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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 We’re looking for a Solutions Marketing Manager to bring Claude to market across emerging industries and newer customer segments and personas, where enterprise AI demand is moving fastest. You’ll drive the strategic positioning and go-to-market approach for Claude for organizations ranging from small businesses to ecommerce to retailers, manufacturers, and energy companies, and more. You’ll develop messaging and positioning for nuanced sub-sectors that we have yet to build for and that need their own story, and also develop narratives for the professionals who do the work inside them. Working at the intersection of sales, product, and marketing, you'll develop segment-specific solutions that showcase Claude's transformative potential for industry-specific applications across our product portfolio. You bring deep customer empathy, technical acumen, and the ability to translate complex AI capabilities into clear, value-driven solutions that resonate with decision-makers across organizations. This role is built for a versatile product marketer who can go deep and pivot quickly from one industry to the next for a major launch, program, or industry moment. If you’re energized by range, learn new markets fast, and want to shape how entire industries adopt AI, this role is for you. Key responsibilities Develop and execute solutions marketing strategy across a number of different priority industries and customer segments Craft differentiated positioning and messaging for industries and their sub-sectors across solutions pages, campaign materials, and content Lead go-to-market for industry product and solution launches, including sector-specific product offerings and relevant MCP integrations and skills Partner with field marketing and sales leaders to build industry points of view, use cases, and programs around major launches and flagship industry events Build persona-based solutions that speak to specific types of users across industries, such as finance, legal, customer support, and operations teams Adapt industry and persona narratives for different customer segments, including Enterprise, Commercial, SMB, and Startups Partner with the alliances team on joint go-to-market with industry partners, including shared positioning, launch coordination, and integrated campaign moments Work with communications, social, and content teams on executive thought leadership, customer stories, and speaking opportunities relevant to each industry Enable sales teams with compelling materials, outbound campaigns, and pipeline-driving initiatives for priority industry accounts Report on which channels and campaigns are driving results and identify opportunities for iteration Minimum qualifications Direct experience marketing software products across multiple industries or customer segments in tandem, and know how to find what’s distinct in each and what can scale across them Familiar with developing solutions that span both technical and business buyers, working closely with enterprise architecture teams or transformation offices Track record of building solutions that significantly expand deal sizes and accelerate sales cycles Quick learner who can absorb context on new industries, buyer dynamics, and regulatory considerations rapidly, and speak credibly with the customers and partners in them Strategic and tactical operator, comfortable setting an industry strategy with senior leaders and rolling up your sleeves to ship Strong written and verbal communication skills, with an ability to translate complex AI capabilities into clear, compelling narratives for technical and business audiences Thrive in a 0-to-1 environment, can shift priorities quickly, and can build processes where none exist Excel at cross-functional collaboration and are comfortable being the connective tissue between product, sales, partnerships, communications, and marketing teams Passionate about AI’s potential to transform how industries work while maintaining focus on responsible, safe deployment Preferred qualifications 8+ years of B2B product marketing or solutions marketing experience working inside of software companies Demonstrated success in creating vertical-specific solutions for operationally intensive or regulated industries Possess certifications or deep knowledge in cloud platforms, enterprise architecture - experience with usage-based or consumption pricing models strongly preferred Experience marketing AI/ML products or emerging technology to enterprise buyers Track record of building marketing programs from scratch at a growth-stage company Role-specific policy: For this role, we expect all staff to be able to work from our San Francisco or New York office at least 2 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time for relocation. Deadline to apply: None. Applications will be reviewed on a rolling basis. 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 — $320,000 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: England; Portugal; Spain; Italy; Germany Workplace: Remote ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE Docker Forward Deployed Engineers (FDE) embed directly with our most strategic customers to solve important, complex technical problems and turn ambitious ideas into production outcomes. FDEs take on the most challenging technical challenges using existing Docker products and patterns when possible, and work across customer, Docker Product and Engineering teams to realize new approaches when required.   As a Docker FDE, you will work side-by-side with customer engineering teams to deeply understand their goals, problems, constraints, and technical landscape; identify the highest-leverage opportunities; and design, build, and ship solutions with them. You own the technical journey from discovery and architecture through prototyping, implementation and production rollout.   The solutions you build may use existing Docker products, extend Docker into new environments, integrate deeply with customer and third-party systems, or reveal capabilities that Docker should build next. You work closely with Docker Solutions Architects to evolve existing patterns, and Docker Product and Engineering to turn new learnings into reusable patterns and product capabilities. _______________________________________________________________________   RESPONSIBILITIES Build in Production with Customers - Embed with customer engineering teams to design, build, and ship solutions from first prototype through stable production rollout. Use existing Docker products and patterns when possible, invent, prototype and validate innovative solutions when necessary. - Deliver working technical artifacts to customers: custom MCP servers with tightly integrated Docker Sandbox environments for coding agents and containerized agents; Docker Compose definitions for multi-agent harnesses and model-backed applications; Hardened Image standardization and migration; New tools that unblock customer progress. - Integrate Docker's AI platform with the customer's existing stack, including identity providers (OIDC/SAML/SSO), secrets management, private and air-gapped registries, Kubernetes, CI/CD pipelines, and observability tooling. - Own technical delivery on your engagements: scope the work, sequence it, make trade-offs between speed and quality, remove blockers early, and contribute directly to code whenever progress depends on it. Make AI Adoption Safe and Governable - Translate customer security, compliance, and platform requirements into concrete plans and see those plans through from ideation to production. - Help customers define controls to enable them to adopt agentic AI to solve their unique business problems without compromising security, compliance, data sovereignty or end-user experience. - Establish quality and performance standards for customers and work closely with Docker Product and Engineering to quickly address issues that fall outside of established thresholds - Partner with customer security and platform teams to get agentic workloads through architecture review, threat modeling, and change control. Partner with Solutions Architecture and the Field - Work closely with Solutions Architects to enable off-the-self solutions when possible and provide technical experience and leadership when a bespoke solution is necessary. - Feed implementation learnings back into reference architectures, SOW templates, and success patterns so that FDE innovations become standard features and implementation patterns. - Support the field with technical depth during proofs of concept, escalations, and expansion conversations when a working build is the fastest path to a customer adoption. Close the Loop with Product and Engineering - As part of Docker Engineering FDEs work closely with Product and Engineering teams to fold FDE innovations, learnings, and design patterns into existing or new products and services. - Work with Customers, Product and Engineering to establish quality and performance thresholds, ensuring customer environments meet them consistently, and responding quickly and decisively when they don’t. - Be the voice of the customer. Deliver data-driven and actionable feedback to Product and Engineering: what works well; what does not; what customers are asking for; and what blocks their adoption and forward progress. FDE experience directly influences the roadmap. Shape the Practice - Define the FDE engagement model, delivery standards, and quality bar, and codify them so that engagements are consistent across customers, regions, and delivery partners. - Mentor and lead other Forward Deployed Engineers, and participate in hiring loops to grow the team. - Act as the senior technical escalation point on the hardest problems impacting your customers. Every incident is an opportunity to improve Docker products and services. - Maintain deep, current knowledge of the agentic AI stack: LLMs, APIs, MCP, coding agents, model and harness evaluation approaches, performance and quality thresholds, deployment patterns. - This role may require participation in an on-call rotation to provide support outside of standard business hours, including evenings, weekends, and holidays, as needed. _______________________________________________________________________   QUALIFICATIONS Required - 10+ years of software engineering experience, including 4+ years in a customer-facing technical role such as Forward Deployed Engineer, Solutions Engineer, Professional Services Engineer, or Software Engineer with consulting or technical founder experience. - Technical leadership across multiple engagements, teams, or domains, with a proven ability to set delivery standards, define repeatable patterns, and influence product direction through field evidence. - Expert production coding skills in Go, Python, or TypeScript, with a track record of shipping and operating software that other people depend on and of leading technical design reviews. - Deep, hands-on Docker expertise: Dockerfiles and multi-stage builds, Docker Compose, image and registry operations, container networking and storage, and container security fundamentals. - Hands-on experience building with LLMs and agents in production, including tool use and function calling, the Model Context Protocol (MCP server and client implementation), prompt and context engineering, and evaluation of agent behavior. - Working knowledge of software supply chain security: SBOMs, image signing and attestation, vulnerability management, minimal and hardened base images, and secure CI/CD. - Experience integrating with enterprise systems: identity providers (Okta, Entra ID, LDAP/Active Directory), federated identity protocols (OIDC, SAML), secrets managers, Kubernetes, and at least one major cloud platform (AWS, Azure, GCP). - Ability to scope and deliver complex work in ambiguous, fast-moving customer environments, making sound trade-offs between scope, speed, and quality. - Excellent communication skills with engineers, security and platform teams, and executive stakeholders, with a low-ego, collaborative approach and the ability to lead through influence rather than authority. - Proven track record of technical mentorship and of raising the bar for the engineers around you. - High agency and comfort operating autonomously in distributed, remote-first teams. - Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience. - Travel to customer sites to build in person with customer teams, estimated at up to 50%. Bonus - Experience with Docker Hardened Images, Docker Scout, MCP Gateway, MCP Toolkit, Docker Sandboxes, or Docker Model Runner. - Experience deploying and operating coding agents (Claude Code, Codex, Gemini CLI, Cursor, or similar) in team or enterprise settings. - Experience with air-gapped, regulated, or compliance-driven environments in financial services, healthcare, government, or similar sectors. - Contributions to open source projects in the container, Kubernetes, or MCP ecosystems. - Prior experience founding or scaling a Forward Deployed Engineering or Professional Services practice. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________ COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Europe: €121K – €198K base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Remote-US Workplace: Remote Phantom https://phantom.com is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets them control their financial moves in the same app they use to safely store or spend money worldwide. Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. Check out our Forbes Fintech 50 https://www.forbes.com/sites/ninabambysheva/2026/02/23/inside-phantoms-battle-plan-to-win-the-crypto-fueled-superapp-war/ and CNBC and Statista's World's Top Fintech Companies 2026 https://www.cnbc.com/worlds-top-fintech-companies-2026/! We are around 180 people, fully remote, backed by a $150M Series C investment from a16z, Sequoia Capital and Paradigm. ABOUT THE ROLE At Phantom, we're looking for an AI Engineer to help shape how AI is adopted and scaled across the company. You'll play a key role in building the internal AI tools, integrations, and automation that enable teams to work smarter, move faster, and operate more efficiently. This is a hands on engineering role focused on turning emerging AI capabilities into practical, reliable solutions that drive meaningful business impact. You'll partner closely with teams across the organization to identify opportunities, build AI powered workflows, and establish the technical foundations that make AI accessible, secure, and scalable. We're looking for someone who enjoys building, experimenting, and shipping, with a strong understanding of modern LLM technologies and the engineering fundamentals required to bring AI solutions into production. RESPONSIBILITIES - Build AI Solutions: Design, develop, and deploy AI powered tools, agents, and automation that streamline workflows and solve real business problems across the organization. - Develop AI Integrations: Connect LLMs and AI applications with internal systems, APIs, and enterprise tools to enable seamless, intelligent workflows. - Own AI Infrastructure: Build and maintain the underlying infrastructure, services, and integrations that support reliable AI applications across teams. - Enable AI Adoption: Partner with stakeholders to identify opportunities for AI, translate business needs into technical solutions, and empower teams to leverage AI tools effectively. - Build for Scale: Develop reusable components, frameworks, and tooling that make it easier for teams to build, customize, and maintain their own AI workflows. - Ensure Security & Reliability: Implement appropriate access controls, monitoring, observability, and operational safeguards to ensure AI solutions are secure, reliable, and maintainable. - Optimize AI Usage: Monitor model performance, usage, and costs while identifying opportunities to improve efficiency, quality, and business outcomes. - Drive Innovation: Stay current with emerging AI technologies, evaluate new models and frameworks, and identify practical opportunities to bring new capabilities into the organization. QUALIFICATIONS - Strong software engineering background with experience building and maintaining production applications, services, or internal platforms. - Hands on experience developing applications using LLMs such as OpenAI, Anthropic Claude, or open source models. - Proficiency in Python, TypeScript, or similar programming languages, with experience integrating APIs and building backend services. - Experience building AI agents, workflow automation, or applications that leverage LLM orchestration frameworks. - Familiarity with retrieval augmented generation (RAG), tool calling, structured outputs, prompt engineering, and modern AI application patterns. - Experience integrating applications with enterprise tools, internal systems, and third party APIs. - Understanding of cloud infrastructure, deployment practices, monitoring, and production reliability. - Strong product mindset with the ability to translate ambiguous business problems into practical technical solutions. - Ability to work independently, take ownership of projects, and collaborate effectively with both technical and nontechnical stakeholders. - A genuine interest in AI and a bias toward experimentation, execution, and measurable impact. NICE TO HAVE - Experience building internal AI platforms or enterprise AI automation solutions. - Familiarity with AI coding tools, agent frameworks, and orchestration platforms. - Experience with technologies such as LangChain, LangGraph, Claude Agent SDK, or similar frameworks. - Experience with MCP, enterprise connectors, and AI tool integrations. - Familiarity with LLM observability, evaluation frameworks, cost optimization, and usage analytics. - Experience implementing security, governance, and access controls for enterprise AI applications. - Experience working in a fast growing technology company where speed, ownership, and adaptability are essential. You'll help make AI a practical and valuable part of how Phantom operates. Success means delivering solutions that teams actively use, reducing manual work, accelerating execution, and creating a scalable foundation for continued AI adoption. You'll have the opportunity to own projects from concept through production, influence our internal AI strategy, and help define how we leverage AI across the organization. Why Work With Us Phantom's journey to becoming a global trading app began with making crypto easier to use. Today, we’re building on that foundation to help people discover the markets that matter, make informed financial moves, and safely store or spend their money worldwide. Joining Phantom means helping shape that next chapter: building products that bring the freedom of open markets to more people.   - Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world. - Make complexity feel simple: Solve meaningful challenges across design, engineering, and user experience to make discovering markets and managing money seamless. - Put users in control: Help build a future where people have greater freedom over their assets and financial decisions, with security and self-custody at the foundation. Benefits (only available to full-time employees) - Competitive salary and equity - Comprehensive insurance (medical/dental/vision): base plan 100% covered - Flexible hours and a long-standing, supportive remote environment - Unlimited vacation: Take time when you need it (and we really mean it!) - 401(k) retirement plan - Wellness stipend - Weekly meal stipend - Learning & Development stipend - Remote / WFH set-up stipend We strongly encourage candidates of all backgrounds to apply. We believe that our work is stronger with a variety of perspectives, and we’re eager to further diversify our company. If you have a background that you feel would make an impact at Phantom, please consider applying. We’re committed to building an inclusive, supportive place for you to do the best work of your career. By submitting your resume and application materials, you acknowledge and agree that Phantom Technologies, Inc. ("Phantom") collects and processes your personal information (including application materials, interview records, and related data) to evaluate your candidacy. Phantom may use AI-powered tools and third-party service providers for transcription, note-taking, scheduling, and other administrative tasks. Phantom does not sell your information and your materials will be handled securely and in accordance with applicable data protection laws.

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

Location: Mexico Workplace: remote About Welo Global  Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com  About the Role We're hiring a technically strong Senior Data Analyst to help modernize how our FP&A organization uses data, analytics, and automation. This is an embedded Finance role: you'll report directly to the FP&A Director and work side by side with her day to day while partnering closely with our central Data Analytics and Data Engineering teams on infrastructure, standards, and complex technical problems. It's a hands-on execution role for someone who builds. Financial and operational data at Welocalize lives across multiple systems - Workday Financials, Adaptive Planning, Salesforce, a Redshift data warehouse, Power BI, and years of Excel workbooks carrying critical processes. Much of it doesn't connect cleanly, and a lot of institutional knowledge lives in undocumented spreadsheets, manual processes, and Power Queries rather than any system of record. You might start with a complex, years-old Excel workbook and a simple prompt: “This is how we do this today.” Your job isn't to automate the workbook as-is - it's to understand its purpose, trace its logic to source, figure out what users actually need, and design something better: a rebuilt pipeline, a SQL/Python replacement, a driver-based view, an exception-monitoring workflow, or an AI-assisted tool. We're just starting to build out an FP&A AI repository - documentation, business logic, and workflows meant to let AI reliably execute FP&A processes, not just answer one-off questions - and you'll partner with us to determine its direction. This role is a deliberate combination of three things: 1. Fluency with data itself - the ability to query, shape, and manipulate data directly. 2. An engineering mindset - building automated, repeatable systems (workflows and dashboards that run and refresh on their own, integrations across tools) rather than one-off analysis, and knowing how to scope and coordinate real pipeline or data mart work with Data Engineering. 3. An investigative instinct - the ability to look at data and figure out what it's telling us, not just execute a report exactly as specified. What You'll Do Partner directly with FP&A leadership to understand existing reporting, analytical, and planning processes and identify where they should fundamentally change, not just get faster. • Reverse-engineer complex Excel workbooks and manual processes to understand their data sources, business logic, calculations, and the questions their users are actually trying to answer. • Design and build automated solutions using SQL, Python, ETL/data transformation, APIs, and modern AI tools. • Work through large, imperfect, multi-system datasets - resolving data quality, mapping, reconciliation, and grain issues along the way. • Perform exploratory analysis to identify trends, anomalies, relationships, and underlying business drivers, rather than simply reporting what happened. • Design dashboards and reporting experiences around the decisions people actually need to make, not a recreation of an existing spreadsheet in a new tool. • Build AI-assisted, interactive HTML reporting tools - developed with the help of AI coding tools and engineered to refresh efficiently on their own, without repeated AI calls. • Develop driver-based analysis, exception reporting, and monitoring approaches that surface important changes proactively. • Explore and build AI-assisted and agentic workflows - including ways for LLMs to interact with data, tools, APIs, and reporting processes. • Partner with the central Data Analytics and Data Engineering teams on shared data infrastructure and standards - including scoping and coordinating data pipeline and data mart requests. • Contribute in a leadership capacity within the analytics function even without formal management responsibility - shaping how problems get approached, mentoring by example, and helping set the bar for analytical rigor. • Translate complex analytical findings into clear, actionable insight for Finance leaders and other business stakeholders. • Partner in building out our FP&A AI repository - the documentation, conventions, and workflows meant to let an AI assistant execute FP&A processes reliably - and help shape its direction as we go. How You Think Technical skills matter, but how you approach problems matters just as much. We're looking for someone who: • Is genuinely curious and naturally asks “why?” when something doesn't reconcile or doesn't make sense. • Enjoys digging into messy or unfamiliar data and figuring out how things connect. • Doesn't assume an existing process or report is right simply because that's how it's always been done. • Can take an ambiguous problem and independently structure an approach to solving it, while knowing when to pull others in rather than spinning wheels alone. • Looks beyond the initial request to identify opportunities, risks, and better approaches the requester may not have thought to ask for. • Enjoys collaborative problem-solving - bouncing ideas around, testing hypotheses, and challenging assumptions to get to a stronger answer. • Takes ownership of the areas they work in - the business purpose, the data, the known issues, and the opportunities for improvement - rather than treating each request as a one-off ticket. • Likes building things, experimenting, and continuously improving how work gets done. Required Skills and Experience 5-10 years of relevant experience required. You should be genuinely, hands-on strong across: • SQL - comfortable joining tables, tracing grain, finding duplicates, and validating results in unfamiliar schemas. • Python - practical proficiency for data transformation, analysis, and automation. • ETL/ELT fluency - strong enough understanding of pipeline design to define data requirements, validate output, and partner effectively with Data Engineering on pipeline and data mart requests. Hands-on pipeline-building experience is a plus. • Report and dashboard building - able to design and build a reporting/analytical experience end-to-end, whether on a modern BI platform (Power BI, Tableau, Looker, or similar) or as a standalone interactive HTML/web-based report. Standalone HTML/web-based reports are increasingly our primary format. • Automation - demonstrated experience automating manual, recurring data or reporting workflows. • Comfort learning and adopting new AI-assisted tools and workflows - you should be genuinely curious about this space and ready to build fluency quickly on the job. • Advanced Excel, including the ability to deconstruct sophisticated, undocumented legacy workbooks. • Demonstrated ability to explore data and figure out why something happened - forming and testing your own hypotheses, not just reporting what happened. • Fluent English, spoken and written. This is a fully remote role and you'll communicate directly, in English, with business stakeholders and executive leadership as well as data analysts and engineers across our global organization, where English is the shared working language. Preferred Experience Bachelor's degree in Computer Science, Information Systems, Data Science, or a related quantitative/technical field strongly preferred; equivalent experience acceptable. Master's degree is a plus. • Experience supporting Finance, FP&A, Strategy, Operations, or another analytically intensive business function. • Familiarity with financial concepts such as revenue, margin, profitability, forecasting, and variance analysis. • Experience modernizing legacy Excel-based reporting or analytical processes. • Experience working in an environment where data is distributed across multiple systems and isn't always perfectly documented. • Experience working effectively in a fully remote, distributed team environment. • Exposure to AI/agentic tooling, or experience helping design how AI gets applied to a business process (e.g., LLM workflows, tool/function calling, RAG, MCP, building AI-assisted reporting or automation). • Machine learning, statistical modeling, or formal data science experience is welcome but not required.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! Figma employees are among the most AI-active in the industry, and our Internal AI team, part of FTS (our Business Technology org), helps turn that energy into meaningful impact by making it easier for every Figmate, from Sales and Support to Finance, People, and Legal, to safely adopt AI and use it to improve how they work. We’re a small, high-leverage team organized around three pillars: Platform & Tooling, Infrastructure & Hosting, and Applied AI Builds, and this role is a key member of the Applied AI Builds pillar. As an AI Engineer, Internal Tools, you’ll work directly with teams across Figma to identify high-value AI opportunities and take them to production, moving from understanding a business workflow, to rapidly prototyping an approach, to evaluating it and integrating it with the systems and data needed to make it useful in the real world. This isn’t a role focused only on building AI demos: you’ll own solutions through production, help determine where AI adds value and where traditional rules-based software is the right choice, and shape how agents can safely take actions across enterprise systems. As common patterns emerge, you’ll partner with our Platform & Tooling and Infrastructure teams to build reusable capabilities that make future AI builds faster and safer. This is a full time role that can be held from one of our US hubs or remotely in the United States. What you’ll do at Figma: Partner directly with teams across GTM, Finance, People, Legal, Support, and other business functions to understand workflows and identify high-value opportunities for AI Design, build, and productionize AI agents, assistants, and workflow automations that solve real business problems using LLMs, tool calling, RAG, structured outputs, agent frameworks, MCP, APIs, and enterprise data Integrate AI applications with enterprise systems and data sources across GTM, Finance, People, Support, and internal APIs Build evaluations and feedback loops to measure accuracy, reliability, and business impact before and after AI solutions reach production Design deterministic guardrails, human-in-the-loop controls, and approval patterns for workflows where AI systems take business-critical actions Build production-ready systems with strong observability, failure handling, security, authentication, authorization, and auditability Identify reusable patterns across individual AI projects and build them out as shared components and capabilities in partnership with our Internal AI platform teams Help define how Figma approaches Applied AI engineering and scales AI adoption across the company We’d love to hear from you if you have: 5+ years of software engineering experience building production applications, integrations, backend systems, or AI-powered products Hands-on experience building applications with LLMs, agents, retrieval-augmented generation, function calling, schema-constrained outputs, or evaluation frameworks Experience taking an AI application or workflow beyond a prototype and operating it in a production environment Strong API, integration, and system design fundamentals, with experience connecting applications across multiple systems and data sources and strong engineering judgment about when to apply AI and when a rules-based approach is the right choice, and experience designing reliable production systems with appropriate observability, failure handling, authentication, authorization, and security controls Experience working directly with non-engineering stakeholders to understand ambiguous business problems and translate them into technical solutions and ability to move quickly from discovery to prototype while understanding what is required to safely and reliably productionize a solution While it’s not required, it’s an added plus if you also have: A background building internal AI applications or working in an Applied AI, Forward Deployed Engineering, or AI Solutions Engineering role Experience with MCP, agent orchestration frameworks, and enterprise tool-calling patterns Knowledge of AWS Bedrock, AgentCore, OpenAI, Anthropic, or similar AI platforms Experience integrating enterprise systems such as Salesforce, Zendesk, Workday, NetSuite, Greenhouse, or Slack Knowledge of with AI evaluations, observability, prompt/version management, and human-in-the-loop systems Experience implementing enterprise identity and access patterns such as Okta, SSO, OAuth, and secure service-to-service authentication, within Security, Privacy, SOX/ITGC, or other enterprise governance requirements At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $153,000 — $296,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

• Проектировать современные приложения и AI-решения для финансовых организаций; • Проводить архитектурные сессии и формировать технологические дорожные карты;

Задачи: - Разработка моделей данных и отчетных решений в Power BI и Apache Superset с учетом бизнес-задач; - Создание и оптимизация сложных SQL-запросов, реализация dbt-моделей для трансформации данных;

Location: Москва Мы ищем корпоративного архитектора в команду Департамента корпоративной архитектуры на проект создания корпоративного ИИ-помощника (B2E ассистент сотрудника) на базе взаимодействующих автономных агентов в целях повышения эффективности работы с внутренними сервисами для сотрудников. Первый этап отбора на эту вакансию - общение с AI-рекрутером. После отклика вам на почту и в чат на платформе HeadHunter придет приглашение пройти первичное интервью с ГигаРекрутером в Telegram или Макс. Диалог займёт примерно 10 минут. Его задача - уточнить недостающие детали и ускорить рассмотрение вашей кандидатуры. ГигаРекрутер только начинает свой путь, поэтому просим относиться с пониманием. Ваш опыт и участие помогут сделать его удобным и полезным. Обязанности * проектирование концептуальной архитектуры функциональных областей по требованиям заказчика, кибербезопасности, инфраструктуры, надежности, архитектурных стандартов и других, определение целевых систем и поверхностей * определение архитектуры интеграции рыночных решений в архитектурный ландшафт Банка и между собой, выделение API * определение архитектуры мультиагентных решений для реализации AI-native инициатив * выполнение архитектурного сопровождения реализации задач: контроль отклонений от стандартов и архитектуры * анализ дублирования функционала, формирование стратегии развития решений * подготовка материалов и защита архитектуры решения на Архитектурном совете Банка и других, обеспечение полноты ведения архитектурного репозитория * проведение оценки и актуализация классов критичности внедренных АС/ФП, классов АС /ФП согласно критериев МинЦифры * регулярное исследование новых внутренних/рыночных технологических AI-решений и анализ возможностей их применения в целях стратегического развития решения * проведение исследований инноваций, предложение улучшений продукта и внутренних сервисов технологического решения, в рамках процедур закупки ПО подготовка архитектурных требований и анализ рыночных решений (заполненный чек-лист архитектурной оценки вендорских решений). Требования * практический опыт проектирования, разработки и внедрения комплексных мультиагентных решений в роли архитектора, ИТ-лидера, аналитика (как минимум одно успешно внедренное мультиагентное решение) * опыт проектирования распределенных решений в микросервисной архитектуре от 5 лет * экспертные знания современных алгоритмов машинного обучения, практик MLOps для мультиагентных решений, принципов работы LLM, A2A, MCP, RAG, guardrails, human-in-the-loop * понимание основных продуктов и бизнес-процессов в области внутренней деятельности предприятия: HR, ERP, ITSM, SRM и тд. * понимание процессов разработки и реализации сложных программных продуктов в крупных организациях * опыт управления изменениями в частности контроля внедрения изменений в сложных корпоративных информационных системах * навыки управления программами и проектами, опыт руководства проектными командами Будет плюсом: * навыки ведения переговоров, убеждении и продвижения идей * хорошие презентационные навыки, умение доносить и отстаивать свою позицию * аналитический склад ума, концептуальное и критическое мышление * высокая стрессоустойчивость, автономность и инициативность. Условия * место работы: м. Кутузовская; смешанный формат офис/удалено * график работы с 9:00 до 18:00 * оформление согласно ТК РФ. * социальный пакет: ДМС, спортзал, возможность обучения за счет компании, льготные условия кредитования * подписка Прайм с возможностью совместного использования на трёх близких.

Location: Serbia - Remote; Spain - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM This role is ideal for someone who loves AI, thinks in systems, and enjoys building practical solutions that drive measurable impact. You’ll be one of our first AI Strategists, building custom AI solutions from scratch for Smartcat’s largest strategic customers. You’ll work in a pod with a dedicated Strategic Account Executive and Technical Account Manager, and sometimes a Forward Deployed Engineer. You don’t need to be a software engineer, but you do need real fluency with modern AI tools, fast experimentation, and a builder’s instinct. You’ll engage senior executives to define where AI creates value, then build the agents and workflows that deliver it, and bring customer insights back to Product. MISSION Design and build custom AI workflows and agents from scratch for Smartcat’s strategic customers, translating each customer’s ambiguous business problems into working, scalable, measurable AI solutions that drive adoption and expand the relationship. OUTCOMES Partner with business leaders and technical teams at strategic customers to scope high-value AI use cases and align on success metrics, from the sales cycle through delivery Identify where AI workflows can deliver ROI, efficiency, and competitive advantage, and build the business case with the account team Design, build, and deploy new custom AI solutions and agents for customers, going beyond reconfiguring existing workflows Work with structured and unstructured customer data, including vector databases, MCP, and RAG, and build agents that combine semantic and keyword search across customer knowledge bases and content Own customer engagements end to end, from ideation through delivery, ensuring long-term adoption and measurable business outcomes Work as part of a customer pod with the Strategic Account Executive, Technical Account Manager, and Forward Deployed Engineer Train and empower customer teams to use and iterate on the AI workflows you build, and drive onboarding and change management so solutions become part of their day-to-day operations Act as the voice of the customer, surfacing needs, patterns, and insights that inform Smartcat’s product roadmap Contribute playbooks, reusable solution patterns, and case studies, and help drive AI-first thinking across the team HOW YOU’LL RAMP By Day 30: Learn Smartcat’s platform, AI agent capabilities, and the types of AI workflows customers already run Meet your pod partners (Strategic Account Executives, Technical Account Managers, Forward Deployed Engineers) and understand how each role contributes Get oriented on your assigned strategic accounts: business goals, key stakeholders, current workflows, and open opportunities Get set up with the team’s AI tooling and development environment By Day 60: Join customer conversations with the account team to scope AI use cases and define success metrics Build and test a first custom AI solution or agent for a live customer opportunity Document the use case, approach, and expected business impact By Day 90: Own a customer engagement from scoping through delivery, with a working solution in the customer’s hands Run enablement or training for the customer’s team and support their adoption Bring customer feedback and reusable patterns back to Product and the wider team WHAT YOU’VE ACCOMPLISHED Experience in a customer-facing AI, solutions, consulting, or technical role, ideally in B2B SaaS or enterprise environments A track record of building AI-powered workflows, agents, or automations that solved real business problems, not just integrations An AI-first way of working: real hands-on experience with AI coding tools such as Claude, Cursor, Cline, or similar (“vibe coding”), used as the default way you build, test, and solve problems Hands-on experience building with Python, along with AI coding tools such as Claude, Cursor, or Cline; SQL or data analysis is a plus Familiarity with vector databases, MCP, RAG, and agent design Comfort with the command line, basic Linux administration, and cloud infrastructure (AWS/GCP) The ability to translate ambiguous business problems into practical, scalable AI solutions, and to drive projects end to end Comfort engaging both technical stakeholders and senior executives, and translating between the two, with strong communication and collaboration skills A customer-centric mindset, with the ability to connect technical capabilities to business value Experience delivering solutions in complex enterprise organizations while operating comfortably in a fast-moving startup environment A builder mentality: bias for action, comfort with ambiguity, and the ability to create structure where none exists Experience with change management and customer enablement Leading cross-functional initiatives or teams is a nice to have Flexibility to travel for customer engagements Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

Location: Costa Rica - Remote About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM This role is ideal for someone who loves AI, thinks in systems, and enjoys building practical solutions that drive measurable impact. You’ll be one of our first AI Strategists, building custom AI solutions from scratch for Smartcat’s largest strategic customers. You’ll work in a pod with a dedicated Strategic Account Executive and Technical Account Manager, and sometimes a Forward Deployed Engineer. You don’t need to be a software engineer, but you do need real fluency with modern AI tools, fast experimentation, and a builder’s instinct. You’ll engage senior executives to define where AI creates value, then build the agents and workflows that deliver it, and bring customer insights back to Product. MISSION Design and build custom AI workflows and agents from scratch for Smartcat’s strategic customers, translating each customer’s ambiguous business problems into working, scalable, measurable AI solutions that drive adoption and expand the relationship. OUTCOMES Partner with business leaders and technical teams at strategic customers to scope high-value AI use cases and align on success metrics, from the sales cycle through delivery Identify where AI workflows can deliver ROI, efficiency, and competitive advantage, and build the business case with the account team Design, build, and deploy new custom AI solutions and agents for customers, going beyond reconfiguring existing workflows Work with structured and unstructured customer data, including vector databases, MCP, and RAG, and build agents that combine semantic and keyword search across customer knowledge bases and content Own customer engagements end to end, from ideation through delivery, ensuring long-term adoption and measurable business outcomes Work as part of a customer pod with the Strategic Account Executive, Technical Account Manager, and Forward Deployed Engineer Train and empower customer teams to use and iterate on the AI workflows you build, and drive onboarding and change management so solutions become part of their day-to-day operations Act as the voice of the customer, surfacing needs, patterns, and insights that inform Smartcat’s product roadmap Contribute playbooks, reusable solution patterns, and case studies, and help drive AI-first thinking across the team HOW YOU’LL RAMP By Day 30: Learn Smartcat’s platform, AI agent capabilities, and the types of AI workflows customers already run Meet your pod partners (Strategic Account Executives, Technical Account Managers, Forward Deployed Engineers) and understand how each role contributes Get oriented on your assigned strategic accounts: business goals, key stakeholders, current workflows, and open opportunities Get set up with the team’s AI tooling and development environment By Day 60: Join customer conversations with the account team to scope AI use cases and define success metrics Build and test a first custom AI solution or agent for a live customer opportunity Document the use case, approach, and expected business impact By Day 90: Own a customer engagement from scoping through delivery, with a working solution in the customer’s hands Run enablement or training for the customer’s team and support their adoption Bring customer feedback and reusable patterns back to Product and the wider team WHAT YOU’VE ACCOMPLISHED Experience in a customer-facing AI, solutions, consulting, or technical role, ideally in B2B SaaS or enterprise environments A track record of building AI-powered workflows, agents, or automations that solved real business problems, not just integrations An AI-first way of working: real hands-on experience with AI coding tools such as Claude, Cursor, Cline, or similar (“vibe coding”), used as the default way you build, test, and solve problems Hands-on experience building with Python, along with AI coding tools such as Claude, Cursor, or Cline; SQL or data analysis is a plus Familiarity with vector databases, MCP, RAG, and agent design Comfort with the command line, basic Linux administration, and cloud infrastructure (AWS/GCP) The ability to translate ambiguous business problems into practical, scalable AI solutions, and to drive projects end to end Comfort engaging both technical stakeholders and senior executives, and translating between the two, with strong communication and collaboration skills A customer-centric mindset, with the ability to connect technical capabilities to business value Experience delivering solutions in complex enterprise organizations while operating comfortably in a fast-moving startup environment A builder mentality: bias for action, comfort with ambiguity, and the ability to create structure where none exists Experience with change management and customer enablement Leading cross-functional initiatives or teams is a nice to have Flexibility to travel for customer engagements Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain.  Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience.  No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow,  traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code : Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.

▪️ Proven experience in motion design and video production, backed by a strong portfolio. ▪️ Proficiency in After Effects, Illustrator, Figma, Adobe Audition and Cinema 4D.

Задачи : -Примерно половина времени будет посвящена разработке, вторая половина — поддержанию скорости, безопасности и качества всей системы. -Создавать функции целиком: схема данных, API, фоновые задачи, интерфейс и запуск в продакшене.

Location: Москва Наша команда создаёт платформу для подключения внешних AI-агентов и навыков к AI-ассистенту СберБизнес. Это новый продукт, который позволит предпринимателям решать бизнес-задачи (работа с документами, договорами, маркетплейсами, HR-аналитика и тд) через единый чат-интерфейс, не переключаясь между десятками сервисов.  Проект стартует с нуля, и у вас будет возможность повлиять на архитектуру, клиентский путь и бизнес-логику продукта с первых дней. Обязанности * выявление требований, разработка и согласование требований к программному обеспечению * управление требованиями на всём жизненном цикле разработки ПО * подготовка спецификаций и написание технической документации (User Stories, Use Cases, диаграммы последовательности, API-контракты, архитектурные решения) * коммуникация между командами: координация взаимодействия внутри своей команды и со смежными подразделениями для эффективного выполнения поставленных задач * проработка архитектурных решений  * декомпозиция и постановка задач разработчикам * помощь в подготовке тест-кейсов * активное участие в планировании спринтов и продуктовых бэклогов (Agile/Scrum, Kanban). Требования * опыт описания и моделирования бизнес-процессов с использованием нотаций UML (sequence diagram) или BPMN, формулировки системных и функциональных требований * опыт написания технической и пользовательской документации * опыт проектирования реляционных баз данных или уверенное знание принципов проектирования, базовые знания SQL * опыт проектирования интеграционных взаимодействий с нуля: как синхронных (REST, MCP, A2A), так и асинхронных (очереди сообщений — Kafka). Понимание паттернов обмена и механизмов обработки ошибок. * способность быстро разбираться в сложных технических вопросах и обеспечивать передачу необходимой информации другим участникам команды * умение структурировать информацию, описывать сложные вещи простым и понятным языком * умение работать в команде: дружелюбность и открытость к взаимодействию, стремление к развитию * опыт работы с инструментами тестирования: Insomnia, Postman * уверенное владение инструментами для анализа и документирования: системы управления требованиями (Jira, Confluence, YouTrack), инструменты для построения диаграмм **(**[draw.io](http://draw.io/), Miro, Lucidchart, PlantUML). * опыт работы с AI/LLM-продуктами: понимание принципов работы агентов, оркестрации, контекста диалога, маршрутизации запросов. Условия * комфортный современный офис рядом с м. Кутузовская * офисный/гибридный формат работы * ежегодный пересмотр зарплаты, годовая премия * корпоративный спортзал и зоны отдыха * система обучения для профессионального и карьерного развития * расширенный полис ДМС с первого дня работы и страхование для семьи * программа ипотеки для сотрудников * бесплатная подписка СберПрайм+, скидки на продукты компаний-партнеров * вознаграждение за рекомендацию друзей в команду Сбера.

Публичное API: Развивать OpenAI/Anthropic-совместимое API, API медиамоделей и транскрибации. Отвечать за стабильность, идемпотентность и мониторинг.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm's engineering team is building a large-scale, fault-tolerant, and global infrastructure that is shared across multiple financial products, merchants, and vendors. Ensuring that our infrastructure is transparently available to all engineers is critical to the success of the business. We pride ourselves on our culture across engineering of writing blameless postmortems as well as writing detailed tech specs and gathering feedback before large changes to systems. The AI Platform team owns Affirm's paved path for building, running, evaluating, and governing AI systems. Our customers are not only Affirm users, but also every engineer and a growing set of production workloads at Affirm. As a team, we are responsible for building and exposing simple, governed interfaces to models, tools, and agents, with identity, cost attribution, reliability, and security built in. Examples of components we own include the LLM Gateway that fronts every approved model (Claude, ChatGPT, and open-weight models across AWS Bedrock and other providers), the MCP Gateway that mediates and audits tool calls, the Agent Runtime that gives agentic workloads bounded execution, and the evals and observability layer that tells teams whether an AI change is better, cheaper, or safe to ship. We are early: the gateway is in daily use across engineering, the first production agent is live, and the next year takes us from developer productivity to production inference and agents. What You'll Do Plan, execute, and own technical decisions and projects within the AI Platform team, from design through launch and on-call. Design and build the gateway, runtime, and evaluation services that take AI workloads at Affirm from pilot to production, securely scaling across millions of users and their transactions. Make AI spend attributable and governable: build the identity, quota, routing, caching, and failover controls that let teams adopt new models and tools without re-solving the same platform problems. Partner with security, infrastructure, and product engineering teams to set the guardrails for agentic workloads and the on-behalf-of identity model for tool access. Create and monitor metrics for your team's systems, and own the operational health of what you ship: monitoring, alerting, runbooks, and on-call. Set and improve code review and design standards, and advocate for them beyond your team through writing and tech talks. Use AI tools and agentic workflows every day as a multiplier for your own code, design review, and operations, and push the team on what a small AI-native team can deliver. Educate, mentor, and grow engineers in the team, and drive best practices around design, coding, and testing. What We Look For You have 4+ years of experience designing, developing and launching backend systems at scale using languages like Python or Kotlin. You have a track record of developing highly available distributed systems using technologies like AWS, MySQL and Kubernetes. You have practical experience building with LLMs, agents, or AI frameworks in production: inference APIs, LLM gateways (LiteLLM or similar), MCP, tool calling, evals, or agent runtimes. You understand AI usage and the infrastructure needed to support and leverage AI workloads across different disciplines. You have experience defining a technical plan for the delivery of a significant feature or system component with an elegant, simple and extensible design. You write high quality code that is easily understood and used by others. You are proficient at making significant changes in a large code base, and have developed a suite of tools and practices that enable you and your team to do so safely. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. Pay Grade - N Equity Grade - 9 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $ 195,000 - 255,000 USA base pay range (all other U.S. states) per year: $173,000-233,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Remote - Canada What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: Product marketing at Honeycomb is a small team with a wide surface area. We decide how Honeycomb is positioned, what we say at launch, what the sales team brings into a deal, and how an engineer who has never heard of us understands the product in the first two minutes. Because the team is small, the work is broad: in one week you might rewrite a product page, build a competitive one-pager, interview a customer, and run the launch checklist for a new feature. This role is built for someone early in a product marketing career who wants to systematically improve the customer buying journey. As a product and messaging expert, you will partner with go-to-market teams to drive business impact through sales and marketing campaigns. You will get real ownership of real launches, and you will have senior product marketers, a technical field team, and engineers who like explaining their work close at hand. Our audience is engineers and platform teams, so the bar is accuracy first: we would rather be precise and useful than clever. What you’ll do in the role: You will support and execute product marketing across Honeycomb's core products, with a generalist mix of messaging, launches, content, enablement, and competitive work. Expect to start by contributing to pieces of each and to own more of them over your first year. Responsibilities Messaging and positioning: Write and maintain messaging for features and product areas, from the one-sentence version an engineer reads on a web page to the slide a sales engineer uses in a technical conversation. Keep it accurate and grounded in what the product actually does. Launches: Run launch execution for small and mid-sized releases and support the larger ones. Build the plan, write the assets, coordinate Product, Marketing, Sales Engineering, and Customer Success, and report on how the launch performed. Content: Produce the practical material that helps people evaluate and adopt Honeycomb: blog posts, solution briefs, web copy, demo scripts, FAQs, and customer-facing one-pagers. Sales enablement: Equip the field with what they need to run a good conversation, including pitch narratives, objection handling, battlecards, and release updates. Join customer calls, listen to recorded ones, and fix the material that isn't landing. Competitive and market intelligence: Track the observability market and competitor moves. Maintain competitive assets and keep them current and honest, so the field trusts them. Voice of customer and proof points: Talk to customers and prospects, turn what you hear into case studies, quotes, and proof points, and bring the patterns back to Product and Marketing. Measurement: Help define what success looks like for your work, pull the data, and share what you learn, including the things that didn't work. What you’ll bring to the role: 2 to 5 years of experience in product marketing, or in a closely adjacent go-to-market role such as content marketing, sales engineering, technical writing, developer relations, or product management, with at least some of it in B2B SaaS. Strong writing. You can take a dense technical explanation and turn it into something short, accurate, and useful, and you can tell the difference between the two yourself. Curiosity about technical products and the patience to learn how they work. You ask engineers questions until you actually understand the answer, and you are comfortable in a product that assumes a technical user. Passion about the team winning: Sales, marketing, and product teams will depend on you to succeed. Their success is your success, but you’re not simply an order taker: you look for the smart solutions and don’t wait to be asked. The ability to run a project across teams without formal authority: setting a timeline, chasing the open items, and telling people clearly when something has slipped. Comfort with ambiguity and a bias toward shipping. Our priorities move, the team is small, and the best work here comes from people who start rather than wait for a brief. Willingness to use data to decide and to evaluate your own work honestly. Demonstrated experience applying AI tooling in your work. Nice to have Exposure to observability, developer tools, distributed tracing, OpenTelemetry, platform engineering, or reliability and SLO practices. We will teach this, but a head start helps. Experience marketing to engineers as the primary audience. Hands-on familiarity with AI and LLM tooling, including coding agents and MCP-based workflows. Experience with webinars, conference talks, or community programs. Experience working in a fully distributed company. Base Salary based on level of experience $171,000 — $261,000 CAD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.

Location: Remote - United States What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh, Slack, LaunchDarkly, and Vanguard and more across a range of industries. This is an exciting time in our trajectory, we’ve closed Series D funding, scaled past the 200-person mark, and were named to Forbes’ America’s Best Startups of 2022 and 2023! If you want to see what we’ve been up to, please check out these blog posts and Honeycomb.io press releases . Who We Are We come for the impact, and stay for the culture! We’re a talented, opinionated, passionate, fiercely inclusive, and responsible group of bees. We have conviction and we strive to live our values every day. We want our people to do what they truly love amongst a team of highly talented (but humble) peers. How We Work We are a fully distributed company, which means we believe it is not where you sit, but how you deliver that matters most. We invest in our people and care about how you orient to our culture and processes. At the same time we imbue a lot of trust, autonomy, and accountability from Day 1. #LI-Remote Little more about the team: Product marketing at Honeycomb is a small team with a wide surface area. We decide how Honeycomb is positioned, what we say at launch, what the sales team brings into a deal, and how an engineer who has never heard of us understands the product in the first two minutes. Because the team is small, the work is broad: in one week you might rewrite a product page, build a competitive one-pager, interview a customer, and run the launch checklist for a new feature. This role is built for someone early in a product marketing career who wants to systematically improve the customer buying journey. As a product and messaging expert, you will partner with go-to-market teams to drive business impact through sales and marketing campaigns. You will get real ownership of real launches, and you will have senior product marketers, a technical field team, and engineers who like explaining their work close at hand. Our audience is engineers and platform teams, so the bar is accuracy first: we would rather be precise and useful than clever. What you’ll do in the role: You will support and execute product marketing across Honeycomb's core products, with a generalist mix of messaging, launches, content, enablement, and competitive work. Expect to start by contributing to pieces of each and to own more of them over your first year. Responsibilities Messaging and positioning: Write and maintain messaging for features and product areas, from the one-sentence version an engineer reads on a web page to the slide a sales engineer uses in a technical conversation. Keep it accurate and grounded in what the product actually does. Launches: Run launch execution for small and mid-sized releases and support the larger ones. Build the plan, write the assets, coordinate Product, Marketing, Sales Engineering, and Customer Success, and report on how the launch performed. Content: Produce the practical material that helps people evaluate and adopt Honeycomb: blog posts, solution briefs, web copy, demo scripts, FAQs, and customer-facing one-pagers. Sales enablement: Equip the field with what they need to run a good conversation, including pitch narratives, objection handling, battlecards, and release updates. Join customer calls, listen to recorded ones, and fix the material that isn't landing. Competitive and market intelligence: Track the observability market and competitor moves. Maintain competitive assets and keep them current and honest, so the field trusts them. Voice of customer and proof points: Talk to customers and prospects, turn what you hear into case studies, quotes, and proof points, and bring the patterns back to Product and Marketing. Measurement: Help define what success looks like for your work, pull the data, and share what you learn, including the things that didn't work. What you’ll bring to the role: 2 to 5 years of experience in product marketing, or in a closely adjacent go-to-market role such as content marketing, sales engineering, technical writing, developer relations, or product management, with at least some of it in B2B SaaS. Strong writing. You can take a dense technical explanation and turn it into something short, accurate, and useful, and you can tell the difference between the two yourself. Curiosity about technical products and the patience to learn how they work. You ask engineers questions until you actually understand the answer, and you are comfortable in a product that assumes a technical user. Passion about the team winning: Sales, marketing, and product teams will depend on you to succeed. Their success is your success, but you’re not simply an order taker: you look for the smart solutions and don’t wait to be asked. The ability to run a project across teams without formal authority: setting a timeline, chasing the open items, and telling people clearly when something has slipped. Comfort with ambiguity and a bias toward shipping. Our priorities move, the team is small, and the best work here comes from people who start rather than wait for a brief. Willingness to use data to decide and to evaluate your own work honestly. Demonstrated experience applying AI tooling in your work. Nice to have Exposure to observability, developer tools, distributed tracing, OpenTelemetry, platform engineering, or reliability and SLO practices. We will teach this, but a head start helps. Experience marketing to engineers as the primary audience. Hands-on familiarity with AI and LLM tooling, including coding agents and MCP-based workflows. Experience with webinars, conference talks, or community programs. Experience working in a fully distributed company. Base Salary based on level of experience $125,000 — $190,000 USD What you'll get when you join the Hive: A stake in our success - generous equity with employee-friendly stock program It’s not about how strong of a negotiator you are - our pay is based on transparent levels relative to experience Time to recharge with unlimited PTO A distributed-first mindset and culture (really!) Home office, co-working, and internet stipend Full benefits coverage for employees, with additional coverage available for dependents Up to 16 weeks of paid parental leave, regardless of path to parenthood Annual development allowance And much more... Please note we cannot currently sponsor or support visa transfers at this time. Additionally, in compliance with applicable law, all persons hired will be required to verify identity and eligibility to work. Phishing and Recruitment Scam Warning: We take your security seriously. Please be aware that recruitment scams are increasingly common and scammers may create email addresses or websites to impersonate Honeycomb employees. To help protect you: All communications will come from an @honeycomb.io email address We occasionally work with external recruiting agencies. These partners will use legitimate business email addresses— never personal accounts like Gmail or Yahoo . Our recruiting process will never ask you to provide financial or sensitive personal information, including but not limited to: Social security or tax identification numbers Credit card numbers Bank account information Diversity & Accommodations: We're committed to building a diverse, inclusive, and equitable workplace—where people of all backgrounds, identities, experiences, and abilities are welcomed, valued, and supported. We recognize that there is no single path to success and embrace nontraditional career journeys and diverse perspectives as key to building stronger, more innovative teams. We strive to ensure an inclusive experience throughout every stage of our hiring process and are happy to provide reasonable accommodations as needed. If you require accommodations or accessible formats at any point during our hiring process, please let your recruiter know. As an equal opportunity employer our hiring process is designed to put you at ease and help you show your best work. If there’s anything we can do to improve your experience, we’re always open to feedback. Privacy Notice: If you apply for a job at Honeycomb and your application is unsuccessful (or you withdraw from the process or decline our offer), Honeycomb will retain your information after your application for a period of time in accordance with local laws. We retain this information for various reasons, including in case we face a legal challenge in respect of a recruitment decision, to consider you for other current or future jobs at Honeycomb, and to help us better understand, analyze and improve our recruitment processes. For more information regarding our privacy practices please see the Honeycomb Privacy Notice . If you do not want us to retain your information, or want us to update it, please contact privacy@honeycomb.io . Please note, however, that we may retain some information if required by law or as necessary to protect ourselves from legal claims.