Top Software Engineer Jobs Openings in 2025

false

About Loop Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data—trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100. We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly. Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy. About the New Grad Program Most AI stays in the browser. Ours moves atoms. You aren't just building features; you are building the autonomous brain for the Fortune 100’s global supply chain. This program is designed to compress 3 years of learning into 1 year by throwing you into the deep end of production AI systems on Day 1. Instead of sandboxed projects, you get to solve real problems and impact customers directly. This program demands intense investment, but by the end, you will perform as a strong entry-level engineer jumpstarting your career. The Schedule: Week 1 (Onboarding): Deep dive into tools and domain. You will ship code to production on Day 1 and fully grasp our dev loop by Friday. Months 1-3 (Velocity): You will deliver 3 entry-level projects with increasing ambiguity. By the end of Month 3, you are expected to operate as a fully independent engineer. Months 4-9 (The Rotation): You will rotate onto a different high-impact team to expand your surface area. Tracks include: Platform: AI infrastructure and Engineering Systems. Core Product: Audit, Billing, and Payments logic. Commercial: Revenue Activation and Forward Deployed Engineering. Special Projects: Partnering directly with the CEO/CTO and other execs Month 9+ (Graduation): You should demonstrate Mid-Level Engineer performance and will be considered for immediate promotion.   About You We are not looking for just “straight-A students." We are looking for obsessive builders with spikes. If the following resonates, you belong here: You build on nights and weekends. You have a repo, a side hustle, or a project you built just because you were curious. You don't wait for class assignments to write code.You hate waiting for approval. You prefer to ship, break, fix, and apologize rather than wait for a committee decision.You are bored by easy tasks. You want problems that are more than 1 prompt away from a solution. You grind to win. You are the type to skip social events just to climb the Esports ladder, ace a math competition, or debug a complex issue—purely for the joy of mastery. Responsibilities Ship critical infrastructure. Manage real-world logistics and financial data for the largest enterprise in the world..  Own the why. Build deep context through customer calls, and understand the Loop’s value to our customers. You push back on requirements if you see a better, faster way to solve the customer’s problem. Full-stack proficiency. Work across system boundaries, from frontend UX to LLM agents, database schema and event infrastructures. Leverage AI tools to handle the 90% boilerplate, so you can focus the highest leverage 10%: quality, architecture, product taste. Raise the velocity bar. You will constantly optimize our dev loops, refactor legacy patterns, automate your own workflows and fix broken processes. Qualifications Graduating with a BS or higher in STEM fields; available to start full-time in 2026. Working in person in the SF, Chicago, or NYC office 4 days a week. Proficiency with modern techstack. You can deliver a modern web app in hours not in days.. Unblocking yourself. You thrive in ambiguity. Despite the chaos, you deliver high quality products and business impact. AI Literate. You have strong intuition on how LLM works: where they excel and where they generate slop. You live and breathe AI native tools (Cursor, Codex, Claude Code etc.) Compensation $150,000 annual base pay Benefits & Perks Fully paid health insurance. 401k with matching. Unlimited PTO. Generous professional development budget. Commuter benefits. Wellness benefits Phone plan stipend

false

About Loop Loop is the data platform for the global supply chain. Logistics runs on messy, unstructured data—trapped in PDFs, emails, and legacy systems. We use AI to structure this chaos, creating a "source of truth" that automates payments and audits for the Fortune 100. We are building the financial nervous system for a $100 trillion physical economy. Our technology ensures freight moves efficiently and carriers get paid instantly. Backed by Founders Fund, Index Ventures and 8VC, we are scaling rapidly. We are looking for engineers ready to deploy production AI that powers the physical economy. About the New Grad Program Most AI stays in the browser. Ours moves atoms. You aren't just building features; you are building the autonomous brain for the Fortune 100’s global supply chain. This program is designed to compress 3 years of learning into 1 year by throwing you into the deep end of production AI systems on Day 1. Instead of sandboxed projects, you get to solve real problems and impact customers directly. This program demands intense investment, but by the end, you will perform as a strong entry-level engineer jumpstarting your career. The Schedule: Week 1 (Onboarding): Deep dive into tools and domain. You will ship code to production on Day 1 and fully grasp our dev loop by Friday. Months 1-3 (Velocity): You will deliver 3 entry-level projects with increasing ambiguity. By the end of Month 3, you are expected to operate as a fully independent engineer. Months 4-9 (The Rotation): You will rotate onto a different high-impact team to expand your surface area. Tracks include: Platform: AI infrastructure and Engineering Systems. Core Product: Audit, Billing, and Payments logic. Commercial: Revenue Activation and Forward Deployed Engineering. Special Projects: Partnering directly with the CEO/CTO and other execs Month 9+ (Graduation): You should demonstrate Mid-Level Engineer performance and will be considered for immediate promotion.   About You We are not looking for just “straight-A students." We are looking for obsessive builders with spikes. If the following resonates, you belong here: You build on nights and weekends. You have a repo, a side hustle, or a project you built just because you were curious. You don't wait for class assignments to write code.You hate waiting for approval. You prefer to ship, break, fix, and apologize rather than wait for a committee decision.You are bored by easy tasks. You want problems that are more than 1 prompt away from a solution. You grind to win. You are the type to skip social events just to climb the Esports ladder, ace a math competition, or debug a complex issue—purely for the joy of mastery. Responsibilities Ship critical infrastructure. Manage real-world logistics and financial data for the largest enterprise in the world..  Own the why. Build deep context through customer calls, and understand the Loop’s value to our customers. You push back on requirements if you see a better, faster way to solve the customer’s problem. Full-stack proficiency. Work across system boundaries, from frontend UX to LLM agents, database schema and event infrastructures. Leverage AI tools to handle the 90% boilerplate, so you can focus the highest leverage 10%: quality, architecture, product taste. Raise the velocity bar. You will constantly optimize our dev loops, refactor legacy patterns, automate your own workflows and fix broken processes. Qualifications Graduating with a BS or higher in STEM fields; available to start full-time in 2026. Working in person in the SF, Chicago, or NYC office 4 days a week. Proficiency with modern techstack. You can deliver a modern web app in hours not in days.. Unblocking yourself. You thrive in ambiguity. Despite the chaos, you deliver high quality products and business impact. AI Literate. You have strong intuition on how LLM works: where they excel and where they generate slop. You live and breathe AI native tools (Cursor, Codex, Claude Code etc.) Compensation $150,000 annual base pay Benefits & Perks Fully paid health insurance. 401k with matching. Unlimited PTO. Generous professional development budget. Commuter benefits. Wellness benefits Phone plan stipend

false

About P-1 AI:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world. Our first product is Archie, an AI engineer capable of quantitative intuition over physical product domains and engineering tool use. Archie initially performs at the level of an entry-level design engineer but rapidly gets smarter and more capable. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).About the role: We’re a small team tackling an ambitious problem. At the core of our solution is an intelligent, agentic platform that acts as a tireless teammate which can perform all of the same actions that human engineers can, from developing an intuition about the company’s products and the physics at play in their design, to accessing and using information systems, to decomposing performance requirements and developing them into design solutions. Archie must be scalable, responsive, and competent, and must also be deployable within the corporate networks of our customers so that he can see their most valuable information and do his job well.Our Senior SWE for the Agentic AI Platform will design and implement solutions for these challenges, which range from classic distributed systems, integration, and security work, to robustly implementing advanced intelligence features developed by our AI research team. Ownership comes by default, but as Archie becomes more sophisticated we also have potential growth into technical leadership for specific specialty areas.This role can be either remote (based in US or Canada and with existing work authorization) or based in our San Mateo Bay Area office. If you are remote, you should plan to spend one week out of six co-working with the rest of the company in our San Mateo office. We will support relocation for candidates interested in moving to the Bay Area.Why this role:This role is where AI meets reality. Every user that works with Archie will be using features and capabilities that you have built, no matter the industry or context.What you’ll do:Work with our team to understand our Archie capability roadmap and decompose capabilities into technical development.Turn capability prototypes and PoCs from our AI research team into robust, scalable implementations.Diagnose and solve technical problems identified by our team or users.Develop and act on automated platform tests, including traditional software testing, agentic AI evals, and infrastructure.Improve Archie’s scalability and robustness through system architecture design and implementation.Who you are:You’ve consistently taken technical ownership of production-grade software.You’re experienced with application development in Python.You’ve built and implemented data models and database interactions.You develop an obsession with understanding your users’ goals and incorporating this knowledge into your solutions.Take pride in developing quality code and practices.Are aggressively seeking ways to use AI better in your own workflows.Our values:Mission obsession & urgency: We are obsessed with building engineering AGI as quickly as possible. We also recognize that as a startup, speed is our most precious competitive advantage. We are constantly asking ourselves what we can do to go faster. We make tradeoffs and sacrifices (personally and in the workplace) in exchange for speed.Intellectual excellence & curiosity: We ask “what if?” and experiment liberally. We always look for better ways of doing something. We read voraciously. We challenge each other to be better. We surround ourselves with A players and we actively and unapologetically reject B players (and even B+ players⸺because they tend to surround themselves with C players).Shipping discipline: We treat production with respect. We test and demo our product constantly. We listen attentively to our customers, users, and stakeholders, and we respect our commitments to them. We also respect our commitments to each other and will go the extra mile (or ten or one hundred) to honor them.Ownership: We all have significant ownership stakes in the company and operate in founder mode. We believe in hierarchical requirements but not in hierarchical information flows. If we see that something is broken or can be done better, we flag it and we fix it. We encourage each other to play with and fix anything and everything... but there’s a clear owner for everything.Interview process:Initial screening call (30 mins)Biographical/behavioural interview (45 mins)Technical interview (60 mins)CEO interview (30 mins)Compensation:Salary: $200k - $250k.This role includes a significant equity component. We are an early-stage startup, so we favor equity over cash in our current compensation philosophy. This role is best suited for candidates who value long-term ownership and impact over short-term cash optimization. Our benefits include healthcare, dental, and vision insurance, 401k with employer matching, unlimited PTO.

false

Replicant is the industry leader in voice AI for customer service since it was founded in 2017. When you dial the customer service number of one of our customers–like AAA or Fanatics – our bot answers the phone. Over 50% of callers do not even need to talk to a human, and they rate the interaction higher than if they did so. We do this with AI that feels human, scales securely, and delivers real business results. We are backed by top tier Silicon Valley investors and growing rapidly. We are based mostly in the SF Bay Area, Toronto, and New York, and much of our team is distributed throughout other parts of the US and Canada.Joining Replicant means working on technology that makes customer service both better and cheaper, for a gigantic market of millions of potential customers. We solve huge challenges with a small team, so every improvement you will ship makes a huge difference.We’re looking for a Full Stack Software Engineer to join Replicant’s engineering team! As part of our team, you’ll design and deliver technology that powers natural, human-like conversations at scale, helping companies reduce wait times, improve customer satisfaction, and empower representatives to focus on complex problems. You’ll build rich user experiences and backend services that enable customers to design, launch, and monitor these AI-powered conversations. You’ll collaborate closely with our product and machine learning teams to ensure our customers can build compelling and delightful conversations for their callers. Our stack includes TypeScript, Node.js, React, and Python in Kubernetes on GCP.What You’ll DoBuild new features powering millions of daily conversations on Replicant’s core AI voice and chat productsShip full stack end-to-end features with high impact in days, not weeks or monthsIntegrate automatic speech recognition, text to speech, and conversational AI model improvements into Replicant’s productsRefractor, optimize, and debug production systems balancing latency, cost, and user delightParticipate in regular on-call rotations, monitoring live production systemsContinuously improve systems based on performance metrics and customer feedbackShape a fast-moving culture that emphasizes knowledge sharing and mentorship across distributed systems, high-availability design, and user experience for enterprise-scale AIParticipate in team and company-wide office events; travel requiredWhat You'll Bring5+ years of full-stack software engineering experience, ideally in SaaS, AI, or complex real-time systemsProven experience owning and shipping elegant, maintainable, continuously improving solutions that scale to millions of usersHistory of raising the bar for great engineering in your teams, with strong collaboration skills favoring impact over processStrong communication skills that build trust with teammates and stakeholdersMastery of AI tools for writing, improving, debugging, and refactoring large code basesDemonstrated experience designing and implementing quality testing for systems you’ve built, including automated, manual, and AIMastery of one or more of the followingTypeScript and frontend frameworks (React or similar)Node.Js for production-grade backend systemsPythonRust, LLM prompt engineering, Google Cloud Services, KubernetesFamiliarity with all of the followingRelational databases (MySQL, PostgreSQL)Cloud environments (AWS, GCP, or Azure) and CI/CD pipelinesMetrics, logging, and monitoringEnthusiasm for AI, machine learning, telephonyFor all full-time employees, we offer:🌴 In-person connection that counts: company-wide offsites and smaller team gatherings designed to make remote work feel personal🖥️ Tech & learning stipend: Conferences, books, courses — interested? We’ll fund them📍 Remote by design: We’re distributed — no guilt about life events, we trust you to manage your calendar🏋️ Health & wellness: Flexible vacations, paid sabbatical after 5 years, comprehensive benefits, plus a stipend to support your physical and mental well-being💸 Compensation that matches your impact: competitive salaries in the company you’re helping to build📈 Equity with upside: We believe in shared ownership—You’ll own a real piece of a fast-growing AI companyOur ValuesReplicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.Replicant is proud to be an equal opportunity employer. We are committed to fostering an inclusive, diverse and equitable workplace that is built on trust, support and respect. We welcome all individuals and do not discriminate on the basis of gender identity and expression, race, ethnicity, disability, sexual orientation, colour, religion, creed, gender, national origin, age, marital status, pregnancy, sex, citizenship, education, languages spoken or veteran status. Accommodation is available upon request at any point during our recruitment process. If you require an accommodation, please speak to your talent acquisition partner or email us at talent@replicant.ai and we’ll work to meet your needs.

false

About Peak HealthPeak Health is a longevity-focused digital health company building technology to help people live longer, healthier lives through proactive, continuous care.Instead of reactive, episodic healthcare, Peak Health focuses on long-term health optimization — combining modern medicine, data, and software to support prevention, early intervention, and personalized care over time. Their platform connects patients, clinicians, and care teams through intelligent workflows that make longevity care scalable, measurable, and actionable.Role OverviewWe are looking for a Senior Full-Stack Engineer (Backend-leaning) to join Peak Health’s engineering team and help build core patient- and provider-facing experiences.This role has a strong backend emphasis, while still owning meaningful frontend and system responsibilities. You’ll work on mission-critical workflows, ship production-grade features end-to-end, and collaborate closely with Product, Design, and other Engineers.You’ll also play a key role in building AI-powered features, ensuring they are reliable, observable, and safe for use in real healthcare contexts.Role ResponsibilitiesShip production-grade backend and frontend features for core member and provider flows using React, TypeScript, APIs, and data layers, with high polish and reliability.Own features end-to-end: spec → build → test → deploy → monitor, including handling complex state, permissions, and edge cases.Build and maintain robust system hygiene: instrumentation, dashboards and alerts, CI/CD pipelines, code reviews, and production debugging.Design, implement, and maintain AI-powered workflows, including:Tool/function callingStructured outputsRetrieval-Augmented Generation (RAG)Evals, tracing, and observability (e.g., LangSmith, Helicone)Prompt versioning and guardrailsBuild and operate workflow / agent “flows” using orchestration patterns similar to Temporal, Dagster, or Airflow, including retries, idempotency, async job queues, and failure handling.Collaborate closely with cross-functional partners to deliver reliable, scalable, and user-centric healthcare products.Required SkillsStrong experience building consumer-grade backend applications (this is the most important requirement).Advanced proficiency with React and TypeScript.Experience building and maintaining backend APIs and data flows.Proven ability to own features end-to-end in production environments.Strong understanding of systems reliability, observability, and operational debugging.Experience working with modern LLM tooling, including:Tool/function callingRAG architecturesStructured outputsTracing, evals, and observabilityComfort working with asynchronous systems, job queues, retries, and orchestration patterns.Strong product mindset and ability to balance speed, quality, and real-world impact.Desirable SkillsExperience in healthcare, healthtech, or regulated environments.Familiarity with workflow orchestration frameworks (Temporal, Dagster, Airflow, or similar).Prior experience building AI-driven user-facing products.Exposure to data instrumentation, metrics, and monitoring at scale.Strong collaboration skills and comfort working in small, high-ownership teams.Experience working remotely with distributed teams.

false

LandingAI is a leader in Agentic Document Intelligence. Our flagship solution, Agentic Document Extraction (ADE), replaces traditional OCR with layout-aware AI system that parses complex documents without the need for rigid templates. By providing visual grounding for full auditability, ADE enables high-stakes industries like financial services and healthcare to extract valuable data and to automate critical workflows with unmatched accuracy. In addition to document intelligence, we offer the LandingLens™ platform for vision-AI anchored computer vision applications including inspection, defect detection and robotics. About the Role: As a Software Engineer at LandingAI, you will build and maintain core web applications and services that power our AI-driven products. While you will not be responsible for developing machine learning models, you will work very closely with ML engineers to integrate ML capabilities into scalable, reliable, and user-friendly software systems. This role sits at the intersection of software engineering and applied AI, enabling ML innovations to reach customers through high-quality products.Key Responsibilities:Design, develop, and maintain web applications and backend services that integrate ML-powered features.Collaborate closely with Machine Learning Engineers and Product Managers to understand ML system requirements and translate them into robust software solutions.Build reliable, scalable, and low-latency services that support ML inference, data workflows, and AI-driven user experiences.Use LLMs to build scalable and reliable AI agents.Own the full software development lifecycle: design, implementation, testing, deployment, monitoring, and maintenance.Ensure high standards for code quality, testing, observability, and operational excellence.Troubleshoot production issues and participate in on-call or support rotations when needed.Mentor junior engineers and contribute to technical best practices across teams.Act as a strong cross-functional partner between product, engineering, and ML teams.Required Qualifications:Minimum of 5 years of professional experience in software engineering.Advanced skills in Python, web backend development, and building AI agents.Knowledge of containerization tools (Docker, Kubernetes) or cloud platforms (AWS, GCP).In-depth understanding of web application architecture and API design principles.Proven experience integrating with external services or intricate backend systems.Experience working with LLMs to develop AI agents that are scalable and reliable.Experience evaluating and benchmarking AI products.Demonstrated ability to work autonomously, showing high ownership and accountability.Excellent communication skills and experience collaborating effectively with diverse, cross-functional teams.Flexibility to adjust working hours to accommodate the needs of a global team.Experience using AI Coding Agents like Claude Code to develop reliable, scalable and high quality code.Valuable / Bonus Qualifications:Experience with ML frameworks like PyTorch.Experience with serving ML models and LLMs (vLLM).Experience collaborating with Machine Learning (ML) or data teams.Familiarity with ML concepts, including inference, model serving, latency considerations, and data pipelines.Experience utilizing PostgreSQL, Object-Relational Mappers (ORMs), ETL pipelines.Experience developing developer-facing tools or internal platform solutions.LandingAI Benefits: Stock Options – We want you to share in our success with equity grants.Comprehensive Healthcare – Medical, dental, and vision coverage for you and your dependents.*Wellness Stipend – Support for your health and well-being, whether it’s fitness programs or self-care.*Lifelong Learning – An education stipend to help you grow and keep learning.Generous PTO – We know life happens outside of work, and we want you to enjoy it.*Global Team & Fun Events – Work with amazing colleagues across North America, Latin America, and Asia, and connect through virtual and in-person events.*Benefits may vary based on your country of employment. We deeply value true leadership, ownership, and an entrepreneurial mindset. We appreciate people who take pride in their work, follow through on commitments, and turn ideas into results.If this sounds like you, then you’ll feel right at home with us — and we’d love to connect.

false

We’re looking for a Platform Engineer, Applied Evaluations to define and operationalize quality for the agentic systems that power Antimetal’s investigation and automation engine.This role is core to our product. You’ll own online and offline evaluation pipelines that operate over petabytes of infrastructure data, and shape agent platform abstractions where necessary to ensure our agents are measurable, debuggable, and reliable. You’ll partner closely with platform, product, and research, leveraging quality signals to accelerate iteration across the company.About AntimetalAntimetal is building the future of infrastructure management. We're starting by creating a platform that investigates, resolves, and prevents issues—giving engineers their time back to focus on what they do best: building great products.What you'll do:Own the evaluation stack: Build online and offline eval pipelines that measure agent quality across ephemeral, voluminous MELT data, code, and unstructured docs. Set the metrics that define the experience.Define quality at scale: Production incidents span hundreds of services–ephemeral, high-volume, and where ground truth is approximative. Design evals that capture trajectory quality, not just final outputs, and validate that your metrics predict real outcomes.Build platform abstractions for agents: Design core agent architectures and extend internal frameworks (e.g. sub-agents, MCPs, middleware) – that lets product, platform, and research iterate with confidence and ship faster.Productionize: Own latency, observability, and uptime.What you do:At least 3 years of experience in ML platform engineering, data engineering, or a related role, preferably at a high-growth company.Prior experience designing evaluation systems where ground truth is noisy, high-volume, and hard to label (e.g. computer vision, deep research pipelines)Strong system design skills: you think about how data flows through distributed systems and how decisions compound at scale.Proven ability to write clean, scalable code and strong data modeling skills.Demonstrated ability to bring ambiguous goals from prototype to production, using data and experimentation to drive product and architectural decisions.Proficient in Python and Typescript, with experience using common ML libraries and data engineering tools.Bonus:Experience with SRE-best practices and modern observability (OTEL, distributed tracing)Strong on ML fundamentals: classification/regression, clustering, dimensionality reduction, evaluation + error analysis, probabilistic MLExperience with agent architectures: multi-step reasoning, tool use, context managementWho you are:Identify as a builderAre excited to work in-person from our new and spacious office in New YorkLove working in a startup environment (experience in a startup or obsession with going zero-to-one)Enjoy working with people who are ambitious, caring, and think in systemsThrive in a fast-paced iterative environment where experimentation is essentialWhat we bring:Pay & ownership — Competitive salary with generous equity grants.Full coverage + retirement — Fully covered health, dental, and vision, plus retirement benefits.Unlimited PTO — Take the time you need to recharge.Dinner on late nights — Working late? Dinner is on us.Fitness stipend — Monthly support for your health and wellness.Tools of the trade — Any equipment you need to do your best work.Commute perks — Citi Bike + train benefits.Interview processApplication Review – Send us your stuff, and a quick note on why you're excited.Intro Chat: Share what you're looking for next and learn more about what we're building.Founder Interview: Talk with one of our founders in more detail about the roleTechnical Interview: We’ll have you complete a short exercise specific to the role.Onsite: Come onsite and meet the team through a series of 1:1 interviews.Decision – We’ll move fast.

false

About ElicitElicit is an AI research platform that uses language models to help researchers figure out what's true and make better decisions, starting with common research tasks like literature review.What we're aiming for:Elicit radically increases the amount of good reasoning in the world.For experts, Elicit pushes the frontier forward.For non-experts, Elicit makes good reasoning more affordable. People who don't have the tools, expertise, time, or mental energy to make well-reasoned decisions on their own can do so with Elicit.Elicit is a scalable ML system based on human-understandable task decompositions, with supervision of process, not outcomes. This expands our collective understanding of safe AGI architectures.Visit our Twitter to learn more about how Elicit is helping researchers and making progress on our mission.The mission of Elicit evalsSome orgs build evals to warn us about dangerous capabilities. Others build evals to understand trends and predict future developments. Yet others build evals to hill-climb towards models that users will like more.At Elicit, we're focused on something different—we want to understand, and hill-climb towards, models that help us make better decisions.This is tougher than "what will users like better"—it's hard to evaluate decision support, and users' knee-jerk reactions may not align with what actually helps for decision-making. Because it's hard, and because the sales pitch is more complicated, there aren't many doing this well. If we nail this, we have a unique opportunity to push AI toward helping us make better decisions, both within Elicit and beyond.Why we're hiring for this roleWe need someone to own the technical foundation of our auto-evaluation systems. Our evals are currently much slower than they need to be, and our interfaces aren't optimized for the diverse set of people who need to use them—ML engineers iterating on models, product managers monitoring quality, and customers assessing trust in results.The right person for this role won't just build infrastructure. You'll think deeply about what it actually means for Elicit to help with decision-making in pharma and encode that understanding into our evaluation systems.What you'll ownThe core auto-eval platformYou'll build a comprehensive system that runs fast, is easy to use, and supports quickly building new evals:Speed: You’ll build a lightning-fast basic evals infrastructure that schedules tasks to introduce practically no latency; and then you’ll figure out clever ways to solve the fundamental sources of latency (building a version of Elicit, running it on a query, and evaluating it using LMs)Interfaces: ML engineers need evals to kick off automatically on relevant commits, with results they can see at a glance and drill into. Product managers need dashboards showing performance over time and what's going wrong in production.Architecture: Your code must be well-architected so other team members and ML engineers can understand and build on it. An engineer starting on a new feature should be able to quickly add examples and run an eval.Ensuring evaluations are accurate and reliableWe need to evaluate how well Elicit actually helps with decision-making in pharma, not just measure what's easy to measure. This requires encoding real knowledge about how pharma customers make decisions (for example, choosing appropriate gold standards).You'll provide appropriate statistical tests and confidence intervals so we can trust our results.A month in your lifeIn a typical month, expect to spend:60% working on the core eval platform15% working closely with the evals team to build and improve specific evals (e.g., an eval of our paper search within our systematic review flow)10% mentoring our evals engineering internThe rest on learning how people interact with the eval system so you can make it work better for them, and understanding what our users want from Elicit so evals measure what mattersWhat you bring to the roleRequirementsAt least 3 years of experience as a professional software engineer, with demonstrated experience building complex backend systems (e.g., backend for a complex website, data pipelines, etc.)Aptitude and interest in evaluating how Elicit helps with pharma decision-making. There's no particular experience you must have, but we'll evaluate your aptitude.Will make you more competitive for the roleKnowledge of statistics (for e.g. calculating power and credence intervals for evals)Experience with advanced Python (asyncio/trio and parallel processing strategies)Front-end experience and strong UX sensibility (you'll be building dashboards). TypeScript experience is a plus.Experience building developer tools (ML engineers are one of your most important clients)Previous experience as a data engineer or working on AI infrastructureKnowledge of pharma/biomedExperience evaluating ML systemsExperience building language-model-based systems (helps with understanding Elicit and how to evaluate it)This is a diverse list of nice-to-haves. We expect the candidate we select to have some, but not all, of these. Other team members can fill in for skills you lack.Location and travelWe have a lovely office in Oakland, CA, but we’re flexible about where you work. You’re welcome to work remotely, from our Oakland headquarters, or in a hybrid setup. The only in-person requirement is attending our quarterly team retreats, typically held on the west coast. Compensation, benefits, and perksIn addition to working on important problems as part of a productive and positive team, we also offer great benefits (with some variation based on location):Flexible work environment: work from our office in Oakland or remotely with time zone overlap (between GMT and GMT-8), as long as you can travel for in-person retreats and coworking eventsFully covered health, dental, vision, and life insurance for you, generous coverage for the rest of your familyFlexible vacation policy, with a minimum recommendation of 20 days/year + company holidays401K with a 6% employer matchA new Mac + $1,000 budget to set up your workstation or home office in your first year, then $500 every year thereafter$1,000 quarterly AI Experimentation & Learning budget, so you can freely experiment with new AI tools, take courses, purchase educational resources, or attend AI-focused conferences and eventsA team administrative assistant who can help you with personal and work tasksFor all roles at Elicit, we use a data-backed compensation framework to keep salaries market-competitive, equitable, and simple to understand. For this role, we target starting ranges of:Career (L3): $140-170k + equitySenior (L4): $165-200k + equity

false

Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewLegal professionals spend most of their day in Microsoft Word: drafting, reviewing, and refining complex documents that shape meaningful outcomes. Harvey in Word brings AI-powered capabilities directly into Word, enabling lawyers to draft faster, run playbook reviews, and perform agentic editing, all without leaving their workflow. It's one of our most strategic product lines and a key part of how we meet lawyers where they already work.As a Senior/Staff Software Engineer on the Embedded Experiences team, you will own and lead the development of Harvey in Word, our Microsoft Office Add-in built on OfficeJS, alongside our other Microsoft Office integrations. You'll architect and ship features that integrate seamlessly with Word, handling the unique challenges of building performant, polished experiences within the Office Add-in environment.We're looking for someone with deep expertise in OfficeJS and Office Add-in development, ideally from building a similar product at scale. You'll join a team of highly motivated, skilled engineers who hold everything they touch to the highest standards, from architecture to code to user experience. You may also contribute to our Outlook integration and help build the next generation of agentic AI interfaces across the Microsoft suite.This role is based in San Francisco, CA. We use a hybrid in-person work model and offer relocation assistance to new employees.What You'll DoOwn and lead the technical direction of Harvey in Word, our flagship Office Add-in product, alongside our other Microsoft Office integrations.Build the AI-native editing experience: agentic document rewrites, real-time redlining, and playbook automation that transforms how lawyers workDesign and build sophisticated integrations with Microsoft Word using the OfficeJS API, including document manipulation, playbook reviews, and AI-assisted draftingArchitect scalable, maintainable solutions that handle the constraints and quirks of the Office Add-in environment across platforms (Windows, Mac, Web)Build polished, high-performance interfaces with crisp interactions and resilient error handlingCollaborate with product, design, and backend teams to shape APIs and UX for AI-powered features like streaming results and tool-calling workflowsNavigate Office Add-in requirement sets, versioning, and cross-platform compatibility to ensure broad, reliable supportContribute to Harvey in Outlook and shape the next generation of agentic AI interfaces across the Microsoft suiteMentor engineers, drive technical decisions, and raise the bar on quality and developer experienceWhat You Have5+ years of software engineering experience, with significant depth in Office Add-in development using OfficeJSExperience building and shipping a production Office Add-in product, ideally one used at enterprise scaleStrong proficiency in JavaScript/TypeScript, HTML, and CSSDeep understanding of Office Add-in architecture, requirement sets, manifest configuration, and cross-platform considerationsExperience with React or similar modern frontend frameworksTrack record of shipping highly intuitive products with strong attention to detailFamiliarity with Microsoft Office Add-in guidelines and AppSource submission process is a plusNice to HaveExperience with Outlook Add-ins or other Microsoft 365 integrations (SharePoint, Teams)Background in legal tech or enterprise SaaSExperience building products that integrate with AI/LLM capabilitiesCompensation Range$238,000 - $312,000 USD#LI-BB1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

false

Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewLegal professionals spend most of their day in Microsoft Word: drafting, reviewing, and refining complex documents that shape meaningful outcomes. Harvey in Word brings AI-powered capabilities directly into Word, enabling lawyers to draft faster, run playbook reviews, and perform agentic editing, all without leaving their workflow. It's one of our most strategic product lines and a key part of how we meet lawyers where they already work.As a Senior/Staff Software Engineer on the Embedded Experiences team, you will own and lead the development of Harvey in Word, our Microsoft Office Add-in built on OfficeJS, alongside our other Microsoft Office integrations. You'll architect and ship features that integrate seamlessly with Word, handling the unique challenges of building performant, polished experiences within the Office Add-in environment.We're looking for someone with deep expertise in OfficeJS and Office Add-in development, ideally from building a similar product at scale. You'll join a team of highly motivated, skilled engineers who hold everything they touch to the highest standards, from architecture to code to user experience. You may also contribute to our Outlook integration and help build the next generation of agentic AI interfaces across the Microsoft suite.This role is based in San Francisco, CA. We use a hybrid in-person work model and offer relocation assistance to new employees.What You'll DoOwn and lead the technical direction of Harvey in Word, our flagship Office Add-in product, alongside our other Microsoft Office integrations.Build the AI-native editing experience: agentic document rewrites, real-time redlining, and playbook automation that transforms how lawyers workDesign and build sophisticated integrations with Microsoft Word using the OfficeJS API, including document manipulation, playbook reviews, and AI-assisted draftingArchitect scalable, maintainable solutions that handle the constraints and quirks of the Office Add-in environment across platforms (Windows, Mac, Web)Build polished, high-performance interfaces with crisp interactions and resilient error handlingCollaborate with product, design, and backend teams to shape APIs and UX for AI-powered features like streaming results and tool-calling workflowsNavigate Office Add-in requirement sets, versioning, and cross-platform compatibility to ensure broad, reliable supportContribute to Harvey in Outlook and shape the next generation of agentic AI interfaces across the Microsoft suiteMentor engineers, drive technical decisions, and raise the bar on quality and developer experienceWhat You Have5+ years of software engineering experience, with significant depth in Office Add-in development using OfficeJSExperience building and shipping a production Office Add-in product, ideally one used at enterprise scaleStrong proficiency in JavaScript/TypeScript, HTML, and CSSDeep understanding of Office Add-in architecture, requirement sets, manifest configuration, and cross-platform considerationsExperience with React or similar modern frontend frameworksTrack record of shipping highly intuitive products with strong attention to detailFamiliarity with Microsoft Office Add-in guidelines and AppSource submission process is a plusNice to HaveExperience with Outlook Add-ins or other Microsoft 365 integrations (SharePoint, Teams)Background in legal tech or enterprise SaaSExperience building products that integrate with AI/LLM capabilitiesCompensation Range$238,000 - $312,000 USD#LI-BB1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

false

Why HarveyAt Harvey, we’re transforming how legal and professional services operate — not incrementally, but end-to-end. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.This is a rare chance to help build a generational company at a true inflection point. With 1000+ customers in 58+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.Our team is sharp, motivated, and deeply committed to the mission. We move fast, operate with intensity, and take real ownership of the problems we tackle — from early thinking to long-term outcomes. We stay close to our customers — from leadership to engineers — and work together to solve real problems with urgency and care. If you thrive in ambiguity, push for excellence, and want to help shape the future of work alongside others who raise the bar, we invite you to build with us.At Harvey, the future of professional services is being written today — and we’re just getting started.Role OverviewLegal professionals spend most of their day in Microsoft Word: drafting, reviewing, and refining complex documents that shape meaningful outcomes. Harvey in Word brings AI-powered capabilities directly into Word, enabling lawyers to draft faster, run playbook reviews, and perform agentic editing, all without leaving their workflow. It's one of our most strategic product lines and a key part of how we meet lawyers where they already work.As a Senior/Staff Software Engineer on the Embedded Experiences team, you will own and lead the development of Harvey in Word, our Microsoft Office Add-in built on OfficeJS, alongside our other Microsoft Office integrations. You'll architect and ship features that integrate seamlessly with Word, handling the unique challenges of building performant, polished experiences within the Office Add-in environment.We're looking for someone with deep expertise in OfficeJS and Office Add-in development, ideally from building a similar product at scale. You'll join a team of highly motivated, skilled engineers who hold everything they touch to the highest standards, from architecture to code to user experience. You may also contribute to our Outlook integration and help build the next generation of agentic AI interfaces across the Microsoft suite.This role is based in San Francisco, CA. We use a hybrid in-person work model and offer relocation assistance to new employees.What You'll DoOwn and lead the technical direction of Harvey in Word, our flagship Office Add-in product, alongside our other Microsoft Office integrations.Build the AI-native editing experience: agentic document rewrites, real-time redlining, and playbook automation that transforms how lawyers workDesign and build sophisticated integrations with Microsoft Word using the OfficeJS API, including document manipulation, playbook reviews, and AI-assisted draftingArchitect scalable, maintainable solutions that handle the constraints and quirks of the Office Add-in environment across platforms (Windows, Mac, Web)Build polished, high-performance interfaces with crisp interactions and resilient error handlingCollaborate with product, design, and backend teams to shape APIs and UX for AI-powered features like streaming results and tool-calling workflowsNavigate Office Add-in requirement sets, versioning, and cross-platform compatibility to ensure broad, reliable supportContribute to Harvey in Outlook and shape the next generation of agentic AI interfaces across the Microsoft suiteMentor engineers, drive technical decisions, and raise the bar on quality and developer experienceWhat You Have5+ years of software engineering experience, with significant depth in Office Add-in development using OfficeJSExperience building and shipping a production Office Add-in product, ideally one used at enterprise scaleStrong proficiency in JavaScript/TypeScript, HTML, and CSSDeep understanding of Office Add-in architecture, requirement sets, manifest configuration, and cross-platform considerationsExperience with React or similar modern frontend frameworksTrack record of shipping highly intuitive products with strong attention to detailFamiliarity with Microsoft Office Add-in guidelines and AppSource submission process is a plusNice to HaveExperience with Outlook Add-ins or other Microsoft 365 integrations (SharePoint, Teams)Background in legal tech or enterprise SaaSExperience building products that integrate with AI/LLM capabilitiesCompensation Range$238,000 - $312,000 USDPlease find our CA applicant privacy notice here.#LI-BB1Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing accommodations@harvey.ai

false

About GranicaGranica is an AI research and infrastructure company building reliable and steerable representations for enterprise structured data. The rarest thing in enterprise AI is durable access plus trust. Crunch is how we earn it: a policy-driven physical health layer that keeps large tabular data estates efficient and reliable, safely and reversibly. On top of that foundation, we’re building structured intelligence using Large Tabular Models: systems that learn cross-column and relational structure to deliver trustworthy answers and automation with provenance and governance built in.Engineering Manager — Foundational Data Systems for AILocation: Downtown Mountain View, CA (office-based, 5 days/week) Team: Foundational Data SystemsAbout the RoleWe’re hiring an Engineering Manager to lead our core team building Granica’s Foundational Data Systems—the infrastructure layer that everything else depends on.You’ll lead a globally distributed team of ~15–20 senior engineers across the US, India, and Canada, owning systems across storage, metadata, compute, and infrastructure. This is a high-impact leadership role with real architectural influence and long-term ownership.Data infrastructure is critical at Granica. The systems your team builds directly determine the reliability, efficiency, and velocity of our research, product development, and enterprise deployments.This role is ideal for a technically strong leader who enjoys building teams, shaping systems that last, and operating with high trust and autonomy.The MissionAI today is constrained not just by model design, but by the inefficiency of the data that feeds it. At scale, redundant bytes, poorly organized datasets, and inefficient data paths translate directly into higher cost, slower iteration, and wasted energy.Granica’s mission is to remove that inefficiency at the foundation. We design self-optimizing data infrastructure—systems that continuously reorganize, compress, and maintain structured data so it can be learned from efficiently and reliably by AI systems.This engineering team works closely with the Granica Research group led by Prof. Andrea Montanari (Stanford), translating advances in information theory and learning efficiency into large-scale distributed systems. Together, we believe the next major advance in AI will come from better systems and better data, not simply larger models.What You’ll DoLead, mentor, and grow a team of senior engineers across multiple geographiesOwn hiring, onboarding, and career development in a high-bar engineering cultureSet technical direction through design reviews, RFCs, and principled trade-offsOwn the design and evolution of foundational systems spanning:Table maintenance and data layoutMetadata, transactions, and schema evolutionDistributed compute and orchestrationReliability, observability, and operational toolingTranslate strategy into execution through roadmaps and milestonesEstablish and uphold reliability, latency, and operational standardsLead incident response, postmortems, and continuous system improvementPartner closely with Research, Applied AI, Product, and Infrastructure teams to move ideas from research into productionSkills and QualificationsMinimum Qualifications7+ years of experience in backend, infrastructure, or distributed systems engineering2+ years leading engineering teams or large, multi-person technical initiativesDeep expertise in distributed compute frameworks (e.g., Spark, Trino, Presto) and columnar formats (Parquet, ORC)Experience building or operating data platforms, lakehouse systems, or large-scale analytics infrastructureStrong systems design instincts across distributed compute, storage, and data platformsExperience operating and scaling production systems with real reliability requirementsHands-on technical background; comfortable participating in deep technical discussions Preferred QualificationsExperience with Iceberg, Delta Lake, or similar table formatsExperience partnering closely with research or ML teamsTrack record of scaling teams in high-ambiguity, fast-moving environmentsLogisticsLocation: Downtown Mountain View, CAWork model: Office-based, five days per weekTeam: Foundational Data SystemsLeadership scope: ~15–20 engineers across the US, India, and CanadaWhy GranicaFundamental Research Meets Enterprise Impact. Work at the intersection of science and engineering, turning foundational research into deployed systems serving enterprise workloads at exabyte scale.AI by Design. Build the infrastructure that defines how efficiently the world can create and apply intelligence.Real Ownership. Design primitives that will underpin the next decade of AI infrastructure.High-Trust Environment. Deep technical work, minimal bureaucracy, shared mission.Enduring Horizon. Backed by NEA, Bain Capital, and various luminaries from tech and business. We are building a generational company for decades, not quarters or a product cycle.Compensation & BenefitsCompetitive salary, meaningful equity, and substantial bonus for top performersFlexible time off plus comprehensive health coverage for you and your familySupport for research, publication, and deep technical explorationAt Granica, you will shape the fundamental infrastructure that makes intelligence itself efficient, structured, and enduring. Join us to build the foundational data systems that power the future of enterprise AI!

false

About Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that.As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. What you’ll work on / the team you’ll join We’re building tools for the full Physical AI data stack - from data acquisition, through ingestion and curation at scale to 3D rendering, annotation and verification. You’ll solve problems of large scale efficient data transfer and storage, complex domain modelling, applying the latest machine learning models and squeezing performance out of web browsers. Who we are looking for You feel at home with challenging front-end work, such as rendering complex 3D scenes with thousands of objects while maintaining smooth frame rates. You’ll work with the biggest names in robotics and autonomous vehicles. You’ll understand the details of with visual, spatial and sensor data, making sense of reality.You will operate with high degrees of autonomy and be expected to craft at speed. We need performant, reliable and maintainable solutions to challenging problems - both technical and product. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll be a key driver of progress on a core part of our product. What to expect - High performing team: You'll join the small team that has built a product that our customers love. Members of the team are veterans of both established companies and successful startups. While the team is more than a sum of its parts, every member is impressive in their own right- Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.- End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.- Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together.- Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You - Are experienced: You have seen a lot and built a lot. You have personally developed and maintained multiple systems from scratch and you know what trade offs are involved in building reliable, performant software at speed.- Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent.- Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly.- Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.- Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use.- Backend: Python- Frontend: Typescript and React- Kubernetes for deployment- GCP for underlying infrastructure- Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary and equity in a hyper growth startup.- Real opportunities to grow. We’re growing insanely fast and you’ll have all the opportunities for growth that you can handle.- Strong in person culture. We're 3-5 days a week in our newly-launched loft office in North Beach.- Flexible PTO to recharge.- Annual learning and development budget.- 18 paid vacation days + federal holidays.- Lots of opportunities for travel (all around the US, to London & Europe).- Bi-annual off-sites and monthly socials.- Health, dental and vision insurance. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture, and many more.  Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields. 150,000 - 300,000 a year

false

About Encord At Encord, we're building the AI infrastructure of the future. One of the biggest challenges AI companies face today is data quality. The success of any AI application relies heavily on the quality of its training data, yet for most teams, this crucial step is both the most costly and time-consuming. We’re here to change that.As former computer scientists, physicists, and quants, we’ve experienced firsthand how a lack of tools to prepare quality training data impedes progress in building AI. We believe AI is at a stage similar to the early days of computing or the internet—where the potential is clear, but the surrounding tools and processes are still catching up. That's why we started Encord. We are a talented and ambitious team of 100+, working at the cutting edge of computer vision and deep learning. Backed by $30M in Series B funding from top investors like CRV and Y Combinator, we’re one of the fastest-growing companies in our space. We have big plans ahead and are looking to expand our Engineering team to help us in building a better product for our customers. What you’ll work on / the team you’ll join We’re building tools for the full Physical AI data stack - from data acquisition, through ingestion and curation at scale to 3D rendering, annotation and verification. You’ll solve problems of large scale efficient data transfer and storage, complex domain modelling, applying the latest machine learning models and squeezing performance out of web browsers. Who we are looking for You feel at home with challenging front-end work, such as rendering complex 3D scenes with thousands of objects while maintaining smooth frame rates. You’ll work with the biggest names in robotics and autonomous vehicles. You’ll understand the details of with visual, spatial and sensor data, making sense of reality.You will operate with high degrees of autonomy and be expected to craft at speed. We need performant, reliable and maintainable solutions to challenging problems - both technical and product. You'll join us at a crucial stage of accelerated development for the company, product and team. As part of a small, highly collaborative group, you'll be a key driver of progress on a core part of our product. What to expect - High performing team: You'll join the small team that has built a product that our customers love. Members of the team are veterans of both established companies and successful startups. While the team is more than a sum of its parts, every member is impressive in their own right- Impact: Your work will have direct and tangible impact for customers and in turn noticeably affect the trajectory of the company.- End-to-end ownership: You will be entrusted with end-to-end ownership of your projects. From product, design and architectural decisions, all the way to deployment, monitoring and measuring impact on users. You will work across the stack, covering everything from deployment to styling. We expect each other to take initiative, be proactive in problem-solving, and continuously seek improvements.- Autonomy and collaboration: You will often work autonomously to take charge of your projects, make decisions, and drive your work forward. But as a lean and high trust team, we remain quick to collaborate and support each other with challenging problems together.- Scale and simplicity: You will tackle complex domains and immense scale with simple solutions. You'll leverage your expertise to solve challenging problems in simple ways. About You - Are experienced: You have seen a lot and built a lot. You have personally developed and maintained multiple systems from scratch and you know what trade offs are involved in building reliable, performant software at speed.- Seek high impact: You want your work to have a tangible outcome for people. You're not satisfied when building products that do not see the light of day or move a number by a tenth of a percent.- Are a builder: You enjoy all aspects of building not only software but a complete product and are comfortable moving across the stack when necessary. You enjoy problem solving and thinking from first principles. You’re ready to pick up new skills and build quickly.- Are comfortable with uncertainty: You're happy to tackle problems without a predefined clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.- Are a team player: You understand that being a member of a high-performing team requires two things. You contribute your best work. You also help others contribute their best. You enjoy lending a helping hand when needed and levelling up those around you. Tech stack We are technology agnostic at Encord. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply. We currently use Python and Typescript across our codebase. Prior experience is appreciated but not required. Below is a detailed breakdown of all the technologies we use.- Backend: Python- Frontend: Typescript and React- Kubernetes for deployment- GCP for underlying infrastructure- Machine Learning: PyTorch, CUDA, Ray We encourage people from all backgrounds, cultures and skill levels to apply. It is okay to not meet all requirements listed as we are looking for individuals who are passionate, eager to learn. What We Offer - Competitive salary, commission and equity in a hyper growth business.- Strong in-person culture: most of our team is in the office 3+ days a week.- Room to grow into anything you choose to — a year ago we were 50 people, now we're 100+. We'll be growing insanely fast over the next 24 months and you'll have all the opportunities for growth as you can handle.- 25 days annual leave a year + public holidays. Encord offers a unique opportunity to be part of a startup with a clear mission and vision. You will get to explore and build services enterprise AI use cases across many different industry verticals such as healthcare, surveillance, retail, agriculture and many more.  Our work is at the cutting edge of computer vision and deep learning, which also includes working on solving unsolved problems within those fields.

false

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency.At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.What we doThe Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.About the RoleGenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects.  Although every project is unique, you might typically: Design and maintain automated tests to ensure the quality, performance, and reliability of Kotlin and Android applications. Collaborate with developers to identify, reproduce, and resolve functional, performance, and UI issues across multiple environments. Define and improve quality standards across build pipelines, ensuring smooth CI/CD integrations and release stability. Monitor app behavior in production and use data‑driven insights to guide testing priorities and improvements. Note: Flexibility and quick adaptation to new requirements are essential. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone.RequirementsBachelor's or Master’s Degree in Computer Science, Software Engineering, Software Development, Computer Engineering, Information Technology or other related fields. Mid-level proficiency in Swift 5.9+, including SwiftUI, Combine, async/await, and the concurrency model.3+ years of professional iOS/macOS development experience.Hands-on experience with testing frameworks (XCTest, Quick/Nimble) and UI automation testing.Proficiency with Xcode, Swift Package Manager, and CI/CD tools (Fastlane, GitHub Actions, Xcode Cloud).Experience with App Store deployment and monitoring tools (Crashlytics, Firebase).Strong understanding of architectural patterns (MVVM, Clean Architecture) and performance optimization (ARC, Instruments).Experience integrating AI/ML capabilities (Core ML, Vision, Create ML).Practical use of AI-assisted tools for code generation, refactoring, and test automation.Strong skills in crash analysis, memory debugging, and performance profiling.Level of English is advanced (C1) or above.You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines. Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge.BenefitsWhy this freelance opportunity might be a great fit for you? Get paid for your expertise, with rates that can go up to $80/hour depending on your skills, experience, and project needs.Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments.Work on advanced AI projects and gain valuable experience that enhances your portfolio.Influence how future AI models understand and communicate in your field of expertise.

false

About you:have done something remarkable, and have undeniable real-world proof-of-talent you can share with usgo from 0 → 1 on an idea before breakfastalways learningbelieve in manifesting the future of physical engineeringAbout us:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world. Our first product is Archie, an AI engineer capable of quantitative intuition over physical product domains and engineering tool use. Archie initially performs at the level of an entry-level design engineer but rapidly gets smarter and more capable. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).In summary:we are on a missionmultiple hats is the normno politics, low bureaucracyfast, data-driven decision-making; velocity and agility are everythingbelieve in manifesting the future of physical engineeringAbout the role:We are a small team tackling an ambitious problem. If we are successful, it will change the course of history. As such, we have a very high talent bar and are looking for people who have done something remarkable.This role puts you on the front lines of deploying engineering AGI in the real world. As a Forward Deployed Engineer, you will own customer deployments end-to-end—scoping problems, designing integrations, shipping production systems, and ensuring Archie delivers real engineering value.You will serve as the technical lead for customer engagements, making architectural decisions, integrating Archie with customer data and tools, and rapidly iterating based on real-world feedback. Early customer solutions frequently become core Archie capabilities, making this a uniquely high-impact role.We don’t care if you’ve done it before. We just need you to be brilliant, mission-driven, and thirsty to learn.This role can be either remote (based in the US or Canada and with existing work authorization) or based in our SF office. If you are remote, you should plan to spend one week out of six co-working with the rest of the company in our SF office. We will support relocation for candidates interested in moving to SF.Compensation:$160 - $200k… for now. This role includes a significant equity component. We are an early-stage startup, so we favor equity over cash in our current compensation philosophy. You should too, or an early-stage startup might not be for you. That said, we expect cash compensation to progress quickly as the company matures.Our benefits include healthcare, dental, and vision insurance, 401k with employer matching, and unlimited PTO.Interview process:Initial screening call (30 mins)Biographical/behavioural interview (45 mins)Technical interview (60 mins)CEO interview (30 mins)

false

About you:have done something remarkable, and have undeniable real-world proof-of-talent you can share with usgo from 0 → 1 on an idea before breakfastalways learningbelieve in manifesting the future of physical engineeringAbout us:We are building an engineering AGI. We founded P-1 AI with the conviction that the greatest impact of artificial intelligence will be on the built world. Our first product is Archie, an AI engineer capable of quantitative intuition over physical product domains and engineering tool use. Archie initially performs at the level of an entry-level design engineer but rapidly gets smarter and more capable. We aim to put an Archie on every engineering team at every industrial company on earth.Our founding team includes the top minds in deep learning, model-based engineering, and industries that are our customers. We closed a $23 million seed round led by Radical Ventures that includes a number of other AI and industrial luminaries (from OpenAI, DeepMind, etc.).In summary:we are on a missionmultiple hats is the normno politics, low bureaucracyfast, data-driven decision-making; velocity and agility are everythingbelieve in manifesting the future of physical engineeringAbout the role:We are a small team tackling an ambitious problem. If we are successful, it will change the course of history. As such, we have a very high talent bar and are looking for people who have done something remarkable.This is a research-meets-production role building the core AI capabilities of Archie. You will collaborate with AI researchers, software engineers, forward-deployed engineers, and domain experts to turn cutting-edge machine learning into real engineering systems used by the world’s leading manufacturers.You will help train, adapt, and deploy large language models, build new agentic behaviors, and integrate Archie with industry-standard engineering tools. Your work will directly shape how physical products are designed and built.We don’t care if you’ve done it before. We just need you to be brilliant, mission-driven, and thirsty to learn.This role can be either remote (based in the US or Canada and with existing work authorization) or based in our SF office. If you are remote, you should plan to spend one week out of six co-working with the rest of the company in our SF office. We will support relocation for candidates interested in moving to SF.Compensation:$200 - $265k… for now. This role includes a significant equity component. We are an early-stage startup, so we favor equity over cash in our current compensation philosophy. You should too, or an early-stage startup might not be for you. That said, we expect cash compensation to progress quickly as the company matures.Our benefits include healthcare, dental, and vision insurance, 401k with employer matching, and unlimited PTO.Interview process:Initial screening call (30 mins)Biographical/behavioural interview (45 mins)Technical interview (60 mins)CEO interview (30 mins)

false

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.HackerOne ValuesHackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.Software Engineer IIILocation : PuneWorking model : In-officeAbout CompanyHackerOne is the trusted security partner for forward-thinking organisations. We deliver proactive protection through a unique blend of human intelligence and cutting-edge AI. Our platform enables companies to continuously discover and fix vulnerabilities across their entire digital ecosystem before adversaries can exploit them.At the heart of our approach is a deep commitment to customer success. We combine the industry’s largest, most skilled community of security researchers with a constantly evolving AI-enhanced vulnerability database to deliver actionable insights and measurable outcomes. Whether it’s through bug bounty programs, AI-driven red teaming, pentesting, agentic security workflows, or on-demand security reviews, we help our customers embed security throughout the software development lifecycle.Our solutions are trusted by leaders across various industries, including Coinbase, GitHub, Goldman Sachs, PayPal, Hyatt, the U.S. Department of Defence, and more, who rely on HackerOne to reduce risk and build secure, resilient systems.In recognition of our innovation and workplace culture, Fast Company named us a Best Workplace for Innovators in 2023 and a Most Loved Workplace for Young Professionals in 2024.Position SummaryAs a Software Engineer III, you will work closely with the team's senior engineers, Product Managers, and Designers. You’ll also collaborate closely with our Pune in-office Customer Operations team and teams in the Netherlands and North America to solve real-world problems for our global customers.In this role, you will be responsible for delivering end-to-end meaningful features and components, proactively managing dependencies and reducing rework through improved planning and execution. You will contribute to HackerOne’s CTEM roadmap, helping build agentic capabilities that combine AI with secure, reliable product experiences - always grounded in customer outcomes and measurable impact.You’ll combine your technological expertise, domain knowledge, and dedication to business objectives as you intersect with the engineering organisation. You identify and make systematic improvements to technical weaknesses you’ll find in your squad’s codebases and in shared codebases across the company.What You Will DoYour first month will be spent getting to know our company and your fellow HackerOnies through our well-organised and fun onboarding process called H.A.T.C.HYou will set up your development environment, get a feel for our engineering processes, and embark on a journey to fully understand the domain you will be working withBy day 30, you will have met most of your fellow Engineering HackerOnies, paired with other Software Engineers, developed a strong understanding of our codebases and Security Management products, and be prepared to start hands-on codingBy day 60, you will be involved in building a meaningful part of one of the projects and will have become more connected with our community and various stakeholdersBy day 90, you’ll have impressed your colleagues with your technical contributions and earned trust and credibility within your squad and the whole Engineering team by presenting your progress during our review/demo sessions Long term, you will:Work together with stakeholders, designers and product leaders to deliver outcomes tied to team goals and roadmapBuild, ship and maintain highly available, performant and durable features, focused on (but not limited to) hacker-facing areas of our platformDrive predictable delivery by identifying and removing blockers, managing dependencies, and reducing rework through better planning and technical decision-makingBe a part of cross-squad initiatives and contribute to shared platform improvements that increase team throughput and qualityMentor and be mentored by other engineers; help onboard and guide IC1s and IC2sContribute to CTEM and agentic work, including:Building AI-assisted and agentic workflows where systems can reason, use tools, and collaborate with humans (with appropriate guardrails)Using data and evaluation to guide iteration (quality metrics, feedback loops, experiments, and post-launch monitoring)Applying first principles thinking to simplify systems and avoid fragile “quick fixes” that slow teams laterWho are youAt first, a tech-savvy person who likes to work with people and teamsWilling to learn from Senior and Staff Software EngineersOwner of your progress as an individualYou bring 5+ years of software development experience within a modern SaaS environmentYou’re proficient in dynamically typed, OOP languages such as JavaScript, Python, Ruby or similar languagesYou have 5+ years of practical SQL experience (PostgreSQL preferred).You’ve worked extensively with cloud platforms (5+ years, with a preference for AWS) to enable scalable, automated infrastructure.You have hands-on experience with ReactJS or similar modern front-end frameworks.You’ve led end-to-end technical projects through all phases of the software development lifecycle, and are now looking to apply that experience toward building intelligent, automated, and AI-enhanced security products.Must Have:You have hands-on experience building AI-assisted features, LLM-powered workflows, or agentic systems (or strong practical exposure through prototypes and iterative delivery)You can explain how you evaluate and operate these systems in production (quality metrics/evals, monitoring, rollout strategy, and failure modes)You’re comfortable working in ambiguous problem spaces, breaking problems down to first principles, and delivering in small, validated iterationsExperience or knowledge with agentic architectures (tool use/function calling, workflow orchestration, retrieval/RAG, and human-in-the-loop patterns)Experience or knowledge with AI/LLM evaluation approaches (golden sets, offline/online evals, experimentation, prompt/versioning discipline)Preferred QualificationsRuby on RailsReact JSPostgreSQLGraphQLAmazon Web ServicesEmployment at HackerOne is contingent on a background check.HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, colour, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.This policy covers layoffs, recalls, leave of absences, compensation, benefits, training, and apprenticeships. HackerOne makes hiring decisions based solely on qualifications, merit, and current business needs.Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.HackerOne ValuesHackerOne commits to maintaining a strong, inclusive culture built for our employees and our community of security researchers. We are driven by our five core values. We recognise that our mission is bigger than us, and therefore, we act with integrity at all times. As a team, we believe that transparency builds trust, so we default to disclosure in our communications. Each individual executes with excellence, creating an environment of greater alignment and greater autonomy. We win as a team and respect all people to empower everyone to learn from each other, innovate, and grow.Job Benefits:Health (medical, vision, dental), life, and disability insurance*Equity stock optionsRetirement plansPaid public holidays and unlimited PTOPaid maternity and parental leaveLeaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)Employee Assistance ProgramFlexible Work Stipend*Eligibility may differ by countryWe're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check.HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

false

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world’s largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, Crypto.com, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner’s Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024).HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional – it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world’s top organizations.HackerOne ValuesHackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability.Senior Software EngineerLocation : PuneWorking model : In officeAbout CompanyHackerOne is the trusted security partner for forward-thinking organisations. We deliver proactive protection through a unique blend of human intelligence and cutting-edge AI. Our platform enables companies to continuously discover and fix vulnerabilities across their entire digital ecosystem before adversaries can exploit them.At the heart of our approach is a deep commitment to customer success. We combine the industry’s largest, most skilled community of security researchers with a constantly evolving AI-enhanced vulnerability database to deliver actionable insights and measurable outcomes. Whether it’s through bug bounty programs, AI-driven red teaming, pentesting, agentic security workflows, or on-demand security reviews, we help our customers embed security throughout the software development lifecycle.Our solutions are trusted by leaders across various industries, including Coinbase, GitHub, Goldman Sachs, PayPal, Hyatt, the U.S. Department of Defence, and more, who rely on HackerOne to reduce risk and build secure, resilient systems.In recognition of our innovation and workplace culture, Fast Company named us a Best Workplace for Innovators in 2023 and a Most Loved Workplace for Young Professionals in 2024.Position SummaryAs a Software Engineer IV, you will work closely with the team's senior engineers, Product Managers, and Designers. You’ll also collaborate closely with our Pune in-office Customer Operations team and teams in the Netherlands and North America to solve real-world problems for our global customers.In this role, you will lead complex initiatives and own end-to-end delivery of projects with moderate to large scope. You anticipate delivery risks, align stakeholders early, and maintain quality under tight timelines. Together with the Senior Engineering Manager, you will develop excellent capabilities to serve your customers by combining technical depth with operational discipline, balancing scope, risk, and speed, and surfacing trade-offs to enable informed decisions.HackerOne is investing in a CTEM roadmap that includes agentic work. You will help drive the design and delivery of AI-assisted and agentic capabilities that are measurable, safe to operate, and tied to customer outcomes. You will also raise the bar for platform health and influence HackerOne’s engineering practices to accelerate execution.You’ll combine your technological expertise, domain knowledge, and an unquestionable dedication to business objectives as you intersect with the engineering organisation. You identify and make systematic improvements to technical weaknesses you’ll find in your squad’s codebases, and in shared codebases across the company.What You Will DoYour first month will be spent getting to know our company and your fellow HackerOnies through our well-organised and fun onboarding process called H.A.T.C.H.You will set up your development environment, get a feel for our engineering processes, and embark on a journey to fully understand the domain you will be working with.By day 30, you will have met most of your fellow Engineering HackerOnies, paired with other Software Engineers, developed a strong understanding of our codebases and Security Management products, and be prepared to start hands-on coding.By day 60, you will be involved in building a meaningful part of one of the projects and will have become more connected with our community and various stakeholders.By day 90, you’ll have impressed your colleagues with your technical contributions and earned trust and credibility within your squad and the whole Engineering team by presenting your progress during our review/demo sessions.Long term, you will:Lead complex initiatives as a project lead together with stakeholders, designers and product leadersBuild, ship and maintain highly available, performant and durable features, focused on (but not limited to) hacker-facing areas of our platformDeliver key results for impactful objectives by balancing scope, risk, and speed - raising risks early and creating shared context for why the work matters against the team goals and roadmapBe a part of cross-squad initiatives and influence shared engineering practices to accelerate execution across teamsOnboard, guide, mentor, and delegate effectively to engineers; build leverage by creating clarity, reusable patterns, and strong technical directionLead CTEM and agentic work, including:Owning architecture for agentic workflows (tool use/function calling, orchestration, retrieval/RAG, human-in-the-loop patterns)Building and introducing AI tools that improve delivery efficiency and reduce repetitive work; challenging legacy solutions that slow velocityProactively leading adaptation during change: re-scoping tasks during direction pivots, aligning with Product, and surfacing trade-offs clearly to move decisions forwardImplementing data loops that enable continuous optimisation (quality metrics, capacity/latency/cost trade-offs, velocity signals, and post-launch monitoring) Who are youAt first, a tech-savvy person who likes to work with people and teamsWilling to learn from Senior and Staff Software EngineersOwner of your progress as an individualYou bring 8+ years of software development experience within a modern SaaS environmentYou’re proficient in dynamically typed, OOP languages such as JavaScript, Python, Ruby or similar languagesYou have 5+ years of practical SQL experience (PostgreSQL preferred)You’ve worked extensively with cloud platforms (5+ years, AWS preferred), enabling scalable and automated infrastructureYou have hands-on experience with ReactJS or similar modern front-end frameworksYou’ve led end-to-end technical projects through all phases of the software development lifecycle, and are now looking to apply that experience toward building intelligent, automated, and AI-enhanced security productsMust Have:You have strong experience delivering AI-assisted features or agentic systems into production (or leading a substantial agentic initiative from prototype to reliable launch)Experience with agentic architectures (tool use/function calling, workflow orchestration, retrieval/RAG, human-in-the-loop)Experience with evaluation and data loops (golden sets, offline/online evals, experimentation, quality dashboards, regression monitoring)You can clearly explain measurable trade-offs you’ve made (latency/cost/quality/capacity), and how you used data to drive decisions and iteration.You’re effective in ambiguity: you partner with Product to clarify scope, surface trade-offs, and avoid custom service builds that slow teams later.Preferred QualificationsRuby on RailsReact JSPostgreSQLGraphQLAmazon Web ServicesEmployment at HackerOne is contingent on a background check.HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.This policy covers layoffs, recalls, leave of absences, compensation, benefits, training, and apprenticeships. HackerOne makes hiring decisions based solely on qualifications, merit, and current business needs.Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.HackerOne ValuesHackerOne commits to maintaining a strong, inclusive culture built for our employees and our community of security researchers. We are driven by our five core values. We recognise that our mission is bigger than us, and therefore, we act with integrity at all times. As a team, we believe that transparency builds trust, so we default to disclosure in our communications. Each individual executes with excellence, creating an environment of greater alignment and greater autonomy. We win as a team and respect all people to empower everyone to learn from each other, innovate, and grow.Job Benefits:Health (medical, vision, dental), life, and disability insurance*Equity stock optionsRetirement plansPaid public holidays and unlimited PTOPaid maternity and parental leaveLeaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act)Employee Assistance ProgramFlexible Work Stipend*Eligibility may differ by countryWe're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with Remote.com as our Employer of Record (EOR).Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check.HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws.This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time.For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

false

We are building a world-class, AI-driven B2B analytics SaaS. Built from scratch as a core product, it defines a new generation of marketing analytics within Tesonet Group. You’ll join while core architecture, data flows, and engineering principles are actively being designed, with the opportunity to take real ownership and shape how the product is built and how teams collaborate. The platform is built around intelligent automation, real-time data processing, ML modeling, and large-scale distributed systems, with AI deeply embedded at its core. By working with complex data, we deliver a powerful self-service analytics experience that enables faster, smarter marketing decisions.Main ResponsibilitiesBuild and improve systems that collect, normalize, and store data from external services and APIs.Design robust integrations with third-party APIs and LLMs, handling errors, rate limits, retries, and evolving interfaces.Explore responsible automated browser interactions or scraping.Automate scheduled collection workflows and make sure they run reliably every day with good observability and alerting.Collaborate with engineering peers on design, architecture, reviews, and shared tooling.Core RequirementsStrong Python backend experience, especially for integrations and automation.Hands-on experience with RESTful APIs, LLMs or AI frameworks (e.g. LiteLLM, Langchain, OpenAI/Anthropic/Gemini APIs) and external system integration.Comfortable experimenting, troubleshooting, and tackling unfamiliar problems with curiosity and initiative.Experience with workflow scheduling/orchestration frameworks (e.g., Dagster) and reliable automation.Familiarity with Docker, Kubernetes, Git and modern CI/CD practices.Nice to have: experience with web scraping/browser automation tools (e.g., Selenium, Playwright) and observability tools (e.g., Prometheus, Grafana).SalaryMonthly gross salary is 4400 - 7000 eur/month.We are open to discussing a different salary based on your skills, experience, and potential impact.What We Offer • Professional growth. Internal and external events, online training, conferences, books - everything you need to reach full potential.• Health benefits. Private health insurance, online and on-site workouts, consultations to feel and be your best.• Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts, and it’s on us.• More free time. Stay with us and additional vacation days will be added to your calendar.• Additional paid leave. Additional days are covered by us in cases of illness or special occasions.• Flexibility. Flexible working time arrangement. View our guidelines for AI usage during hiring process: AI guidelines