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Location: Parkland, USA 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. 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: Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers. Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry. Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors. Enjoying the Journey: We believe in having fun while working toward our goals. About the Role We're hiring an Executive & Personal Assistant to the CEO to protect the CEO's quality time and reduce the number of decisions he personally has to make. You'll own his calendar, his working and living environment, travel, health and wellness operations, household and office administration, finance administration across personal and corporate spend, and the coordination of the small support team that executes all of it. The executive and personal sides of a founder's life are one system here, so this role covers both — you direct execution while keeping ownership of the outcome. And here's what makes this role different: you're not only running the operation, you're building the system that runs it. Meeting capture, transcription and OKR check-in data already happen automatically, and travel booking runs against a written playbook. What doesn't exist yet is a scorecard covering everyone in the support perimeter, fed by logs that collect themselves rather than by hand, and a way for the CEO to see the state of your work on a Monday morning without asking for it. Building both is a core expectation, not a nice extra — and as more of the administrative layer automates, this role shifts further toward reviewing what the systems produce, catching exceptions early, and managing the people and vendors around the automation. You'll report directly to the CEO. Key Responsibilities Calendar and meeting discipline Own the CEO's professional and personal calendar as a single integrated schedule — meetings, travel, training, treatments, family. Enforce meeting discipline: agendas prepared, correct attendees, pre-reads circulated 24 hours ahead, action items captured and closed before the next meeting. Manage requests for the CEO's time with judgement — decline, defer, delegate or escalate. Resolve calendar conflicts independently and report the resolution rather than returning the decision. Scorecards, reporting and automation Build and maintain a personal scorecard and a team scorecard covering every person and vendor in the support perimeter, with digital logs of dates, responsibility areas and reports. Hold a weekly and biweekly reporting rhythm that doesn't slip when operational demand rises. Work inside the company's OKR system, track commitments and follow through to closure. Automate recurring work with AI tooling — meeting notes and action items, scheduling, reporting, document drafting — and progressively reduce the manual load of the role itself. Environment management Make sure the Parkland office, the Barcelona setup and the CEO's home are ready before he arrives: climate, light, air quality, noise, cleanliness, food, connectivity. Resolve environment problems on the spot rather than routing them, including when the responsible person is unavailable. Travel, events and hospitality Own business and personal travel end to end, with a travel assistant executing bookings against a playbook covering class, hotels and budget. Manage conferences, quarterly business reviews, executive meetings, family occasions and milestones, gifts and deliveries. Handle disruption — cancellations, reroutes, ground transport failures — as it happens. Health, sport and wellness operations Coordinate medical, dental and concierge medical appointments and follow-ups, keeping continuity of care across providers. Manage the training schedule and wellness treatments, and manage nutrition with chefs in Parkland and Barcelona. Protect wellbeing decisions actively, including against schedules that are locally normal and personally wrong. Support perimeter and office operations Coordinate the support team — travel assistant, house manager, driver, handyman — plus office and household vendors, without formal line authority over them. Hire and onboard supporting roles, starting with an office manager. Run payroll for hourly staff on a biweekly cycle, verifying timesheets before approval. Keep vendor contracts, renewals and service quality under review, and supervise office operations including lease matters, setup and improvement. Finance administration Corporate card management: receipts, notes, monthly close. Personal and family payments through a dedicated account, with regular reporting and funding requests. Light bookkeeping and cost review across the support perimeter. Legal and personal projects Drive immigration, visa and documentation matters to completion, including in-house filings and deadline tracking. Household administration: security and camera systems, maintenance, insurance and service contracts. Family support requests, with CEO approval. What We're Looking For Experience Prior experience supporting a founder or CEO across both business and personal domains — not a scheduling-only or office-management-only background. Coordinating people and vendors without formal authority: household or office staff, contractors, service providers. International travel coordination — flights, hotels, visas, ground transport. Systems and Data You can build and maintain a scorecard or dashboard from scratch: define what's tracked, get the data in automatically where possible, and explain what the numbers mean to someone who wasn't involved. A track record of holding a reporting rhythm under operational pressure, evidenced by artefacts you built and maintained yourself. Demonstrated AI experience in this domain — scheduling, meeting notes and action items, reporting, document drafting — with the ability to describe the workflows you improved, the results they delivered, and how you validated the output. Tools Advanced Google Workspace; Slack; Zoom. A corporate expense platform such as Ramp, and payroll for hourly employees such as Rippling, with light bookkeeping. Soft Skills Exceptional attention to detail and very high personal standards. The resilience to absorb a high volume of competing tasks without letting the reporting cycle slip. Independent judgement — comfortable deciding and being accountable rather than escalating everything. Discretion: a very high standard of privacy around business, family, health and finances. Fluent English; US work authorisation; willing to work from Parkland four days a week with one day remote. Nice to Have Confluence and Jira, or comparable documentation and tracking tools. Experience with an OKR tracking system; a meeting-management tool such as Fellow; a scheduling AI such as Motion. Nutrition, health and wellness knowledge. Experience hiring and onboarding household or office staff, and experience with immigration and visa processes. How Success Is Measured Success in this role is measured through: The CEO never having to ask where something stands Task state visible to him without being requested Every person and vendor in the perimeter measured, with data arriving automatically rather than collected by hand A reporting rhythm that holds through difficult weeks Travel, events and environments running without questions being raised Nutrition, training and treatments running to schedule without the CEO's involvement Payroll, vendor contracts and spend accurate and reviewed on time You'll Work Closely With The CEO The executive team, on meeting preparation and follow-through The travel assistant, house manager, driver and handyman — and the office manager you'll hire Household and office vendors Finance, on corporate cards and payroll What Makes Someone Successful The strongest people in this role: Care about the outcome itself rather than how it looks — surface work passes a checklist and falls apart when someone opens the hood. Build the system instead of carrying it personally, so that what they set up survives them. Decide and report, rather than handing the decision back. Execute a direction they disagree with, and raise the disagreement where it belongs. Hold a large number of small details without being overwhelmed by the volume arriving. Location and Travel Parkland, Florida - four days a week in the office, one remote, with the judgement to be on site more when the situation requires it. We're open to candidates outside Florida who are willing to relocate, and relocation is covered in full. Occasional travel with the CEO, principally to Barcelona around quarterly business reviews. We are a group of different but like-minded people who are inspired by a common goal and love what they do. 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!

Location: Bremen, Germany Supervisor: Prof. Dr. Alexander Tormasov About the Position Constructor Knowledge Labs (CKL), in collaboration with Constructor Technology, invites applications for a PhD position in machine learning for software engineering and formal methods, on the Constructor Fabric project. Constructor Fabric turns a company's informal knowledge into production software through a pipeline of composable capability units called gears : requirements → architecture → product fit → framework (G1) → application → runtime. We are building a World Model over that pipeline — a model that does not just generate code, but predicts the consequences of an architectural decision: total cost of ownership, unintended side effects, latency and failure behaviour, and whether a proposed composition is even admissible. The central object is not a digital twin of the application but its formal architectural skeleton : gear contracts (GearSpec), a typed attributed hypergraph of the application (AppGraph), a composition algebra that defines which assemblies are legal, and several semantic projections (types, protocols, resources, security) over which properties are proved, refuted by counterexample, or reported as an explainable gap . All of it is written in a domain-specific language whose syntax trees and graphs we keep in a projectional editor (JetBrains MPS) — so the DSL is not a convenience layer, it is the thing that defines the model's state space and the boundary of what the model is allowed to propose. What you will work on Depending on your background, one or two of: Formal skeleton and composition — GearSpec as a contract $(Requires, Provides, State, Effects, Assumptions, Guarantees, Parameters)$; AppGraph as a typed attributed hypergraph; an algebra of assembly (sequential, parallel, feedback, refinement); semantic projections and system-level invariants over trajectories. Architecture synthesis as an inverse problem — given a specification, load and constraints, find the composition of gears that realises it. Constraint solving and MCTS as the baseline; a learned transition/value model for ranking and pruning; LLM proposals treated strictly as candidate hypotheses that a DSL parser, type checker and property checks must then admit or reject. DSL design and language engineering — the gear DSL and its glue layer decide which AppGraphs are expressible at all, and therefore where the search space ends. This thread covers the abstract syntax and static semantics of that DSL; the requirement that an architectural decision be unbypassable by construction (you must not be able to wire authentication around the Auth Resolver); what happens to the language when gear contracts change or a 201st gear is added; projectional representation of graphs with cycles; and the open hypothesis that a specialised G1-DSL is generated together with every G1. Local transition models and pipeline surrogates — fast approximate predictors for single pipeline steps (spec change → code quality, architecture → product fit, app → runtime outcome), with calibrated uncertainty, validated against real telemetry. Data — reconstructing (specification → architecture) pairs from open repositories at scale, plus synthetic project generation from a fixed gear set and DSL grammar to cover rare transitions, gaps and counterexamples. Profile MSc (or equivalent) in computer science, mathematics, or a mathematical natural science. Coursework in compilers, programming-language theory, language design or model-driven engineering is a strong positive signal, half of this project is deciding what a formal architecture description is allowed to say. Evidence that you finish things: a maintained open-source repository, a peer-reviewed publication, or a strong competition result. Fluent technical English. Most importantly: the habit of stating an assumption explicitly and designing an experiment that could falsify it. Required mathematical background Core skills: Probability and statistics. Estimation, Bayesian inference, uncertainty quantification and calibration (proper scoring rules, reliability diagrams, ECE), experiment design and significance testing. A prediction we cannot calibrate is not usable here. Linear algebra and multivariate calculus at the level needed to derive, not just call, a training objective: matrix calculus, gradients, stochastic optimisation, conditioning. Discrete mathematics and graph theory. Typed and attributed graphs and hypergraphs, subgraph matching and isomorphism, graph rewriting, reachability, basic complexity classes. Mathematical logic and formal methods. First-order logic, type systems, SAT/SMT, temporal logic (LTL/CTL) and model checking, pre/post-conditions, invariants, refinement. Sequential decision making. MDP/POMDP, dynamic programming, model-based RL, latent state-space (world) models, Monte-Carlo Tree Search. Strong command of at least one, working knowledge of a second: Formal languages, semantics and language engineering — grammars (context-free, attribute and graph grammars), derivation and reachability, parsing; abstract versus concrete syntax; operational and denotational semantics; metamodelling, model-driven engineering, model-to-model transformation, and projectional (structural) editing of the kind JetBrains MPS implements. We are asking for the education, not the tool: you should know why a projectional editor exists, what a metamodel buys you over a text grammar, and how a language evolves without breaking its existing models. Hands-on MPS experience is explicitly not required — we will teach it. Category theory for compositional systems — monoidal and traced monoidal categories, functors as semantic projections, string diagrams, operads. This is the language of our assembly algebra. Causal inference — structural causal models, do-calculus, counterfactuals, identifiability. Required for the "what happens if we replace this technology / move on-premises" class of questions, which similarity search alone cannot answer. Queueing theory and applied stochastic processes — M/M/1 and networks of queues, heavy tails, retries, timeouts, partial failure and reliability models. This is the resource and stochastic projection. Combinatorial optimisation, constraint programming and program synthesis theory — CEGIS, version-space algebras, symmetry breaking, search heuristics. Representation learning theory — VAEs and latent dynamics, GNN expressiveness (Weisfeiler-Leman hierarchy), permutation equivariance, embedding migration under a changing vocabulary. Required hands-on programming skills This is an engineering-heavy PhD. We expect code that another person can clone, run and reproduce — not notebooks that worked once. Must have: Python (professional level). Type hints, packaging, `pytest`, profiling, `asyncio`, memory-aware data structures. You write unbuffered, logged, restartable long-running jobs by default. Training loops written from scratch, custom datasets and collation, mixed precision, multi-GPU; experiment tracking (W&B or MLflow), configuration management (Hydra), strict seed and artefact reproducibility. Graph machine learning. PyTorch Geometric or DGL — message passing, heterogeneous and typed graphs, graph transformers, handling graphs whose node vocabulary changes between versions. Solvers and verification tooling driven from Python. Z3 or cvc5 hands-on; demonstrated exposure to at least one model checker (TLA+/TLC, SPIN, NuSMV, Alloy) or proof assistant (Lean, Coq, Isabelle). Code as data. AST manipulation, `tree-sitter`, static analysis, dependency and interface graph extraction, large-scale repository mining. Parallel data pipelines. `multiprocessing`, Ray or Dask; checkpointing, heartbeats, cost estimation before launching a run that touches millions of files. LLM engineering. API orchestration, structured and grammar-constrained decoding, evaluation harnesses, token/cost accounting — with the discipline to treat model output as a hypothesis subject to formal checks. Linux, git, code review, shell. Desirable: Language tooling you have actually used: ANTLR, Xtext, Lark, or a parser, type checker or interpreter you wrote yourself. Our internal representation of gear syntax trees and graphs lives in JetBrains MPS — again, we do not ask for MPS experience, only that you are comfortable reading and extending a metamodel; Java/Kotlin literacy helps once you get there. JAX, or compiler / SAT-SMT internals. Infrastructure literacy — Docker, Kubernetes, Terraform, OpenTelemetry/Prometheus — since the resource projection is calibrated against real deployment telemetry. One systems language (Rust, Go or C++) for performance-critical search. Prior experience with production software architecture, or with a brownfield system you had to change without breaking. Funding The appointment provides full financial coverage through a dedicated fellowship, comprising: Monthly stipend of €1,650 Monthly research-cost allowance of €100 (Forschungskostenpauschale) Health-insurance subsidy of €100 per month Location: Bremen, Germany Duration: 3 years, full time Start date: November 2026 Application package must include CV, including publications, code, or research projects. Cover letter (1–2 pages) explaining your motivation, research interests, and fit with the project. A link to code you have written. A one-page research statement picking one open research question from the project and sketching how you would approach it. Master’s and Bachelor’s degree certificate and transcripts. Contact information for 2–3 academic referees. Applications are reviewed on a rolling basis. Shortlisted candidates will be invited to interviews.

Location: Hyderabad, India 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 looking for a Forward Deployed Engineer focused on migrations to join our growing team in India. You will help deliver complex, production-grade data migrations, integrations, and automations for customers across APAC. This is initially an internally focused, hands-on engineering role. You will partner closely with regional Forward Deployed Engineers, who own customer discovery, solution architecture, stakeholder communication, risk management, and final customer validation. You will own the behind-the-scenes technical execution layer from feasibility assessment and implementation through testing, production rollout, QA, reconciliation, reporting, and operational handoff. You will work across multiple customer environments and source systems, often with incomplete requirements, imperfect data, and real-world constraints. Success requires strong engineering fundamentals, sound judgment, careful validation, and the ability to turn one-off delivery work into reusable tools and repeatable playbooks. As a founding engineer in India, you will help build a new regional engineering capability from the ground up. You will create migration infrastructure, standards, and reusable tooling used by FDEs across APAC, while establishing practices that can scale globally. The role offers an opportunity to become a technical authority for production migration delivery, shaping how Notion approaches reliability, validation, and operational quality across complex customer environments. As the team grows, the role may also expand toward customer-facing FDE work, technical leadership, or a deeper engineering path, depending on business needs and demonstrated capability. WHAT YOU'LL ACHIEVE: - Own the technical execution layer after customer requirements, scope, and solution architecture have been established with the regional FDE. Contribute to feasibility assessment, estimation, implementation planning, and risk identification while the regional FDE remains accountable for customer discovery, scope, architecture, stakeholder communication, and final acceptance. - Apply a repeatable migration lifecycle covering source inventory and sampling, scope and pruning decisions, compatibility and degradation assessment, transformation design, pilot or dry run, user acceptance testing, production cutover, reconciliation, remediation, hypercare, and documented handoff. - Translate approved customer and regional FDE requirements into clear technical designs, implementation plans, test strategies, runbooks, and delivery estimates. - Build production-quality migration utilities, backend services, data pipelines, integrations, and automations using Python, SQL, APIs, databases, and cloud infrastructure. - Investigate source-system behavior, data quality issues, permissions, rate limits, authentication constraints, and edge cases, then recommend practical solutions. - Design and validate permissions, ownership, and inheritance mappings against the approved migration plan. Make unsupported or ambiguous access requirements explicit, obtain the required decision or approval, and preserve evidence of validation. - Design migrations for reliability, scale, security, observability, idempotency, failure recovery, and safe reruns. - Execute migrations only through approved environments, devices, accounts, and tooling. Follow least-privilege access, customer-specific security and data-residency requirements, and approved handling procedures. Do not store customer data in unmanaged local or external systems, and escalate privacy, security, or sovereignty concerns before execution. - Build validation and reconciliation frameworks that provide clear evidence of migration completeness, accuracy, and exceptions. - Debug failures across application code, infrastructure, customer data, third-party systems, and the Notion platform, then drive issues through resolution. - Manage multiple implementation workstreams, dependencies, and priorities while communicating scope, progress, risks, and trade-offs clearly. - Surface scope changes, unsupported requirements, timeline risks, and material effort increases early. Document assumptions and trade-offs, and escalate with options and a recommended path rather than silently absorbing additional work. - Maintain an auditable record of scope, decisions, risks, approvals, validation evidence, and customer acceptance criteria in the agreed shared workspace or channel. - Convert repeated delivery patterns into reusable components, automation, documentation, and playbooks that improve speed, quality, and cost over time. - Bring field learnings back to Notion's Product and Engineering teams as actionable platform feedback and technical requirements. SKILLS YOU'LL NEED TO BRING: - 3 to 6 years of hands-on experience in backend engineering, data engineering, integration engineering, implementation engineering, technical consulting, solutions engineering, or a similar technical role. - Strong hands-on Python development experience. - Working experience with Node.js, JavaScript, or TypeScript. - Strong SQL skills and a solid understanding of relational databases, data modeling, and data transformation. - Experience working with REST APIs, JSON, authentication, webhooks, and system integrations. - Experience owning a production migration, integration, or technical implementation through mapping, transformation, testing, rollout, validation, and handoff. - Experience taking a technical problem from requirements and design through development, testing, deployment, and production operation. - Experience with Git, code review, automated testing, release practices, and production deployment. - Strong debugging, analytical, and problem-solving skills across code, data, infrastructure, and external systems. - Evidence of working on production systems, not only prototypes or proof-of-concept projects. - Clear written and verbal English communication, with the ability to explain technical decisions, constraints, and risks to technical and non-technical stakeholders. - High agency and ownership. You are comfortable making progress with incomplete information, challenging assumptions, and escalating with options and a recommendation. NICE TO HAVES: - Experience with Docker, Kubernetes, CI/CD, job orchestration, or infrastructure automation. - Experience with AWS, GCP, or Azure. - Familiarity with message queues, event-driven systems, distributed-system patterns, retries, concurrency, and rate limits. - Experience with monitoring, logging, alerting, or other observability tools. - Experience with enterprise SaaS applications, professional services, or large-scale customer implementations. - Experience migrating large volumes of content or structured data between enterprise platforms. - Experience with AI or LLM applications, retrieval-augmented generation, evaluation frameworks, or agentic workflows. - Familiarity with MCP, tool calling, Notion Workers, Custom Agents, or similar extensibility platforms. - Experience working with distributed global or APAC teams. WHAT SUCCESS LOOKS LIKE: In your first 90 days, you will: - Learn Notion's migration and implementation ecosystem, engineering standards, and APAC delivery model. - Establish a productive working rhythm with regional FDE partners. - Contribute to at least one migration or integration workstream through production delivery. - Leave behind clear technical documentation, validation evidence, and an operational runbook. Within your first six months, you will: - Independently own production migration or integration workstreams from technical design through rollout and handoff. - Deliver measurable improvements in migration turnaround time, validation quality, delivery cost, or regional FDE execution hours through reusable engineering. - Help establish repeatable quality controls, code review practices, runbooks, and observability patterns for the India team. - Demonstrate effective prioritization and communication across multiple concurrent APAC engagements. - Turn at least one repeated delivery pattern into a reusable tool, component, or playbook that is adopted by a subsequent engagement. LOCATION: This role is based in Hyderabad, India. 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. 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: Boston, MA Workplace: OnSite At WHOOP, we're on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. WHOOP is hiring an Associate Director of Electrical Engineering to lead electrical engineering execution across New Product Introduction (NPI) and Continuous Improvement (CI) for a WHOOP hardware product line. You will lead a team of electrical engineers responsible for bringing new hardware from development through production and continuously improving products already in the field. As the electrical engineering leader for the product line, you will ensure strong technical execution, drive cross-functional alignment, and build a team that delivers reliable, high-quality hardware at scale. RESPONSIBILITIES: - Lead, build, and develop the Electrical Engineering team responsible for NPI and Continuous Improvement across a WHOOP product line, establishing clear ownership, priorities, and accountability. - Own EE execution across the full product lifecycle, from early concept and requirements definition through design, validation, manufacturing ramp, sustaining, and continuous improvement. - Set technical direction and drive engineering excellence across electrical architecture, circuit design, component selection, design reviews, validation, and failure analysis. - Lead the EE team through key development milestones, proactively identifying technical and execution risks and ensuring issues are resolved with rigor and urgency. - Partner closely with Mechanical, Firmware, Systems, Battery, Manufacturing, Quality, Supply Chain, and Product teams to drive system-level decisions and deliver against product requirements. - Build a high-performing EE organization by hiring and developing engineers, strengthening technical leadership, and ensuring the team has the capabilities and resources needed to deliver. - Establish and continuously improve EE processes, tools, documentation, and development practices that increase engineering quality, efficiency, and scalability across the product lifecycle. QUALIFICATIONS: - 10+ years of electrical engineering experience developing complex hardware products, with 4+ years experience leading engineers or technical teams. - Deep knowledge of electrical engineering fundamentals, including circuit design, PCBAs, power architecture, component selection, design validation, and failure analysis. - Experience bringing high-volume hardware products through NPI, manufacturing ramp, and sustaining engineering. - Strong cross-functional leadership skills and experience partnering with engineering, manufacturing, quality, supply chain, and external manufacturing partners. - Proven ability to develop engineers, establish clear technical direction, and create effective engineering processes in fast-moving environments. - Preferred: experience with consumer electronics, wearables, or similarly integrated and space-constrained hardware products. - Strong commitment to embracing and leveraging AI tools in day-to-day tasks, ensuring AI-assisted work aligns with the same high-quality standards as personal contributions.

Location: Spain; Serbia; Poland; Portugal; Budva, Montenegro Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks. In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company. We are looking for a Dev Manager to lead the engineering team responsible for endpoint configuration management capabilities. You will combine engineering leadership with hands-on technical expertise to help customers define desired configurations, apply changes safely, and maintain consistent settings across their environments. Lead and develop a team of engineers, providing technical direction, mentoring, and regular feedback. Own delivery outcomes within the agreed scope, provide practical estimates, and make capacity and priority tradeoffs visible. Work with Product Management and EVP to define priorities and translate customer needs into executive reporting capabilities. Oversee the design, development, and maintenance of configuration management features, including: Configuration policies, templates, and reusable settings, including CIS Benchmark-based baselines. Assessment of endpoint configurations against supported baselines and reporting of deviations. Endpoint targeting, grouping, and policy assignment. Configuration discovery and comparison with desired state. Detection and remediation of configuration drift. Validation, staged rollout, and rollback of configuration changes where supported. Configuration status reporting, change history, and audit trails. Guide technical decisions within the assigned domain from solution design through development and production rollout, coordinating cross-cutting architecture and security decisions with their designated owners. Establish clear definitions for metrics, reporting periods, data freshness, and missing data so customers can interpret results accurately. Coordinate with Product Value and core engineering teams on source data, reporting content, access controls, and shared infrastructure. Own automated pipelines for building, testing, validating, and deploying reporting services.\ Apply AI technologies where they improve development Requirements What we're looking for Experience leading software engineers and owning the delivery and operation of production systems. Strong software engineering fundamentals and the ability to guide architecture and contribute to technical problem-solving. Excellent knowledge of Node.js, JavaScript, TypeScript, and Python. Experience building and operating AWS services in production. Hands-on experience with endpoint management, configuration automation, or systems that enforce desired state. Understanding of operating system configuration, policy evaluation, idempotent operations, and safe change execution. Experience designing systems that handle intermittent connectivity and partial failures. Strong communication skills and the ability to align engineering work with product priorities. Professional working proficiency in English for leading an English-speaking team and collaborating across functions. Nice to have Experience writing automated tests for configuration changes and remediation workflows. Proficiency in SQL. Experience with PowerShell and Windows administration. Experience with runtime isolation and sandboxing for sensitive execution. Experience in B2B SaaS, security, compliance, or data governance. Experience building high-load products with numerous endpoints. Experience with CIS Benchmarks, configuration baselines, policy versioning, and auditability. Benefits Fully remote work, giving you the flexibility you need in the modern world. A collaborative environment encouraging you to own your domain and implement best practices. Stable income, benefits, flexible working hours, and opportunities for promotion. Friendly and professional peers, eager to help and help you grow. A multitude of interesting challenges and opportunities.

Location: United States Action1 is an autonomous patch management platform trusted by many Fortune 500 companies. Cloud-native, infinitely scalable, highly secure, and configurable in 5 minutes, it just works and is always free for the first 200 endpoints, with no functional limits. By pioneering autonomous OS and third-party application patching, Action1 helps organizations eliminate routine work, reduce ransomware and security risks, and protect the digital employee experience. It provides real-time vulnerability assessment and remediation across remote and on-site endpoints without requiring a VPN, while peer-to-peer patch distribution reduces bandwidth use on local networks. In 2026, Action1 was recognized as the fastest-growing founder-led cybersecurity company in America on the Inc. 5000. Action1 is led by industry veterans Alex Vovk and Mike Walters, American entrepreneurs who founded Netwrix, which has grown into an industry-leading, multibillion-dollar cybersecurity company. We are looking for a Dev Manager to lead the engineering team responsible for endpoint configuration management capabilities. You will combine engineering leadership with hands-on technical expertise to help customers define desired configurations, apply changes safely, and maintain consistent settings across their environments. Lead and develop a team of engineers, providing technical direction, mentoring, and regular feedback. Own delivery outcomes within the agreed scope, provide practical estimates, and make capacity and priority tradeoffs visible. Work with Product Management and EVP to define priorities and translate customer needs into executive reporting capabilities. Oversee the design, development, and maintenance of configuration management features, including: Configuration policies, templates, and reusable settings, including CIS Benchmark-based baselines. Assessment of endpoint configurations against supported baselines and reporting of deviations. Endpoint targeting, grouping, and policy assignment. Configuration discovery and comparison with desired state. Detection and remediation of configuration drift. Validation, staged rollout, and rollback of configuration changes where supported. Configuration status reporting, change history, and audit trails. Guide technical decisions within the assigned domain from solution design through development and production rollout, coordinating cross-cutting architecture and security decisions with their designated owners. Establish clear definitions for metrics, reporting periods, data freshness, and missing data so customers can interpret results accurately. Coordinate with Product Value and core engineering teams on source data, reporting content, access controls, and shared infrastructure. Own automated pipelines for building, testing, validating, and deploying reporting services.\ Apply AI technologies where they improve development Requirements What we're looking for Experience leading software engineers and owning the delivery and operation of production systems. Strong software engineering fundamentals and the ability to guide architecture and contribute to technical problem-solving. Excellent knowledge of Node.js, JavaScript, TypeScript, and Python. Experience building and operating AWS services in production. Hands-on experience with endpoint management, configuration automation, or systems that enforce desired state. Understanding of operating system configuration, policy evaluation, idempotent operations, and safe change execution. Experience designing systems that handle intermittent connectivity and partial failures. Strong communication skills and the ability to align engineering work with product priorities. Professional working proficiency in English for leading an English-speaking team and collaborating across functions. Nice to have Experience writing automated tests for configuration changes and remediation workflows. Proficiency in SQL. Experience with PowerShell and Windows administration. Experience with runtime isolation and sandboxing for sensitive execution. Experience in B2B SaaS, security, compliance, or data governance. Experience building high-load products with numerous endpoints. Experience with CIS Benchmarks, configuration baselines, policy versioning, and auditability. Benefits Fully remote work, giving you the flexibility you need in the modern world. A collaborative environment encouraging you to own your domain and implement best practices. Stable income, benefits, flexible working hours, and opportunities for promotion. Friendly and professional peers, eager to help and help you grow. A multitude of interesting challenges and opportunities.

Location: Los Angeles, CA Workplace: onsite About Spin.AI Spin.AI is a global SaaS security company based in Palo Alto, CA, protecting enterprises from SaaS ransomware, Shadow IT, non-compliance, data loss, and data leak disasters in the cloud. SpinOne is an all-in-one SaaS data protection platform built for mission-critical applications such as Google Workspace, Microsoft 365, Salesforce, Slack, and Atlassian. We deliver the most innovative last line of cyber defense, along with SaaS data management and protection, for more than 2,000 organizations worldwide. Learn more at https://spin.ai/ About this Role Spin.AI is hiring a salesforce developer and systems architect to lay the foundation for the GTM business systems function. This is a foundational role: you will own the technical architecture, development, integrations, and ongoing evolution of Salesforce and the broader GTM systems ecosystem. You’ll work directly with Sales, Marketing, Finance, and executive leadership to turn business requirements into scalable systems, automation, and reliable data. This role reports directly to the SVP Finance and is based in our Glendale, CA office. What You'll Do: Advanced Salesforce Automation & Custom Development Design, build, optimize, and troubleshoot complex Salesforce Flows (Screen Flows, Record-Triggered Flows, and Scheduled Flows). Write, maintain, and debug custom Apex code (Triggers, Classes, Controllers, Batch/Scheduled Apex) adhering to Salesforce design patterns and governor limits. System Integration (GTM & Finance) & API Management Build and maintain the integrations between Salesforce and key GTM/Finance Systems, specifically ensuring data syncs correctly with HubSpot (Marketing), Stripe (Billing), and Google Sheets (Reporting) Architect, build, and maintain secure, scalable REST/SOAP API integrations connecting Salesforce with internal systems and third-party SaaS solutions. Troubleshoot data synchronization issues, webhook failures, and integration errors across external platforms. Salesforce Deployment & Release Management Manage code and configuration deployment pipelines across lower environments (Developer/Full Sandboxes) to Production using Change Sets or DevOps tools. Perform regression testing, impact analysis, and deployment troubleshooting to ensure minimal disruption to business operations. Salesforce Administration & Org Management Perform day-to-day Salesforce administration, including user management, profiles, permission sets, role hierarchies, and sharing rules. Maintain system hygiene, data integrity, custom objects, page layouts, validation rules, and standard reports/dashboards. Oversee sandbox management, including creation, refreshing, and maintaining data seeding across environments. Sales Operations & Stakeholder Collaboration Partner directly with Sales Operations, Sales, Marketing and Finance teams to translate business requirements into scalable technical architecture and process automation. Serve as the primary technical advisor on Salesforce capabilities, platform limitations, and best practices. Maintain documentation for key operational processes and policies Ensure CRM hygiene and reporting accuracy across all systems Required Technical Skills & Certifications: Salesforce Development: Strong proficiency in Apex, SOQL/SOSL, Visualforce, and Lightning Web Components (LWC). Process Automation: Expert-level mastery of Salesforce Flows, including complex logic, fault paths, and flow optimization. Integrations: Solid hands-on experience with REST/SOAP APIs, JSON/XML, authentication protocols (OAuth 2.0), and middleware/connector tools. Administration & Security: Deep understanding of the Salesforce security architecture (OWD, Sharing Rules, Field-Level Security) and standard platform configuration. Environment Management: Demonstrated experience managing Salesforce sandboxes, data migration, and deployment practices (Change Sets, Salesforce CLI, or CI/CD pipelines). Salesforce Certified Administrator Salesforce Certified Platform Developer I Bonus: Salesforce Certified Platform Developer II or Application Architect) and JavaScript experience Preferred Experience: B.S. in Computer Science or equivalent or proven years of experience 8+ years of software development experience 5+ years of Salesforce platform engineering experience Ability to communicate complex topics with precision and accuracy Monitoring and alerting setup for Salesforce applications and integrations Familiarity with application programming interfaces, data pipelines, Model Context Protocol servers, or integration platforms Deep experience implementing and developing in Apex and LWC Strong understanding of AI and generative AI technologies, with the ability to apply them to Salesforce development and systems workflows Experience working directly with business facing groups outside of development Experience working within an Agile team and DevOps culture Experience partnering with Sales, Marketing, Product teams in a high-growth environment Strong systems thinking with the ability to balance short-term execution needs against long-term architectural health Bonus: Passion or interest in cybersecurity Benefits: PTO 401k Paid Holidays Health Insurance Dental Insurance Vision Insurance Employee Wellness Program Great opportunity to work with amazing people Why Spin.AI? Inc. 5000 list for 2026! 🚀 Overall Ranking: #3,309 Industry Ranking: #107 Metro Ranking: #114 State Ranking: #463 Forbes Named Spin.AI One of America's Best Startup Employers THREE Years in a Row (2024- 2026) Work in a fast-moving, high-impact cybersecurity company recognized by Gartner, Forrester, and G2 . Collaborative, transparent culture – your ideas and experiments matter. Direct impact: your work translates into real business growth and visibility. Growth opportunities and performance-based rewards. Why join Spin.AI? This is an incredible opportunity to join a fast-paced team with high growth potential to become a new unicorn or decacorn within the next few years. Dream team of highly motivated and talented people, ambitious goals and challenges that require high analytical, management and communication skills.   EEO Statement Equal Opportunity Employer Spin.AI is proud to be an equal opportunity employer and is committed to maintaining a diverse and inclusive work environment. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, familial status, sexual orientation, pregnancy, genetic information, gender identity, gender expression, national origin, ancestry, citizenship status, veteran status, and any other legally protected status under federal, state, or local anti-discrimination laws.  View The EEO is the Law poster and its supplement.    Disability Accommodation For individuals with disabilities that need additional assistance at any point in the application and interview process, please contact our HR Manager, Shushan Akopian via shushan@spin.ai.

Location: Remote (United States | Canada) Workplace: Remote 1Password is growing. We’ve surpassed $500M in ARR and we’re continuing to accelerate, earning a spot on the Forbes Cloud 100 for four years in a row and teaming up with iconic partners like Oracle Red Bull Racing. About 1Password At 1Password, we’re building the foundation for a safe, productive digital future. Our mission is to unleash employee productivity without compromising security by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. We innovated the market-leading enterprise password manager and pioneered Unified Access Management, a new cybersecurity category built for the way people and AI agents work today. As one of the most loved brands in cybersecurity, we take a human-centric approach in everything from product strategy to user experience. Over 180,000 businesses, from Fortune 100 leaders to the world’s most innovative AI companies, trust 1Password to help their teams securely adopt the SaaS and AI tools they need to do their best work. If you're excited about the opportunity to contribute to the digital safety of millions, to work alongside a team of curious, driven individuals, and to solve hard problems in a fast-paced, dynamic environment, then we want to hear from you. Come join us and help shape a safer, simpler digital future. As a Staff Security Engineer on Security Incident Response, you'll serve as a senior technical leader and builder for the team, helping shape both how we respond to incidents today and how our response capabilities evolve over time.This role is about advancing what the team is capable of, not just responding when something breaks. You'll design and build the AI-assisted systems that extend the team's reach, lead the response to the most complex incidents, and own programs that make the organization more prepared over time, from tabletop exercises and gamedays to the continued advancement of threat hunting and insider risk capabilities. You bring engineering depth, sound incident judgment, and the ability to plan, and deliver complex work against a longer-term maturity roadmap not just execute against a queue. This is a senior individual contributor role with organization-wide impact on how 1Password investigates, contains, and learns from security incidents. This role reports to the Manager, Security Incident Response. How we’re using AI today Our Engineering, Product, and Design teams are thoughtfully integrating AI across the full software and product development lifecycle to move faster without sacrificing quality or security. In practice, that looks like engineers using AI-assisted coding tools to accelerate reviews and catch bugs earlier, product managers synthesizing user research at scale, and designers rapidly prototyping and iterating with AI-generated mockups. We approach AI the same way we approach security: with clear principles, human accountability at every consequential decision point, and rigorous evaluation before anything ships to customers. This is a remote opportunity within Canada and the US. What we're looking for: - Significant experience leading complex, high-severity security incidents across multiple environments, including serving as an incident commander or equivalent technical lead. - Experience designing and building AI-assisted or agentic automation for security operations (triage, investigation, containment), with sound judgment about where automation should and shouldn't hold decision authority. - Strong software engineering skills, and experience building production tooling, automation, or systems rather than only operating existing security platforms. - Experience owning a security program or capability roadmap end to end, including planning, sequencing, and delivering multi-quarter work. - Strong understanding of cloud-native, SaaS, and identity-driven attack techniques and response approaches. - Experience designing and running tabletop exercises, gamedays, or comparable readiness programs and translating findings into improvements.. - Strong written and verbal communication skills, including the ability to represent technical tradeoffs to senior leadership and cross-functional stakeholders. - Experience mentoring engineers or otherwise raising the technical and investigative capabilities of a team. How you'll work: - You look for opportunities to build systems that scale the team's capabilities rather than relying on repeated manual effort, and you're interested in thoughtfully applying AI and automation where they can improve security outcomes. - An experienced incident commander who brings structure to complex incidents, makes sound decisions with incomplete information, and helps teams move forward during high-pressure situations. - You're comfortable taking ownership of a capability from strategy through execution, including defining priorities, sequencing work, navigating dependencies, and delivering against a longer-term roadmap. - You can operate as a technical partner to leaders and cross-functional teams, independently representing technical priorities, risks, and tradeoffs. - You value continuous improvement and contribute to an environment where teams can examine incidents, decisions, and failures openly and turn what they learn into stronger systems and practices. What you can expect: - Serve as incident manager and technical escalation point for complex, high-severity events, bringing structure, sound judgement, and clear decision-making under pressure. - Design and build AI-assisted and automated systems that improve how quickly and consistently the team can triage, investigate, and contain incidents. - Establish appropriate safety controls, approval gates, auditability, and rollback mechanisms for automated and AI-assisted actions, ensuring high-impact decisions remain appropriately human-controlled. - Own the team's readiness programs, including tabletop exercises and incident gamedays, from scenario design and execution through debriefing and translating finishes into concrete (or measurable) improvements - Advance the team’s threat hunting and insider risk capabilities by identifying opportunities, defining priorities, and delivering roadmap work that improves investigative depth and coverage - Plan, sequence, and deliver multi-quarter initiatives that mature the team's capabilities, bringing project management discipline to work that doesn't fit neatly into a sprint. - Mentor and provide technical leadership to other engineers, strengthening engineering rigor and investigative judgement across the team. - Partner with Security Operations, Product Security, and Engineering teams to close gaps surfaced through investigations, hunting, and simulations. - Foster psychological safety and blameless learning across incident retrospectives, gamedays, and tabletop debriefs. - Extend strong incident response practices beyond the immediate team by building reusable systems, tooling, and operating patterns that strengthen response capabilities across areas such as PSIRT, Privacy, and Engineering. USA-based roles only: The annual base salary for this role is between $192,000 USD and $278,000 USD, plus immediate participation in 1Password's benefits program (health, dental, 401k and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. Canada-based roles only: The annual base salary for this role is between $167,000 CAD and $242,000 CAD, plus immediate participation in 1Password’s generous benefits program (health, dental, RRSP and many others), utilization of our generous paid time off, an equity grant and, where applicable, participation in our incentive programs. At 1Password, we approach each individual's compensation with a promise of fair market value and internal equity commensurate with experience and specific skill set. This posting is for an existing vacancy. Our culture At 1Password, we prioritize collaboration, clear and transparent communication, receptiveness to feedback, and alignment with our core values: keep it simple, lead with honesty, and put people first. You’ll be part of a team that challenges the status quo, and is excited to experiment and iterate in search of the best solution. That said, 1Password is not for everyone https://blog.1password.com/inside-the-culture-powering-1passwords-next-chapter/. Our work is demanding, we strive for excellence, and the pace is fast. We need people who are keen to take on challenging problems, who seek feedback to grow, and who are driven to make an impact. If you're looking for a place where you can settle into a comfortable routine, this might not be the right fit for you. We’re looking for individuals who are proven experts in their fields, as well as those who are highly adaptable, can thrive in ambiguity and through change, are curious, and above all deliver results. How we work with AI We are committed to leveraging cutting-edge technology—including AI—to achieve our mission. We also understand that thinking critically about AI in its current forms will help us create better solutions for our customers and ourselves with its future forms, which will help us continue to close the gap between security and privacy and achieve our mission. We want team members at all levels to take the approach of actively learning AI best practices, identifying opportunities to apply AI in meaningful ways, and driving innovative solutions in their daily work. Embracing the future of AI isn't just encouraged—it's an essential part of how we will be successful at 1Password. This approach extends to our hiring process—candidates are welcome to use AI tools responsibly and thoughtfully during the application process. To us, this means we do ask that you join live interviews without using AI tools so we can get to know how you communicate, solve problems, and collaborate with others. Our approach to remote work We believe in the power of remote work, but recognize that in-person connection is important to help us achieve our mission. While we are a remote-first company, travel for in-person engagement is a part of almost all roles, and we require our employees to be ready and willing to take part. Frequency will depend on role and responsibilities, and may include, but is not limited to: annual department-wide offsites, team meetings, and customer/industry events. What we offer We believe in working hard, and rewarding that hard work through our benefits. While not an exhaustive list, here is a glance at what we currently offer: Health and wellbeing 👶 Maternity and parental leave top-up programs 🩺 Competitive health benefits 🏝 Generous PTO policy Growth and future 📈 RSU program for most employees 💸 Retirement matching program 🔑 Free 1Password account Community 🤝 Paid volunteer days 🏆 Peer-to-peer recognition through Bonusly 🌎 Remote-first work environment *Some roles in our GTM team are currently being hired for in-person hybrid work in Toronto and Austin. These roles will specify on the posting. You belong here. 1Password is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Be yourself, find your people and share the things you love. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at nextbit@agilebits.com and we’ll work to meet your needs. Remote work is a part of our DNA. Given that our company was founded remotely in 2005, we can safely say we're experts at building remote culture. That said, remote work at 1Password does mean working from your home country. If you've got questions or concerns about this, your talent partner would be happy to address them with you. Successful applicants will be required to complete a background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, publicly available social media, credit history, or other information, as permitted by local law. 1Password uses artificial intelligence (AI) and machine learning (ML) technologies, including natural language processing and predictive analytics, to assist in the initial screening of employment applications and improve our recruitment process. See here https://www.ashbyhq.com/downloadables/ashby-bias-audit-08-2024.pdf for the latest third party bias audit information. If you prefer not to have your application assessed using AI/ML features, you may opt out by completing this form https://jobs.ashbyhq.com/1password/automation-notice. For additional information see our Candidate Privacy Notice https://1password.com/files/candidate-privacy-notice.pdf.

Gray Swan is an American cybersecurity startup that protects artificial intelligence systems and large language models (LLMs) from hacker attacks, vulnerabilities, and failures. Work format: Remote (US only) or on-site in Pittsburgh, Boston, New York City, Philadelphia, San Francisco, or Seattle.

Gray Swan is an American cybersecurity startup that protects artificial intelligence systems and large language models (LLMs) from hacker attacks, vulnerabilities, and failures. Work format: Remote work (US only) or on-site (Pittsburgh).

Location: Remote, Global Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth. We are seeking a platform engineer to join our Edge & Networking squad. This team owns everything that happens at the network perimeter: API gateway, routing, load balancing, DNS, and secure global traffic distribution. You'll design, build, and operate systems that are both robust and highly automated — enabling us to to scale reliably while maintaining low latency and high availability across our global infrastructure. You will work closely with other infrastructure and product teams to ensure seamless integration, observability, and performance of our edge services. WHAT YOU’LL BE RESPONSIBLE FOR: - Help build and maintain the Supabase Cloud offering; - Design and implement Supabase’s global edge router platform; - Build programmable, API-driven routing logic to dynamically steer customer traffic; - Work with DNS, WAF, IP networking, TLS termination, CDN integrations, and global load balancing; - Implement advanced observability: relevant metric and log capturing, latency measurements, traffic shaping, routing health, and failure mitigation. - Optimize routing performance to minimize latency and improve reliability across cloud regions. - Collaborate cross-functionally with other teams to integrate networking solutions into the entire Supabase stack; - Improve our system architecture to reduce costs while balancing security, reliability, and performance; - Design CI/CD systems to speed up deployments with proper change and release management processes; - Participate in on-call rotations, incident response, and post-incident reviews for edge-related issues; - Resolve escalated support issues, while also identifying and resolving systemic issues across the platform. YOU MIGHT BE A FIT IF YOU HAVE: - 5+ years experience in SRE/DevOps/Cloud Infrastructure; - 4+ years experience building and operating high-scale networking or edge infrastructure; - Strong experience with HTTP, TCP/IP, TLS certificate management, CDN internals, load balancing, and global routing; - Proficiency with traffic proxies / routers (e.g., Envoy, NGINX, HAProxy, Traefik, or building your own); - Experience designing systems for high availability, failover, and real-time observability; - Strong software engineering skills (Go); - Strong debugging and troubleshooting skills across distributed systems; - Knowledge of IPv6, BGP, Anycast, or advanced routing protocols; - Experience in managing large deployments on AWS, GCP, Azure, or similar; - Comfortable with cloud networking primitives (AWS, GCP, Azure, or similar); - Experience with Infrastructure as Code tools (Pulumi preferred, Terraform/CDK etc also acceptable); - Experience with being part of on-call rotations for large production systems. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: India Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. About the role We operate a fleet of camera and sensor devices in the field at scale. They generate large volumes of recordings on removable media, and every recording has to reach cloud storage intact, correctly identified, and traceable back to the exact device, card and operator that produced it. This role owns the technical layer underneath that pipeline. Day-to-day offload is run by an operations lead and their team; you are the person who makes their work possible and correct. You own the ingest stations, the tooling that runs on them, the hardware fleet, quality control, and the standards everyone follows. When something fails in a way the operations team cannot resolve, it comes to you. It is hands-on. You will spend time at ingest stations, in the quality control area, and at deployment sites, and you will write scripts to make all of it less manual. It suits someone comfortable with a Linux terminal and a screwdriver in the same afternoon, who finds an unaccounted-for storage card genuinely intolerable. WHAT YOU’LL DO Own the ingest pipeline (the operations team runs it) - Build, configure and maintain ingest stations — hardware, operating system, tooling — and replicate that build reliably across locations - Own the ingest tooling in the field: deploy updates, fix what breaks, and carry requirements back to the software team - Define the verification and media lifecycle rules the operations team follows — what must pass before a card is released for reuse, and what happens when it doesn’t - Act as escalation for failed and partial ingests: determine whether the cause is media, device, station, tooling or procedure, and fix the underlying issue rather than the instance - Audit that the process is actually being followed, and close the gaps you find Own the hardware fleet - Maintain inventory of capture devices, memory cards and drives across locations, with full chain of custody - Run reconciliation and investigate discrepancies to root cause rather than writing them off - Specify and evaluate hardware — cards, readers, hubs, enclosures, drives — and manage returns and warranty claims with suppliers - Plan capacity: how many cards, how many drives, what rotation, with margin Quality control - Investigate recording failures with controlled tests rather than guesswork; isolate whether a fault sits in the device, the media, the station or the procedure - Decide what gets escalated, repaired or retired, and document the evidence behind the call - Define capture configuration standards and verify device settings in the field Support the teams - Be the technical escalation point for the operations lead, the quality control team and field operators - Train operators on tooling and hardware, and write procedures a new joiner can follow unsupervised - Travel to deployment sites as needed Report - Produce recording yield, data loss and operator performance reporting - Be able to say whether a bad number reflects a real failure or an artefact of how it was measured Automate - Write Python and shell scripts to remove manual steps from the workflow - Work with the software team on tooling requirements, and file precise bug reports when the software gets in the way WHAT WE’RE LOOKING FOR - A technical background — a degree in engineering or computer science, or equivalent hands-on experience. This is an engineering role that happens to involve hardware and field work, not a coordination role with a technical veneer - Comfort in Linux: mounting and formatting media, filesystems, permissions, scheduled jobs, reading logs - Working Python — enough to script a batch job, walk a directory tree, or call an API - Fluent use of AI tools — Claude, Claude Code, Cowork or equivalent — as part of how you work day to day. We expect you to use them to write scripts, investigate failures and draft procedures faster than you would alone, and to know where their output needs checking before it reaches a station or an operator - Hardware troubleshooting instinct: forming a hypothesis, testing it, eliminating causes one at a time - Real care about data integrity and chain of custody, and the discipline to follow a verification step even when it is inconvenient - Clear written English — you will write procedures other people depend on - Willingness to work with physical equipment and travel to sites - Comfort in an environment where the process may not exist yet and you are expected to define it NICE TO HAVE - Experience with cameras or sensor hardware - SQL, or experience querying an internal API for reporting - Storage systems — RAID, ZFS, network-attached storage administration - Prior work in data collection, field operations, logistics or laboratory operations - Barcode or asset-tracking systems

Location: India Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. About the Role We build and run the software platform behind a large-scale data collection and annotation operation: the system of record that tracks what was collected and by whom, the tooling annotators work in, the ingest integrations that move data from physical media into cloud storage, and the reporting that tells us whether any of it is working. These are internal systems with real users — operators in the field, annotators working through millions of items, ingest stations moving terabytes, and machine clients writing back automatically. They are small enough that you will own whole systems and serious enough that correctness matters: a duplicated record or a dropped identifier means data that can no longer be traced to what produced it. We want a strong generalist. You will design schemas, build APIs, write the interfaces on top of them, and deploy and debug the whole thing in production. Nobody here hands you a spec. WHAT YOU’LL DO - Design and build services end to end — schema, API, and the internal interfaces on top — primarily Python, FastAPI, PostgreSQL and React - Build a bunch of dashboards and internal web apps to track metrics, KPIs and deployments - Own data models where correctness is load-bearing: explicit table grain, immutable external identifiers, idempotent writes, derived rather than duplicated state - Build tooling for human review workflows, including putting model output in front of people to correct rather than having them start from scratch - Build and maintain integration surfaces for machine clients — automated processes that read and write over authenticated service endpoints - Deploy and operate on AWS (object storage, CDN, DNS, identity, load balancing), and lead debugging when something breaks across those layers - Do the performance work: query profiling, indexing, caching, and the aggregate views that keep reporting responsive - Work directly with the operations team — the people using what you build are down the hall, and their workflow constraints are the requirements WHAT WE’RE LOOKING FOR - Strong Python in production, with FastAPI or a comparable framework, and real PostgreSQL depth: schema design, indexing, query performance, migrations - Enough front-end capability to own the client as well as the server — React and TypeScript. You need not be a design specialist, but you should ship a usable internal tool without waiting for one - API design judgment: versioning, idempotency, batch endpoints, and failure semantics that return per-item results rather than failing everything - Data-integrity instincts. You should be able to explain why deriving a value beats storing a second copy of it, and why a client-generated identifier solves a retry problem - Ability to debug across boundaries — application, database, network, cloud service — and to isolate a fault to a layer before proposing a fix - Fluent use of AI tools — Claude, Claude Code, Cowork or equivalent — as a normal part of how you build. We care that you ship well with them and that you review what they produce: you own the code that lands, whoever or whatever drafted it - Comfort with ambiguity and ownership: choosing an approach, writing down why, and living with the consequences - Clear technical writing NICE TO HAVE - Serving or integrating model inference in a production path — batching, latency, versioning, handling low-confidence output - Annotation, labelling, or any human-in-the-loop review system - Clients that must tolerate unreliable connectivity and reconcile cleanly afterwards - Media or sensor data at scale — video pipelines, large binary object storage, structured time-series recording formats - Infrastructure as code, CI/CD, or observability — we are light here and would welcome someone who raises the floor - Tooling that exposes internal data to language models

Location: Madison Heights, United States Keller Executive Search is partnering with a global manufacturer of specialist engineered products that serve customers across healthcare, custodial and other regulated environments worldwide. The business is in an active growth phase and is investing in its US operation to match the standards of a mature international group. To lead that operation on the ground, our client is seeking a hands-on Warehouse and Transportation Manager for its site in Madison Heights, Michigan. This is a rare opportunity to own an entire US warehouse and transportation function end-to-end, from receiving and put-away through picking, packing, dispatch and national delivery. Reporting to the Head of Operations and forming part of the Site Leadership Team, you will be the single accountable leader for how high-value national shipments move: safely, accurately, on time and at controlled cost. You will shape the team, embed the systems and standards, and bring the site up to global standard. Across the industry, inventory accuracy and coordinated transportation are the biggest levers for on-time-in-full performance, and here you will own both. It is a role for a working manager who is as comfortable on the dock as in front of a KPI dashboard. With total responsibility for the function and a direct line into global leadership, the right person will find genuine autonomy, visible impact and a clear path toward a wider operations remit as the US business scales. Key Responsibilities Lead daily warehouse operations across receiving, inspection, put-away, storage, picking, packing and dispatch Set clear operating standards and coach the team to improve pick accuracy, productivity and right-first-time performance Optimize warehouse layout, slotting and workflows to reduce travel time, handling and avoidable delays Develop, implement and maintain effective standard operating procedures across all warehouse activities Own inventory accuracy through disciplined transaction control, cycle counting, stock audits and reconciliation of physical to system stock Investigate discrepancies, lead root-cause corrective action and reduce shrinkage, write-offs and manual exceptions Plan and manage US inbound and outbound transportation, including route, multi-stop and network planning Optimize transportation cost through route planning, load consolidation, carrier selection and performance management Manage carrier and third-party logistics relationships to agreed service, safety and compliance standards Monitor and improve on-time-in-full delivery, responding quickly to service failures and recurring issues Maintain a safe, organized and compliant operation, including risk reviews, incident investigations and audit-ready records Build, motivate and develop a high-performing team with clear roles, goals, standards and accountability Run the operation through TMS/WMS and shipping platforms as the system of record, producing reliable KPI reporting to the Head of Operations and Site Leadership Team Additional Information Permanent full-time role Onsite in Madison Heights, Michigan, reporting to the Head of Operations Domestic travel to suppliers, carriers or company locations as required, with flexibility to support operational priorities outside normal hours when necessary Must be eligible to work in the United States; relocation assistance is not offered To apply, submit your resume through this posting. Keller Executive Search manages this search on behalf of our client. Requirements Essential At least five years' experience in warehouse and transportation management, including direct team leadership Demonstrated experience managing high-value national shipments with accountability for value, carrier performance, tracking and damage/claims risk Background operating within a shipping, dispatch, warehouse-outbound, distribution or transportation department Hands-on use and ownership of transport and shipping software and systems (TMS, WMS, ERP shipping modules or carrier platforms) Strong track record of improving pick accuracy, inventory accuracy, productivity and on-time-in-full performance Sound knowledge of cycle-counting, inventory control and warehouse operating best practice Experience of US transportation planning, route optimization and managing carrier or third-party logistics relationships Practical knowledge of applicable US warehouse safety and transportation compliance requirements Confident using warehouse, inventory and performance data to identify issues, make decisions and deliver measurable improvement A hands-on, can-do leadership style that sets expectations, addresses underperformance and builds and follows process Professional English proficiency, spoken and written, to direct the team, coordinate carriers and work with global leadership Eligible to work in the United States and able to work onsite in Madison Heights, Michigan Preferred Experience configuring, implementing or optimizing WMS/TMS/ERP systems, not just operating them Experience in a fast-paced manufacturing, multi-site or high-SKU distribution environment Experience as the senior operations leader on a small US site within a larger global group reporting to remote leadership Background in regulated, audited or customer-critical shipping (medical device, security or specialty manufacturing) SOP authoring and warehouse layout, slotting or 5S optimization experience Lean Six Sigma, APICS/ASCM, CSCMP or comparable operations or supply-chain qualification Degree in supply chain, logistics, business or a similar field (not required) Ideal Candidate Profile You are a hands-on, accountable operations leader who thrives running the whole show on a lean single site. You are as comfortable clearing a jam on the dock as defending a KPI report to leadership, you own your numbers rather than explaining them, and you build and follow process instead of improvising. You have carried real accountability for high-value freight and for inventory that downstream teams depend on, and you are motivated by autonomy, visible impact and the chance to bring an operation up to a global standard. Benefits Base salary in the range of $60,000 to $90,000, with flexibility up to $100,000 for an exceptional candidate Annual bonus of up to 10% of base salary 401(k) retirement plan Healthcare coverage Public holidays plus 10 days of paid leave Total ownership of the US warehouse and transport function, with scope to shape the team and progress into a wider operations role Keller is a recruitment agency that provides services to clients ranging from startups and non profits to multinational corporations. Keller emphasizes ethical search processes, attentive candidate care, and leadership placements that support long-term client outcomes. To learn more about the firm and about our candidate services - please visit our website Equal Employment Opportunity and Non-Discrimination Policy Equal Employment Opportunity: Keller Executive Search and our clients are Equal Opportunity Employers. Qualified applicants receive consideration for employment without regard to race, skin color, religion, sex, sexual orientation, gender identity or expression, national origin, age, protected veteran status, disability, genetic information, or any other legally protected status. We are committed to a diverse, inclusive workplace and comply with all applicable federal, state, and local nondiscrimination laws governing recruiting, hiring, promotion, termination, compensation, training, and all other employment terms and conditions. Harassment Prohibited: Workplace harassment based on any protected characteristic listed above is expressly prohibited. Reasonable Accommodations: We provide reasonable accommodations to individuals with disabilities and pregnant individuals through an interactive process to identify effective accommodations. Compensation and Pay Equity: Compensation information for client roles is provided in the job post or, if not included there, during the interview process consistent with applicable law (including in Colorado, Nevada, New York City, California, and Washington). Actual salary depends on skills, experience, role, location, and internal comparisons. We conduct periodic pay equity analyses. Salary history is not requested in Rhode Island or New Jersey (unless voluntarily disclosed); Connecticut applicants receive wage range information upon request or before compensation discussions. Privacy: California residents may review our Privacy Policy at www.kellerexecutivesearch.com for details on personal information collected for recruiting and employment purposes. Veteran Status: We provide equal employment opportunities to veterans and comply with applicable state veteran preference laws. Veterans are encouraged to self-identify during the application process. E-Verify: Keller Executive Search and/or our clients may participate in E-Verify; details will be provided during the application process where applicable. Genetic Information: Consistent with federal and state law, we do not discriminate based on genetic information and do not request or require it except as permitted by law. Use of Artificial Intelligence in Recruitment: AI tools may be used to support, but never replace, human decision-making in reviewing candidate qualifications. AI is never used to automatically reject, disqualify, or make final hiring decisions. All AI-assisted evaluations are reviewed by qualified human recruiters, ensuring fairness, consistency, and compliance with our equal employment opportunity principles. Local Laws: We comply with all applicable local laws and ordinances governing employment practices in the jurisdictions where we operate. Note: This job posting may be for a position with Keller Executive Search or one of our clients. The specific employer will be identified during the application and interview process, and applicable employment laws may vary accordingly.

About KIRA Our mission is to make money smart, reliable and within reach for everyone. In 2019, we built the first mobile-first insurance platform accessible online by millions in Southeast Asia. Today, we are expanding to help people in Asia with spending, saving, investing, exchanging, travelling, and more, aiming to build tools for financial self-reliance using AI. The Role KIRA is building an AI Finance Superapp for Southeast Asia covering payments, remittance, insurance, wealth, and trading. These products handle real money, requiring reliability, regulatory compliance, and integration with third-party financial rails. The Technical Product Lead owns a product vertical end-to-end, from strategy and outcomes through technical design, delivery, and launch. AI is used where it genuinely improves outcomes, balanced with deterministic systems for reliability, auditability, and trust. What You'll Own — Own a product vertical end-to-end including strategy, metrics, roadmap, priorities, and delivery. — Shape technical design with engineering across APIs, data flows, ledgering, reconciliation, failure handling, security, and scalability. — Drive trade-offs across correctness, speed, cost, reliability, regulatory requirements, and user experience. — Build regulatory requirements into the product including KYC, transaction monitoring, limits, privacy, and licensing. — Apply AI with clear evaluation, safeguards, human oversight, and failure handling. — Ship products managing external dependencies like regulatory approvals, financial rails, and third-party partners. — Align Engineering, Design, Compliance, Operations, Treasury, and Finance around product decisions and launch requirements. What We're Looking For — 5+ years of product management experience owning complex technical products from strategy through production. — Strong technical foundation in system architecture, APIs, databases, workflows, failure modes, and distributed systems. — Experience working closely with engineers, able to review, challenge, and contribute to technical designs. — Experience in payments, banking, remittance, insurance, trading, or other regulated, high-consequence product domains. — Strong product judgment and ability to make difficult trade-offs under technical, regulatory, and operational constraints. — Experience building with LLMs or AI products, including evaluation, reliability, and understanding when AI should not be used. Nice to Have — Engineering or highly technical product background. — Experience building zero-to-one fintech or consumer products. — Experience defining evaluation frameworks for ML or LLM-powered products. Outcome — Clear vertical strategy and legible roadmap. — Ships fast and clears launch blockers. — Money is correct and users are never misled about their funds. — AI features are valuable, predictable, and trusted. — Trade-offs are deliberate and defensible. — Alignment across engineering, design, compliance, and operations with minimal friction. Location This is a remote role hiring globally, requiring effective collaboration across multiple countries and time zones. Language English is the main working language; strong English communication is required. Interview Process — Online assessment or practical task. — Technical interview. — CEO / final round. The process aims to complete within 1 week from start for strong candidates.

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Type: Full Time Internship (June 1, 2027 - August 31, 2027) The Role The Core Technology team develops the technologies that allow Nex Playground to use cameras, microphones, and other sensors to understand player movement and interactions in real time. As our Software Engineer Intern (ML Research, Core Technology) , you will explore and develop machine learning methods that expand what Nex Playground can perceive and understand. You may work on computer vision, audio, sensor fusion, or other sensing problems, taking ideas from research hypotheses through experimentation, evaluation, optimization, and working prototypes. You will collaborate with ML researchers and software engineers to build datasets and experimental workflows, evaluate ideas rigorously, and demonstrate promising technologies under real-world and on-device constraints. You will receive hands-on mentorship while owning a meaningful research project that contributes to our future products and technical direction. What You Will Do Develop and evaluate ML models and algorithms for computational perception and interaction. Design rigorous experiments, improve datasets, compare approaches, and understand failure modes. Build training and evaluation tools, and optimize promising models for real-time, on-device inference. Collaborate with researchers and engineers to prototype technologies on Nex Playground and communicate your findings. Should Have Must be currently enrolled in an undergraduate or graduate degree program at an accredited college or university. Strong interest in machine learning and enthusiasm for learning new methods and tools. Solid mathematical fundamentals and comfort with quantitative reasoning. Strong analytical and problem-solving skills. Programming experience in any language. A curious, systematic approach to learning through experimentation. Strong communication and collaboration skills. Nice To Have Experience with Python or familiarity with PyTorch, TensorFlow, or another ML framework. Interested in computer vision, audio processing, sensor fusion, or multimodal learning. Interested in model optimization, on-device inference, GPUs, NPUs, or resource-constrained devices. Interested in data curation workflows, or dataset quality analysis. Enthusiastic about games, interactive physical experiences, and helping people be active and healthy. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: San Francisco, CA, USA About the role Chime’s Machine Learning Platform (MLP) team builds and operates the infrastructure, tooling, and developer experience that powers machine learning across the company. We enable data scientists and ML engineers to develop, train, deploy, and monitor models reliably and efficiently. As a Senior Software Engineer on the Machine Learning Platform team, you will design and build scalable systems spanning traditional machine learning and emerging AI workloads, including model training, feature computation, real-time inference, foundation-model access, evaluation, and agentic orchestration. You’ll work at the intersection of distributed systems, cloud infrastructure, applied machine learning, and AI product engineering. This role focuses on creating secure, reliable, and reusable platform capabilities that help teams choose the right approach, from conventional predictive models to LLM-powered and multi-step agentic systems, while maintaining strong standards for evaluation, observability, governance, privacy, and cost efficiency. In this role, you can expect to Design, build, and operate scalable ML and AI infrastructure on AWS. Design and operate shared platform capabilities for LLM and agentic workloads, including model access, prompt and configuration lifecycle, retrieval, tool integration, state management, and workflow orchestration. Build evaluation frameworks for non-deterministic AI systems, including offline benchmarks, regression testing, online quality signals, human feedback, and failure analysis. Establish observability, reliability, and governance for models and agents, covering traces, model and prompt versions, tool calls, latency, token usage, quality, safety, privacy, and cost. Help teams make principled architecture decisions across traditional ML, LLM-powered applications, and agentic workflows, and contribute to the platform’s technical roadmap. Build distributed training, batch inference, and large-scale processing systems using frameworks such as Ray or Spark. Build and maintain infrastructure as code using Terraform. Support and evolve the feature store and feature pipelines. Develop data ingestion and streaming systems using technologies such as Kinesis, Kafka, Flink, or Spark. Improve CI/CD workflows for ML models, AI applications, and platform components. Partner closely with Data Science and ML Engineering teams to improve developer experience. Participate in on-call rotations to support production systems. To thrive in this role, you have Knowledge of the machine learning development lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring. Experience designing distributed systems and large-scale data or compute platforms on AWS using frameworks such as Spark or Ray. 5+ years of experience in ML or AI infrastructure, platform engineering, distributed systems, or production ML systems. Working knowledge of LLM application patterns such as retrieval-augmented generation, structured outputs, tool calling, agent orchestration, and evaluation of non-deterministic systems. Experience designing production systems that integrate ML or foundation models through reliable APIs, workflows, and data contracts. Hands-on experience with CI/CD pipelines, DevOps practices, and infrastructure as code. Experience with containerization and orchestration technologies such as Docker and Kubernetes. Strong programming skills in Python, Go, Scala, Java, or similar languages. Solid understanding of software engineering fundamentals, including testing, version control, code review, and observability. Nice-to-have Experience shipping LLM-powered or agentic systems to production. Experience with one or more of the following: model gateways, prompt lifecycle management, retrieval or vector search, tool execution, and agent orchestration frameworks. Experience building evaluation, tracing, and observability capabilities for non-deterministic AI systems. Familiarity with managed or self-hosted foundation model infrastructure, such as Amazon Bedrock, SageMaker, or equivalent platforms. Experience operating GPU-based workloads and optimizing training or inference performance and cost; CUDA experience is a plus. #LI-Onsite #LI-WW1 Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience. Wage Notice $187,000 — $259,000 USD A little about us At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential. We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members. We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential. Because if we don't—who will? *Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC. What we offer for our full-time, regular employees 🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location. 💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees. ✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life. 🏝 Generous vacation policy and company-wide paid days off 🫂 1% of your time off to support local community organizations of your choice 👟 Annual wellness stipend to use towards eligible wellness related expenses 👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents 👪 Access to family planning reimbursement 💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress We know that great work can’t be done without a diverse team and inclusive environment. That’s why we specifically look for individuals of varying strengths, skills, backgrounds, and ideas to join our team. We believe this gives us a competitive advantage to better serve our members and helps us all grow as Chimers and individuals. Chime is proud to be an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, genetic information, veteran status, or any other legally protected basis under provincial, federal, state, and local laws, regulations, or ordinances. We will also consider qualified applicants with criminal histories in a manner consistent with the requirements of state and local laws, including the San Francisco Fair Chance Ordinance, Cook County Ordinance, NYC Fair Chance Act, and the LA City Fair Chance Ordinance, and consistent with Canadian provincial and federal laws. If you have a disability or special need that requires accommodation during any stage of the application process, please contact: accommodations@chime.com . To learn more about how Chime collects and uses your personal information during the application process, please see the Chime Applicant Privacy Notice .

Location: Mapbox UK Workplace: Remote Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 4 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers.  As AI becomes embedded in modern engineering workflows, we value engineers who can thoughtfully integrate AI into design, development, and decision-making. Our interview process will include discussion of how you use AI in your engineering workflow. WHAT YOU'LL DO This role is scoped by skill rather than by product. The problems below span multiple departments and show up across our Search and Places data work, our Location and Navigation Intelligence work, and the Platform work that makes Mapbox usable by agents. You'll be hired into one specific team or product area, but you'll work across teams where your expertise meets the highest-priority AI problems. You should expect to move between teams and tech stacks as the work demands. At this level you own the technical design and delivery of a multi-component AI system, and you are accountable for the quality of what ships in your area. IN THIS ROLE, YOU WILL: - Define how the products you own should work, build a measurement framework for it, and build evaluation systems for non-deterministic behavior. Formulate hypotheses around the products we build and seek the signal needed to validate them. Define what a correct result is for a given input and state, determine whether to assemble datasets from real usage or hand-written cases, and gate changes on regression results. - Run continuous evaluation of the products we build, whether APIs, SDKs, data representations, or reference applications, from the position of the end user, whether developer, agent, or consumer. Assess the gaps such as misuse of parameters or integration anti-patterns, recommend the fixes, and make sure they land. - Own the MVP against an agreed north star technical design, and balance technical perfection against shipping useful increments. - Build data pipelines and the tooling around them: ingestion, conflation, entity resolution, quality checks, and the batch and streaming jobs that keep a large dataset current. - Track and pull external datasets, models, and benchmarks from published research and open-source releases. Evaluate what fits the problem and constraints , and decide when to adopt what exists versus build your own. - Design feedback loops so that using a product generates data that improves it. Instrument systems so failures arrive with enough context to reproduce, then turn the recurring ones into evaluation cases. - Design the boundary between a model and the tools it calls. Build or improve the model harness, decide what the model handles, what it delegates, and how to keep it working from the state it actually fetched. - Work to a latency and cost target per request: streaming, partial results, caching, model routing, prompt structure. - Build the internal harnesses and tools (CLI, MCP, and others) your team needs to iterate quickly, and share the parts that generalize with other teams. - Raise the bar on your team through code and design review, and bring other engineers up on eval practice. - Some of the technical questions in this area are still open. You will help answer them. - Participate in an on-call rotation to ensure our systems remain available to customers 24/7. Team members alternate as the on-call primary responder, which may require immediate response outside normal working hours, including weekends. WHAT WE BELIEVE ARE IMPORTANT TRAITS FOR THIS ROLE - Bachelors degree in STEM discipline and 5+ years of software engineering experience, with production ownership of services, pipelines, or SDKs. - 2+ years shipping LLM-backed features to real users, in systems that carried error budgets, on-call rotations, and customers who noticed regressions. - Direct experience or deep understanding of designing evaluations for non-deterministic systems. You can describe a dataset you built and the failure it caught. - Data engineering depth: SQL, at least one distributed processing framework, and experience with pipelines where a wrong record mattered more than a slow one. - Fluency with tool calling and agent orchestration, including the failure modes: stale context, hallucinated arguments, silent partial success, unbounded loops. - Working knowledge of more than one agent harness, and opinions about where each of them is weak. - Strong Python or TypeScript, and comfort reading code in whatever language the caller happens to be written in. - Experience diagnosing latency in a distributed request path. - Comfort with ambiguity, and the judgment to ship something narrow that works while the general solution is still unclear. - Clear written communication. Mapbox is distributed across time zones and we make most decisions in documents and Slack. NICE TO HAVE TRAITS FOR THIS ROLE - Geospatial data experience: routing, geocoding, POI or address data, OpenStreetMap, or conflation of overlapping sources. - Public API or SDK design experience, particularly for developers you never talk to. - Experience building against MCP or similar tool transports. - Experience running evals in CI, with a commercial harness or one you built. - Automotive, in-vehicle infotainment, CarPlay, or Android Auto experience. - Voice pipeline experience: streaming ASR, TTS, barge-in, endpointing, wake word. - Work under constrained compute, offline, or intermittent connectivity. - Experience operating a product through its first external integrations, where the customer finds the gaps before you do. WHAT WE VALUE In addition to our core values https://www.mapbox.com/about/values/, which are not unique to this position and are necessary for Mapbox leaders: - We value high-performing creative individuals who dig into problems and opportunities. - We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people. - We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company. - We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.   HOW WE SUPPORT YOU - Hybrid/Remote Options: Enjoy flexibility to work comfortably from home or periodically from an office where applicable. - Country-Specific Care & Coverage: Private health, dental, and income protection plans tailored to elevate your regional statutory benefits. - Family-First Support: Family care, maternity and paternity leave policies to support your growing family. - Lifestyle Spending Account: Contributions to support your health, wellness, and personal growth - Balance & Brainpower: Mental health support for you and your dependents. - Rest & Recharge: Paid time away, company holidays, and generous absence policies. - Time Off to Give Back: Dedicated paid volunteering time in addition to your standard PTO. By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice https://www.mapbox.com/legal/applicant-privacy-notice/ for applicants, which is linked here. Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. We are committed to a fair and equitable hiring process. We do not discriminate against any protected class. #LI-Remote