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Location: United Kingdom; United States; Poland; Bulgaria Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for a Research Engineer to join the research team at ElevenLabs, focused on large-scale web crawling for our frontier AI models. The quality of our models is bounded by the quality and scale of the data behind them, and you will own the crawling systems that source world-class data from the open web. You will thrive in this role if you enjoy: - Building and operating large-scale, distributed web crawlers that discover, fetch, and extract data across billions of pages reliably and efficiently. - Solving hard crawling problems such as content extraction from messy HTML, deduplication at web scale, freshness and recrawl strategies, and politeness and rate-limit handling. - Designing targeted crawling pipelines that find high-value data sources, including audio, video, and multilingual content, and turn them into clean training-ready datasets. - Creating tooling and infrastructure that lets researchers request, monitor, and explore newly crawled web data quickly and reliably.   REQUIREMENTS We do not require any formal certifications or degrees. Instead, we are seeking enthusiastic engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. Ideally, you bring: - Hands-on experience building and scaling web crawlers or scraping systems, ideally in support of machine learning training data. - Strong engineering skills in distributed systems at scale (e.g., Kubernetes, queue-based architectures, or custom pipelines processing billions of documents). - The capacity to autonomously evaluate the quality, coverage, and compliance of crawled data, and to build the tooling to measure it.   LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw.   #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: London & San Francisco Workplace: onsite THE OPPORTUNITY We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and multinational enterprises. Every one of those deployments involves custom engineering: integrating with the customer's coding agents and security stack, running in their cloud or on-prem environment, and tuning monitors to their workflows. We are looking for a Forward Deployed Engineer to own that work end to end. You will be the technical face of Watcher to customers across the entire lifecycle: running technical evaluations and POCs with prospects, deploying Watcher into customer environments, building the integrations and custom capabilities they need, and providing white-glove support that turns early customers into long-term partners. You are an engineer first. When a customer needs something, your default is to build it, and then to work with the product team to decide what becomes part of the core product. This is truly a "start-up role." You will be one of the first dedicated customer-facing engineers, you will have significant say in shaping how Apollo deploys and supports Watcher, and you can earn more responsibility quickly. As we grow, this role can develop toward leading forward-deployed engineering, solutions architecture, or core product engineering, depending on your interests. KEY RESPONSIBILITIES Deployment and integration engineering (~40%) Own customer deployments end to end: cloud, on-prem, and self-hosted backends, from architecture discussion through production rollout. Build integrations between Watcher and customer environments: coding agent setups (Claude Code, Codex, Cursor), SIEM and security operations tooling, identity and access systems, CI/CD pipelines. Configure and tune monitors, policies, and permissions for each customer's workflows, and validate that monitoring quality holds on their real traffic. Debug issues in environments you don't control, often under time pressure, and drive them to resolution with the product team. Pre-sales and technical evaluation (~30%) Run technical evaluations and POCs with prospects: scope the pilot, deploy Watcher on their agent traffic, and demonstrate concrete value (caught failures, security coverage, developer experience). Serve as the technical counterpart to security and engineering leaders during evaluations: answer architecture and security questions, run demos on the prospect's actual use cases rather than canned examples. Work with our AI Security & Control Engineer on security questionnaires, architecture reviews, and customer pen-test support during procurement. Feed honest signal back into the team about why deals progress or stall technically. White-glove support and product feedback (~30%) Be the named technical contact for key customers. Own their escalations, incident communication, and feature requests. Build customer-specific capabilities where warranted, and drive the "should this be product?" conversation with the Engineering Manager and product engineers so one-off work compounds into the roadmap. Turn deployment experience into leverage: documentation, deployment tooling, and runbooks that make every subsequent deployment faster and less bespoke. Represent the voice of the customer in planning: you will know better than anyone what real security and platform teams need from Watcher. REPRESENTATIVE PROJECTS Land a lighthouse enterprise: Run a POC for a large enterprise with a strict security posture: scope the pilot with their security team, stand up a self-hosted backend inside their infrastructure, integrate with their SIEM, tune monitors on their traffic, and present results that convert the pilot into a production contract. Build a reusable deployment path: After your first several deployments, turn the bespoke steps into a repeatable, documented, partially automated deployment package (infrastructure templates, integration modules, validation checks) that cuts time-to-production for new customers by more than half. Ship a customer-driven capability into the product: Take a recurring customer request (e.g. a custom alert routing scheme or a new agent integration), build it for the customer who needs it, generalize it with the product team, and ship it as a core Watcher feature. Rescue a wobbly account: A customer's monitors are noisy, their engineers are annoyed, and their security lead is questioning the renewal. Diagnose the root causes of their traffic, retune the configuration, fix the underlying issues with the product team, and win back their confidence. JOB REQUIREMENTS Must-haves Strong engineering foundation. 3+ years building and shipping production software. You can work across the stack (Python and TypeScript primarily), read unfamiliar code fast, and are comfortable with cloud infrastructure, networking basics, and deployment tooling. You will regularly build under constraints you don't choose, in environments you don't control. Genuinely good with customers. You communicate clearly with both hands-on engineers and security leadership, you stay calm and constructive when something is on fire, and customers come away trusting you. This is not a tolerance requirement; you should like this part of the job. High agency and ownership. When a customer is blocked, you don't wait for a ticket to be routed. You find the problem, fix it or escalate it with a proposed solution, and follow through until it's resolved. Startup pace. You are excited about a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters, including occasionally at customer-driven hours. Judgment on custom vs. core. You can tell the difference between a request worth building bespoke, a request that should become a product, and a request to push back on, and you can deliver that pushback to a customer gracefully. Strong written communication. Deployment docs, incident updates, and POC reports need to be clear and precise. Comfortable leveraging AI heavily for engineering and customer work, while holding the output to a high standard. Strong nice-to-haves Prior FDE, solutions engineering, or professional services experience, especially at a developer-tools, security, or infrastructure company. Experience deploying software into enterprise environments: on-prem, VPC deployments, SSO/identity integration, security reviews, procurement processes. Familiarity with the enterprise security stack (SIEM, DLP, endpoint tooling) and with how security teams evaluate vendors. Experience with coding agents as a power user or builder. You have used Claude Code, Codex, Cursor, or similar tools heavily, or built agent tooling yourself. Pre-sales exposure: you have run POCs or technical evaluations and know how to demonstrate value on a prospect's terms. Willingness to travel occasionally to customer sites. Explicitly not required Formal AI safety background. We need excellent customer-facing engineers who can learn the AI safety context. Sales experience or quota history. You support deals technically; you don't carry a number. Deep expertise in every technology we use. We care about demonstrated ability to learn fast in unfamiliar environments, which is the core skill of this job. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco : $222,000 - $290,000; London : £149,000 - £195,000. We will be looking to meaningfully raise salaries soon. Our engineers effectively have an unlimited token budget. If a better result costs more compute, use it. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation: Full-time Location: This is an in-person role working out of our London or San Francisco office, with occasional travel to customer sites. We offer flexible working hours and some wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM The product team consists of product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; research scientists: Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov; and our GTM lead: Kyle Dai. Marius Hobbhahn (CEO) advises the team. Furthermore you will interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.  We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, a take-home test (3 hours), 3 technical interviews, and a final interview with Marius (CEO). There are no leetcode-style general coding interviews. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit. If you want to prepare, we suggest building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: United Kingdom; United States; Poland; Bulgaria Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. ABOUT THE ROLE We are looking for a Research Engineer to join the research team at ElevenLabs, focused on deploying and optimizing our frontier AI models in production. The quality of our models only matters if they can be served fast, reliably, and at scale. You will own the systems that turn research breakthroughs into real-time products used by millions. You will thrive in this role if you enjoy: - Deploying state-of-the-art models to production and owning the path from research checkpoint to serving infrastructure. - Optimizing inference performance across the stack, including latency, throughput, and cost, using techniques such as quantization, distillation, KV-cache optimization, batching strategies, and custom kernels. - Building and tuning high-performance serving systems for real-time, streaming workloads where every millisecond matters. - Creating tooling and infrastructure that lets researchers ship new models to production quickly, safely, and with confidence in their performance characteristics. REQUIREMENTS We do not require any formal certifications or degrees. Instead, we are seeking enthusiastic engineers who can showcase solving impressively hard problems with artifacts such as past projects, designs, or GitHub contributions. Ideally, you bring: - Experience deploying and serving ML models in production, ideally for latency-sensitive or real-time applications. - Strong engineering skills in GPU programming and inference optimization (e.g., CUDA, Triton, TensorRT, or serving frameworks such as vLLM or SGLang). - The capacity to autonomously profile, diagnose, and eliminate bottlenecks across the serving stack, from model architecture to kernels to orchestration, and to build the tooling to measure it. LOCATION This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. #LI-Remote We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: London & San Francisco Workplace: onsite THE OPPORTUNITY We are building Watcher, a coding agent security product. Watcher is deployed in production and monitors billions of agent tokens per month across engineering teams at agent-building scale-ups and enterprises. We are looking for a product engineer to build and scale Watcher end to end. This role includes backend and frontend components. You will own features across the full stack, from agent hooks and ingestion pipelines to monitoring dashboards and enterprise integrations. You can expect to  own features from customer conversation to production deployment. This is truly a “start-up role”: you will own big chunks of the product, make decisions fast, and ship at high volume. You will join a small team with significant ability to shape the product and tech, and you can earn more responsibility quickly. This is an individual contributor role but could lead to management responsibilities eventually, if desired. KEY RESPONSIBILITIES Ship product end to end (~45%) Feature development Design, build, and ship Watcher features across the stack: agent-side hooks and CLI tooling, ingestion and grading pipelines, real-time monitoring UI (Watcher Live), and the organization-wide Analyzer dashboard. Own features end to end, from ambiguous requirements to production: talk to users, scope the work, make the technical decisions, put that into production, and iterate based on usage. Build Watcher integrations:  We currently support Claude Code and Codex, but we’re planning on increasing our coverage to other coding agents, LLM gateways, and anywhere that could benefit from agent monitoring. Build the policy and configuration layer that lets security teams set org-wide guardrails for  engineers to operate safely within. Productionize research Turn monitoring research (new monitors, grading strategies, backtesting results) into production-ready product features. We are "our own customer": You will use the product you build every day. Infrastructure and scale (~35%) Design and operate backend systems that process large volumes of agent logs in real time. Own reliability: robust error handling, graceful degradation, and observability (logging, metrics, tracing, alerting). We should catch issues before customers do. Architect data models and storage that handle both high-throughput writes and complex analytical queries over historical trajectories. Retention policies have to fit highly sensitive customer data. Make sure Watcher is safe to deploy: Work with our AI Security & Control Engineer on tenant isolation, encryption, and access controls. Watcher touches some of the most sensitive data our customers have. Customer and integration engineering (~20%) Build and maintain integrations with the enterprise security stack, e.g. streaming monitoring alerts into SIEM systems and existing security operations workflows. Support flexible deployment models: cloud-hosted, on-prem, and local backends, so sensitive agent logs never have to leave customer control. Talk to customers, debug issues in their environments, and feed what you learn back into the roadmap. REPRESENTATIVE PROJECTS Secure a new frontier coding agent: Take an agent we don't yet support (e.g. Cursor) from zero to fully monitored. Build the hook/integration layer, normalize its trajectory format into our data model, validate monitor accuracy on real traffic, and ship it to customers. Build the real-time blocking path: Design the low-latency pipeline that lets monitors block dangerous actions (e.g. git push --force, secret exfiltration) before they execute, while keeping p95 latency low enough that developers don't feel it. Handle traffic spikes and partial failures gracefully. Ship an Analyzer capability end to end: Design and build an organization-wide view (e.g. failure trends over time, cross-session pattern detection) from data model through API to UI, based on what security teams actually need. Deploy Watcher inside locked-down enterprises: Build and document the self-hosted/on-prem deployment story so that enterprises with strict data requirements can run Watcher  inside their own infrastructure. JOB REQUIREMENTS Must-haves 4+ years building production software. You have shipped and operated real systems with real users, and you know what it takes to keep them reliable. Full-stack capability. You are strong on the backend (APIs, data pipelines, databases, cloud infrastructure) and productive on the frontend (modern web UI). You don't need to be world-class at both, but you must be able to own a feature across the whole stack. Our stack is primarily Python and TypeScript. High agency and ownership. You are willing to own big chunks of the product, make decisions fast with incomplete information, and be accountable for the outcome. You don't wait to be told what to do and have an accurate sense of the roadmap for the product. High output volume. You have used Claude Code, Codex, Cursor, or similar tools heavily to accelerate or have built agents or agent tooling yourself. Startup pace. You are excited about a fast-moving environment, comfortable with ambiguity and changing priorities, and willing to grind when it matters. Product sense. You can talk to users, translate vague requirements into concrete designs, and make good calls about what to build and what to cut. Strong nice-to-haves Previous work on developer tools, monitoring/observability systems, or security products. Watcher sits at the intersection of all three. Real-time or large-scale data processing experience (streaming pipelines, message queues, high-throughput log systems). Enterprise or on-prem deployment experience. Shipping software into environments you don't control is its own skill. Experience building LLM-powered applications, e.g. LLM-as-judge setups, evaluation pipelines, or familiarity with frameworks like Inspect. Early-stage startup experience. You have been employee 1-15 somewhere and know what it feels like to build a product with no playbook. Explicitly not required Formal AI safety background. We need excellent product engineers who can learn the AI safety context, not AI safety researchers who need to learn engineering. Management experience. This is an IC role, at least initially. Deep experience in every technology we use. We care about demonstrated ability to learn and ship, not checkbox familiarity with our exact stack. We want to emphasize that people who feel they don’t fulfill all of these characteristics but think they would be a good fit for the position, nonetheless, are strongly encouraged to apply. BENEFITS This role offers market competitive salary, equity, and competitive benefits. Salary: San Francisco: $222,000 – $290,000 London: £149,000 – £195,000. We will be looking to meaningfully raise salaries soon. Our engineers effectively have an unlimited token budget. If a better result costs more compute, use it. Flexible work hours and schedule Unlimited vacation Unlimited sick leave Up to 6 months of paid parental leave Comprehensive health, dental and vision insurance Retirement savings with competitive employer matching (e.g. 401(k) for US employees) Lunch, dinner, and snacks are provided for all employees on workdays Paid work trips, including staff retreats, business trips, and relevant conferences A yearly $1,000 (USD) professional development budget Relocation support and visa fees (if applicable) LOGISTICS Time Allocation: Full-time Location: This is an in-person role working out of our London or San Francisco office. We offer flexible working hours and some wfh arrangements. Visa sponsorship: We sponsor visas in both the UK and US. Sponsorship isn't guaranteed for every role or candidate, but if we make you an offer, we'll work with you to find the right visa route. ABOUT THE TEAM The product team consists of product engineers: Jeremy Neiman, Zak Walters, Zen van Riel, Srdjan Miletic and Gustavo Bicalho; research scientists: Victor Gillioz, Monika Jotautaitė, Dmitrii Volkov; and our GTM lead: Kyle Dai. Marius Hobbhahn (CEO) advises the team. Furthermore you will interact with our other SWEs and researchers, since we intend to be "our own customer" by using our products internally for our research work. You can find our full team here. ABOUT APOLLO RESEARCH The rapid rise in AI capabilities offers tremendous opportunities, but also presents significant risks. At Apollo Research, we're primarily concerned with risks from Loss of Control, i.e. risks coming from the model itself rather than e.g. humans misusing the AI. We're particularly concerned with deceptive alignment / scheming, a phenomenon where a model appears to be aligned but is, in fact, misaligned and capable of evading human oversight.  We work on the science of scheming, detection of scheming (e.g. building evaluations), and scheming mitigations (e.g. anti-scheming). We also work on control and monitoring research (see our scalable monitoring agenda). We work closely with many frontier AI companies, such as OpenAI, Anthropic, Google, Meta, Thinking Machines and others, e.g. to test their models and collaborate on the science of scheming. At Apollo, we aim for a culture that emphasizes truth-seeking, being goal-oriented, giving and receiving constructive feedback, and being friendly and helpful. If you're interested in more details about what it's like working at Apollo, you can find more information here. We also build a coding agent security product called Watcher that secures agent deployments in companies. Our goal is to reduce the probability of catastrophic incidents by securing coding agents, learning about their real-world risks, and publishing our research on how to build these control systems most effectively. Equality Statement: Apollo Research is an Equal Opportunity Employer. We value diversity and are committed to providing equal opportunities to all, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, or sexual orientation. HOW TO APPLY Please complete the application form with your CV. The provision of a cover letter is neither required nor encouraged. Please also feel free to share links to relevant work samples. About the interview process: Our multi-stage process includes a screening interview, a take-home test (3 hours), 3 technical interviews, and a final interview with Marius (CEO). There are no leetcode-style general coding interviews. You may use AI tools on the take-home; we judge the result the way we'd judge any contributor's work, so you are responsible for the quality of everything you submit. If you want to prepare, we suggest building simple monitors for coding agents and running them on your own Claude Code / Cursor / Codex / etc. traffic. Your Privacy and Fairness in Our Recruitment Process: We are committed to protecting your data, ensuring fairness, and adhering to workplace fairness principles in our recruitment process. To enhance hiring efficiency, we use AI-powered tools to assist with tasks such as resume screening. These tools are designed and deployed in compliance with internationally recognized AI governance frameworks. Your personal data is handled securely and transparently. All resumes are screened by a human and final hiring decisions are made by our team. If you have questions about how your data is processed or wish to report concerns about fairness, please contact us at info@apolloresearch.ai.

Location: Singapore, Singapore OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me, Do the Right Thing, and Get Things Done. These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About The Opportunity We are looking for a Staff Mobile Security Engineer to join our Mobile Security team, where you will play a key role in identifying and mitigating security vulnerabilities across OKX's mobile applications and platforms. This is a high-ownership role at the intersection of offensive security, mobile engineering, and platform protection — you will work closely with development, operations, and compliance teams to ensure security is embedded at every layer of our mobile stack. You bring deep expertise in mobile application security, offensive techniques, and secure coding practices. You are also fluent in AI-assisted development and bring the discipline to build, maintain, and continuously improve your own AI engineering workflows. What You'll Be Doing Identify and address security vulnerabilities in mobile code, systems, and networks through manual review, automated tooling, and threat modelling. Manage and optimise application security tools, processes, and alerts to maintain a strong security posture. Validate and respond to Bug Bounty submissions, triaging findings and coordinating remediation with engineering teams. Produce detailed security findings reports and present them to both technical and management audiences, contributing to real-world attack prevention. Collaborate with development teams to implement and champion secure coding practices across iOS and Android platforms. Apply AI tools to accelerate security research, automate vulnerability detection workflows, and improve the efficiency of threat analysis. Work alongside operations and compliance teams to ensure security is a consistent priority across the organisation. Participate in incident response and management activities. Stay current on the latest offensive security techniques, application security threats, and industry best practices. What We Look For In You 5+ years of experience in mobile application security or offensive security, with hands-on expertise in iOS and/or Android platforms. In-depth understanding of security risks, vulnerabilities, and concepts in mobile and web applications. Proficient in code review across Kotlin, Swift, TypeScript, or JavaScript, with a strong grasp of application security threats. Able to create proof-of-concepts (PoCs) to demonstrate vulnerabilities, review patch code for adherence to standards, and collaborate with repository owners on remediation. Actively uses AI tools in your security engineering workflow — including building AI-leveraged workflows and codifying repeatable agent skills so tools like Claude Code or Codex deliver reliably on real production work. Strong analytical and problem-solving abilities with excellent verbal and written communication skills. Nice-To-Haves Prior experience developing mobile security SDKs at scale — products with a daily active user base of over ten million. Experience in large-scale business risk control projects, or practical experience in threat intelligence, business risk prevention, and countermeasures against black and grey industries. In-depth reverse engineering of major apps from first-tier vendors, or other projects that demonstrate strong reverse engineering capabilities. Proficiency in ARM assembly, with the ability to implement deep-level countermeasures at the native and application layers. Experience with device fingerprint recognition — including simulating new devices through methods such as flashing, modification, and application cloning. Ability to work across multiple mobile platforms simultaneously. Perks & Benefits Competitive total compensation package L&D programs and Education subsidy for employees' growth and development Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Los Angeles, USA As a Revenue Accounting Manager , you’ll be in charge of certain areas of the game revenue accounting at Riot Games.  This involves critical accounting player life estimates, big data transaction reconciliation and automation for micropayments, devising structure to address controls and risks including for accounts receivable, and thoughtfully developing the technical accounting for emerging revenue issues.  To be successful, you’ll need to be flexible working at both a review level and a hands-on detailed level.  You will drive projects forward and collaborate with other teams including Finance, Game teams, Payments, Legal, Data, and accounting teams in our global offices. This position reports to the Accounting Director and will play a key leadership role in the overall Accounting organization around change management, improving processes and controls, scaling accounting, company infrastructure and operations. Responsibilities: Deeply understand Riot’s statistical player life estimate calculation and work with a data analyst to maintain it.  This includes doing analysis to explain changes, working on audit deliverables, and understanding how this estimate would apply to new products. Reconcile large sales datasets with engineering team across the order to cash process.  This data would include information from international payment processors with unique fees, FX, and taxes. Further develop processes and automation with the engineering team to increase efficiency and scope of the large data reconciliation noted above.  This includes project management, understanding system data flows, and cross team collaboration. Research and formalize technical accounting including Principal vs Agent, Point in Time vs Over Time, Costs to obtain a contract, and Consideration payable to a customer. Review draft contracts to ensure smooth technical accounting. Build out approaches and systems to address key risks such as receivables collectability and chargebacks monitoring. Project manage and oversee certain day to day, period end close, and audit related activities Implement improved approaches to internal revenue data and systems.  This may include implementing a more sophisticated revenue system and the related processes Mentor team staff Manage relationships with external auditors to ensure timely completion of annual audits and reviews Required Qualifications: A bachelor's degree in Accounting or Finance. Big 4 experience and a CPA designation is required. 6+ years of progressive experience with at least 3 years in a leadership role in a fast paced environment.  Multinational experience is required. Project manage key areas with multiple groups.  Organize and prioritize effectively and meet deadlines while maintaining quality. Analytical, interested in deeply understanding areas, consider why an approach is better than 1-2 alternatives. Some statistical experience, ideally in relation to critical accounting estimates. Strong understanding of revenue recognition in a technology/entertainment company Comfortable working with big data processes and engineer / analysts for high volume revenue transactions. Strong leader in training and developing high-performing individuals with a clear commitment to the development and engagement of the team.  Effectively listen and demonstrate an effective, collaborative approach. Desired Qualifications: Operational experience including global high volume credit card transactions and B2B transactions. Experience with gaming industry player life statistical estimates or similar. Solid experience with one or more financial ERP systems, preferably Oracle For this role, you'll find success through craft expertise, a collaborative spirit, and decision-making that prioritizes your fellow Rioters, who are the customers of your work. Being a dedicated fan of games is not necessary for this position! Our Perks: Riot focuses on work/life balance, shown by our open paid time off policy and other perks such as flexible work schedules. We offer medical, dental, and life insurance, parental leave for you, your spouse/domestic partner, and children, and a 401k with company match. Check out our benefits pages for more information. At Riot Games, we put players first . That mission drives every decision in our quest to create games and experiences that make it better to be a player. Whether you’re working directly on a new player-facing experience or you’re supporting the company as a whole, everyone at Riot is part of our mission. And just like in our games, we’re better when we work together. Our goal is to create collaborative teams where you are empowered to bring your unique perspective everyday. If that sounds like the kind of place you want to work, we’re looking forward to your application. It’s our policy to provide equal employment opportunity for all applicants and members of Riot Games, Inc. Riot Games makes reasonable accommodations for handicapped and disabled Rioters and does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, handicap, veteran status, marital status, criminal history, or any other category protected by applicable federal and state law. We consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with applicable federal, state and local law, including the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, and the Washington Fair Chance Act. Per the Los Angeles County Fair Chance Ordinance, the following core duties may create a basis for disqualifying candidates with relevant criminal histories: Safeguarding confidential and sensitive Company data Communication with others, including Rioters and third parties such as vendors, and/or players, including minors Accessing Company assets, secure digital systems, and networks Ensuring a safe interactive environment for players and other Rioters These duties are directly related to essential operations, safety, trust, and compliance obligations within our organization. Please note that job duties may evolve based on business needs and additional responsibilities may be assigned as necessary to maintain operational efficiency and security.

Location: Brownsville, WI Corporate Office  ; Green Bay, WI  ; Madison, WI  ; Milwaukee, WI  ; Neenah, WI Improving America’s infrastructure isn’t for the weak. It takes grit, determination, and hard work to execute high impact projects. Michels Corporation engages 10,000 people and 18,000 pieces of heavy equipment in our insatiable drive to be the best. Our work improves lives. Find out how a career as an Staff Data & AI Governance Manager can change yours. The Staff Data & AI Governance Manager will help build Michels' enterprise governance function from the ground up. As a founding member of the Enterprise Intelligence team, this role will shape the policies, standards, operating routines, and accountability model that make data trusted, discoverable, and usable across the business. The role will also establish practical, risk-based governance for AI so Michels can move quickly on experimentation while applying stronger oversight where use cases require durability, transparency, or compliance. This role starts hands-on, laying the groundwork that lets Michels move with speed and confidence , with a clear path to build and lead the governance team as the function matures. Why Michels? We are consistently ranked among the top 10% of Engineering News-Record’s Top 400 Contractors Our steady, strategic growth revolves around a commitment to quality We are family owned and operated We invest an average of $5,000 per employee on training each year We reward hard work and dedication with limitless opportunities We believe it is everyone’s responsibility to promote safety, regardless of job titles. We offer a comprehensive benefits program including (depending on your positions and location you may participate in a different benefit plan): Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long-Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan Why you? You thrive in fast-paced environments under tight deadlines You enjoy collaborating and communicating with your teammates You like to know your efforts are noticed and appreciated You have strong time management, verbal, and written communication skills Key Responsibilities: Build and operationalize Michels' data and AI governance framework: policies, standards, roles, decision rights, and operating processes. Establish foundational data governance across ownership, stewardship, quality, metadata, lineage, classification, and retention. Partner with business, operations, and IT teams to build shared ownership of governance across data and AI work. Create practical AI governance for use-case intake, risk classification, responsible AI review, vendor and embedded AI oversight, and monitoring. Facilitate the governance forums, stewardship routines, and cross-functional decisions that clarify accountability and make governance actionable. Develop metrics and reporting that give leadership visibility into data quality, governance maturity, AI adoption, and emerging risks. Grow the function over time, evolving from hands-on builder into the leader of future governance capabilities, communities, and team. Qualifications: Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related quantitative field, or equivalent practical experience. 7+ years of experience in data governance, data management, technology risk, or a related discipline at enterprise scale. Strong command of core governance disciplines, with demonstrated ability to build and mature governance programs. Familiarity with modern data platforms and governance tooling such as Microsoft Fabric, Databricks, Snowflake, Collibra, Alation, Atlan, or similar technologies. Working knowledge of generative and agentic AI, responsible AI, and risk-based AI governance. Strong communication and stakeholder skills, with the ability to influence without authority, facilitate cross-functional decisions, and explain governance and risk concepts to technical, business, and executive audiences. AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. About the role: WorkOS is growing rapidly, and our largest customers are growing with us. We're looking for an Account Manager to own the expansion of our most complex accounts — deepening product adoption, uncovering new use cases, and turning strong technical relationships into meaningful revenue growth. This is a commercial role with a technical center of gravity. You'll build trusted relationships with engineering and product leaders, understand their roadmaps well enough to see where WorkOS should show up next, and drive the renewals, upsells, and multi-product expansion that follow. You'll also be a critical feedback loop into product — the expansion opportunities you can't close today become the roadmap that unlocks them tomorrow. Responsibilities - Own a book of strategic accounts end to end: retention, renewal, and expansion targets - Build and execute account growth plans — map the org, identify unadopted products and untapped teams, and drive a clear path to increased usage and spend - Proactively surface expansion opportunities by understanding each customer's product roadmap, technical architecture, and growth plans - Lead commercial conversations independently, from initial opportunity through pricing, negotiation, and close - Drive adoption of the full WorkOS platform — SSO, Directory Sync, AuthKit, Audit Logs, and beyond — across new teams, new products, and new geographies - Partner with Sales, Support, and Engineering to remove technical blockers standing between a customer and their next stage of growth - Run executive business reviews that connect WorkOS usage to customer outcomes and set up the next expansion conversation - Forecast accurately and maintain pipeline hygiene across your accounts - Feed structured expansion signal back to Product — what customers are asking for, what's blocking adoption, and what would unlock the next tier of spend - Help build the playbooks, content, and processes that make this motion repeatable as the team scales Qualifications - 5+ years in account management, customer success, or sales at an enterprise level, with a track record of growing existing accounts - Demonstrated ownership of expansion, upsell, or net revenue retention targets - Strong product sense and genuine energy for solving hard technical customer problems - Ability to lead complex integration and architecture conversations in a consultative, proactive way - Familiarity with APIs and the ability to explain API concepts to our largest and most technical customers - Familiarity with SQL — comfortable writing basic queries and modifying more complex ones to find adoption and usage signal on your own - Comfort navigating multi-threaded relationships, from individual developers to VPs and executive buyers - Strong written and verbal communication skills - Commercial instincts: you can spot an opportunity, build the business case, and ask for the deal - Operations-savvy mindset — you remove process friction and build things that scale - Strong organizational skills and a self-starting mindset Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Virginia - Remote Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake. Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital. The role, in a nutshell: Chainguard is looking for a Federal Health Account Executive to help expand our presence within large organizations. In this role, you’ll own the full sales cycle with federal customers—from building pipeline through closing complex deals. Successful candidates are disciplined in their sales process, strong at developing pipeline, and comfortable navigating complex federal buying environments. You’ll work closely with sales leadership, sales engineering, marketing, and customer success to help organizations adopt Chainguard’s solutions and improve how they build and secure software. What You'll Do Own the full sales cycle from prospecting through close Build and manage pipeline within a defined set of federal accounts Lead discovery, qualification, and deal strategy using frameworks such as MEDDPICC Communicate Chainguard’s value to technical stakeholders, security leaders, and executive buyers Partner with Sales Engineering, Public Sector Partner Team, and Customer Engineering to support evaluations and technical validation Manage complex Federal sales cycles including procurement, security reviews, and negotiations Maintain accurate pipeline visibility and forecasting Consistently meet or exceed revenue and pipeline targets What We're Looking For 8-10+ YOE selling complex technical products into federal organizations 5+ years of closing experience in the SaaS/Security/DevOps industry required 5+ years’ experience covering Federal Healthcare, HHS, VA and DHA A track record of building pipeline and consistently closing revenue Comfortable running disciplined sales processes (MEDDPICC or similar) Ability to identify customer pain and sell based on measurable business value Experience navigating multi-stakeholder buying cycles from technical teams to executives Strong deal management and forecast discipline across complex opportunities Excellent communication, relationship-building, and negotiation skills Comfortable operating in fast-growing environments with evolving processes Desired Qualifications: Domain experience with one or more of the following strongly recommended: Compute platforms (Kubernetes, Docker, AWS, Azure, Google Cloud), DevOps Tooling, CICD platforms (Github, Gitlab, jenkins), and overall SDLC. Startup experience A strong sales aptitude and fundamental understanding of the sales process A sound, tech-savvy business acumen and the ability to articulate a compelling value proposition in a complex and evolving business environment Ability to thrive in an agile environment with an ever-evolving set of solution $350K OTE (50/50) Bonus Points: Startup experience Domain experience with one or more of the following: Compute platforms (Kubernetes, Docker, AWS, Azure, Google Cloud), DevOps Tooling, CICD platforms (Github, Gitlab, Jenkins) and overall SDLC. Compensation: $350,000 OTE (50/50) About Us We live and breathe our company values: We are customer obsessed — We focus on delivering solutions to our customers that create value and make their lives better. We have a bias for intentional action — We prioritize, plan, try things, and fail fast. We don't take ourselves too seriously (but we do serious work) — We are solving an important problem which takes focus, but we also like to enjoy the journey. We trust each other and assume good intentions — We're transparent with decisions to empower team members to make well informed decisions. A few of the benefits we offer: Flexible & Remote-First Culture: Work remotely with team meetup opportunities, bi-annual destination summits, and a monthly stipend for coworking spaces, phone and internet costs. Our Approach to Equity: Receive stock options upon hire and promotion. Plus, you can participate in secondary offerings and have 10 years to exercise your options (yes, you read that correctly: 10 years!). 100% Covered Health Insurance: We cover 100% of your health, vision and dental insurance premiums for you and your dependents. Nothing comes out of your paycheck. ∞ Flexible Time Off: Take the time you need – to do our best work, we need to recharge and reset. 18 Weeks Paid Parental Leave: We offer 18 weeks for birthing parents and 12 weeks for non-birthing parents, with the option to use it all at once or throughout your child's first year. If your experience is close but doesn't fulfill all requirements, please apply. We're building the best team in technology and are focused on hiring "Chainguardians" with unique backgrounds, perspectives, and experiences. Chainguard is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. By submitting your application, you acknowledge that Chainguard will process your personal data in accordance with Chainguard's Global Candidate Privacy Notice . ©2026 Chainguard. All Rights Reserved.

Location: Remote - US About Backblaze Backblaze is the object storage leader in the open cloud movement, fueling customer success with cloud storage built purposefully to unlock budgets, unburden administrators, and unleash innovators. Together with our partners, we're helping customers break free from the restrictive, overpriced legacy solutions that hold them back and blaze forward with the full power of the open cloud in their hands. Founded in 2007, we scaled the business with less than $3 million in outside funding until 2021, when we did a traditional IPO on the Nasdaq stock exchange. Today, Backblaze generates over $125M in revenue and is the leading specialized storage cloud, managing over three billion gigabytes of data storage for 500K+ customers in 175+ countries, including businesses, developers, IT professionals, and individuals. Role Overview Backblaze is seeking a Director, Enterprise Systems & Architecture  to own the technical vision, architecture, and operations of the company’s enterprise systems and emerging AI use cases. This is a senior leadership role with organization-wide scope — spanning commercial and financial systems, GTM technology, data architecture, and the deployment and governance of AI agents across the business. This leader will serve as the company’s architectural authority for enterprise platforms including Salesforce, NetSuite, Zendesk, Snowflake, and their surrounding integration ecosystem. Equally important, they will support the governed infrastructure layer that enables AI agents, automated workflows, and headless capabilities to operate safely at a public company. They will partner closely with the CRO, CISO, and CFO organizations to enable velocity while ensuring systems are compliant, auditable, and built to scale. The ideal candidate combines deep enterprise architecture expertise with hands-on platform engineering instincts and practical experience deploying AI agents in production environments. This is a build-and-operate role, not a purely advisory one. The Director will directly manage the Salesforce administration team and the NetSuite techno-functional team, and will grow a broader platform capability over time. Key Responsibilities Enterprise Architecture Strategy Define and maintain the enterprise systems architecture roadmap across the commercial, financial, and GTM technology stack, including Salesforce, NetSuite, Zendesk, Snowflake, and related platforms. Own and maintain formal architecture documentation including system topology maps, data flow diagrams, integration inventories, and architecture decision records (ADRs). Establish and enforce architectural governance standards and review processes for all material system changes across the enterprise. Define reference architectures and design patterns for integrations, data exchange, platform extensibility, and AI agent workloads. Lead build vs. buy evaluations and establish platform selection criteria — including for AI tooling, agent orchestration frameworks, and LLMOps infrastructure — aligned with long-term architectural goals. Ensure systems architecture supports scalability, data integrity, security, and operational efficiency in a public-company environment. Systems Architecture & Integration Design Serve as the lead architect for the design and implementation of integrations across Salesforce, NetSuite, Zendesk, Snowflake, Orb, and other enterprise platforms. Establish and enforce design standards, data contracts, and integration governance across all enterprise systems. Own the enterprise architecture review board, evaluating proposed system changes for scalability, compliance, security, and alignment with long-term design goals. Define integration patterns (event-driven, API-first, middleware) and ensure consistent application across the technology ecosystem. Partner with the Data Engineering team to ensure data pipelines, data models, and platform integrations reflect sound architectural principles and support reliable analytical and operational outcomes. Lead evaluation and selection of new technologies, including iPaaS and middleware platforms, ensuring alignment with the broader architecture. Architecture Governance & Advisory Serve as the company's technical authority on enterprise systems design questions, providing architectural guidance to Revenue Operations, Finance, and Data Engineering leadership. Lead architecture review sessions and provide formal design approval for major system initiatives and platform changes. Produce and maintain architectural roadmaps, standards documentation, and technical decision frameworks that guide delivery teams and stakeholders. Translate complex business requirements into scalable, future-proof architectural solutions, ensuring alignment between business priorities and technical design decisions. Establish strong feedback loops with business teams to ensure the architecture evolves alongside organizational needs. Mature the infrastructure that governs AI agent workflows — ensuring all agents and automated systems operate through governed identity, API gateway, secrets management, logging, and reconciliation layers. Maintain and enforce change management standards for workflow deployments, prompt changes, and policy updates — including GitHub-backed version control and CI/CD deployment gates. Ensure AI agent operations comply with SOX IT General Controls, data privacy requirements (GDPR/CCPA), and internal data governance standards. Build and maintain observability infrastructure in partnership with the security team for agent operations, including real-time dashboards, alerting on anomalous behavior, and audit trail evidence for SOX and compliance purposes. Team Leadership & Vendor Governance Lead and develop a team of Business Systems administrators, contractors, providing mentorship and clear career development direction. Establish best practices for systems lifecycle management, change management, and project delivery. Manage vendor and contractor relationships, ensuring external resources operate within defined architectural standards and governance frameworks. Champion a culture of technical rigor, documentation discipline, and continuous improvement across the team. Qualifications Required 10+ years of experience in Enterprise Architecture, Business Systems, or Platform Engineering roles, with demonstrated ownership of multi-system environments at a public or compliance-regulated company. Proven experience deploying, monitoring, and governing AI agents or LLM-powered workflows in production, including prompt versioning, agent identity management, and audit logging. Deep experience architecting and governing Salesforce CRM environments at scale, including data model design, integration patterns, and access controls. Strong working knowledge of NetSuite and Snowflake from both an architectural and operational perspective. Experience building and operating API gateway, secrets management, and identity-based access control infrastructure in support of automated workflows or agent systems. Solid understanding of SOX IT General Controls and application controls, with experience producing control evidence in a public company environment within the last 3 years. Proven track record managing multi-functional business systems or platform teams, including direct management of admins and techno-functional resources. Experience designing integration architectures using event-driven, API-first, or middleware patterns. Strong communication and stakeholder management skills with the ability to engage credibly across technical teams, senior business leaders, and external auditors. Experience with workflow versioning, GitOps patterns, and CI/CD pipelines for business systems deployments. Preferred Proficiency with architecture and security frameworks to enable the responsible usage of AI Hands-on experience with iPaaS or middleware platforms (e.g., Fivetran, Polytomic, MuleSoft, Boomi, Celigo) at a design and governance level. Experience developing master data management (MDM) strategy and data governance frameworks. Experience managing analytics architecture and BI platforms such as Tableau. Salesforce and NetSuite certifications. Experience working in public or large enterprise technology environments with compliance and audit requirements. What We Offer Competitive compensation and equity package Full benefits including medical, dental, vision, and 401(k) with matching RSU grants for full-time employees ESPP program Flexible vacation policy Maternity & paternity leave MacBook to use for work, plus a generous stipend to personalize your workstation Childcare bonus (human children only) Fertility treatment and support Learning & development program Commuter benefits A collaborative and transparent culture that supports a healthy work-life balance Pay Transparency To provide greater transparency to candidates, we share base pay ranges for all US-based job postings regardless of state. Final offer amounts are determined by multiple factors including candidate location, skills, depth of work experience, and relevant licenses/credentials. The expected salary range for this role is $190,000 - $220,000. At Backblaze, we value being fair and good to our customers, partners, and employees. Diversity, equity, and inclusion are at the core of our values. We are committed to fostering a workforce where all employees feel a sense of belonging regardless of race, ethnicity, nationality, gender, sexual orientation, age, religion, socio-economic status, ability, veteran status, and education. We are proud to be an Equal Opportunity Employer.

Location: San Francisco; London We are hiring builders to define how people talk to, show things to, and hear from AI In 2026, we launched Computer, the defining product for the new era of agentic AI. We've scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. The Multimodal team builds the experiences and infrastructure that move AI interaction beyond touch and text — realtime voice, vision, and the platform systems behind them. We own the full path from a user speaking into a device to an answer coming back: the realtime session infrastructure that connects clients to frontier audio models, the backend orchestration that routes, records, and supervises live sessions, and the SDK that powers voice and multimodal experiences across Perplexity's apps. As a backend engineer on Multimodal, you will design and scale the distributed systems that carry live voice sessions in production — and drive entirely new products at the intersection of voice, vision, and agents. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and scale the backend session-worker architecture that powers realtime voice: durable per-session workers, provider routing, and stateful streaming over gRPC. - Own distributed-systems problems end-to-end — session lifecycle, crash recovery, reconnection and replay, multi-region deployment, and graceful degradation under real production load. - Build provider-agnostic streaming protocols from our backend to the Rust SDK that powers voice across every client stack. - Drive new products and initiatives in voice and multimodal AI from problem definition through technical design, implementation, and launch. - Build the orchestration layer that lets live voice models delegate work to tools, agents, and long-running tasks — safely, asynchronously, and at scale. - Partner closely with SDK, client, infrastructure, and model teams; work across the stack when the product demands it, from backend services to client-facing APIs. WHAT WE'RE LOOKING FOR - 4+ years of professional software engineering experience building backend or distributed systems. - Strong experience in Rust, Python, or Go (we work primarily in Rust and Python). - Experience designing and operating production distributed systems: streaming RPC (gRPC or similar), stateful services, message-driven architectures, and failure recovery. - Solid understanding of cloud infrastructure — deploying, scaling, and operating services on AWS or equivalent. - Strong product judgment and the ability to translate user problems into simple, effective technical solutions. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Experience with realtime media systems: voice, audio streaming, WebRTC, or low-latency transport. - Full-stack range — comfort building end-to-end, from backend services through client SDKs or web frontends. - Experience integrating LLMs, speech models, or computer vision into production systems. - Experience with agent frameworks, tool-calling architectures, or sandboxed execution environments. - Time spent at a fast-growing startup or on a high-ownership engineering team. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: San Francisco; London We are hiring builders to define how people talk to, show things to, and hear from AI In 2026, we launched Computer, the defining product for the new era of agentic AI. We've scaled beyond the millions of people using Perplexity every day for research, shopping, investing and curiosity into a new paradigm of using AI to transform knowledge into action. The Multimodal team builds the experiences and infrastructure that move AI interaction beyond touch and text — realtime voice, vision, and the platform systems behind them. We own the full path from a user speaking into a device to an answer coming back: the realtime session infrastructure that connects clients to frontier audio models, the backend orchestration that routes, records, and supervises live sessions, and the SDK that powers voice and multimodal experiences across Perplexity's apps. As a backend engineer on Multimodal, you will design and scale the distributed systems that carry live voice sessions in production — and drive entirely new products at the intersection of voice, vision, and agents. WHY PERPLEXITY IS DIFFERENT - Craftsmanship. We build high quality, tasteful products targeting both the AI native and AI curious. - Ownership. You identify the problem, design the solution and ship it. - Entrepreneurship. We think like founders, act with urgency, and hustle to deliver for each other and our users. - Scholarship. Work among highly talented peers, pursuing knowledge and truth, upleveling ourselves, our teams, and our products. - Partnership. We amplify each others' strengths, break down silos, and give selflessly to help our colleagues deliver excellence. WHAT YOU'LL DO - Design, build, and scale the backend session-worker architecture that powers realtime voice: durable per-session workers, provider routing, and stateful streaming over gRPC. - Own distributed-systems problems end-to-end — session lifecycle, crash recovery, reconnection and replay, multi-region deployment, and graceful degradation under real production load. - Build provider-agnostic streaming protocols from our backend to the Rust SDK that powers voice across every client stack. - Drive new products and initiatives in voice and multimodal AI from problem definition through technical design, implementation, and launch. - Build the orchestration layer that lets live voice models delegate work to tools, agents, and long-running tasks — safely, asynchronously, and at scale. - Partner closely with SDK, client, infrastructure, and model teams; work across the stack when the product demands it, from backend services to client-facing APIs. WHAT WE'RE LOOKING FOR - 4+ years of professional software engineering experience building backend or distributed systems. - Strong experience in Rust, Python, or Go (we work primarily in Rust and Python). - Experience designing and operating production distributed systems: streaming RPC (gRPC or similar), stateful services, message-driven architectures, and failure recovery. - Solid understanding of cloud infrastructure — deploying, scaling, and operating services on AWS or equivalent. - Strong product judgment and the ability to translate user problems into simple, effective technical solutions. - Genuine interest and adoption of AI products and willingness to learn quickly. NICE TO HAVE - Experience with realtime media systems: voice, audio streaming, WebRTC, or low-latency transport. - Full-stack range — comfort building end-to-end, from backend services through client SDKs or web frontends. - Experience integrating LLMs, speech models, or computer vision into production systems. - Experience with agent frameworks, tool-calling architectures, or sandboxed execution environments. - Time spent at a fast-growing startup or on a high-ownership engineering team. OUR MISSION Perplexity’s mission is to power curiosity. Curious people are the people who drive change in the world. Driving change is a continuous cycle of learning, building, and integrating. Learn: curious people constantly learn new things by asking more. They question the status quo in their own expertise and they constantly learn outside of it. Research is essential to them and never ending. Build: curious people make and create things, to show the world their new answers to problems no one else ever questioned. They take action on what they’ve learned. Makers need tools to create their products, their companies, their reality. Integrate: they must interact with the world as it is to drive change and adoption. True leaders do not simply build something and hope. They must have armies of agents and workers who can constantly work in millions of small ways. Repeat. For curious people this is a cycle that never ends.

Location: San Francisco Perplexity is seeking energetic researchers and engineers to join our Secure Intelligence Institute (SII), Perplexity's flagship research center for advancing security, privacy, and trust in frontier intelligence. SII’s goals are to advance frontier AI security research, translate those advances into concrete improvements in Perplexity's systems, and share knowledge and resources that strengthen the broader AI ecosystem. As a member of SII, you'll conduct original and impactful research on improving the security and privacy of frontier intelligence systems. Your goal will be to conduct research that is not only rigorous in theory, but practical enough to improve the systems people rely on every day. This work will be informed by the realities of operating general-purpose AI systems used by millions of people and thousands of enterprises, and you'll be expected to translate both your own research and advances from the broader community to practical improvements that protect and defend Perplexity's users. RESPONSIBILITIES - Develop threat models for emerging attack surfaces in AI-native products, including browser, search, and autonomous agents. - Identify and analyze security and privacy threats across AI systems, infrastructure, and user-facing products. - Develop novel defenses, mitigations, and detection mechanisms for security and privacy in AI-native products. - Build security evaluation frameworks, benchmarks, and datasets to measure the effectiveness of different defense mechanisms. - Partner with Perplexity’s Security Engineering team to translate state of the art research into shipped security features and hardened system architectures. - Collaborate with top-tier academic and industry researchers in SII's external research network. - Publish findings at premier venues and contribute to the broader security research community. QUALIFICATIONS - Hold a PhD (or equivalent research experience) in Computer Science, Computer Engineering, or a related field, with a primary focus on security and/or privacy. - Experience publishing at top security conferences (IEEE S&P, USENIX Security, ACM CCS, NDSS) demonstrating original, impactful research contributions. - Deep expertise in one or more of: security of agentic systems, systems security, web and applications security, program analysis, and software security. - Proficiency in Python (bonus points for TypeScript, Go, and/or Rust). - Ability to operate with high independence, willing to dive in and take ownership, and comfortable in a fast-paced environment where research directly informs product. - Clear and concise communcation, translating complex attack narratives into actionable insights for engineering and leadership.

Location: San Francisco; Seattle; New York City; Toronto PERPLEXITY API PLATFORM Perplexity innovates at the frontier of AI infrastructure, search, and orchestration to serve the world's most discerning users. The Perplexity API Platform brings our technology to the world's most discerning developers. From exabyte-scale knowledge indexes to codegen-first agent runtimes, the building blocks behind Perplexity's applications are some of the most battle-tested AI systems in the industry. We believe these same building blocks can and should power the aspirations of builders everywhere. It's one thing to solve planet-scale retrieval, long-horizon orchestration, and other foundational AI challenges within a single product ecosystem. The true measure of success is to turn those solutions into elegant APIs that delight developers and agents alike. Our API Platform delivers frontier intelligence to thousands of customers: startups, trillion-dollar enterprises, U.S. and allied governments, and everyone in between. We've achieved incredible scale, yet we're just getting started. Join us to build tools for curious minds. ABOUT THIS ROLE Perplexity is seeking strong engineers with a passion for delivering frontier intelligence and infrastructure to developers. Our company builds technology that reshapes how people search, reason, and interact with the world around them. Week after week, we observe increasing demand for programmatic interfaces to that technology. The API Platform engineering team is charged with designing, implementing, and scaling these interfaces. As a member of our team, you'll work on an eclectic portfolio spanning distributed systems, performance optimization, agent orchestration, and frontier topics that often change with each passing month. Throughout this work, you'll prioritize great developer and agent experience alike. You'll also define technical strategy for how we scale to meet compounding growth exponentials (number of customers, agents per customer, compute/retrieval per agent, etc.). KEY RESPONSIBILITIES - Design, build, and operate mission-critical APIs that provide our customers the building blocks for frontier intelligence. - Own and evolve the API gateway and routing layer: authentication, authorization, rate limiting and quotas, usage metering, and request routing across heterogeneous upstream services. - Build the paved road for API services: standardized service scaffolding, container builds, CI/CD, Kubernetes and Helm deployment, and progressive rollouts with fast rollback, so a new API product goes from idea to production in days, not weeks. - Build API governance into the platform: contract-first schemas, breaking-change detection in CI, versioning and deprecation workflows, and SDKs and documentation generated from a single source of truth. - Unify cross-cutting capabilities (billing and usage, rate limiting, organization and identity settings, analytics and observability) so every API product gets them by default instead of rebuilding them. - Ensure low latency and high throughput through aggressive performance optimization (including on upstream systems). - Harden system security and reliability across heterogeneous compute environments, and operate what you build: SLOs, on-call, and incident response. - Collaborate across teams to bring novel frontier capabilities into the API Platform, and partner with infrastructure teams on compute, networking, secrets, and security. - Continually reimagine the customer needs of tomorrow (and the architectures to serve those needs), while faithfully serving the customer workloads of today. - Uphold engineering excellence through design reviews, code quality, and internal documentation. QUALIFICATIONS - 5+ years of backend engineering experience with Python, Go, or Rust, including significant time building platforms or infrastructure used by other engineering teams. - Strong understanding of high-traffic API design: schema evolution & versioning, idempotency, authentication patterns, rate limiting, and performance tuning. - Hands-on experience building and operating API gateways, reverse proxies, or routing layers: authentication and authorization, rate limiting and quotas, request routing, traffic shaping, and per-request observability. - Experience building API governance tooling: contract-first API design, breaking-change detection and API linting in CI, versioning and deprecation workflows, and SDKs and documentation generated from the contract. - Platform depth across the build and deploy path: you have owned CI/CD pipelines, container builds and base images, infrastructure as code, and progressive delivery (canary or blue-green) on a major cloud. - A track record of owning a platform end to end: identifying the need, designing it, aligning the teams that depend on it, shipping it, and operating it, while raising the engineering bar for the teams building on it. - Strong customer empathy and product sense, ensuring the APIs you build are ergonomic, well-documented, and easy to adopt for developers and agents alike. Strong plus: - Experience with modern AI APIs (including latency tuning, streaming, model orchestration, emerging technical standards). - Usage-based billing and metering systems, multi-tenant organization and identity models, and usage analytics pipelines. - Observability for API platforms: structured logging pipelines, metrics, tracing, and SLO tooling.

Location: Remote US At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. About the Operations team The Operations team delivers seamless customer experiences and enables new product capabilities while ensuring operational excellence. The team owns strategy, planning, technical execution, customer service, fraud operations, process design, quality, training, and program management. We drive efficiency, resolve issues quickly, and scale operations as the business grows. Our goal is to deliver seamless support while maintaining high standards and reducing risk. About the role As a Fraud Operations Manager, you will play a critical, strategic leadership role responsible for overseeing operations across multiple Fraud Operations teams and pods, including those focused on disputes and compliance work. You will lead and develop people leaders and Individual Contributors (ICs) and be accountable for defining and executing a strategy to improve team function and drive scalable efficiency. A primary focus is cultivating a high-performance, psychologically safe culture that ensures teams meet business objectives, including productivity and accuracy, while fostering a strong sense of belonging, inclusion, and personal development. What you'll do Lead & Develop Talent Lead, coach, and develop a group of people leaders and Individual Contributors (ICs) across multiple, specialized teams/pods, providing ongoing feedback, performance management, and career development to build long-term organizational capability. Drive team performance using key metrics such as productivity, quality, customer outcomes, and service levels Foster a high-performing, engaged team environment that operates effectively in a fast-paced, evolving environment Partner with recruiting to hire, onboard, and retain top talent Set Strategy & Own Program Performance Define and champion a clear operational strategy and roadmap to significantly improve the function, efficiency, quality, and compliance of your assigned teams/pods. Drive operational excellence by leveraging domain expertise to identify and implement transformational changes and efficiencies that simplify investigator workflows. Ensure full accountability for service levels and productivity of assigned areas, proactively managing queue health through data-driven burn down plans to maintain a healthy buffer. Drive Cross-Functional Alignment Translate broader business goals into clear team-level objectives, providing clear, transparent communication to ensure operational alignment. Proactively identify and mitigate systemic issues by looking beyond standard reporting and collaborating with cross-functional partners. Serve as the ultimate escalation point for complex merchant, user, or internal stakeholder issues, establishing robust frameworks for incident resolution Research and resolve risk events stemming from process breakdowns. What we look for 6+ years of direct experience in disputes,  fraud risk prevention and detection within FinTech/tech industry 5+ years of experience in fraud management or related people management roles, including proven experience leading managers or senior ICs. Demonstrated success setting strategy and delivering large-scale operational change with measurable impact on efficiency, quality, and customer experience. Strong strategic planning, risk management, and prioritization skills, with the ability to balance short-term delivery and long-term capability building. Exceptional executive communication and influence skills, with the ability to align diverse stakeholders. Proven experience in leading teams through major change and comfort with ambiguity. Ability to maintain composure and act as a role model when presented with barriers or when results are not as expected. Experience with AI project-driven initiatives (e.g., leveraging AI-enabled tools, agent assist, or automation to improve operational efficiency or knowledge management). Experience in Lean Six Sigma, continuous improvement practices, and/or data-driven methodologies to drive scalable efficiency. Working knowledge of scripting & querying languages (e.g., Python, SQL) is a plus. Base Pay Grade - J Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.) USA base pay range (CA, WA, NY, NJ, CT) per year: $130,000 - $180,000 USA base pay range (all other U.S. states) per year: $115,000 - $165,000 #LI-Remote Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: Annapolis, MD Position Objective: Under general supervision, the Clinical Staff Pharmacist facilitates the safe, high quality, effective and economic use of drugs. This responsibility includes the accurate preparation and dispensing of pharmaceuticals according to established departmental policies and procedures. Essential Job Duties: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Partakes in a rotating staffing schedule, including day and evening shifts, weekend rotations, holidays, and overnight coverage based on departmental needs. Verifies the accuracy of order entry by authorized prescribers in computerized patient medication profiles. Reviews written medication orders or prescriptions to determine appropriate ingredients, strength, and dosage. Reviews medication orders for: potential allergies, drug/drug and food/drug interactions, route of administration, appropriate dose and potential for adverse drug reactions with other medications ordered. Contacts the prescriber, as appropriate, to clarify orders and/or make recommendations concerning alternate therapies. Provides drug information to patients, physicians, nurses, and other clinical staff where appropriate and upon request. Supervises the daily operational duties in the dispensing area to which assigned, including assisting and assigning, closely monitoring and reviewing the work of Pharmacy Technicians, to assure accurate and timely delivery of medications. Participates in patient care rounds and unit based services, which may include: medication reconciliation, promoting medication efficacy/safety/cost improvement initiatives, participation in unit process improvement activities, and patient education & follow-up as appropriate. Participates in improvements in interdepartmental policies and procedures which support the Pharmacy Department and Hospitals strategic goals. Maintains accurate records as required by departmental policies and procedures and/or federal and state board regulations. Completes all core competencies and documents clinical activities accurately and according to policies and procedures. Supports the Investigational Drug Service in the daily operations of the department. Educates and supervises Pharmacy Technician in the preparation of intravenous admixture solutions and chemotherapeutic agents, using aseptic technique. Completes formal in-service, formulary addition/deletion, assimilation of evidence-based protocol/order-set, medication safety related activities and/or targeted medication expense reductions. Educational/Experience Requirements: The minimum level of education and experience for this position includes: Doctor of Pharmacy Degree or Bachelor of Science in Pharmacy with commensurate experience required. At least 1 year of experience in an inpatient setting required. PGY-1 residency or Board Certification preferred. Required License/Certifications: Current Maryland State License Working Conditions, Equipment, Physical Demands: Light work. Exerting up to 20 pounds of force occasionally, and/or up to 10 pounds of force frequently, and/or a negligible amount of force constantly to move objects. If the use of arm and/or leg controls requires exertion of forces greater than that for sedentary work and the worker sits most of the time, the job is rated for light work. There is a reasonable expectation that employees in this position will be exposed to blood-borne pathogens. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception, and ability to adjust focus. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities or requirements. Pay Range $65 — $75 USD Luminis Health Benefits Overview: •    Medical, Dental, and Vision Insurance •    Retirement Plan (with employer match for employees who work more than 1000 hours in a calendar year) •    Paid Time Off •    Tuition Assistance Benefits •    Employee Referral Bonus Program •    Paid Holidays, Disability, and Life/AD&D for full-time employees •    Wellness Programs •    Employee Assistance Programs and more *Benefit offerings based on employment status Opt-in for text notifications! Luminis Health's two-way SMS texting platform lets you receive notifications and messages from our Talent Acquisition team directly on your phone. To enable this feature, select "yes" when asked to "opt-in to receive text messages" and to "Receive updates from a recruiter about this job via SMS" when completing your application. Once you are opted in, you can easily opt-out at any time. Standard text messaging rates may apply based on the candidate's mobile carrier plan. Luminis Health is not responsible for any charges incurred by the recipient. Candidates are encouraged to review their mobile carrier's plan for applicable text messaging rates and usage charges.

Location: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role: Your job is to lead the team building Alpaca's algo trading platform to satisfy our users who expect high quality and performance from their brokerage service. You will design and architect our platform by wearing many different hats in a small team. As a Team Lead you will still write code and make critical technical decisions, but you are also accountable for how the team works: what it builds, how it prioritizes, how it grows, and how reliably it ships. This is a hands-on leadership role, not a pure management role. We expect you to stay close to the code and the system, and to spend a meaningful part of your time in the codebase, in design reviews, and on production issues. At the same time you will own the team's roadmap, its delivery, and the development of the engineers on it. The technical bar for this role is the same as our Senior/Staff Software Engineer bar: deep knowledge in both frontend and backend, databases and distributed systems, as well as broad experience from low to high level in CPU-level hardware for high throughput, robust concurrency system design, abstract distributed system architecture for high availability and object-oriented data modeling with long term growth in mind. You must have previous software engineering experience with trading or exchange systems (OMS, EMS, exchanges, market making, algorithmic trading, quant trading), and previous experience leading engineers. What you will own: Technical direction and architecture for the team's services, including trade-off decisions and their long term consequences Roadmap and delivery: breaking down ambiguous business goals into scoped, sequenced engineering work and shipping it predictably Day-to-day execution: sprint or cycle planning, unblocking engineers, keeping work in flight visible to stakeholders Code and design quality: setting the standard through reviews, design docs, and your own contributions Production ownership: reliability, latency and correctness targets for the team's systems, on-call health, and incident follow-through People: hiring, onboarding, 1:1s, feedback, performance and career growth for a small team of engineers Cross-team collaboration with product, operations, compliance, clearing and the other engineering teams Requirements: Strong, experienced software engineer at a senior or staff level who has led a team, formally or as a tech lead Demonstrated ability to grow engineers: mentoring, feedback, and raising the level of people around you Track record of delivering complex systems on schedule, including scoping, sequencing and cutting the right things Coding skills in both low and high level languages around C/C++, Go, Zig, Rust, Java, Scala, Python Low latency and high throughput optimization Experience with messaging queues and message brokers Analytical data-oriented mindset and skills Knowledge of algorithms, distributed systems, scalability, high availability, databases, low latency systems and concurrency control System design skills with object-oriented data modeling, service-oriented architectures, system abstraction Experience with the development and implementation of Order Management systems (OMS) and Risk Management systems (RMS) Clear written and verbal communication, including with non-engineering stakeholders Comfort operating with ambiguity and limited process, as expected at an early stage startup Nice to have: Experience hiring and building out an engineering team from a small base Experience owning a production trading or brokerage system as the accountable lead Algo trading experience (either professional or personal) FIX protocol knowledge Experience with observability, tracing, continuous profiling and benchmarking Financial market (exchange, broker-dealers, clearing, etc.) knowledge Experience with financial ledgers Statistical and quantitative analysis skills Experience with major cloud platforms (we primarily use GCP) Experience with Docker and Kubernetes Experience working with distributed, remote-first teams across time zones How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. 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Location: London, England, United Kingdom EQT is looking for a Product Lead, Investment Value Stream — a product leader who combines strategic thinking with technical depth, and the credibility to partner with investment professionals, operating leaders, product development & engineering teams across the deal lifecycle. This role sits at the heart of EQT's ambition to become the leading AI-centric investment organisation. About the Team The Investment Value Stream (IVS) is the product and technology function supporting EQT's investment organization, covering the end-to-end lifecycle process. We serve investment professionals, committee members & executives across business lines and asset classes, including across deal services, operations & control functions You will lead the product function for pre-deal and deal & relationship management activities within IVS, comprising a team of product managers, engineers and designers. About the Role Senior product leadership in EQT's Investment Value Stream, covering pre-deal intelligence, diligence & deal execution alongside end-to-end deal and relationship management. The Head of IVS sets overall portfolio strategy with business line leadership; whereby you will own multiple products & initiatives formulating part of this view. Each requires coherent product visions, strategic & cross-product roadmaps, sequencing, engagement & communications plans, with consistent delivery of capabilities & value to the business. Scope is deliberately open-ended and will likely expand over time, with much of the role centred on driving business process, tech & AI transformation at the core of EQT. Activities may span areas like sourcing and origination, research, diligence, Committee processes, deal management & relationship management workflows. This also includes knowledge and intelligence layers, supported by many AI agents, enterprise systems, data platforms, contracts & vendor relationships. Strong value-based alignment with EQT's stakeholder groups is essential throughout. What You'll Do Own product strategy, cross-product initiatives and roadmaps across pre-deal, and deal & relationship management lifecycle; building clear objectives and measurement criteria Driving transformation alongside product builds — programme & project management, process re-design, new ways of working, driving adoption across business lines Arbitrate competing demand & objectives across business lines & stakeholder groups; creation of decision frameworks, optimization criteria and sequencing Deep-dive selectively: take direct, hands-on product ownership of a capability when it requires a ramp-up, or when other strategic initiatives are blocked. Ability to also dive into technical data concepts including data modelling, pipelines, graphs and context management in conjunction with engineering teams Represent the product portfolio & stakeholder interests in SteerCo and governance forums: contributing to core content, narrative development, and decision-making, whilst communicating impact with rigour Key role in building out a stronger product organisation – coaching other team members, providing domain expertise, setting the bar on proactive relationship development, requirements discovery, prioritization, value quantification & delivery About You You are a product leader with a strong record of delivery on high-impact initiatives. Your experience dealing with senior stakeholders guides a strong sense of commercial acumen, analytical rigour, and technical depth to guide the deployment of AI. This profile requires building credibility with investment professionals and the engineering organization across the globe. You’ll also be equally adept managing communications, handling competing agendas, diving hands-on wherever tight deadlines demand it. Above all, you’re naturally curious on where technology can truly create value in private markets, with an underlying drive & collaborative mindset to make it happen. What Good Looks Like Working to the rhythm of PE investment cycles and demands on information velocity Working openly across disciplines: sharing context early, inviting challenge, developing others Synthesising complex information into coherent narratives with clear actions Building standing partnerships with executives, deal teams and senior operational leaders Owning product strategy, prioritization and roadmaps across multiple capabilities, business lines, products or streams Owning delivery of AI-centric products, investment workflows and strategic agendas Managing complex stakeholders and facilitating collaboratively across competing interests Leading business and technology transformation at scale, including process redesign, cross-division programmes, data, systems AI integration Contributing towards EQT’s strong sense culture of continuous improvement What We Offer EQT offers a rare opportunity to shape how one of the world's leading private markets firms applies AI at scale. You'll work alongside sharp minds in finance and technology, with the mandate and resources to build something genuinely impactful. We're committed to a high-trust environment where what you deliver matters more than tenure. Compensation & Benefits Notice We offer a competitive total rewards package including base salary, determined based on the role, experience, skill set, and location. Eligible employees may also receive discretionary incentive compensation, awarded in recognition of individual performance and company results. EQT provides a comprehensive benefits offering designed to support employee wellbeing, development, and work-life balance. Benefits include paid time off, parental leave, wellbeing and wellness support, flexible working arrangements, and learning and development opportunities. Benefits are effective from the first day of employment and may vary by location and role. Inclusion at EQT Our vision for EQT employees is to build high performing & engaged teams. Our competitive edge comes from fostering an environment where every individual feels valued, empowered, and motivated to drive business impact. Our commitment to inclusion is not just about fairness; We understand and believe that being a great place to work drives the best performance.At EQT, inclusion is a business imperative and it's embedded into our talent strategy, decision-making, and culture to ensure that every individual and team operates at their full potential. By doing so, we unlock better collaboration, stronger innovation, and superior investment outcomes. About EQT EQT is a purpose-driven global investment organization focused on active ownership strategies. With a Nordic heritage and a global mindset, EQT has a track record of more than three decades of developing companies across multiple geographies, sectors and strategies. EQT has investment strategies covering all phases of a business’ development, from start-up to maturity. EQT has €‌​​354​‌ billion in total assets under management (€195​‌ billion in fee-generating assets under management) as of 30 September 2026, within four business segments – Private Capital, Infrastructure, Real Estate and Secondaries. With its roots in the Wallenberg family’s entrepreneurial mindset and philosophy of long-term ownership, EQT is guided by a set of strong values and a distinct corporate culture. EQT manages and advises funds and vehicles that invest across the world with the mission to future-proof companies, generate attractive returns and make a positive impact with everything EQT does. The EQT AB Group comprises EQT AB (publ) and its direct and indirect subsidiaries, which include general partners and fund managers of EQT funds as well as entities advising EQT funds. EQT has offices in more than 25 countries across Europe, Asia and the Americas and has more than 2,200 employees. More info: www.eqtgroup.com Follow EQT on LinkedIn , X , YouTube and Instagram