Agents go wrong when a business term maps to more than one table, when data goes stale, and when the right context never reaches the model. The worst failures are silent and plausible: a join that double-counts, a wrong denominator, missing data read as zero. Getting this right takes governed definitions, context an agent can use, and an evaluation bar that decides what ships. You'll build on work already in motion: an internal analytics agent in pilot on our BigQuery warehouse, which is fed by tested ingestion pipelines and modeled in dbt. In your first year, you'll take it to production for teams across Cohere, one domain at a time, and make it replicable: each new domain stands up with configuration, a fresh evaluation set, and very little new code. This is a hands-on staff engineering role reporting to our Senior Director of Data Analytics. You'll write production code and evaluation sets yourself while managing a small founding team that grows as the system proves itself. You may have held the title software engineer, AI engineer, or data scientist; what matters is that you've built a system like this and run it in production. RESPONSIBILITIES As the lead of Agentic Analytics, you will: - Own the system end to end. Set the architecture for how a business question becomes a governed query and a verifiable answer: interpreting the question, retrieving the right context, applying approved definitions and joins, enforcing the asking user's permissions, and attaching the evidence (source, query, freshness) to every answer. - Build and run it in production. Design the core services and write much of the first version yourself: agent-facing data tools (MCP or equivalent), context retrieval, agent skills for analytics, and the APIs that serve answers. Hold them to production standards for reliability, latency, cost, security, and observability. Put it where people already work: Slack, North, IDEs, and other agents. - Hold every release to the evaluation bar. Build and run the evaluation harness, and define what correct means in each domain: ground-truth question sets, including held-out cases and questions the agent should clarify or decline; result-level scoring, correct-or-decline rates, coverage, and error severity; and regression tests on every change to context, skills, or models. Nothing ships below the bar, and the call on when a domain is ready for production is yours. - Engineer the context layer. Turn metric definitions, approved joins, documentation generated from the code that builds each table, a business glossary, and worked examples into context the agent can use. Every correction becomes a reviewed definition and a regression test. - Roll it out across Cohere. Bring domains such as marketing, revenue, finance, and product onto the system one at a time, each with named owners, certified definitions, and its own evaluation set. Measure adoption, accuracy, turnaround, and correction effort against how those teams work today. - Make it replicable. Package the tools, skills, context templates, and evaluations, and document them well enough that other teams at Cohere can run the system without you. - Hire and lead the team. Bring on the team's first engineers, set the technical bar, review the work, and develop the people doing it. - Partner across Cohere. Work with our data platform team on the warehouse and semantic models, our model evaluation team on evaluation methodology, our security team on access, and each domain's owners on definitions and rollout. QUALIFICATIONS You may be a good fit, if you have: - 10+ years building and operating production analytics or software systems, including technical leadership of a team or of systems that span teams - Experience shipping LLM agents to production: tool use, MCP or similar, retrieval and context engineering, guardrails, and observability, with firm opinions on where they fail - Hands-on experience building natural-language or agentic analytics (text-to-SQL, analytics agents, question answering over a semantic layer) that real users relied on, and evidence that it was right - Depth in evaluating LLM systems: golden sets, result-level comparison, abstention metrics, error taxonomies, and regression testing in CI, plus the judgment to tell a good demo from a system you'd put in front of a CFO - Strong Python and SQL, and experience designing and running production services and APIs on a major cloud (Google Cloud is a plus) - Fluency with data: cloud warehouses (BigQuery, Snowflake, or similar), dbt, and semantic layers (MetricFlow, LookML, Cube, or similar). You think in grain, metric definitions, and approved joins, and you can tell when a number is wrong before it reaches a decision - Experience building identity-aware access for agents, where the agent acts with the asking user's permissions and every query leaves an audit trail - Experience hiring and developing engineers, with a leadership style grounded in empathy as much as in data - Genuine excitement about AI: you follow the research, have opinions, and enjoy being in the weeds - Comfort operating in ambiguity, leading through partners you don't manage, and writing design docs and eval reports that settle decisions across teams If some of the above doesn't line up perfectly with your experience, we still encourage you to apply! FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. About the role: Make Replit the single place where businesses can buy everything they need through their agents. As a Staff Software Engineer on Replit’s Money team, you’ll set technical direction and build the commerce platform that lets users discover, evaluate, purchase, and manage the products and services they need to build and run their businesses—without leaving Replit.   Replit already enables businesses to accept payments through integrations such as Stripe. This role builds on that foundation to expand what businesses can buy and accomplish through Replit Agent. You’ll design commerce experiences that combine the simplicity consumers expect with the controls enterprises need, making agent-assisted purchasing useful, trustworthy, and reliable.   You’ll own architecture and lead cross-team delivery across merchant and service-provider integrations, agent tools, purchasing workflows, and the lifecycle after a transaction. The challenge goes beyond executing a payment: agents need to understand what a user wants, present clear choices and costs, act within delegated authority, and verify that the purchase delivered the intended outcome. You’ll stay hands-on with design and code while aligning partners, mentoring engineers, and turning an ambitious product vision into incremental customer value. You will: - Set technical direction for Replit’s financial infrastructure, with an immediate focus on enterprise billing, spend controls, and financial correctness. - Build shared services for usage-based billing, pricing, credits, subscriptions, and entitlements so product teams can launch without rebuilding billing. - Automate enterprise contract lifecycles—from onboarding through amendments and renewals—keeping commercial terms, provisioned credits, and invoices in sync. - Build timely budget enforcement, alerts, and overrides that give customers control over spend without disrupting their hosted apps. - Make AI usage understandable: attribute costs to the right customer, workspace, user, or agent, including delegated work without double-counting. - Build reconciliation and audit trails that make balances and invoices explainable and help Finance catch discrepancies before customers do. - Simplify the billing stack through safe migrations that preserve balances, transaction history, and customer access. - Own production reliability through testing, observability, incident response, and safe recovery from duplicate events, delayed usage, and partial failures. - Stay hands-on while leading cross-team delivery, mentoring engineers, and partnering with Product, Finance, Sales, and Support. Required skills and experience: - A track record of Staff-level technical ownership: setting architecture and delivering complex initiatives across teams. - Deep experience building and operating production backend or distributed systems. - Strong fundamentals in API design, data modeling, databases, and event-driven architecture. - Sound judgment around transactions, consistency, concurrency, idempotency, and failure recovery. - Experience evolving live systems and migrating data without compromising correctness or availability. - Product judgment that balances customer needs, delivery speed, and long-term system quality. - Clear communication with technical and non-technical partners, including translating business requirements into system behavior. - Hands-on leadership through implementation, design reviews, mentoring, and production ownership. Preferred Qualifications - Experience with billing, payments, subscriptions, credits, entitlements, or other financial systems. - Experience with enterprise contracts, negotiated pricing, invoicing, or quote-to-cash automation. - Experience with high-volume usage metering, pricing calculations, or low-latency spend controls. - Experience building reconciliation, financial reporting, or auditable transaction histories with Finance and Accounting. - Experience integrating billing, payment, or CRM platforms, with judgment about what to build versus buy.   Bonus Points: - Experience with AI or cloud infrastructure billing, including variable costs and attribution across distributed workloads. - Experience building customer-facing spend visibility, budgets, or internal tools that reduce manual billing work. - Experience with cloud marketplace billing, payment recovery, or fraud and dispute workflows. - Familiarity with agentic commerce or delegated spending. These are additional strengths, not requirements. What we value: - Customer outcomes: success means a business can get what it needs through its agent, with clear costs and a verified result—not merely a completed API call. - User control and trust: agents act within explicit authority, surface consequential choices, and make purchases and ongoing commitments understandable. - Consumer simplicity and enterprise readiness: straightforward experiences should coexist with the controls organizations need. - End-to-end ownership: we own the experience from intent through purchase, fulfillment, and ongoing management. - Pragmatic technical leadership: we build on what exists, deliver incremental value, and invest in correctness and extensibility where they matter. - Clear collaboration: we document decisions, surface risks early, and help other teams and partners succeed. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: US, Remote Workplace: remote 15Five is the AI-powered performance management platform built for business impact. 15Five’s AI-powered all-in-one people management system is easy to use,
delivers effortless insights, and enables managers to lead with impact so that companies and their people can thrive. Within the flow of work, HR leaders are empowered with data-driven insights and recommendations while managers are transformed into change-makers, accelerating engagement, performance, and retention. 15Five combines generative AI, custom analytics, and human-centered principles within a complete platform, including 360° performance reviews, engagement surveys, goal tracking, manager coaching and training, and ongoing feedback tools like guided 1-on-1s and check-ins.     A career at 15Five is the chance to have high impact in a fast paced, remote startup environment that operates with focus, urgency, and accountability. Every role and every hire meaningfully impacts our trajectory.   We’re a high-performance, high-purpose team that gives you the chance to Build the Future of Work. We run on High Standards and High Support — holding a high bar for results, ownership, clarity, and disciplined execution, while investing in manager enablement, skill development, and whole-person care. We are committed to a No B.S. environment, meaning we anchor ourselves in truth, course-correct in real time, and expect people to lean into direct conversations. We are focused on ensuring every 15Fiver can Work in the Future and that starts with proactively using AI across all aspects of your role to increase leverage, speed, and impact.   If you're energized by a fast pace, high standards, and high accountability for yourself and others, you'll thrive here and we encourage you to apply. The Staff Product Marketing Manager will define and own 15Five’s story as we move from established performance management messaging toward a future where AI makes HR and performance management processes more efficient. This person will build the narrative from the top down (company story, AI point of view, problems we solve, and proof) and connect our AI products into one clear portfolio story. Partnering closely with marketing, Sales, Product, and Customer experience.   They will test messaging with buyers, carry it through to the website, demand programs, sales narratives, and launches, and show that it works through new-logo pipeline, win rate, and customer adoption and retention. KEY OUTCOMES Outcome 1: Define, test, and secure approval of 15Five’s company story Within the first 90 days, review the interim website messaging against buyer research and recommend what to keep or change Deliver a top-down company narrative (company story, AI point of view, problems we solve, proof) approved by the CEO Establish 15Five’s voice and tone direction Outcome 2: Connect our AI products into one portfolio story Build a portfolio framework that maps each AI product to the performance management and people management problems it solves, approved by the executive sponsor Maintain one approved product narrative that Product, Sales, and Marketing all work from Ensure every published product claim has passed accuracy review Place each new AI product into the portfolio story as it reaches market Outcome 3: Turn messaging into new-logo demand and customer adoption Test core messaging with buyers before broad rollout, and use the results to guide internal decision making Supply the narrative and content for product launches  and the related enablement Deliver win/loss and competitive insights, battle cards, and objection handling, including price and objections Establish baselines and report on messaging resonance using pipeline, win rate, and adoption at each scheduled positioning review Outcome 4: Set customer proof standards and inform pricing and packaging Set customer story criteria and the interview guide in partnership with content marketing and the marketing team. Provide market, buyer, and competitive input to pricing and packaging decisions COMPETENCIES Strategic Narrative & Positioning Repositions an established brand without alienating current customers. Builds the story from the company level down before working on product-level messaging, and frames AI around the problems it solves for HR leaders and managers, never AI for its own sake. Customer & Buyer Obsession Is obsessed with the unmet needs in performance management and people management. Grounds messaging in what buyers and customers actually experience. Evidence-Based Judgment Settles disagreements with buyer message testing, win/loss interviews, and call evidence. Does not treat internal opinion (including executive opinion) or AI-generated output as buyer evidence, and does not let research delay timely recommendations. Executive Influence Leads the writing on a story many senior leaders have opinions about. Pulls the useful part out of conflicting views, presents a clear recommendation, and holds it under pressure without becoming defensive. Knows when to escalate and when to keep negotiating. AI & Technical Translation Understands AI well enough to translate capabilities accurately without overselling. Builds credibility with the CTO and Director of Product, cuts product detail without losing accuracy, and separates accuracy feedback from preferences about framing. Writing, Voice & Tone Exceptional writer with a strong sense of voice and tone. Sets the standard that others apply across web, campaigns, sales materials, and customer stories. Cross-Functional Partnership & Execution Carries strategy through to execution with demand generation, content, design, and Enablement. Earns sellers’ trust by joining real deals and turns Sales’ instincts into testable hypotheses. Builds on work in progress rather than starting over. Prioritization & AI-Enabled Productivity Assesses trade-offs and agrees on priorities before taking on new work. Uses AI to build frameworks and run research, competitive analysis, and buyer analysis quickly. DESIRED EXPERIENCE 10–12+ years in B2B SaaS product marketing, including at least one company-level repositioning Track record making AI or technically complex products clear and credible to business buyers; HR tech experience is a strong plus Experience bringing conflicting senior stakeholders to alignment using evidence Hands-on buyer research, message testing, win/loss, and competitive analysis Portfolio or solution messaging across multiple products A writing portfolio that shows a strong command of voice and tone Confident without ego; comfortable building on work already in progress SCHEDULE/WORK LOCATION This is a full-time, salaried exempt position. The typical work week will be Monday through Friday, between the hours of 8:00 am and 5:00 pm (flexible), working an expected 40+ hours/week. Ability to accommodate early-morning or after-hours meetings at least 4 days a week is a must due to collaboration across various time zones. We offer amazing benefits that align with our values and culture at 15Five.   Your Health & Wellbeing Medical, dental, vision with 15Five cost subsidy Employer paid Short-Term, Long-Term Disability, and Term LifeFamily planning support with enhanced medical plans and consultation programs Inclusive Benefits Stipend Access to mental health and wellness resources   Your Life Flexible Time Off Program Generous paid leave for new parents Military leave Paid Company Holidays Sabbatical Program   Your Future 401K with 4% Matching after 6 months   Your Work Life Remote work Work with experts in leadership, culture, and personal development     For more information see: Our Mission, Vision, & Values -https://www.15five.com/about Our People and Culture -https://www.15five.com/about/careers Our Personal & Professional Development Resources -https://www.15five.com/resources/content-library   Reading over the role description and feeling like you don’t check every box? That’s okay; if you think you have what it takes but don’t necessarily meet all the criteria, please apply—you could be exactly who we are looking for!   15Five follows equitable hiring practices. Our compensation programs are designed to attract, motivate, and retain talented employees who are highly engaged, high performing, and have an exceptional impact on the business and our customers.   The salary range displayed on each job posting reflects the target for new hire salaries for the role across all US locations. Within the range, individual pay is determined by budget allocated for the role and additional factors, including job-related competencies and skills, experience, and relevant education or training. Please note that the compensation details listed in US job postings do not reflect added total compensation including equity or benefits.   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Annual Base Pay Range, US Full-Time Staff Product Marketing Manager.  This role's Total Rewards package includes participation in an annual discretionary company bonus program, equity awards, and comprehensive benefit and wellbeing offerings.

Location: New York, NY, United States About Us Fanatics is a leading global sports platform redefining how fans connect with the teams, players and moments they love. Our businesses — Fanatics Commerce, Fanatics Collectibles, Fanatics Betting & Gaming, Fanatics Events, Fanatics Advertising, Fanatics Markets and Fanatics Studios — maximize the presence and reach for hundreds of partners globally and create a one-stop experience that allows fans to buy, bet, collect, and earn, while engaging with sports in deeper, more immersive ways. This includes licensed fan gear and lifestyle products, sportsbook and iGaming, physical and digital trading cards, live events, premium sports entertainment content, credit card offerings and more. Together, they form a powerful, integrated ecosystem — connected by the Fanatics ONE loyalty program and FanCash, the currency of sport — delivering personalized experiences to over 100 million fans worldwide. Fanatics holds partnerships with over 900 sports properties, from professional leagues and players’ associations to teams, colleges and retail partners; over 7,000 athletes and celebrities; and over 2,000 retail locations, including all Lids stores. Backed by a team of more than 22,000 employees, Fanatics is committed to relentlessly enhancing the fan experience. Overview As a Backend Staff Engineer at Fanatics Core, you are a recognized technical leader. You operate both strategically and hands-on while leading ambitious projects, and your solutions set the standard for the team. Your bold decisions balance immediate business needs with long-term technical excellence. Through your leadership, you cultivate a culture of excellence and innovation that leaves a lasting impact on both your immediate team and the broader mobile team. Lastly, you are user-obsessed and know how to drive features from the backend all the way to the frontend. We own the Fanatics App, the brand-forward application of Fanatics that encompasses elements of all of our different brands and businesses. The Fanatics App brings together Free to Play games, live events, ecommerce, and new product experiences to deliver a new Sports platform. Fundamentally, we are one team in everything we do from the user experience to coding and architecture. In order to deliver on our Customer Promise, we use best in class technologies; thus allowing platforms to be as up to date as possible so that we can rapidly deliver and innovate in this exciting new market. Every time a fan places a bet, earns a reward, or checks out on Fanatics — Fanatics Core made that possible. We build the shared foundations — identity, payments, loyalty, wallet, data, and platform — that power sports betting, ecommerce, collectibles, and beyond. We supercharge the business by providing products and capabilities so that teams can focus on what matters most: building delightful experiences for the fans. Responsibilities Drive the development, testing, documentation, and deployment of high-quality, scalable software into production Develop a comprehensive understanding of the industry, product, and roadmap, leveraging this knowledge to shape team strategy and influence the direction of the organization Lead the end-to-end technical execution of complex features and systems, from ideation and architecture to deployment and refinement Define and enforce engineering principles, guidelines, and best practices Partner closely with product, design, and other stakeholders to make high-impact technical decisions that align with both business goals and long-term scalability Lead incident resolution as part of the on-call rotation, ensuring swift diagnosis and remediation of critical software issues Proactively identify and remove roadblocks, occasionally collaborating cross-team collaboration to maintain momentum on complex projects Conduct and elevate code reviews, sharing expertise to enhance code quality Steer team planning and design discussions, introducing innovative approaches to solve technical challenges and optimize design patterns Champion improvements to software quality, testability, operational metrics, and team documentation, setting a higher standard for the organization Mentor and coach engineers at all levels, fostering a culture of continuous learning and professional growth across the team Be open to occasional travel to Fanatics offices and other locations for conferences, events, meetings, and team-building activities Required Qualifications 7+ years of experience building highly scalable, performant and evolvable backend distributed systems; proficiency in Spring with Kotlin and/or Java is a plus. Demonstrated ability to drive best practices in backend development and mentor others in effective coding and architectural strategies, such as clean code, hexagonal/layered architectures, domain driven design and other design and architectural patterns Knowledge of observability practices , including logging, monitoring, and tracing in distributed systems. Expertise in Agile software delivery , with a track record of modeling and driving process improvements across teams, and ability to collaborate cross-functionally across diverse teams within large enterprise environments, driving alignment and shared success. Excellent communication skills , capable of conveying complex technical concepts clearly and effectively to diverse audiences, including engineers, executives, and non-technical stakeholders. Team-first mentality , with a willingness to do what it takes to get the job done and a desire to strive for better. Thrives in a high-growth environment where priorities evolve regularly and decisions are made quickly. Preferred Qualifications Strong Experience in the sports industry, gaming and content delivery Highly effective with Kotlin, Java and/or Go Expertise in messaging technologies such as Kafka or Amazon SQS, with a solid understanding of event-driven architectures. Comfortable working with Cloud Native and Infrastructure as Code, like Kubernetes, Helm and Terraform Ability to work in diverse codebases, both legacy and greenfield, in different languages and environments If you possess some of these qualifications but not all of them, we still encourage you to apply! #LI-AC2 Ranges will change based on country and state of residence, which are reflected in Geographical Zones defined by Fanatics Betting and Gaming. The range incorporates all of our Geographical Compensation Zones and is subject to change as the Zone associated with the actual offer is confirmed. In addition to the base and bonus, full-time employment, and more. For information about our benefits, please visit https://benefitsatfanatics.com/ Salary Range $144,000 — $235,000 USD By submitting your application, you agree to our terms of service and acknowledge you have read our Candidate Privacy Policy. Fanatics will never ask candidates for money, banking information, or other sensitive personal information as part of the interview process. If you receive a suspicious message claiming to be from Fanatics recruiting, please do not respond and report it here .

TensorWave is looking for a Staff Network Engineer to design, scale, and optimize RoCEv2 data center networks for AI and ML infrastructure.

Location: Bengaluru, Karnataka, India, APAC From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. ​ During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Staff Software Engineer for our data pipeline service to build and work on data pipelines that moves data from various sources to data warehouses. The work is very diverse – all the way from patching software to building new connectors operating on our global Kubernetes compute clusters. You will be responsible for ensuring the technical excellence for your team and owned services, by contributing to the code, reviewing code, contributing to architectural design and mentoring your junior colleagues. You will understand the key values that make our product great, and implement those values in the many small decisions you make every day as a product designer. This is a full-time position based out of our Bangalore office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team Technologies You’ll Use Java, SQL, Cloud Data Warehouses, AWS, GCP, Azure, Oracle, Grafana What You’ll Do You'll be working with Cloud APIs, SQL, and NoSQL databases etc. You'll be working on the core data pipeline that moves terabytes of data from all our customers to their data warehouse. You will process the data into clean, incremental, automated updates. As a technical leader in the team, you will drive engineering excellence within the technology team, come up with architecture and design, work closely with engineers in the team to review designs, and contribute directly to code. Skills We’re Looking For 8+ years of software engineering experience with a track record of leading complex, team-scope technical work to completion Experience in architecting reliable distributed systems, with an emphasis on high-volume data management within enterprise and/or web-scale products and platforms that operate under strict SLAs Experience and expertise in building back-end services and data systems Broad technical knowledge which encompasses Software development and automation Experience with use of wide array of algorithms and data structures Strong knowledge and expertise in working with Java, AWS, Cloud-based APIs, databases, data warehouses, software design and programming best practices Entrepreneurial mindset, excellent communication, and technical leadership skills Mentoring and guiding junior staff Create and contribute to an environment that is geared to innovation, high productivity, high quality and customer service Strong knowledge and expertise in writing SQL queries and understanding of query execution plans Proficiency with observability tools like Grafana Understand how to use AI code assist and coding agents to automatically generate code for features, bugs, testing, and investigation Ability to use conversational AI systems (like Claude, ChatGPT, and internal chatbots) to support researching, authoring, reviewing, and synthesizing various SDLC artifacts such as TDDs, PRDs, Postmortems, Test Plans, and Proposals Bonus Skills​ Experience in data processing (ETL, ELT) and/or cloud-based platforms Experience with Data Warehouses like snowflake, Redshift, SQL Server. Experience with Kubernetes and Docker Expertise with database management systems and storage systems. #LI-HYBRID #LI-PE1 Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: Spain; Poland At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients' growth. We empower our people with a culture of excellence and enable them to take ownership and contribute at every level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone's contribution is welcomed. We are looking for a Staff Full-Stack Software Engineer with strong AI expertise to join our team and contribute to the development of complex, large-scale technology solutions for our international client. About the project Our client, Blackhawk Network (BHN) , is a global leader in branded payments, gift cards, and digital commerce solutions. The company operates a large ecosystem of platforms and services supporting gift card issuance, distribution, payment processing, redemption, and reloads. Its portfolio also includes digital gift cards, incentives, rewards, promotional products, and various digital payment solutions. BHN develops and maintains multiple e-commerce platforms and core services that power the management and distribution of these products across a complex international ecosystem. You will have the opportunity to work in a large-scale engineering environment, collaborating with distributed teams across the United States, India, and EU locations. About the role As a Staff Full-Stack Software Engineer , you will play a key technical role in designing, developing, and evolving scalable software solutions. This is a highly hands-on engineering position that combines deep technical expertise, architectural thinking, and the ability to influence engineering decisions across multiple teams. We are looking for an engineer who can confidently navigate complex technical challenges, take ownership of end-to-end solutions, and contribute to the adoption of modern engineering practices, including AI-driven technologies. Technology flexibility is important to us. While experience with JavaScript/TypeScript ecosystems or Java is preferred, we are open to engineers with strong expertise in other modern technology stacks. As a qualified expert You will Design, develop, and maintain scalable, reliable, and high-performance full-stack applications and services. Take technical ownership of complex engineering initiatives, from solution design and architectural decisions to implementation and delivery. Contribute to system architecture, ensuring scalability, maintainability, security, and long-term technical sustainability. Work hands-on across frontend, backend, APIs, integrations, and cloud-based components. Collaborate with engineering teams to identify technical challenges, evaluate trade-offs, and implement effective solutions. Explore and apply AI technologies and AI-assisted engineering practices to improve development efficiency, solution quality, and product capabilities. Provide technical guidance, share engineering best practices, and support other engineers in solving complex problems. Drive improvements in code quality, engineering standards, system performance, and development processes. Collaborate closely with product managers, architects, engineers, and business stakeholders to translate requirements into effective technical solutions. Communicate architectural decisions and technical trade-offs clearly to both technical and non-technical audiences. Work effectively with geographically distributed, cross-functional teams in a multicultural environment. We're looking for you if you have Technical expertise Extensive hands-on experience in software engineering, with a strong background in full-stack application development. Deep understanding of software architecture, system design, design patterns, and engineering best practices. Proven ability to design and deliver complex, scalable, and maintainable software solutions. Strong proficiency in modern backend and frontend technologies. Experience with Node.js, TypeScript, JavaScript, React, Next.js, or Java is preferred, but other technology stacks are welcome. Solid experience with API design, distributed systems, service integrations, and modern application architectures. Good understanding of AWS cloud infrastructure, services, and cloud-native application development. Experience working with complex systems in large-scale engineering environments. Strong problem-solving skills and the ability to make independent, well-reasoned technical decisions. Ability to balance hands-on implementation with broader architectural and technical responsibilities. AI expertise Strong practical understanding of modern AI technologies, their capabilities, limitations, and potential applications in software engineering. Hands-on experience applying AI technologies or advanced AI-assisted development approaches to real engineering challenges. Familiarity with LLMs, generative AI technologies, and modern AI development tools and frameworks. Ability to evaluate opportunities for AI adoption, identify appropriate use cases, and assess technical feasibility. Understanding of how AI can be incorporated into software development workflows or product functionality to deliver measurable value. Communication and leadership Excellent communication and interpersonal skills, with the ability to collaborate effectively across multiple teams and disciplines. Proven experience working with distributed, international, and multicultural engineering teams. Ability to communicate effectively with stakeholders at different levels, including engineers, architects, product teams, and business representatives. Strong technical leadership skills, including the ability to influence architectural decisions, facilitate technical discussions, and drive alignment across teams. Proactive mindset, strong ownership, accountability, and the ability to work independently in a complex organizational environment. Ability to navigate ambiguity, manage competing priorities, and build productive relationships across teams. Upper-Intermediate (B2+) English or higher , with confidence in technical discussions and stakeholder communication. Bonus Points Experience working with large enterprise platforms, e-commerce systems, digital payments, or fintech solutions. Experience with AI-powered product features, LLM integrations, RAG architectures, or other applied AI solutions. Experience optimizing engineering processes through AI-powered automation. Experience contributing to architecture and technical strategy across multiple engineering teams. Previous experience in a Staff Engineer, Principal Engineer, or similar technical leadership role. What's in it for You Reveal great tech solutions. Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment. Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth. Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about. Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Interview with Recruiter Technical Interview Managerial Interview Client Interview