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Location: Redwood City, CA, United States, San Francisco, CA, United States WHAT IS BOX? Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia. By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift. WHAT MAKES US DIFFERENT We operate with a founder-like mindset: we move fast, take ownership, and hold ourselves to a high bar. We are genuinely customer-obsessed, and we bring that same curiosity and care to how we work with each other. If you want to work somewhere that challenges you, trusts you, and gives you the opportunity to do work that actually moves the needle, Box is that place. WHY BOX NEEDS YOU Every enterprise is sitting on a goldmine they can't access. Millions of documents, contracts, presentations, images, and emails, the institutional knowledge that defines how a company operates, are locked in legacy systems, invisible to the AI models and agents that could transform how work gets done. Box is the platform that changes that.Box has seen a major evolution since pioneering cloud storage solutions. Today, we are building the secure, intelligent content layer that connects enterprise knowledge to AI powering any model, any agent, and any workflow, while maintaining the governance, compliance, and control that the world's largest organizations demand. AI is only as powerful as the information it can securely access, and that is exactly what Box provides.The enterprises that win the AI era will be the ones that can securely connect their models to the right knowledge, at the right time, with the right controls. Box is that foundation, and we've been building toward this moment for over 20 years. We are seeking high-caliber sales professionals to drive new customer acquisition and expand relationships across our largest enterprise accounts As an Enterprise Account Executive, you’ll be bringing in new logos as well as growing and expanding existing customers within our largest accounts. You won't be selling a point solution, you'll be helping all lines of business rethink the role of their most valuable asset, their content. By joining the Box Public Sector Sales team, you will have an opportunity to focus on Box's Justice & Public Safety vertical working alongside our sales leaders. WHAT YOU'LL DO Source and close net-new logos within the State Justice Public Safety segment across your assigned Western territory. Own a portfolio of strategic enterprise accounts (2k-10k employees) and lead complex, multi-stakeholder sales cycles that drive measurable business transformation, not just transactions. Exercise judgment in selecting methodologies, techniques and evaluation criteria throughout the sales process Partner with CIOs, CTOs, CISOs, and senior business leaders to identify where Box can unlock real, measurable value and change how an organization operates. Research and understand your customers and prospects to gain insight into their business challenges and Box value proposition Collaborate with internal teams across Solutions Engineering, Customer Success, Product, Marketing, Partners, and Executive Leadership to deliver outcomes that customers remember. Build, qualify, and advance pipeline by proactively creating urgency and driving opportunities forward through outbound prospecting and a hunter mindset. Serve as the voice of the customer by bringing market intelligence and customer feedback back to Product and GTM teams to shape how Box evolves. WHO YOU ARE We are an AI-first company. This means you approach your work with a growth mindset and find ways to leverage AI to help make faster, smarter decisions that will 10X your impact at Box. 5+ years of enterprise field sales experience with a consistent track record of exceeding goals in complex, multi-stakeholder environments selling SaaS, cloud, data, cybersecurity, or AI solutions. Preferred Public sector knowledge; experience selling into state and local government Preferred experience selling to State Justice or Public Safety Accounts Energized by C-suite engagement and know how to earn and maintain trust at the executive level across IT, security, legal, finance, and business leadership. Proven ability to translate complex platform capabilities into clear business value, communicating emerging technology effectively to diverse audiences, from technical practitioners to senior leadership. Proactive pipeline builder who identifies and develops opportunities through strategic prospecting, creative sourcing, and disciplined follow-through. Display curiosity about AI, eager to learn, and passionate about helping organizations navigate major technological advancements. Thrive in a culture of respectful candor: you communicate openly, welcome feedback, and believe that transparent, constructive dialogue strengthens team collaboration and decision-making. Box lives its values, with community and in-person collaboration being a core part of our culture. Boxers are expected to work from their assigned office a minimum of 3 days per week. This is a field sales role with travel requirements up to 50%. Your Recruiter will share more about how we work and company culture during the hiring process. At Box, we believe unique and diverse experiences benefit our culture, our products, our customers, our company, and our world. We aim to recruit a passionate, high-performing workforce that reflects the world we live in. If you are head-over-heels about this role but unsure if you meet all the requirements, we encourage you to apply! EQUAL OPPORTUNITY We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation. Box strives to respect the dignity and ‎‎independence of people with disabilities and is committed to giving them the same ‎‎opportunity to succeed as all other employees. Inclusiveness is core to our culture at Box, and we strive to ensure you get the most from your interview experience. Box makes reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please complete this form . Reasonable accommodations may include scheduling adjustments, document dictation and beyond. Notice to applicants in Los Angeles:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance.  The Fair Chance Ordinance is provided here . For details on how we protect your information when you apply, please see our Personnel Privacy Notice. If you are a California-resident, please read our California Applicant & Candidate Privacy Notice here . NOTICE OF USE OF AI At Box, we believe in the power of AI to improve the recruiting process while keeping people at the heart of every decision. For more information on the use of AI in our hiring process, please visit our webpage here . # LI-HYBRID Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . San Francisco Pay Range $238,000 — $297,500 USD Box is committed to fair and equitable compensation practices. Actual base salary (or OTE if commissionable role) is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information , check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . Redwood City Pay Range $238,000 — $297,500 USD Box is committed to fair and equitable compensation practices. Actual OTE range is dependent upon factors such as: knowledge, skill level, experience, and work location. This role is also eligible for equity and benefits. For more information, check out our benefits and perks . In accordance with OFCCP compliance, here is the Pay Transparency Provision . United States Pay Range $238,000 — $297,500 USD

Location: United States; Canada 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 As a Senior Security Engineer, Offensive Security, you'll help drive offensive security at Docker, putting our products, platforms, and cloud infrastructure under realistic adversarial testing to surface and drive out attack paths before real adversaries find them. You'll partner with engineering, product, and leadership to turn findings into durable fixes and to shape how security is designed into every Docker product. You'll apply your expertise in penetration testing, threat modeling, and exploit development to find and eliminate risks across Docker products and infrastructure. Working across cloud infrastructure (AWS, GCP, Azure), containerized environments, and AI/ML products, you'll implement proactive security solutions that scale with Docker's growth. This role offers the opportunity to help improve security programs at a company whose products are trusted by millions of developers worldwide. You'll work in a fast-paced, technically challenging environment where your security expertise directly impacts both Docker's platform and the broader container ecosystem. _______________________________________________________________________ RESPONSIBILITIES - Contribute to security initiatives that align with business goals, helping ensure security is a core component of our products and infrastructure - Support and help implement key security programs such as automated security design reviews, and vulnerability management - Build deep knowledge of software security and architecture, and act as a go-to resource for engineering teams - Partner with engineering to design and implement security architecture and controls across Docker products and platforms - Plan, scope, and execute penetration tests and red-team / adversary-emulation engagements against Docker's products and services - Develop proof-of-concept exploits and produce clear, risk-rated findings with actionable remediation guidance, then retest fixes to confirm closure - Build and maintain offensive security tooling and automation to expand testing coverage and repeatability - Perform security reviews and threat modeling (design, architecture, and code) across Docker products and services, including emerging AI products, and write automated security tests and exploits - Serve on rotating on-call schedule to respond to security events, investigate threats, and coordinate remediation efforts - Educate and collaborate with cross-functional teams (e.g., engineering, product) to promote security practices - Participate in Security Incident response _______________________________________________________________________ QUALIFICATIONS - Have 3+ years in security engineering, including hands-on offensive security and penetration testing across applications and infrastructure - Possess 2+ years of hands-on development experience in Python or Golang - Demonstrate deep expertise in authentication, authorization, including technologies like OAuth, cryptography applications and Zero Trust principles. - Have strong hands-on experience with securing cloud ecosystems (e.g. AWS, GCP, Azure) - Have hands-on penetration testing experience across SaaS web applications and APIs., including manual exploitation beyond automated scanners - Are proficient with offensive tooling and techniques such as. Burp Suite, and OWASP frameworks - Can write security tests and develop exploits and proof-of-concepts that find real vulnerabilities in a product - Understand AI/ML security risks and mitigations, including prompt injection, data poisoning, model extraction, and adversarial attacks - Have practical experience using LLMs and agentic tooling to automate vulnerability discovery, reconnaissance, and pentesting workflows - Have a track record of building security programs and automations from scratch, applying risk-based prioritization - Have experience performing security reviews and building or improving security review automation - Have excellent communication skills, allowing you to explain complex security concepts clearly to technical and non-technical stakeholders - Understand industry standards, and actively keep up with emerging security technologies and models - Are a team player who drives security change via collaboration and cross-functional partnerships - Hold offensive security certifications such as OSCP, OSWE, OSEP, GXPN, GPEN, or CRTO - Have published CVEs, original security research, or conference talks Bonus if you: - Have experience with container escape, Kubernetes attack paths, or cloud red teaming - Have experience testing AI/ML systems for issues like prompt injection, model extraction, and data poisoning _______________________________________________________________________ WHAT TO EXPECT FIRST 30 DAYS: - Meet with security team and key partners across engineering - Gain access to team owned systems, and internal documentation - Complete security awareness training and compliance onboarding - Review application architecture, tech stack and data flow - Review risk registry and annual roadmap - Familiarize oneself with team workflows and processes - Shadow a fellow security engineer during their on-call/secops rotations FIRST 90 DAYS: - Conduct security review on emerging Docker products - Scope and execute your first penetration test against a Docker product or service - Actively participate in architecture design reviews with the team - Contribute to a Security-owned project or initiative - Collaborate with Docker developers to validate and resolve discovered vulnerabilities - Enhance incident response capabilities by participating in on-call rotation and post-incident activities - Create and maintain security documentation and runbooks FIRST YEAR OUTLOOK - Contribute to the security roadmap for improving security controls - Strengthen Zero Trust architecture and least privilege access controls - Enhance security monitoring and anomaly detection - Perform security reviews for major product releases - Own and run recurring penetration tests and adversary-emulation exercises across Docker products, and engage with external researchers - Support audits and ensure compliance with SOC 2, ISO 27xxx - Advocate for “security by design” in all product features - Become well versed in Docker products and emerging AI technologies Visa sponsorship: Not available for this role. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. Canada: CA$271,150 – CA$434,000 base United States: $194,150 – $312,950 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: Barcelona, Spain Appodeal is a dynamic US-based product company with a truly global presence. We have offices in Warsaw, Barcelona and Parkland (FL), along with remote team members located around the world. Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space. Why Appodeal? At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses! We take pride in our cutting-edge product and our internationally dispersed team of talented professionals. Here’s what we value, and what we hope you do too: Seek the Truth and Say It with Care: We find the truth together, and nobody owns it, the CEO included. Stories, perspectives and beliefs can be personal. Facts can’t. Leverage Data to Build Product: Our decisions start from data. We build systems rather than one-off tasks, use AI agents in our daily work and automate whatever is manual. When numbers don’t match, we fix them. We Work Together to Serve Others: No closed doors between teams. We share what we learn and win as one company first. Insist on Higher Standards: We don’t settle for “good enough”. We question it and push for better. Passionate Curiosity Fuels Perseverance: We ask “why”, take on ambiguous problems and keep going when they get hard. Lean Startup Mentality: Start Small, Iterate Quickly: Think big, ship an MVP first and learn fast. No big-bang releases. Ownership and Accountability: We work in small squads so each team owns its result end to end and has the freedom to get there. Go deep in your craft and wide enough to own the whole outcome. Escalate blockers early, admit mistakes, fix the damage and learn. Why this role exists: Our economics are richer than a typical software P&L. Gross billings flow through us to publishers, so what we book and what we keep are two different numbers. We deploy our own capital into user acquisition and earn it back over cohorts. Revenue moves with eCPMs, impression volume, network mix, portfolio concentration and platform policy — sometimes in the same month. Leadership and the board need one version of that story: built once, refreshed on a calendar, and trusted by everyone reading it. That is what this role owns. You will be the analytical spine of the company — the person who owns the model, runs the planning cycle, and turns 200+ metrics into the handful of numbers that actually drive decisions. What you’ll own: The consolidated operating model. Driver-based revenue, gross profit, opex, headcount and cash for the group — annual budget, quarterly re-forecast, monthly rolling view. One model, one source of truth, documented well enough that someone else can audit it. Board and investor reporting. Build the board package end to end: KPI pack, P&L and cash bridges, plan-versus-actual, and a written narrative that explains movements rather than restating them. You own the calendar, the pre-reads and the follow-ups. The monthly cycle. Partner with Accounting through close, produce variance analysis against budget and forecast, and get a flash view to leadership in the first days of the month — with the reasons attached, not just the deltas. Revenue economics. Model gross ad revenue and net revenue after publisher payouts, take rate by product and cohort, eCPM and impression drivers, and network and publisher concentration — keeping the gross-versus-net presentation consistent with how revenue is recognized. UA capital and Accelerator economics. Treat the UA fund as a capital allocation problem: cohort ROAS and payback curves, capital deployed versus recouped, per-title P&Ls, revenue-share deal models to support go/no-go calls, and a clear read on the working capital tied up between paying for installs and collecting from networks. Opex and headcount partnering. Be the finance partner to Product, Engineering, Growth and G&A: hiring plans, vendor and cloud spend, return on what we choose to fund, and the discipline to say plainly what something costs. Scenario and sensitivity work. Take-rate and pricing changes, network mix shifts, privacy and platform policy changes, FX across our entities, downside cases with the levers named and quantified. The reporting stack. Move routine reporting out of spreadsheets and into BI and planning tooling, working with the Data team so finance definitions match what the product actually measures. Management of 2 financial analysts. What you bring: 7+ years in FP&A, investment banking, transaction services or strategy consulting, including at least two to three years in an operating seat owning a budget and forecast cycle. Modeling that holds up under scrutiny: driver-based three-statement models, cohort and unit economics, scenario mechanics built for someone else to inspect. Building automation into finance reporting — this seat's own charter: AI-assisted forecasting, an agentic reporting layer, rolling-forecast automation, scenario tooling, automated variance reporting. Fluency with large transactional datasets — you should be able to answer your own questions rather than queue for them. Experience presenting to executives and a board, and the judgment to know which three numbers matter in a given month. Direct, transparent communication in English (our working language), and the ability to disagree with a commercial team while keeping them as a partner. Ownership as a default: you see gaps in process and close them without being assigned to. Leadership experience - mentoring and leading a team of analysts. Based in or relocating to Barcelona, eligible to work in Spain, and comfortable with a hybrid rhythm. Nice to have: Ad tech, mobile gaming, marketplaces, healthcare, financial services, telecommunications, e-commerce or any other pass-through revenue business — including principal-versus-agent and gross-versus-net revenue judgments. Multi-entity, multi-currency consolidation across US and EU entities. A planning tool (Pigment, Anaplan, Abacum, Planful) and BI (Looker, Tableau, Metabase), plus a modern ERP such as NetSuite. Python, SQL or dbt for analysis, and the instinct to automate any report you have built twice. With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team. Join us and help shape the future of mobile app success!

About LawnStarter: LawnStarter is the nation's leading on-demand marketplace for lawn care and outdoor services, with over $150M in annual bookings. The company is expanding beyond lawn care to become a one-stop shop for all home services, operating across three brands (LawnStarter, Lawn Love, Home Gnome) on a single shared platform. About Analytics at LawnStarter: The analytics team is small and senior, supporting the entire company including product, marketing, operations, and finance. The data platform is built on a centralized Redshift data warehouse, modeled in dbt and orchestrated by Airflow, with Segment feeding event data. The team is mid-migration to Lightdash as the single BI platform, replacing Tableau and Metabase. Currently, governance tasks are side work done by analysts, and this role is dedicated to data governance. The Role: You will be the first dedicated person at LawnStarter responsible for data governance, owning the trustworthiness of data and the roadmap to improve it quarterly. Responsibilities include ensuring quality and freshness of source data, pipelines, reports, metric definitions, Segment event tracking standards, Lightdash workspace health, data feeding machine learning models, and data security. You will collaborate with product, marketing, operations, and finance to understand business data needs and prioritize platform work. This is a hands-on managerial role starting solo, building automation, fixing issues, and establishing scalable processes. Eventually, you will hire and lead a Lead Analytics Engineer. Key Differentiators: - First dedicated governance role, reshaping existing governance standards. - Own the data roadmap, discovering and prioritizing business needs. - Full ownership from source data to ML models. - Lead the migration to Lightdash, setting up permissions and structure. Responsibilities: - Develop and manage the data roadmap balancing stakeholder needs and platform health. - Implement automated monitoring for data quality and freshness. - Maintain data lineage and impact analysis to assess downstream effects of changes. - Administer Lightdash workspace, permissions, and rollout. - Extend and guard the semantic layer ensuring one governed definition per metric. - Govern Segment event tracking catalog, standards, and drift detection. - Ensure AI data readiness for internal AI tools querying the warehouse. - Manage data security and privacy including access controls and compliance with US state privacy laws. - Maintain governance documentation, ownership models, and review processes. Challenges to Solve: - Convert business requests into a prioritized data roadmap. - Ensure Lightdash migration improves platform usability and governance. - Complete and maintain the semantic layer. - Prevent entropy in event tracking and maintain standards. - Proactively detect and resolve data pipeline breakages. Success Metrics (Year 1): - Zero pipeline incidents from unannounced source data changes. - Zero freshness incidents with stakeholders always seeing up-to-date dashboards. - All business areas self-serve on official, well-maintained metrics and dashboards. - Retire Tableau and Metabase. - Every Segment event has an owner and meets standards. - Governance operates as a documented, sustainable system. Requirements: - Passion for data governance and making data systems trustworthy. - Daily use of AI tools (Claude Code, Copilot, ChatGPT) for automation and anomaly triage. - Hands-on manager accountable for others' output and still actively building. - Product-minded, able to translate vague requests into prioritized plans. - Automation-first approach to quality checks. - Ability to enforce standards with clear rules and good tooling. Role is not: - Large team leadership initially; starts solo with potential to grow. - Policy or committee role; hands-on fixing with code, config, or conversation. - BI analyst role focused on dashboard building. - Babysitting a finished system; role involves building and maturing the platform. Tech Stack: - Warehouse & pipelines: Redshift, dbt, Airflow - Ingestion: Fivetran, custom Airflow pipelines - Event tracking: Segment - BI: Lightdash (primary), Tableau and Metabase (sunsetting) - AI tooling: Claude Code, Codex, Brain (internal AI toolkit) - Observability: AI-powered Analytics Engineer agent for freshness monitoring, anomaly detection, dbt lineage Benefits: - Base salary $75k-$120k/year - Fully remote work with deep focus environment - Async collaboration - Flexible PTO - Equal employment opportunity and compliance with nondiscrimination laws

Location: San Francisco, California; Toronto, Ontario, Canada Workplace: Hybrid ABOUT SENTRY Software runs the world and the pace is faster than ever. Sentry helps developers fix errors and performance issues before users notice, so teams can spend less time firefighting and more time building. Trusted by 200,000+ organizations, Sentry is today’s application monitoring standard and our team is building its AI-native future. ABOUT THE ROLE Sentry is looking for a Manager, Design Engineering to lead the team behind Scraps, our design system. This role would manage a team of designers and front-end engineers that is building the infrastructure that powers our UI development. This role lives at the intersection of design, engineering and AI tooling. The ideal candidate is comfortable reviewing a component's API in a pull request, can critique the consistency of typography across components, and has created skills to help agents use a design system more effectively. This role will set the direction for our system, grow the team, and stay close enough to the work to make design and implementation decisions. IN THIS ROLE YOU WILL - Manage and grow a team of engineers and designers — hiring, leveling, and coaching across both crafts - Own the strategic roadmap for the team: what components to prioritize, what tools to adopt, which parts of the web app to refactor, etc. - Help maintain the UI quality and expression that Sentry is known for - Keep design and code in sync — tokens, variables, component parity, and the pipeline from Figma to production - Stay hands-on building components and the infrastructure to enable fast, accurate agentic front-end development and prototyping - Drive adoption across product teams through documentation, lint rules, and contribution workflows that don't slow anyone down YOU'LL LOVE THIS JOB IF YOU - Consider yourself a design engineer, or a designer who codes - Are passionate about design systems as the context layer for agentic frontend development, and want to build tools and skills that enable product teams to ship faster - Nerd out over component APIs, variant structures, and tokenization and naming conventions - Care deeply about consistency but know when a pattern needs to flex for a specific use case - Care deeply about interface quality, and want to build world class front-end infrastructure you can be proud of - Get as much out of growing people as you do out of building things QUALIFICATIONS - 3+ years of experience in a full-time design system or design engineering team - 2+ years of people management experience - Strong visual and interaction design skills with a sharp eye for spacing, hierarchy, and micro-interactions - Deep fluency in React, TypeScript, CSS, and the DOM - Familiarity with Figma's design systems tooling — components, variants, variables, auto layout, shared libraries, and branching workflows - Able to balance long-term system thinking with the practical needs of product teams shipping on tight timelines The base salary range (or hourly wage range, if applicable) that Sentry reasonably expects to pay for this position is $200,000 – $270,000. A successful candidate’s actual base salary (or hourly wage) amount will be determined by a variety of relevant factors including, without limitation, the candidate’s work location, education, work and other relevant experience, skills, and job-related knowledge. A successful candidate will be eligible to participate in Sentry’s employee benefit plans/programs applicable to the candidate’s position (including incentive compensation, equity grants, paid time off, and group health insurance coverage). See Sentry Benefits https://sentry.io/careers/ for more details about the Company’s benefit plans/programs. EQUAL OPPORTUNITY AT SENTRY Sentry is committed to providing equal employment opportunities to its employees and candidates for employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, or other legally-protected characteristic. This commitment includes the provision of reasonable accommodations to employees and candidates for employment with physical or mental disabilities who require such accommodations in order to (a) perform the essential functions of their jobs, or (b) seek employment with Sentry. We strive to build a diverse team, with an inclusive culture where every teammate can thrive. Sentry is an open-source company because we believe that everyone, everywhere, should have the ability and tools to make great software. Software should be accessible. That starts with making our industry accessible. If you need assistance or an accommodation due to a disability, you may contact us at accommodations@sentry.io. Want to learn more about how Sentry handles applicant data? Get the details in our Applicant Privacy Policy https://sentry.io/careers/applicantprivacy/.

Location: Hybrid About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Location: New York City What you will do as a Customer Engineer The Customer Engineer (CE) is the core driver of our technical go-to-market strategy: a trusted technical advisor and primary architect of the customer journey. You will bridge the gap between technical strategy and business value—guiding enterprise clients from initial pre-sales technical validation through onboarding, deployment architecture, and full lifecycle expansion. Sitting within the GTM organization and reporting to a Customer Engineering Leader, you will not hand off your customers once an initial agreement is reached. Instead, you will operate as a quota-carrying technologist, leveraging AI-augmented workflows to eliminate administrative toil so you can focus on high-value architectural design and driving measurable business outcomes across the entire customer journey. Key Responsibilities Technical Validation: Partner closely with Account Executives to lead technical deep-dive discovery, capture business requirements, and map complex customer infrastructure - DNS, CDN, Zero Trust, Network Security, Workers - to fit-for-purpose Cloudflare architectures and bespoke solutions. . Define, scope, success criteria, and technical evaluations plans for Proof of Concepts (PoCs) and Technical Validations. Deliver tailored technical presentations, architectural diagrams, and demonstrations that show how Cloudflare solves specific performance, security, and reliability challenges. Proactively address complex technical objections, security compliance questions, and edge-case architectural requirements during the sales cycle. Take accountability for a suitable solution deployment strategy (Customer, Partner or Cloudflare Professional services) being an integral part of all proposals. Customer Adoption & Value Realization: Provide oversight to technical onboarding and implementation, but not execute the implementation, serving as the primary executive and engineering contact for the customer. Design structured migration and onboarding blueprints tailored to the customer’s environment (e.g. DNS migrations, Zero Trust rollouts, WAF tuning guidance), and act as the lead consultant for customer engineering teams, walking them step-by-step through configuration best practices.  Partner with Account Executives to own discovery, demos, onboarding, technical health, risk, and expansion strategy. Proactively monitor customer health scores and telemetry to ensure rapid time-to-value, resolve integration bottlenecks, and reduce deployment risk. Commercial Accountability & Expansion: Carry a variable quota tied directly to new business acquisition and/or ongoing account growth. Be commercially accountable for ensuring deep platform adoption, retaining revenue, and identifying strategic cross-sell and up-sell opportunities based on product usage data. Lead technical Quarterly Business Reviews (QBRs) to translate platform capabilities into return on investment for C-level executives. Trusted Advisory: Act as a trusted technical advisor throughout the entire customer lifecycle, maintaining a continuous, deep relationship with key stakeholders from initial onboarding through maturity, renewal, and expansion. Provide thought partnership on architecture, AI control layers, security posture, and deployment confidence. Identify potential deployment risks or integration bottlenecks early, and provide remediation strategies to de-risk customer outcomes. AI Orchestration & Workflow Automation: Leverage AI agents, Large Language Models (LLMs), and internal platforms to automate routine tasks such as RFP/Security Questionnaire responses, sandbox provisioning, basic telemetry monitoring, and internal/external documentation, reclaiming your time for strategic customer advisory. Education & Enablement: Partner closely with the Enablement Team to design, build, and govern technical resources. Define, document, and educate both internal teams and customers on deliverables such as Standard Operating Procedures (SOPs), architectural best practices, and technical guides to continuously raise the technical baseline across the organization. Minimum Qualifications Experience: Experience in a customer-facing technical role, such as Solutions Engineering, Customer Engineering, Professional Services,  Sales Engineering, Technical Account Management, or as a Forward Deployed Engineer (years of experience required will vary based on Associate, Senior, Staff, or Principal leveling). Architectural Mindset: Ability to white-board, design, and articulate complex enterprise network and security architectures clearly. Consultative & Advisory Skills: Excellent communication skills with the ability to translate deeply technical concepts into business outcomes for both hands-on engineers and C-level executives. Commercial Mindset: Proven track record of operating in a quota-carrying or revenue-aligned environment, with a strong understanding of SaaS metrics, business value translation, and enterprise sales cycles. Communication: Exceptional presentation and stakeholder management skills, capable of bridging the gap between deep technical implementation details and high-level C-suite business strategy. Technical Breadth: We do not expect every candidate to be an expert in every domain. Qualified candidates will demonstrate depth in at least four of the technical areas below: Internet fundamentals: Deep understanding of how the Internet works, including OSI Model layers 1–7, BGP, GRE, TCP/UDP, DNS (authoritative and recursive), HTTP(S), and SSL/TLS. Security: Expertise in the security of Internet properties, including WAF, Bot Management, Firewalls, Rate Limiting, (M)TLS, Zero Trust, and SASE concepts. Performance: Expertise in the performance of Internet properties, including speed, latency, caching, video streaming, HTTP/2, and TLS 1.3. AI Proficiency: Familiarity with prompt engineering, AI-assisted scripting and log analysis, LLM utilization, and workflow automation to augment everyday CE workflows. Coding/Scripting: Proficiency in Python, JavaScript, Bash, Lua, Go, or similar languages to write custom integration scripts, API connectors, and edge computing functions. Developer Platform Fluency: Experience designing, building, deploying or scaling applications using RESTful/GraphQL APIs, SDKs, webhooks, and developer tooling in cloud-native environments. Familiarity with infrastructure-as-code (Terraform, Pulumi), CI/CD pipelines, and observability for developer-led deployments. Strongly Preferred Qualifications (The "Good-to-Haves") Technical Enablement: Track record of creating and delivering technical enablement - workshops, code samples, documentation, or developer onboarding - that accelerates customer adoption of complex platforms. Applied AI Knowledge: Experience with LLM orchestration, Retrieval-Augmented Generation (RAG) architectures, and model-access controls. Regulatory Knowledge: Understanding of regulatory requirements such as PCI DSS, HIPAA, and SOC 2. Hyperscaler / Digital Native Background: Talent coming out of hyperscalers, digital natives, distributed systems environments, or startups is strongly valued for its deeper cloud fluency and advanced architecture depth. Education Undergraduate or graduate degree in Computer Science, Engineering, or a related field. Travel This role may require travel up to 20–50% to attend customer meetings, conferences, industry events, and in-person team collaboration. Compensation This role features a competitive base salary and a variable compensation structure tied directly to the successful execution of full-lifecycle commercial targets, including new business acquisition, ongoing adoption milestones, and overall account expansion. Compensation may be adjusted depending on work location. For New York City, New Jersey based hires: Estimated annual salary of $204,000.00 - $321,000.00 Equity This role is eligible to participate in Cloudflare’s equity plan. Benefits Cloudflare offers a complete package of benefits and programs to support you and your family.  Our benefits programs can help you pay health care expenses, support caregiving, build capital for the future and make life a little easier and fun!  The below is a description of our benefits for employees in the United States, and benefits may vary for employees based outside the U.S. Health & Welfare Benefits Medical/Rx Insurance Dental Insurance Vision Insurance Flexible Spending Accounts Commuter Spending Accounts Fertility & Family Forming Benefits On-demand mental health support and Employee Assistance Program Global Travel Medical Insurance Financial Benefits Short and Long Term Disability Insurance Life & Accident Insurance 401(k) Retirement Savings Plan Employee Stock Participation Plan Time Off Flexible paid time off covering vacation and sick leave Leave programs, including parental, pregnancy health, medical, and bereavement leave What Makes Cloudflare Special? We’re not just a highly ambitious, large-scale technology company. We’re a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet. Project Galileo : Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost. Athenian Project : In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states. 1.1.1.1 : We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released. Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers. Sound like something you’d like to be a part of? We’d love to hear from you! Please note that applicants who progress to the offer stage of the interview process may be asked to attend an in-person interview within one of the Cloudflare Offices or Cloudflare Hubs.  More details about this will be available at that stage of the interview process. This position may require access to information protected under U.S. export control laws, including the U.S. Export Administration Regulations. Please note that any offer of employment may be conditioned on your authorization to receive software or technology controlled under these U.S. export laws without sponsorship for an export license. Cloudflare is proud to be an equal opportunity employer.  We are committed to providing equal employment opportunity for all people and place great value in both diversity and inclusiveness.  All qualified applicants will be considered for employment without regard to their, or any other person's, perceived or actual race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, national origin, ancestry, citizenship, age, physical or mental disability, medical condition, family care status, or any other basis protected by law. We are an AA/Veterans/Disabled Employer. Cloudflare provides reasonable accommodations to qualified individuals with disabilities.  Please tell us if you require a reasonable accommodation to apply for a job. Examples of reasonable accommodations include, but are not limited to, changing the application process, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.  If you require a reasonable accommodation to apply for a job, please contact us via e-mail at hr@cloudflare.com or via mail at 101 Townsend St. San Francisco, CA 94107.

Location: Washington D.C. Workplace: Remote Tempo is a layer-1 blockchain purpose-built for stablecoins and real-world payments, born from Stripe’s experience in global payments and Paradigm’s expertise in crypto tech.   Tempo’s payment-first design provides a scalable, low-cost predictable backbone that meets the needs of high-volume payment use cases. Our goal is to move money reliably, cheaply, and at scale. Our north star is simplicity for users: fintechs, traditional banks, merchants, platforms, and anyone else looking to move their payments into the 21st century.   We're building Tempo with design partners who are global leaders in AI, e-commerce, and financial services: Anthropic, Coupang, Deutsche Bank, DoorDash, Mercury, Nubank, OpenAI, Revolut, Shopify, Standard Chartered, Visa, and more.   We’re a team of crypto-optimists, building the infrastructure needed to bring real, substantial economic flows onchain. We like to move fast and swing for the fences — join us! The role You will be our first policy and government relations hire. You'll build Tempo's presence in Washington from the ground up. You'll represent us on Capitol Hill, with regulators, and across industry coalitions, and you'll help the company understand and shape the rules that govern stablecoins, digital payments and agentic commerce. We're looking for a seasoned senior leader who is not afraid to roll up their sleeves. As our first policy and government relations hire, you’ll set the strategy and run it yourself. You will be our voice to Congress and regulators. You will also be a strategic partner to Legal, Product, Comms/Marketing, and GTM, shaping how policy factors into product decisions from the earliest stage. Context shifting will be critical to success; the best candidate will understand how to move between strategy and execution hour to hour and day to day. Responsibilities - Build and run Tempo's federal government relations strategy, with a focus on stablecoin, payments, digital assets and agentic commerce legislation and rule making - Develop and maintain relationships with Members, committee staff and relevant regulators - Engage on emerging AI and agentic commerce policy as it intersects with payments - Track and analyze federal and key state policy developments, then turn them into clear guidance for leadership and product teams - Draft comment letters, testimony, white papers, one-pagers, and briefing materials - Build and manage Tempo's presence in trade associations and industry coalitions, and build alliances across the payments, fintech, and AI ecosystems - Support company leadership in DC engagement - Manage outside lobbying and policy consultants as needed - Own the policy function end to end as a hands-on individual contributor Required qualifications - 8+ years of policy or government relations experience - In-house government relations experience at a payments, fintech, financial services, or technology company - Experience with payments policy, including stablecoins, money transmission, BSA/AML, card networks, real-time payments, or fintech regulation - Strong relationships and credibility on both sides of the aisle - Direct experience with digital asset policy, such as stablecoin legislation and implementation, market structure, or tax - Excellent written and oral communication skills: you can turn complex technical and regulatory issues into crisp, persuasive material - A self-starter comfortable working in a fast-moving startup, and quickly toggling between strategy and execution Preferred qualifications - Prior Capitol Hill experience, preferably on financial services, banking, or agriculture issues - Experience with AI or agentic commerce policy - Multi-client experience at a lobbying firm, consultancy, or trade association - Familiarity with federal agency rulemaking and regulatory engagement Attributes - High motor; speed is a cherished attribute at Tempo - Concise, evidence-based communicator - Intense curiosity and open-mindedness - Scrappiness; willingness to roll up sleeves

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we're delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we're building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It's an exciting time to join us: we're creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We're looking for a senior software engineer to join our Orchestration team, which owns the control plane layer of the dbt platform — the scheduler, execution harness, and results processing. You'll own the design and delivery of features end to end, working across high-throughput APIs and data models to make them faster, more reliable, and more capable. You'll write and review designs, raise the quality bar in code review, use the latest AI tools, and collaborate closely with product and design to deliver work that scales. This is a full-time, fully remote position. Technologies You'll Use Python, Rust, GraphQL, Postgres, Snowflake, Kafka, Kubernetes, Docker, AWS, GCP, Datadog What You'll D o Design and implement features and performance improvements across the Orchestration team's services — the scheduler, execution harness, and results processing Develop, maintain, and test high-quality, maintainable code, and optimize critical paths for performance Write technical designs for feature-level work, actively seek feedback, and clearly explain the trade-offs of your decisions Participate in and review technical designs and pull requests, providing constructive feedback to the team Improve test coverage with comprehensive unit tests and refactor code to drive down tech debt Troubleshoot and debug production issues, and follow up on incidents with post-mortems and mitigation plans Break features into tasks, structure and execute your own project plans, and contribute to sprint and feature planning Collaborate with product managers, QE, customer support, and peers to deliver the best product with high quality, performance, and scalability Participate periodically in the on-call rotation, and be mindful of security throughout your work Use AI tooling — IDE assistants like GitHub Copilot, coding agents like Claude Code, and conversational AI — to accelerate development and to author and review SDLC artifacts such as TDDs, PRDs, post-mortems, and test plans Skills We're Looking Fo r 5+ years of experience in the software industry with a passion for solving complex software engineering problems, including designing and building backend services and reusable components from the ground up Experience working with distributed systems and cloud computing concepts Demonstrated ability to write well-structured, performant, and well-tested code Ability to independently lead feature-level software and design work that satisfies project requirements, and to clearly explain design trade-offs Can identify design flaws in existing systems and propose improvements Experience with code reviews, design, troubleshooting, and testing Proficiency in a modern backend or systems language such as Python, Java, C++, or C# Hands-on experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Experience with continuous integration tooling such as BuildKite, and familiarity with observability tools like Datadog or Grafana is a plus Fluent in using AI code assistants and coding agents to generate and investigate code, and conversational AI (e.g. Claude, ChatGPT) to research, author, review, and synthesize SDLC artifacts Bonus Skill s Experience in data processing (ETL, ELT) and/or cloud-based data platforms Experience building or working with schedulers, workflow orchestration, job queues, or distributed task execution systems Experience with GraphQL APIs and high-throughput, multi-tenant data services Familiarity with the analytics engineering workflow and the dbt ecosystem The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $174,915 — $209,906.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Francisco, California Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Notion is building the operating system for knowledge work, and we want people to be able to do substantive knowledge work from their phone. A great native app is what makes that possible. On Android, that means Notion should feel like it was built for the platform: fast to open, smooth to scroll, and reliable offline or on a spotty connection. We’re investing in a more native foundation for how people read, write, and edit in Notion. That lets users capture ideas in the moment, find answers across their workspace, manage tasks and projects, and work with teammates, with the speed, polish, and dependability people expect from the best apps on their phone. As an Android engineer, you’ll help build that native foundation, from how pages render and how people write and edit, to the navigation and app chrome people use every day, like Home, Search, and Inbox, along with the shared frameworks the rest of the app is built on. You’ll work across the Android stack, with chances to dig into our shared Rust layer and the AI tools we use for mobile development. Along the way, you’ll pair with experienced product and mobile AI engineers to find what slows the team down, try new Android capabilities, and help decide what ships in the app. This role can be based in either San Francisco or New York City. We work from our offices on Mondays, Tuesdays and Thursdays (our Anchor Days) because we do our best thinking and building together in person. We’re looking for someone who’s excited to work alongside the team during those days. WHAT YOU'LL ACHIEVE - Ship the core Notion experience on Android: Build and polish the surfaces people use every day—opening and reading pages, writing and editing, navigating the app, and the Home, Search, and Inbox tabs—on a native Kotlin and Jetpack Compose stack that is fast to open, smooth to scroll, and dependable offline. - Build with product and design, and iterate fast: Partner with product managers and designers to turn ideas into shipped features, then use feedback and data to make them better. Use AI coding tools and agents to build, test, and investigate faster, while you stay accountable for review, validation, and quality. - By the end of your first year, own a core product area: Take a core part of the Android app, like Home, Inbox, or a piece of the editor, from idea to launch, and shape it into an experience that helps people do their life’s work from their phone. - Make the app feel fast and reliable: Find and fix issues in startup time, scrolling, typing latency, crashes, and memory use across the surfaces you own, and add the tests and monitoring that catch regressions before users do.   SKILLS YOU'LL NEED TO BRING - Solid Android fundamentals: You’ve built and shipped Android apps, through work, internships, or your own projects, and you’re comfortable with modern Android—Kotlin, Jetpack Compose, Coroutines/Flow, and Gradle. Experience with a large, modular codebase is a plus. - Care for native UI and performance: You enjoy making UI feel fast and smooth, and you’re curious about things like custom text rendering, complex lazy lists, or rich-text editing. Experience with performance profiling, realtime collaboration, or offline sync is a plus. - Product instincts: You care about how the app feels to use, not just how it works. You sweat the details of interactions and polish, and you use feedback and data to decide what to build next. - Thoughtful problem-solving and clear communication: You build a clear picture of the problem before jumping to a fix, you can explain trade-offs in writing, and you ask for help early when you’re stuck. Experience moving a hybrid or web-based surface to native, or building something from 0→1, is a plus. - AI-native, end-to-end engineering practice: You use AI tools and agents as real collaborators, framing tasks clearly, reviewing generated changes, testing behavior, and designing workflows that make the broader team more effective. Web experience (TypeScript, React, Node) is welcome but not required. Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco, the estimated base salary range for this role is $150,000 - $168,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550. https://dev.notion.so/a3ce416456924276a59de91bca740028?pvs=21   #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW As a Staff Software Engineer on the Security Engineering team, you will be a founding member of the team and define and drive the technical strategy for identity and access at Harvey — both how customers authenticate to Harvey, as well as how internal employees, contractors, and non-human identities access company systems, what they are authorized to do, and how seamlessly access adapts as needs change. Challenges ahead include exploring how AI-powered access management can understand employee needs, recommend appropriate permissions, streamline decisions, and adapt access as roles and responsibilities evolve, as well as shaping an end user/agent authentication experience that makes signing in to Harvey fast, consistent, reliable, and secure across every surface where our customers work. You will operate at the boundary of security, infrastructure, and product engineering — turning ambitious business and technical requirements into durable identity platforms, clear architectural direction, and exceptional user experiences. This role is hands-on, but its primary leverage comes through technical direction, platform adoption, cross-functional alignment, and enabling other engineers to build on strong identity foundations. WHAT YOU'LL DO - Define Harvey's multi-year technical strategy for identity, authentication, authorization, and privileged access. - Design and build complex identity systems from greenfield — writing the code, instrumenting it, and owning it in production. - Lead the architecture and execution of cross-functional initiatives to right-size access at scale, spanning identity and authentication, permissions and authorization, entitlement modeling, and access controls. - Extend the identity model to non-human and agentic identities, so that AI agents acting on behalf of users are authenticated, scoped, and auditable. - Serve as the technical authority for identity and access architecture and guide major design reviews, investment decisions, and long-term roadmaps. WHAT YOU HAVE - 10+ years experience building and operating production software, with demonstrated impact across multiple teams or technical domains. - Deep expertise in several identity and access engineering domains — authentication, federation, authorization, entitlement modeling, or privileged access. - Fluency with AI: you use AI-assisted development tools effectively while applying strong engineering judgment, and you design agentic workflows that automate repetitive toil and improve how teams operate. - Experience designing identity or authorization platforms, libraries, or abstractions used by other engineering teams. - Experience delivering foundational systems that achieve meaningful adoption and improve organizational or customer outcomes. - Experience with cloud infrastructure, such as Azure, Google Cloud Platform, or Amazon Web Services, and modern distributed-system patterns. - Strong communication skills and the ability to create alignment across technical and non-technical stakeholders. NICE TO HAVE - Experience with System for Cross-domain Identity Management (SCIM), OpenID Connect (OIDC), Security Assertion Markup Language (SAML), policy engines such as Open Policy Agent (OPA) or Cedar, Zanzibar-style authorization systems, or hardware-backed credentials. - Experience with identity governance and administration (IGA) or privileged access management (PAM) platforms, and with automating joiner, mover, and leaver workflows. - Experience building identity platforms or programs at a hyper-growth startup. - Experience with regulated environments such as FedRAMP, including phishing-resistant authentication and authenticator assurance requirements. COMPENSATION $231,000 - $340,000 USD   DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES [HERE https://www.notion.so/harveyai/Harvey-Candidate-Privacy-Policies-319ac3fcdd7a803bb807d5094f249922]. #LI-NP1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: San Francisco Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started.   ROLE OVERVIEW We are hiring a Partner Marketing Manager to own and execute joint go-to-market with the technology and data partners our customers already run their practices on. You'll build the integration narrative, run co-marketing campaigns, launch moments, and partner events, and enable both sales teams to tell a shared story. This is a high-ownership individual contributor role for someone who can set priorities across partners at very different stages of maturity, work through influence across two organizations at once, and turn ambiguous alliance conversations into programs that produce pipeline and product adoption. Success shows up as partnerships that customers actually feel in the product story, measurable partner-influenced pipeline, and a repeatable motion that scales as the ecosystem grows. WHAT YOU'LL DO - Own the joint go-to-market strategy for a portfolio of technology and data partners, setting priorities based on customer relevance, partner readiness, and measurable impact. - Develop positioning and messaging for integrated solutions and joint value propositions, tailored to the partner's audience and Harvey's buyers. - Plan and execute co-marketing programs with partner marketing counterparts, including campaigns, webinars, joint customer stories, executive events, and thought leadership. - Partner with Product and Product Marketing to shape integration launches and own how they are packaged and taken to market with each partner. - Partner closely with Partnerships, Demand Generation, and Sales to move plans from strategy through execution. - Enable Harvey sellers and partner-facing teams with messaging frameworks, integration collateral, proof points, and co-sell materials. - Track and report on partner-sourced and influenced pipeline, integration adoption, and program performance, using insights to improve future programs. WHAT YOU HAVE - 6-8+ years of experience in partner marketing, product marketing, or a related go-to-market role in B2B SaaS. - Proven experience building and executing joint go-to-market programs with strategic technology or data partners in an enterprise sales motion. - Strong understanding of ecosystem business models, with the judgment to prioritize across partners of differing maturity, reach, and opportunity. - Demonstrated ability to translate technical integrations into clear customer value - Proven ability to operate cross-functionally and influence stakeholders across multiple organizations without direct authority. - Experience marketing to legal, financial services, consulting, or other high-touch professional audiences is a plus. COMPENSATION $152,000 - $209,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LT1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: New York Workplace: Hybrid WHY HARVEY At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come. This is a rare chance to help build a generational company at a true inflection point. We have strong product-market fit and world-class investor support. We’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched. Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you. At Harvey, the future of professional services is being written today — and we’re just getting started. ROLE OVERVIEW We are hiring a Partner Marketing Manager to own and execute joint go-to-market with the technology and data partners our customers already run their practices on. You'll build the integration narrative, run co-marketing campaigns, launch moments, and partner events, and enable both sales teams to tell a shared story. This is a high-ownership individual contributor role for someone who can set priorities across partners at very different stages of maturity, work through influence across two organizations at once, and turn ambiguous alliance conversations into programs that produce pipeline and product adoption. Success shows up as partnerships that customers actually feel in the product story, measurable partner-influenced pipeline, and a repeatable motion that scales as the ecosystem grows. WHAT YOU'LL DO - Own the joint go-to-market strategy for a portfolio of technology and data partners, setting priorities based on customer relevance, partner readiness, and measurable impact. - Develop positioning and messaging for integrated solutions and joint value propositions, tailored to the partner's audience and Harvey's buyers. - Plan and execute co-marketing programs with partner marketing counterparts, including campaigns, webinars, joint customer stories, executive events, and thought leadership. - Partner with Product and Product Marketing to shape integration launches and own how they are packaged and taken to market with each partner. - Partner closely with Partnerships, Demand Generation, and Sales to move plans from strategy through execution. - Enable Harvey sellers and partner-facing teams with messaging frameworks, integration collateral, proof points, and co-sell materials. - Track and report on partner-sourced and influenced pipeline, integration adoption, and program performance, using insights to improve future programs. WHAT YOU HAVE - 6-8+ years of experience in partner marketing, product marketing, or a related go-to-market role in B2B SaaS. - Proven experience building and executing joint go-to-market programs with strategic technology or data partners in an enterprise sales motion. - Strong understanding of ecosystem business models, with the judgment to prioritize across partners of differing maturity, reach, and opportunity. - Demonstrated ability to translate technical integrations into clear customer value - Proven ability to operate cross-functionally and influence stakeholders across multiple organizations without direct authority. - Experience marketing to legal, financial services, consulting, or other high-touch professional audiences is a plus. COMPENSATION $152,000 - $209,000 USD DEPENDING ON YOUR LOCATION, AN APPLICANT PRIVACY NOTICE MAY APPLY TO YOU. YOU CAN FIND ALL OF OUR APPLICANT PRIVACY NOTICES HERE https://harveyai.notion.site/Harvey-Candidate-Privacy-Notices-319ac3fcdd7a803bb807d5094f249922?pvs=74. #LI-LT1 Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THIS JOB We're looking for a Head of Marketing Strategy & Operations to run the business side of marketing. Our marketing team went from two people to 25 this year, organized around four functions: product marketing, brand and consumer, enterprise, and growth. This is the first operations hire on that team. You'll own the marketing budget with Finance, run our planning cycle and operating cadence, keep hiring aligned with the plan, and partner directly with the CMO on how marketing sets priorities and tells its story to the executive team and the board. It's a role for someone who has sat close to a CMO and a CFO, likes turning ambiguity into a plan people can execute, and is comfortable building the function themselves before building a team. WHAT YOU'LL DO: Budget & Financial Operations - Own the marketing budget end to end with Finance: allocation across teams and channels, tracking against plan, forecasting, variance flags, and the tradeoff conversations that follow - Build the layer of visibility leadership needs (spend by team, channel, and program) on top of the spend-tracking tools we already have, so decisions get made with numbers - Run quarterly, half-year, and annual budget planning, and make marketing's case to Finance and the executive team - Own marketing's vendor and agency contracts end to end: evaluations, procurement, renewals, and a clear view of what we pay for and why Planning & Operating Cadence - Own marketing's planning cycle: translate company goals into marketing objectives, OKRs, and resourced plans, and keep them current as priorities shift - Bring a point of view. Pressure-test plans, frame the tradeoffs, and help the CMO decide where marketing places its bets - Design the lightweight processes and internal tools (planning, intake, reporting) that let a 25-person team operate like a much bigger one - Run the operating rhythm for the marketing leadership team: meetings, all-hands, team-wide readouts, agendas, decisions, and follow-through - Keep the marketing functions connected so plans, launches, and budgets move together Executive Partnership - Partner directly with the CMO on board materials, executive readouts, and strategy documents. Own first drafts and make them data-backed and on-message - Extend the CMO's reach across the team: surface risks early, chase decisions to closure, and keep priorities clear week to week - Represent marketing in cross-functional planning with Finance, Sales, and Product Hiring & Org Operations - Partner with Talent Acquisition and marketing leads on headcount planning, requisition tracking, and interview process, and keep hiring plans aligned with budget and org design - Standardize the basics across sub-teams (job descriptions, interview loops, scorecards) and help new leaders land well WHAT WE'RE LOOKING FOR: - 10+ years in marketing strategy and operations, business operations, strategic finance, management consulting, or a similar role supporting a CMO, GM, or business unit leader - You've owned a sizable marketing or departmental budget end to end and can talk about spend, forecast, and variance the way Finance does - You've built or run a planning cycle (annual or half-year, OKRs) and an operating cadence for a leadership team - You've drafted board or executive materials for a senior leader and know the difference between a readout and a narrative - Experience with headcount planning and hiring operations alongside a Talent team - You've run vendor evaluations and procurement alongside Finance and kept a clean view of contracts and renewals - Comfortable as an individual contributor. This is the first ops hire; you'll do the work before you have a team - You scope light and move fast. We plan in weeks, not quarters, and you build just enough process to keep a fast team aligned - You build trust quickly, from individual contributors to the C-suite - Bonus: you're comfortable building your own tools with AI. We use Replit to run Replit This is a full-time role that can be held from our Foster City, CA office. The role has an in-office requirement of Monday, Wednesday, and Friday.   Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: New York, NY Workplace: OnSite ABOUT US At LangChain, our mission is to enable every company to own its intelligence. We believe agents will transform how companies operate, and we're building the foundation to make that future possible. Our open-source harnesses and LangSmith platform give developers and enterprises the infrastructure to run, improve, and govern agents at scale. We've raised $460M to date, with our most recent funding round valuing the company at $3B, backed by leading investors including Sequoia, Benchmark, IVP, and CapitalG. As we continue to expand our platform and tackle some of the hardest challenges in agent engineering, every team member has the opportunity to make a meaningful impact and help shape both our technology and the future of the industry. More than 7,000 organizations rely on LangSmith, from fast-growing startups to Fortune 500 enterprises, including NVIDIA, Bridgewater, LinkedIn, Workday, and Rippling. We're just getting started on making high-performing agents easier to build and manage at scale. ABOUT THE TEAM The LangSmith team owns and builds LangChain's core platform for observability, evaluation, and production reliability of AI systems. From tracing and annotation to run rules, evaluations, and beyond, this team owns LangSmith end-to-end. If you want to define what great AI observability looks like at production scale, this is where that work gets done. ABOUT THE ROLE We're looking for a Product Manager to own key parts of LangSmith. Building AI products is changing the way software teams work; LangSmith is the observability, evals and deployment platform that makes shipping reliable AI systems possible. WHAT YOU'LL DO This role sits at the intersection of user experience and production infrastructure. You'll partner with engineers to build features that feel intuitive while solving deeply technical problems: versioning complex prompt chains, debugging multi-step agent failures, or designing evaluation systems that scale from 10 to 10,000 test cases. You'll work directly with customers — from early-stage startups shipping their first agent to enterprises running mission-critical AI systems — to understand where the platform breaks down and what capabilities unlock new workflows. - Own the roadmap for a core area of the LangSmith platform. - Work with customers to understand their challenges and define new product features. - Work with engineering to define scope, make technical tradeoffs, and ship high-impact features quickly. - Help shape product strategy alongside our founders and leadership team. WHAT YOU'LL BRING - 3+ years of product management or engineering experience, ideally building developer tools, infrastructure products, or technical SaaS platforms. - Deeply technical — you can hold your own in conversations about API design, system architecture, data pipelines, and debugging production issues. - Bias toward action — you'd rather ship, learn, and iterate than build the perfect solution upfront. - Strong written and verbal communicator who can align cross-functional teams around a shared vision. NICE TO HAVE - Computer Science, Engineering, or equivalent technical background. - Previous experience at a high-growth startup or developer-focused company. - Hands-on experience building with LLMs, agents, or AI applications. - Annual salary range: $180,000-$240,000 COMPENSATION PHILOSOPHY: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you’re tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. BENEFITS Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more.

Location: Paris Workplace: Remote ABOUT VOODOO Voodoo is a consumer tech company founded in Paris in 2013, with one mission: entertain the world. Today we are 1,000 people, generating $1b+ in annual revenue, profitably. Our games and apps have passed 7 billion downloads and reach 200 million+ active users every month, making Voodoo the #3 mobile publisher worldwide in downloads, after Google and Meta. We were backed by Goldman Sachs, Tencent and GBL along the way. TEAM Our Gaming team is made up of hybrid-casual, casual and mid-core experts. Our 'Core' games team supports internal and external studios worldwide in creating, developing and launching new hit games, whilst our 'Live' games team focuses on delivering higher engagement on our existing and successful games. You'll join the Portfolio Games Team (PGT) within Live: a small, tech-first and AI-first team that manages and grows a catalogue of 40+ live mobile games played by millions of users worldwide, with many more titles being onboarded. We own the full lifecycle, from game health monitoring and A/B testing to ASO, release management and live operations. To do this at portfolio scale we are building Sophia, our in-house AI agent that already manages games, runs A/B tests and automates store work across dozens of games. Our goal is simple: take humans out of the repetitive loop so the team can focus on making the product better. ROLE We are looking for a freelance Technical Artist to bridge art and engineering in an AI-first studio. Our development side already moves fast with Sophia; art production is now the bottleneck. Your mission is to set up the conventions, tools and pipelines that let AI generate, check and integrate 2D and 3D assets across our portfolio with minimal human intervention. By Q1 2027 we want Sophia running full art and 3D flows end to end, and you will be key to getting there. You will work day to day with our dev lead and the engineer who owns our AI/Figma/Unity art workflows, and with the art team. - Define art conventions and standards (naming, structure, layout rules for UI, banners and store assets) so that assets can be produced and validated automatically, not hand-polished one by one - Build tools and scripts in art software (Maya, plus Photoshop/Illustrator where useful) that check and fix assets automatically, e.g. validating that 3D meshes are watertight, within poly budgets and correctly set up, so an AI agent can run them as part of a pipeline - Optimise 3D models and meshes (topology, polygon count, UVs, LODs) and textures (compression, sizes, atlases) for mobile, without sacrificing visual quality - Own the Unity import pipeline: import settings, asset post-processors and automation so assets land in our games correctly and consistently - Integrate AI generation tools (image, 3D, animation) into production workflows and evaluate new ones as they appear - Help scale animated assets (e.g. animated store banners and promo visuals) across many games through templates and automation rather than manual work - Debug and fix graphical and performance issues across mobile devices; support shaders, VFX and particles where needed - Document everything so the pipelines keep running and improving after setup PROFILE - 5+ years as a Technical Artist, ideally in mobile games - Hands-on experience using AI in art production (e.g. Scenario, Flux, 3D generation tools, ComfyUI or similar), and a mindset of automating rather than perfecting by hand - Strong understanding of 3D models and meshes and how to optimise them; you don't need to be a 3D modeller, but you know what makes a mesh production-ready - Strong Unity skills: asset import and optimisation, C# scripting for editor tools; Shader Graph/HLSL, VFX and particles are a plus - Experience building tooling for art software, in particular Maya (Python and/or MEL) - Solid grounding in Photoshop and Illustrator: the "art" in technical art matters to us - Good understanding of mobile constraints (performance, memory, draw calls, batching) - Autonomous, pragmatic and deadline-driven: you know when an asset is good enough and move on - Fluent written and spoken English NICE TO HAVE - Python scripting outside art tools (pipelines, batch processing, APIs) - Experience with AI coding tools (Claude Code, Cursor, Codex) and LLM-based agents - Figma, and experience with UI/store assets for mobile games (ASO) - Substance or similar texturing tools; GPU profiling

Задачи: — участие в проекте по обучению AI-моделей; — разработка и обучение моделей, системы инференса, численные вычисления, оптимизация производительности; — программирование на Python; — создание, решение, проверка и валидация сложных задач в области ML Engineering; — реализация или модификация ML-модели; — создание воспроизводимого процесса обучения или инференса; — оптимизация использования памяти или производительности; — поиск и исправление численных или системных ошибок; — проверка соответствия реализации требованиям по корректности и производительности. Требования: — опыт использования coding agents с Python в рабочем процессе; — степень магистра или PhD; — уровень английского языка C1. Условия: — 15 часов в неделю; — полностью удалённая работа (Global); — гибкий график, специалист самостоятельно выбирает дни и часы работы, включая выходные при желании; — оплата $80–$150 в час.

Location: San Francisco, CA | New York City, NY | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Every time Claude runs code, uses a computer, or works as an agent, it does so inside a sandbox. Our Sandboxing team builds the isolation layer behind that work. The same systems run the code Claude writes for users, the environments we train and evaluate models in, and the agents our customers deploy. These workloads are untrusted by design, and there are a lot of them. Sandboxes need to start in milliseconds, hold up under adversarial code, and scale to a very large number of concurrent sessions. You will work at the boundary between the Linux kernel, virtualization, and the container ecosystem. You will partner with research, product, and security teams to make sure that safe and fast do not trade off against each other. Key responsibilities Design, build, and operate the sandboxing infrastructure that runs untrusted, model-generated code and agent workloads at scale Improve sandbox startup time, density, and throughput, including snapshot and restore, checkpointing, and warm pools Strengthen isolation across compute, filesystem, and network, including egress controls and per-session credential handling Investigate and fix performance, reliability, and security issues at the kernel, hypervisor, and container runtime level Build the monitoring, tracing, and debugging tools that show where time and resources go inside a sandbox Work with researchers to support reinforcement learning environments and evaluations that need fast, reproducible, isolated execution Work with product and platform engineers to expose sandboxes as a dependable, well-designed capability for Claude products and customers Partner with security teams to threat-model the platform and to test, harden, and respond to escape and abuse scenarios Work with cloud providers on the hardware and platform features that our workloads depend on Share knowledge on systems programming and Linux internals, and help set technical standards for the team Minimum qualifications Software engineering experience in Linux systems programming, kernel development, or another low-level area Strong programming skills in at least one systems language such as Rust, C, C++, or Go Working knowledge of virtualization or container isolation technologies such as KVM, QEMU, Firecracker, gVisor, or runc Understanding of Linux resource management, including namespaces, cgroups, scheduling, and memory management Experience profiling and debugging performance issues at the system level Ability to work in unfamiliar codebases and technical areas, and to ship practical solutions with measurable results Strong communication skills and a commitment to building safe, reliable systems Preferred qualifications Experience building or operating a multi-tenant sandbox, serverless, or code execution platform Experience with microVMs, user-space kernels, or lightweight virtualization, including snapshot and restore Experience with OS-level security hardening, including seccomp, LSMs, and threat modeling of untrusted code Experience with eBPF and kernel tracing tools Experience with Kubernetes and cloud infrastructure at scale (AWS, GCP) Experience with network isolation, high-performance networking, or building egress proxies and policy layers Experience with sandboxes for AI agents, computer use, or reinforcement learning environments Experience with GPU virtualization, accelerators, or performance work on machine learning workloads Prior experience as a technical lead or mentor Representative projects Cutting sandbox cold start from seconds to milliseconds with snapshot-based restore and pre-warmed pools Designing a network egress policy layer so agents can reach approved services without exposing secrets Running many thousands of parallel reinforcement learning environments with strong isolation between them Building tracing tools that attribute latency and resource use inside a running sandbox Reducing per-sandbox memory overhead to raise density on each host Hardening the runtime against escape attempts found in internal red-team exercises The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $320,000 — $485,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Workplace: Remote Hi, we’re Gravie. Our mission is to create health benefits that actually benefit small and midsize businesses and their employees. Our innovative benefit solutions and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way. ROLE SUMMARY Gravie is seeking a Senior Platform Engineer to build and operate the platform our engineering teams ship on. AWS should be second nature: deep enough to reach for it before documentation, and you should be as comfortable working alongside AI agents as in a terminal. The ideal candidate has genuinely operational AWS expertise, has worked in or closely with a platform team before, and knows a platform only succeeds when engineers choose it. They will own shared infrastructure, pipelines, and tooling end to end, partner with our architecture team on turning direction into paved paths teams actually adopt, and treat the engineers who use the platform as the customers they are. At Gravie, engineers work closely with Product and own outcomes end to end, and we practice agentic development to increase the scope and leverage of that ownership: engineers use AI agents to help develop specs and plans, then to execute substantial multi-step engineering work, while setting guardrails and acceptance criteria and owning the quality of everything that ships. As agents take on more of the execution, the bar on problem framing, architectural judgment, system thinking, and risk identification gets higher, not lower. HOW OUR PLATFORM TEAM WORKS If you have worked on a platform team, this will be familiar. If you have not, read it carefully, because it is the job. - The platform is a product and engineers are its users. Adoption is the measure of success, not tickets closed. If teams route around something we built, that is our problem to solve, not their failure to comply. - Self-service over gatekeeping. If the answer to a common request is a ticket to us, that is a bug in the platform. - We pave roads, we do not police them. Standards belong in pipelines, templates, and defaults, not in reminders and review comments. - Small team, wide surface. Leverage matters more than heroics, which is why AI tooling and automation are not side projects here - they are how the surface stays covered. - We operate what we ship. On-call for platform services is ours. So is the postmortem, and so is fixing the class of problem rather than the instance. - Documentation is a deliverable. A capability nobody can find or adopt without asking us is not finished. KEY RESPONSIBILITIES - Build and operate the shared platform: CI/CD pipelines, service templates, deployment tooling, and the shared infrastructure services teams depend on. - Own AWS infrastructure as code across multiple accounts, in Terraform, CDK, or both, held to the same standard as application code, including review, testing, and a real rollback story. - Implement and sustain the paved paths teams build on, partnering with architecture on direction while owning the operational reality once a path is live. - Operate what you build: on-call for platform services, incident response, the postmortem, and fixing the class of problem rather than the instance. - Build observability in by default: metrics, logs, traces, SLOs, and alerts that page a human only when a human is actually needed. - Own platform security posture alongside Security: identity and permission boundaries, secrets handling, network and data isolation, and remediation of findings in a HIPAA and SOC 2 environment. - Make cloud spend attributable and defensible through tagging discipline, cost visibility, and removing waste before it compounds. - Use AI agents as a normal part of daily workflow, and build them into the platform where they create leverage, including code review, alert triage, migrations, and repetitive remediation. - Automate toil out of the platform, reducing the number of requests that require a person at all, and measure whether it worked. - Treat documentation and developer onboarding as part of the deliverable, so teams can adopt platform capability without asking first. - Drive adoption of platform capability and standards, including the unglamorous migration work needed to move existing services. - Raise the engineering bar through code review and mentorship, and help other engineers get more out of AI tooling. QUALIFICATIONS - Five or more years of software or infrastructure engineering experience, including ownership of production systems that you also operated. - AWS to a depth that is genuinely second nature - reasoning about IAM policy evaluation, VPC routing and DNS, and container or serverless runtime behavior without reaching for documentation first, and having been the person who diagnosed it under real pressure. - Hands-on ownership of a multi-account AWS environment, including identity boundaries, networking, managed data services, and cost and tagging governance. - Infrastructure as code as your default rather than your fallback, in Terraform, CDK, or both, including how you review it, test it, and reason about blast radius before applying it. - Strong CI/CD engineering, including shared or templated pipelines consumed by more than one team. - Experience working in or closely with a platform, infrastructure, or developer experience team, and a clear point of view on what makes a platform get adopted rather than merely tolerated. - Real comfort with AI tooling in daily engineering work - using coding agents such as Claude Code to do meaningful multi-step work, able to describe where they fail and how you catch it, and keeping ownership of what ships. - Production operations experience: on-call, incident response, postmortems, and SLO thinking. - Strong programming ability in at least one language such as Python, Go, TypeScript, or a JVM language, enough to build tooling rather than only configure it. - Sound judgment on security, secrets, access control, and data handling, ideally in a regulated or audited environment. - Clear written communication - on a platform team, documentation and a well-argued change proposal are load-bearing, not overhead. PREFERRED QUALIFICATIONS - Healthcare or another regulated domain, including HIPAA and SOC 2 obligations. - Previous experience in a venture-backed high growth company. - GitLab CI at scale, including templated pipelines with typed inputs consumed across many repositories. - Datadog in depth: monitors, dashboards, SLOs, and keeping observability cost under control. - Container orchestration at production scale, such as ECS or Kubernetes. - Building AI tooling rather than only using it, such as MCP servers, Claude Code plugins or skills, or agent harnesses. - Dependency and currency automation, such as Renovate, and the lifecycle policy around it. - Delivery metrics work, including DORA, and the definitional arguments that come with it. - Familiarity with Team Topologies vocabulary and where platform teams fit alongside stream-aligned and enabling teams. - Experience decommissioning a platform capability, not only launching one. A LITTLE MORE ABOUT US: - We know healthcare. Our company was founded and is still led by industry veterans who have started and grown several market-leading companies in the space. - We have raised money from top tier investors who share the same long-term vision as we do of building an industry defining company that will endure over the long run. We are well capitalized. - Our clients love us. Customer satisfaction rates among employees using Gravie health plans consistently rank above 80% – nearly 40 points above the industry average. - Our culture is unique. We tend to be non-hierarchical, merit-driven, opinionated but kind people who thrive working in a high-performance, fast-paced environment. People at Gravie care deeply about making a positive impact in the lives of the people we serve. BENEFITS Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard health and wellness benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, up to 16 weeks paid parental leave, paid holidays, a 401k program, transportation perks, education reimbursement, and 2 days of paid paw-ternity leave. JOB APPLICANTS If you apply for employment with Gravie, personal information collected via our applicant tracking vendor is subject to our standalone California Job Applicant Notice at Collection, accessible directly within the application workflow and separate from this Policy.