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Senior/Staff Software Engineer, C++ Backend Development(Ad Cloud Bidding)

Appier
TW.svg
Taiwan
Remote
false
About Appier Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier’s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. About the Ad Cloud Bidding Team The Ad Cloud Bidding Team is at the forefront of Appier's AI-driven advertising solutions. We develop high-throughput and low-latency systems that deliver superior ROAS (Return On Ad Spend) and maximize campaign ROI for clients worldwide. Our services optimize budget allocation across premium, high-intent inventories, and process billions of requests per day with millisecond precision. You will use advanced C++ technologies to build robust and scalable infrastructure that is foundational to our AI decision-making engines in a fast-paced, data-intensive environment where performance is paramount. About the role Software engineers(Ad Cloud Bidding) at Appier build a wide range of platforms and services that interconnect data and AI with our customers and users. As a Senior/Staff Software Engineer, C++ Backend Development, you will play a critical role in designing and building scalable and performant backend architecture, owning and driving the technical roadmap for sizable projects or services. You will also have the opportunity to mentor junior engineers and facilitate high-performance agile teams collaborating with cross-functional teams. The final job title (Senior or Staff) will be determined based on the candidate's experience, interview performance, and overall fit for the team. About you [Minimum qualifications] 3-5+ years of experience in software development Proficient in modern C++ programming (C++11 and later) Familiar with Unix/Linux environments Solid understanding of system programming Experience in developing low-latency (millisecond-scale) and high-throughput (>1K QPS per machine) systems Experience in service optimization and performance tuning Proactive, good interpersonal and problem-solving skills [Preferred qualifications] Experience in modern build systems Experience in operation automation tools Experience in cloud services Good understanding of monitoring and alert system #LI-SW1
Software Engineer
Software Engineering
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Cohere Health.jpg

Engineering Program Manager, North

Cohere
US.svg
United States
Full-time
Remote
false
Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Engineering Program Manager, NorthPosition OverviewWe're seeking an Engineering Program Manager to strengthen our North operations and drive execution excellence across our product portfolio. This role will work closely with engineering, product, and cross-functional teams to ensure seamless project lifecycle management and operational efficiency. About North:North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. As an Engineering Program Manager, you will:Establish and scale foundational processes that allow North's teams to execute better and faster across our growing platformPartner directly with North leadership and Members of Technical Staff on efforts to design, develop and improve North's core capabilities and research betsRun cross-functional programs, collaborating and coordinating with Product, Engineering, Design, and Customer Success teams on delivering features on time and within scope, establishing feedback loops, and optimize resource distribution across competing prioritiesMap out dependencies and risks across the North ecosystem, ensuring smooth cross-functional execution while communicating status to both technical and non-technical stakeholdersTroubleshoot cross-team challenges and build dependable partnerships both within and outside the North organizationConstantly seek to improve communication flow of priorities, ideas, and progress throughout all layers of the organizationManage project tracking tools, Linear triage, team workflows, and facilitate cross-functional planning sessionsRespond quickly to program-level changes, clarifying new scope and marshaling resources in response to evolving customer and market priorities YYou may be a good fit if you:Have 3+ years as an Engineering Program Manager or Technical Program Manager, with demonstrated experience in startup or high-growth environmentsHave experience with AI/ML products or technical platformsHave a resourceful, can-do attitude and thrive in ambiguous, fast-paced environments where you can wear multiple hats and do whatever it takes to get things doneAre comfortable with low structure, high impact situations where you can roll up your sleeves, be pragmatic, and function at both tactical and strategic levels to drive results, with proven ability to build processes, teams, or programs from scratchHave strong bias for action and can move quickly from problem identification to solution implementationHave experience with project management tools (Linear, Jira, etc.) and can effectively manage workflows and processesHave excellent communication skills for interfacing with both technical teams and business stakeholders across all levels of the organizationHave experience working across multiple customer environments and triaging requests effectivelyLove to automate your work - and can use North to do so!This role offers the opportunity to build foundational program management skills while directly impacting product delivery and team efficiency across our growing North operations.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.
Program Manager
Software Engineering
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OpenAI.jpg

Software Engineer, Fleet Hardware Health

OpenAI
US.svg
United States
Full-time
Remote
false
About the teamThe Fleet team at OpenAI supports the computing environment that powers our cutting-edge research and product development. We oversee large-scale systems that span data centers, GPUs, networking, and more, ensuring high availability, performance, and efficiency. Our work enables OpenAI’s models to operate seamlessly at scale, supporting both internal research and external products like ChatGPT. We prioritize safety, reliability, and responsible AI deployment over unchecked growth.About the roleAs a software engineer on the Fleet Hardware team, you will be responsible for the reliability and uptime of all of OpenAI’s compute fleet. Minimizing hardware failure is key to research training progress and stable services, as even a single hardware hiccup can cause significant disruptions. With increasingly large supercomputers, the stakes continue to rise.Being at the forefront of technology means that we are often the pioneers in troubleshooting these state-of-the-art systems at scale. This is a unique opportunity to work with cutting-edge technologies and devise innovative solutions to maintain the health and efficiency of our supercomputing infrastructure.Our team empowers strong engineers with a high degree of autonomy and ownership, as well as ability to effect change. This role will require a keen focus on system-level comprehensive investigations and the development of automated solutions. We want people who go deep on problems, investigate as thoroughly as possible, and build automation for detection and remediation at scale.In this role, you will:Build and maintain automation systems for provisioning and managing server fleets.Develop tools to monitor server health, performance, and lifecycle events.Collaborate with clusters, networking, and infrastructure teams.Partner with external operators to ensure a high level of quality.Identify and fix performance bottlenecks and inefficiencies.Continuously improve automation to reduce manual work.You might thrive in this role if you have:Experience managing large-scale server environments.A balance of strengths in building and operationalizing.Proficiency in Python, Go, or similar languages.Strong Linux, networking, and server hardware knowledge.Comfort digging into noisy data with SQL, PromQL, and Pandas or any other tool.Prior hardware expertise is not required for this role.Bonus Skills:Experience with low level details of hardware components, protocols, and associated Linux tooling (e.g., PCIe, Infiniband, networking, power management, kernel perf tuning)Knowledge of hardware management protocols (e.g., IPMI, Redfish).High-performance computing (HPC) or distributed systems experience.Prior experience developing, managing, or designing hardware.Familiarity with monitoring tools (e.g., Prometheus, Grafana).About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer
Software Engineering
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OpenAI.jpg

Security Engineer, Agent Security

OpenAI
US.svg
United States
Full-time
Remote
false
About the Team The team’s mission is to accelerate the secure evolution of agentic AI systems at OpenAI. To achieve this, the team designs, implements, and continuously refines security policies, frameworks, and controls that defend OpenAI’s most critical assets—including the user and customer data embedded within them—against the unique risks introduced by agentic AI.About the Role As a Security Engineer on the Agent Security Team, you will be at the forefront of securing OpenAI’s cutting-edge agentic AI systems. Your role will involve designing and implementing robust security frameworks, policies, and controls to safeguard OpenAI’s critical assets and ensure the safe deployment of agentic systems. You will develop comprehensive threat models, partner tightly with our Agent Infrastructure group to fortify the platforms that power OpenAI’s most advanced agentic systems, and lead efforts to enhance safety monitoring pipelines at scale.We are looking for a versatile engineer who thrives in ambiguity and can make meaningful contributions from day one. You should be prepared to ship solutions quickly while maintaining a high standard of quality and security.We’re looking for people who can drive innovative solutions that will set the industry standard for agent security. You will need to bring your expertise in securing complex systems and designing robust isolation strategies for emerging AI technologies, all while being mindful of usability. You will communicate effectively across various teams and functions, ensuring your solutions are scalable and robust while working collaboratively in an innovative environment. In this fast-paced setting, you will have the opportunity to solve complex security challenges, influence OpenAI’s security strategy, and play a pivotal role in advancing the safe and responsible deployment of agentic AI systems.This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.You’ll be responsible for:Architecting security controls for agentic AI – design, implement, and iterate on identity, network, and runtime-level defenses (e.g., sandboxing, policy enforcement) that integrate directly with the Agent Infrastructure stack.Building production-grade security tooling – ship code that hardens safety monitoring pipelines across agent executions at scale.Collaborating cross-functionally – work daily with Agent Infrastructure, product, research, safety, and security teams to balance security, performance, and usability.Influencing strategy & standards – shape the long-term Agent Security roadmap, publish best practices internally and externally, and help define industry standards for securing autonomous AI.We’re looking for someone with:Strong software-engineering skills in Python or at least one systems language (Go, Rust, C/C++), plus a track record of shipping and operating secure, high-reliability services.Deep expertise in modern isolation techniques – experience with container security, kernel-level hardening, and other isolation methods.Hands-on network security experience – implementing identity-based controls, policy enforcement, and secure large-scale telemetry pipelines.Clear, concise communication that bridges engineering, research, and leadership audiences; comfort influencing roadmaps and driving consensus.Bias for action & ownership – you thrive in ambiguity, move quickly without sacrificing rigor, and elevate the security bar company-wide from day one.Cloud security depth on at least one major provider (Azure, AWS, GCP), including identity federation, workload IAM, and infrastructure-as-code best practices.Familiarity with AI/ML security challenges – experience addressing risks associated with advanced AI systems (nice-to-have but valuable).About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
DevOps Engineer
Data Science & Analytics
Software Engineer
Software Engineering
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Glean.jpg

Manager, AI Outcomes

Glean Work
US.svg
United States
Full-time
Remote
false
About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is seeking a leader of our AIOM (AI Outcomes Manger) team. The AIOMs are responsible for ensuring that our customers’ end-users successfully adopt and derive meaningful, measurable value from Glean’s AI solutions. The AIOMs perform the following types of activities:  End-user training enablement (company and function sessions, search, chat and agent content), prompt and agent advisory/building and value realization. Ultimately, the AIOMs are responsible for breadth and depth of end-user engagement across our product suite.   You will:  Manage the employee lifecycle for a team of AI Outcomes Managers to drive high-impact customer enablement, advisory/building on our platform and business value realization with Glean’s products. Develop a set of Glean prescriptive adoption playbooks including codifying a set of standard process, templates and assets to drive delivery consistency with our customers Engage with executive sponsors and business stakeholders across priority accounts Partner cross-functionally with the other leaders of the customer organization including:  Solution Architects, Delivery Excellence Managers and Support to ensure Glean is providing a seamless customer journey to our customers Synthesize feedback and business insights from the field, influence Glean’s product roadmap, and collaborate with Product and R&D to shape new features and agent capabilities Design, implement, and report on metrics for the AIOM team demonstrating ROI, adoption, and transformation progress for customers Serve as a thought leader and subject matter expert on AI outcomes and user transformation; evangelize best practices internally and externally. About you:  4+ years of experience in customer-facing, consultative roles (e.g., management consulting, customer success, business transformation, product management, solutions consulting) with an AI/data/enterprise SaaS company. Demonstrated ability to lead teams and drive business transformation through technology adoption. Excellent problem-solving skills and ability to communicate effectively with diverse audiences, from executives to end users. Strong data fluency; comfortable with adoption/ROI metrics and business KPIs. Consultative, creative, and motivated mindset—excited about helping organizations rethink business processes and work styles with AI. Proven product sense and ability to maximize the impact of complex software platforms. Experience facilitating workshops and change management programs for business transformation. Understanding of modern AI capabilities (prompting, agent workflows, LLMs), with ability to coach others on best practices.   Location:  This role is hybrid (3 days a week in our San Francisco or Palo Alto office) Compensation & Benefits: Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. We offer a comprehensive benefits package including competitive compensation, Medical, Vision, and Dental coverage, generous time-off policy, and the opportunity to contribute to your 401k plan to support your long-term goals. When you join, you'll receive a home office improvement stipend, as well as an annual education and wellness stipends to support your growth and wellbeing. We foster a vibrant company culture through regular events, and provide healthy lunches daily to keep you fueled and focused. We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.  
Product Manager
Product & Operations
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Abridge.jpg

Machine Learning Scientist, NLP (All Levels)

Abridge
US.svg
United States
Full-time
Remote
false
About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the SoHo neighborhood of New York, the Mission District in San Francisco, and East Liberty in Pittsburgh.The RoleFrom transcribing medical conversations to delivering key takeaways, our trailblazing work in machine learning research makes the Abridge experience possible. We're currently looking to hire research scientists with experience in machine learning and natural language processing. The ideal candidate will bring technical mastery, fluency with foundation models, genuine interest in the medical domain, and strong critical thinking skills to the role. At Abridge, all of our ML work has a strong research component, and all of our research scientists contribute directly to real products that impact the lives of doctors. What You'll DoAdvance the state of the art in medical NLP, in areas including conversation summarization, evidence extraction, outcome prediction, evaluation techniques, and experimentation.Actively contribute to the wider research community by sharing and publishing original researchHelp to define important problems, identify appropriate baselines, develop state-of-the-art methods, and ship them into production.Dial deeply into real-time feedback from clinicians to guide further refinements and innovationsBe results-oriented in the face of ambiguous problems and uncertain outcomesWhat You'll BringStrong research background, as demonstrated through papers and a graduate degree (MS or PhD) in Electrical Engineering, Computer Sciences, Mathematics, or equivalent experience.High-impact publications at peer-reviewed AI conferences (e.g. *CL, NeurIPS, ICML, ICLR).Significant real-world impact, as demonstrated through open source contributions and deployed technology.Strong programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production.Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data.Must be willing to work from our SF office at least 3x per weekThis position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco within 6 months of accepting an offer.We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you’re interested in the role but aren’t sure whether or not you’re a good fit, we’d still like to hear from you.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you.How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Diversity & InclusionAbridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 
Machine Learning Engineer
Data Science & Analytics
NLP Engineer
Software Engineering
Research Scientist
Product & Operations
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EvenUp.jpg

Software Engineer, Client Portal (0-2 years)

Evenup
US.svg
United States
CA.svg
Canada
Full-time
Remote
false
EvenUp is one of the fastest-growing generative AI startups in history, on a mission to level the playing field for personal injury victims, which range from motor vehicle accidents to child abuse cases. Our products empower law firms to secure faster settlements, higher payouts, and better outcomes for those who need it most.Our Client Portal team is searching for early-in-career engineers who will help architect cutting-edge software integrations and revolutionize the user experience for EvenUp customers! If you're passionate about understanding user needs and ready to tackle their pain points head-on, this is your chance to shine. Working closely with our talented engineering squad, you'll spearhead the enhancement of our integration engine while paving the way for future innovations. This role isn't just about coding—it's about making an immediate impact on our business and paving the path for growth opportunities across the organization. Dive into the dynamic world of legal tech and join us in shaping its future.This is a hybrid role with the expectation of working at least 3 days a week from our downtown Toronto or San Francisco hubs.What you'll do:Actively engage in the full project lifecycle across the stack, with full ownership from conception to deployment and iteration.Collaborate closely with backend engineers, product owners & designers to develop efficient, innovative solutions.Collaborate with stakeholders to gather requirements and translate them into technical solutions.Conceptualize the design and development of interfaces and integration architecture.Document technical interface requirements and convert specifications into technical designs.Solve problems with extensive programming skills and abilities in multiple coding languages and frameworks.Optimizing application performance and responsiveness to ensure a smooth user experience.What we look for:Development Experience: 0-2 years of hands-on, relevant experience crafting applications and services, ensuring intuitive and user-friendly experiences.Technical Expertise: Extensive experience in integrating with third-party vendors while designing and implementing efficient and dependable integration frameworks.API Design and Development: Skilled in crafting RESTful APIs adhering to industry best practices and standards, coupled with a willingness to impart knowledge and mentor fellow engineers.Versatile Skillset: Solid grasp of software development fundamentals, encompassing data structures, algorithms, design patterns, and familiarity with various protocols like SOAP, REST, and GraphQL, along with server-side languages like SQL.Skilled Communication: Ability to communicate technical ideas or issues in easy-to-understand and actionable terms.Bonus: experience with React/Typescript and experience in AI, legal tech, and social impact projects.Notice to Candidates:EvenUp has been made aware of fraudulent job postings and unaffiliated third parties posing as our recruiting team – please know that we have no affiliation or connection to these situations. We only post open roles on our career page (https://jobs.ashbyhq.com/evenup) or reputable job boards like our official LinkedIn or Indeed pages, and all official EvenUp recruitment emails will come from the domains @evenuplaw.com, @evenup.ai, @ext-evenuplaw.com or no-reply@ashbyhq.com email address. If you receive communication from someone you believe is impersonating EvenUp, please report it to us by emailing talent-ops-team@evenuplaw.com. Examples of fraudulent email domains include “careers-evenuplaw.com” and “careers-evenuplaws.com”. Benefits & Perks:Our goal is to empower every team member to contribute to our mission of fostering a more just world, regardless of their role, location, or level of experience. To that end, here is a preview of what we offer:Choice of medical, dental, and vision insurance plans for you and your familyFlexible paid time off10 US observed holidays, and Canadian statutory holidays by provinceA home office stipend401(k) for US-based employeesPaid parental leaveSabbatical programA meet-up program to get together in person with colleagues in your areaOffices in San Francisco and TorontoPlease note the above benefits & perks are for full-time employees About EvenUp:EvenUp is on a mission to level the playing field in personal injury cases. EvenUp applies machine learning and its AI model known as Piai™ to reduce manual effort and maximize case outcomes across the personal injury value chain. Combining in-house human legal expertise with proprietary AI and software to analyze records. The Claims Intelligence Platform™ provides rich business insights, AI workflow automation, and best-in-class document creation for injury law firms. EvenUp is the trusted partner of personal injury law firms. Backed by top VCs, including Bessemer Venture Partners, Bain Capital Ventures (BCV), SignalFire, NFX, DCM, and more, EvenUp’s customers range from top trial attorneys to America’s largest personal injury firms. EvenUp was founded in late 2019 and is headquartered in San Francisco. Learn more at www.evenuplaw.com.EvenUp is an equal opportunity employer. We are committed to diversity and inclusion in our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Software Engineer
Software Engineering
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Cohere Health.jpg

Product Manager, Search and Embeddings

Cohere
US.svg
United States
Full-time
Remote
false
Who are we?Our mission is to scale intelligence to serve humanity. We’re training and deploying frontier models for developers and enterprises who are building AI systems to power magical experiences like content generation, semantic search, RAG, and agents. We believe that our work is instrumental to the widespread adoption of AI.We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. We like to work hard and move fast to do what’s best for our customers.Cohere is a team of researchers, engineers, designers, and more, who are passionate about their craft. Each person is one of the best in the world at what they do. We believe that a diverse range of perspectives is a requirement for building great products.Join us on our mission and shape the future!Product Management at Cohere: Our team is responsible for driving the direction of Cohere’s technology to the world through our interfaces. We’ve released generative models like Command A, Retrieval models like Embed 4 and Rerank 3.5, and products such as North and Compass. At Cohere, PMs work on the core models, APIs, and end-to-end products that serve our enterprises and developers.We view the role that PMs play at Cohere to be “full-stack” in the sense that you will work with cross-functional stakeholders at every step of the way when training and evaluating the models, delivering product, ensuring successful GTM and customer happiness.  About The Search and Embeddings RoleOne of the most exciting applications for generative AI is in its use in Retrieval Augmented Generation (RAG) and Agents - Search and Embeddings plays a critical role in ensuring that LLMs have the correct context in order to answer the user needs. The focus of this PM will not only be on the role that search plays in RAG/Agents but also in traditional search. The expectation is that you have experience with working on Search products and Embedding / Cross-Encoder models. The Search and Embedding PM manages the following models and products:Embeddings (Embed-v4.0)Rerank (Rerank-v3.5) Compass (Cohere’s Search Solution) Evaluation of Search performance across all products and models In this role, you will: Define strategic priorities and roadmap for improving retrieval model performance, focusing on enterprise needs and emerging capabilities. Use data and customer engagements to better understand user needs and guide future product and model development.Collaborate with a wide range of stakeholders, including teams in product, finance, go-to-market, engineering, and marketing.Drive product strategy and monetization through a deep understanding of the increasingly dynamic and competitive AI Landscape. Read lots of papers and collaborate with ML on ensuring our models remain SOTA In order to be successful in this role, you have:At least 4+ years of product management experience, understanding customer needs, and launching successful products.At least 1+ years of working on search products and embedding/reranking models.Obtained a Bachelor’s or postgrad degree in CS, ML or related field, or a background in machine learning, algorithms, large scale systems, and statistics.Have proven experience working in a technical environment with cross-functional teams to drive product vision, define requirements, and guide the team through key milestones.Showcase strong leadership, organizational, and execution skills, along with proven communication abilities.If some of the above doesn’t line up perfectly with your experience, we still encourage you to apply! If you want to work really hard on a glorious mission with teammates that want the same thing, Cohere is the place for you.We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form, and we will work together to meet your needs.Full-Time Employees at Cohere enjoy these Perks:🤝 An open and inclusive culture and work environment 🧑‍💻 Work closely with a team on the cutting edge of AI research 🍽 Weekly lunch stipend, in-office lunches & snacks🦷 Full health and dental benefits, including a separate budget to take care of your mental health 🐣 100% Parental Leave top-up for 6 months for employees based in Canada, the US, and the UK🎨 Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement🏙 Remote-flexible, offices in Toronto, New York, San Francisco and London and co-working stipend✈️ 6 weeks of vacationNote: This post is co-authored by both Cohere humans and Cohere technology.
Product Manager
Product & Operations
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Senior Industry Content Expert

Dataiku
FR.svg
France
Remote
false
Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge.Dataiku’s mission is big: enable all people throughout companies around the world to use data by removing friction surrounding data access, cleaning, modeling, deployment, and more. But it’s not just about technology and processes; at Dataiku, we also believe that people (including our people!) are a critical piece of the equation. Dataiku’s value proposition is unique on the market as it allows people with very different types of expertise & technical skills to collaborate on a single platform, from no-code/business people to the most advanced Data Scientists, and develop end-to-end Analytics, Predictive and Gen AI projects, from exploration to deployment. Mission Description Dataiku today supports 700+ organizations on their AI journey. While our portfolio of customers covers the full span of industries and domains, patterns have emerged, showing particular appetite for our technology within specific industries and domains. We aim to amplify these motions, bring  more focus to high priority market segments, and boost Dataiku’s attractiveness through deep industry and domain understanding combined with platform-embedded solutions to accelerate relevance and value. As part of its development acceleration, Dataiku is looking for an Industry Content Expert to reinforce Dataiku’s Business Solutions team. The Industry Content Experts will be in charge of  Support the development of our industry/domain strategic vision through research, insights collection, structuring and sharing of the right analytics and reports.  Driving content strategy for our industries and solutions assets in strong collaboration with Industry Experts, Account teams  and Marketing team. Leading transversal projects within the team to support the scale of the Business Solutions team and align with all other teams. This role reports to one of the Industry Solutions Directors and, manages an apprenticeship program, and works cross-functionally with different field-facing teams (AEs, SEs, BDRs, CS, SEs, Marketing, Product …).  How you’ll make an impact :  Support the development of our industry/domain strategic vision and drive the resulting content strategy for our industries and solutions assets in strong collaboration with Subject Matter Experts  and  Marketing team Conduct comprehensive research & analysis and summarize key information on industry dynamics, challenges, AI maturity, common AI use cases, and other dimensions relevant to AI Create relevant materials for our go-to-market teams (BDR, Sales, SE,…) to develop our vision of how Dataiku can help companies solve their industry challenges thanks to Data & AI  Create relevant materials to foster the use of Dataiku solutions as powerful accelerators for business outcomes Coordinate with the Marketing team to ensure the timely release of blog posts, web content, and a curated library of assets highlighting our industries and solutions. Lead transversal projects within the team  Define, build, and run transversal projects to scale the impact of the Business Solutions Team (ie. proactively launch new assets/processes/tools to help the team be more efficient) Own and/or contribute to cross-industries projects to support the growth of the Business solutions team.  Your missions will be run in tight partnership with teams across the company, including sales, marketing, customer, services, product management, and technical alliances. Such collaboration requires strong diplomatic skills and the ability to lead small cross-functional project teams. Manage an apprenticeship program   What you need to be successful  Bachelor’s degree in Marketing, Business, or a related field. 3 to 5 years of demonstrated experience leading strategy research, content strategy, development, and execution in a business or technology-focused environment Strong communication, storytelling, and writing skills, with a proven ability to translate technical concepts into compelling narratives (slides, blog posts, go-to-market assets..). Must have a technical mindset -  You are excited to get into Data & AI  and understand how it works, so you can explain it to others and teach them about its benefits. You can demonstrate this mindset through prior experience or examples. Strong appetite for understanding a variety of business processes (internal and external) across several industries and for continuously bridging the gap between business needs and technical answer Very organized, strong project management skills with the ability to lead multiple initiatives simultaneously. Experience in working closely with diverse teams and seniority levels. Fully fluent in English #LI-Hybrid   What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.   Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.com     Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
Content Strategist
Marketing & Sales
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Frontend Engineer

Durable
CA.svg
Canada
Full-time
Remote
false
Frontend Engineer About Durable: Our mission at Durable is to make owning a business easier than having a job. Durable builds AI that does the work for you. Our goal is to own the DIFY (Do It For You) small business category. What is DIFY? It is a new category of technology that is faster and more cost effective than a human, and much easier to use than software. It is an AI first approach to solving customer problems. You don't need to learn new software. You don't need to read help docs. You don't need to learn how to prompt. You provide business context and feedback, and the work is done for you. We believe in a world where everyone is a business owner. Whether it's a full-time, part-time, or side hustle - we want to make it frictionless to start and operate a business. Since launching in late 2022, over 5 million websites have been built with our AI powered website builder. We are generating significant revenue, well-funded by Silicon Valley investors, and growing extremely fast. Our vision is much bigger, and we're looking for incredible people to join our team and make an impact. What You’ll Do: In this high-impact role, you’ll join a product engineering pod focused on building fast, polished, AI-native user experiences. You’ll work closely with design and product to craft responsive features and interaction patterns using modern frontend tools and frameworks. Key Responsibilities: Build modern, performant, and highly interactive UI features using React, TypeScript, Tailwind CSS, and NextJS Implement and maintain design systems, UI components, and documentation using Storybook Create delightful, interactive experiences with motion and animation using Rive and Radix primitives Integrate data and API logic via TRPC and TanStack Query with an eye for loading states and transitions Optimize for Core Web Vitals, accessibility, and multi-device responsiveness Collaborate with product, design, and AI teams to shape high-quality, user-facing experiences Work closely with design to prototype, test, and polish features that feel fast and intuitive Ensure consistent UX quality and frontend performance as we scale our platform Qualifications: 3+ years of professional experience building production-grade web applications Strong fluency with React, NextJS, TypeScript, and modern frontend engineering best practices Deep experience with Tailwind CSS and design system implementation Experience with animation, micro-interactions, or tools like Rive and Framer Motion Familiarity with frontend architecture, component libraries, and state management (e.g. TanStack Query, TRPC) Care for performance, browser fundamentals, accessibility, and visual detail Bonus: Experience with design engineering, design tokens, visual regression testing, or contributing to UI kits Why Join Us? At Durable, we’re committed to creating an environment where you can thrive. Here’s what you can look forward to: Hybrid Flexibility & Gastown HQ: Our well-stocked Vancouver office offers stunning views of the North Shore, and while we value in-person collaboration, you're free to work from home when you need to. Mondays and Thursdays are our in-office anchor day. Comprehensive Benefits: Health and dental coverage to support your well-being. Home Office Stipend: Receive a stipend to create a comfortable and productive workspace. Professional Development: We support your growth with opportunities like conferences, courses, and speaking engagements. Team Events: Connect with your colleagues through retreats and team-building activities. Equipment: Start strong with a company-provided laptop and the tools you need to succeed. Commitment to engineering excellence: We care deeply about our craft and build using the most AI-native stack and tools available. Location: Remote. We welcome candidates from across Canada, and have a preference for PST timezone for overlap with the majority of our team.  Compensation: Base salary range is $180,000-$225,000 CAD, plus equity. This range is relevant to candidates located in Vancouver, Canada. Actual compensation will be based on a combination of factors including experience and skill level. Recruitment process: This is our typical recruitment process. It may vary a bit but generally this is what you can expect to take place over the span of several weeks. Recruiter screen (Online, 15-20mins) Hiring Manager screen (Online, 15-20mins) Behavioural (On-site, 30mins) Technical Interview (On-site, 90mins) Group Chat (Online or On-site, 25mins) References + Offer The behavioural, technical, and group portions are often completed at the same time at our office.
Software Engineer
Software Engineering
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Strategic Business Development Lead

Harvey
GE.svg
Germany
Full-time
Remote
false
Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewHarvey’s Strategic Business Development Leads are skilled lawyers from top-tier law firms who apply their legal experience to ensure that current and prospective customers understand how Harvey’s solutions enhance specific day-to-day workflows, working alongside Harvey’s Account Executives to support all aspects of our sales strategy. Strategic Business Development Leads build consultative relationships with law firm partners and associates and in-house attorneys at private equity firms and Fortune 500 companies, becoming trusted advisors on how Harvey’s AI solutions can make them more effective.Similar to how Solutions Architects secure the “technical win” in the sales process, Strategic Business Development Leads secure the “legal win” by performing in-depth customer discovery and education on Harvey’s solutions through targeted meetings and demos that resonate with the customer’s day-to-day workflows specific to their legal practice area.Strategic Business Development Leads utilize their experience practicing law and their legal mindset to ask thoughtful questions to understand the needs of law firm and in-house attorneys, develop credibility, and then partner with Account Executives to educate them on Harvey’s value via large and small group sessions as well as one-to-one conversations.What You’ll DoEngage with English- and German-speaking lawyers at existing and prospective customers to understand their workflow challenges, strategic objectives, and broader firm context — then demonstrate how Harvey’s AI solutions can address them.Establish yourself as a credible expert in solving customers’ specific legal problems (e.g. researching public and private databases for certain types of information, drafting and analyzing contractual provisions and whole documents, analyzing briefs and filings, corporate governance, conducting due diligence).Lead product demonstrations tailored to the context of various law firm practice groups and in-house legal teams, asking questions to validate how Harvey can add value and then showcasing Harvey’s features and benefits relevant to each prospective client’s potential use cases.Partner with the marketing team to develop content that will resonate with lawyers, tailored to the unique needs of their practice areas and client types.Act as the “Voice of the Customer,” using your legal perspective to help the broader sales team to develop and implement more effective strategies and synthesize customer feedback for the product team through a legal lens.Tailor the introduction of new solutions to specific customer needs.Further the market perception of Harvey as uniquely credible, substantive, and helpful in applying its AI solutions to make lawyers better at their jobs.Conduct research and analysis on customers and competitors.What You HaveJD or equivalent legal qualification.Fluent in German and English.At least 3 years of experience practicing law at a top-tier law firm (Vault 50 or equivalent), preferably with a corporate law or litigation focus.Executive engagement skills and presence, with an ability to establish strong relationships with key decision makers and build credibility at all levels.Outstanding presentation skills to both legal and executive audiences, whether impromptu on a whiteboard or using presentations and demos.Strong understanding of legal processes and challenges faced by legal professionals.Curiosity about AI’s potential to transform the legal industry.Sales or customer-facing experience, including law firm business development and/or secondment, is a plus, as is experience directly managing law firm client matters and client relationships.Additional Information for PostingsLocation: GermanyWork eligibility: Must have valid German work rights; Harvey does not currently offer visa sponsorship for this roleWhat We OfferBe part of building something special as a founding member of our Germany teamOpportunities to work on cross-functional go-to-market initiatives, with a focus on scaling sales strategy and driving revenue growthPlease find our applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.
Business Development
Marketing & Sales
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Staff Data Engineer

Glean Work
IN.svg
India
Full-time
Remote
false
About Glean: Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company’s cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence. Glean was born from Founder & CEO Arvind Jain’s deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.About the Role: Glean is building a world-class Data Organization composed of data science, applied science, data engineering and business intelligence groups. Our data engineering group is based in our Bangalore, India office. In this role, you will work on customer-facing and Glean employee-facing analytics initiatives: Customer-facing analytics initiatives: Customers rely on in-product dashboards and if they have the willingness and resources, self-serve data analytics to understand how Glean’s being used at their company in order to get a better sense of Glean’s ROI and partner with Glean to increase user adoption.  You’re expected to partner with backend and data science to maintain and improve the data platform behind these operations reflect usage on new features reflect changes on the underlying product usage logs on existing features identify and close data quality issues, e.g. gaps with internal tracking, and backfill the changes triage issues customers report to us within appropriate SLAs help close customer-facing technical documentation gaps  You will: Help improve the availability of high-value upstream raw data by  channeling inputs from data science and business intelligence to identify biggest gaps in data foundations partnering with Go-to-Market & Finance operations groups to create streamlined data management processes in enterprise apps like Salesforce, Marketo and various accounting software partnering with Product Engineering teams as they craft product logging initiatives & processes Architect and implement key tables that transform structured and unstructured data into usable models by the data, operations, and engineering orgs. Ensure and maintain the quality and availability of internally used tables within reasonable SLAs Own and improve the reliability, efficiency and scalability of ETL tooling, including but not limited to dbt, BigQuery, Sigma. This includes identifying implementing and disseminating best practices as well. About you: You have 9+ yrs of work experience in software/data engineering (former is strongly preferred) as a bachelor degree holder. This requirement is 7+ for masters degree holders and 5+ for PhD Degree holders. You’ve served as a tech lead and mentored several data engineers before. Customer-facing analytics initiatives: You have experience in architecting, implementing and maintaining robust data platform solutions for external-facing data products. You have experience with implementing and maintaining large-scale data processing tools like Beam and Spark. You have experience working with stakeholders and peers from different time zones and roles, e.g. ENG, PM, data science, GTM, often as the main data engineering point of contact. Internal-facing analytics initiatives: You have experience in full-cycle data warehousing projects, including requirements analysis, proof-of-concepts, design, development, testing, and implementation You have experience in database designing, architecture, and cost-efficient scaling You have experience with cloud-based data tools like BigQuery and dbt You have experience with data pipelining tools like Airbyte, Apache, Stitch, Hevo Data, and Fivetran General qualifications: You have a high degree of proficiency with SQL and are able to set best practices and up-level our growing SQL user base within the organization You are proficient in at least one of Python, Java and Golang. You are familiar with cloud computing services like GCP and/or AWS. You are concise and precise in written and verbal communication. Technical documentation is your strong suit.  You are a particularly good fit if: You have 1+ years of tech lead management experience. Note this is distinct from having a tech lead experience, and involves formally managing others. You have experience working with customers directly in a B2B setting. You have experience with Salesforce, Marketo, and Google Analytics. You have experience in distributed data processing & storage, e.g. HDFS Location: This role is hybrid (3 days a week in our Bangalore office) We are a diverse bunch of people and we want to continue to attract and retain a diverse range of people into our organization. We're committed to an inclusive and diverse company. We do not discriminate based on gender, ethnicity, sexual orientation, religion, civil or family status, age, disability, or race.
Data Engineer
Data Science & Analytics
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Software Engineer, Safety White Hat

OpenAI
US.svg
United States
Full-time
Remote
false
About the TeamThe Integrity White Hat team is responsible for proactively uncovering failure modes in OpenAI’s most advanced models, products and runtime systems before they reach the world. This small, high-impact group partners closely with research, safety teams and security to probe vulnerabilities, surface early warning signs of misalignment, and ensure that our models meet the highest standards of safety.About the RoleYou will be a founding member of the team and help shape the strategy and vision for how we ensure fast and safe deployment of more powerful models and product experiences. You’ll define the scope and methodology of adversarial evaluations, drive alignment between model development and safety, and ensure OpenAI remains at the forefront of proactive risk mitigation.We’re looking for someone who thrives at the intersection of research and safety, operate with high integrity and urgency, and are motivated by the mission to ensure AGI benefits all of humanity.In this role, you will:Define the strategic direction and methodology for adversarial testing—including empirical probing, stress-testing, and alignment-focused evaluations.Identify and characterize emergent risks in reasoning, instruction-following, agentic behavior, and other critical capabilities before they result in external incidents.Collaborate with external partners to extend the reach and rigor of the White Hat efforts.Operate with a lean and efficient structure, balancing in-house expertise with vendor support where appropriate.You might thrive in this role if you:Have a proven track record of leading White Hat initiatives for frontier models or complex AI systems.Bring deep familiarity with LLM behavior, post-training evaluation techniques, and AI safety research.Are highly attuned to failure modes in AI systems—e.g., sycophancy, jailbreaking, and harmful outputs—and can surface these before production.Prefer working in close proximity to research teams rather than commercial or sales-focused environments.Have experience building and scaling high-trust, high-performance technical teams.About OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer
Software Engineering
Machine Learning Engineer
Data Science & Analytics
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Engineering Manager, Agent Software Engineering

Decagon
US.svg
United States
Full-time
Remote
false
About DecagonDecagon is the leading conversational AI platform empowering every brand to deliver concierge customer experience. Our AI agents provide intelligent, human-like responses across chat, email, and voice, resolving millions of customer inquiries across every language and at any time.Since coming out of stealth, Decagon has experienced rapid growth. We partner with industry leaders like Hertz, Eventbrite, Duolingo, Oura, Bilt, Curology, and Samsara to redefine customer experience at scale. We've raised over $200M from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels such as the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.We’re an in-office company, driven by a shared commitment to excellence and velocity. Our values—customers are everything, relentless momentum, winner’s mindset, and stronger together—shape how we work and grow as a team.About the TeamThe Agent SWE team at Decagon deploys the most advanced conversational AI agents to our customers that impact millions of users and directly drive Decagon’s growth. You will guide a team to build on our industry-leading AI agent platform, collaborate directly with customers and use your own creativity to devise long-term, scalable solutions that support their needs.Our mission is to deliver magical support experiences — AI agents working alongside human agents to help users resolve their issues.About the RoleAs a leader on the Agent Software Engineeirng team, you’ll have complete ownership and autonomy in shipping best-in-class AI agents, from initial implementation through continuous iteration. You’ll work directly with leaders across industries like finance, healthcare and hospitality, solving their users’ needs with reliable and intuitive AI agents.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who is excited to mentor a team of junior engineers, dives deep into complex system challenges and builds elegant solutions that scale to millions of users.In this role, you willLead a team to design and build AI agents that outperform human agents in managing complex customer interactions and driving customer retentionCollaborate closely with enterprise customers across a number of verticals, understand their needs and transform these pain points into magical AI agentsPartner with product, design and research to identify cross-customer trends that guide the evolution of Decagon’s agent building platform and research effortsContribute to team strategy and help define the future of AI customer support agentsYour background looks something like thisHave 1+ years of engineering management experienceHave 5+ years of industry experience in software engineeringProficiency with Python, Typescript and asynchronous programmingA high degree of comfort digging into systems failures within deep technology stacks using any tool necessaryEven betterPrior experience working with multi-modal modelsBenefitsMedical, dental, and vision benefitsTake what you need vacation policyDaily lunches, dinners and snacks in the office to keep you at your bestCompensation$300K – $375K + Offers Equity
Software Engineer
Software Engineering
Machine Learning Engineer
Data Science & Analytics
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Backend AI Engineer

Mintlify
US.svg
United States
Full-time
Remote
false
Why Mintlify?We're on a mission to empower builders. Massive reach: Our docs platform serves 100 million+ developers every year and powers documentation for 10,000+ companies, including Anthropic, Cursor, Windsurf, Scale AI, X, and over 20% of the last YC batch.Small team, huge impact: We’re only 25 people today, backed by $22 million in funding, each new hire shapes the company’s trajectory.Culture of slope over y-intercept: We value learning velocity, grit, and unapologetically unique personalities.We grew in value faster than headcount and we’re looking to align the two quickly.What you'll work on hereBackend software engineering & infrastructure engineering to support the AI and agentic flowsRAG/data ingestion pipelinesPrompt engineeringModel performance and evalsWhat you bring to the table1+ year of software development experienceDeep customer empathy, including the desire to speak with customers and make product decisionsStrong ability to learn new technologies and be productive in unfamiliar domainsPassion for tasteful user experienceDeep experience in LLM fine-tuning, RAG systems, and AI automationsBonus points: Previously founded a startup. Extra bonus for a dev-tools startupWhy you should join our engineering teamYou're all about finding the intersection between what excites you and business priorities, and you're excited for your role to evolve accordinglyYou crave a mix of collaborative and heads-down builder time, and are excited to contribute to a small-but-mighty teamYou're looking for an environment where the best ideas win and acknowledge when you're wrongCompany Benefits:Competitive compensation and equity | Free Waymos20 days paid time off every year | Health, dental, vision401k or RRSP | Free lunch and dinners$420/mo. wellness stipend | Annual team offsite
Machine Learning Engineer
Data Science & Analytics
Software Engineer
Software Engineering
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Account Executive, Enterprise

Harvey
GE.svg
Germany
Full-time
Remote
false
Why HarveyHarvey is a secure AI platform for legal and professional services that augments productivity and automates complex workflows. Harvey uses algorithms with reasoning-adept LLMs that have been customized and developed by our expert team of lawyers, engineers and research scientists. We’ve found product market fit and are scaling our team very quickly. Some reasons to join Harvey are:Exceptional product market fit: We have partnered with the largest law firms and professional service providers in the world, including Paul Weiss, A&O Shearman, Ashurst, O'Melveny & Myers, PwC, KKR, and many others.Strategic investors: Raised over $500 million from strategic investors including Sequoia, Google Ventures, Kleiner Perkins, and OpenAI.World-class team: Harvey is hiring the best talent from DeepMind, Google Brain, Stripe, FAIR, Tesla Autopilot, Glean, Superhuman, Figma, and more.Partnerships: Our engineers and researchers work directly with OpenAI to build the future of generative AI and redefine professional services.Performance: 4x ARR in 2024.Competitive compensation.Role OverviewWe are seeking an Enterprise Account Executive to lead commercial growth across Germany. This role is responsible for identifying opportunities, managing complex sales cycles, and building long-term relationships within the legal and professional services sector.This position will play a key role in expanding Harvey’s presence in the DACH region, working cross-functionally to deliver tailored solutions to clients.What You’ll DoDeliver against sales targets with a focus on sustainable growth and performance excellence.Own and grow a portfolio of named enterprise accounts across Germany, driving full-funnel sales activity from prospecting through to commercial negotiation and onboarding.Understand client pain points, organisational structure, and buying processes; tailor solutions that align with strategic outcomes.Lead high-impact product demos and client meetings that clearly articulate Harvey’s business value and technical capabilities.Collaborate cross-functionally with product, legal, engineering, and GTM to inform roadmap and surface client needs.Develop deep, long-term relationships with legal, innovation, and executive stakeholders across the region.Document learnings, iterate on messaging, and help build scalable processes to accelerate regional growth.What You HaveMinimum 5 years of experience in enterprise B2B SaaS sales, preferably with exposure to AI, legaltech, or vertical softwareTrack record of success managing complex sales cycles with multiple stakeholdersStrong communication skills, with the ability to explain technical products to non-technical audiencesInterest in the legal industry and a commitment to enhancing knowledge work through technologyFamiliarity with enterprise sales practices in the German regionSelf-motivated and results-oriented, with a collaborative approach to working cross-functionallyAdditional Information for PostingsLocation: GermanyWork eligibility: Must have valid German work rights; Harvey does not currently offer visa sponsorship for this roleWhat We OfferBe part of building something special as a founding member of our Germany teamOpportunities to work on cross-functional go-to-market initiatives, with a focus on scaling sales strategy and driving revenue growthPlease find our applicant privacy notice here.Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing interview-help@harvey.ai.
Enterprise Sales
Marketing & Sales
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Staff State Estimation Engineer

Haydenai
US.svg
United States
Full-time
Remote
true
About UsAt Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.Job Summary:The Staff State Estimation Engineer will coordinate with cross-functional teams and drive the development of advanced mapping, localization, and SLAM (Simultaneous Localization and Mapping) solutions for embedded camera systems. They will derive and implement novel real-time pose estimation algorithms. Research, develop and implement algorithms to solve large-scale mapping. Collaborate with other engineers to develop algorithms for in-situ and in-factory multi-sensor calibration.Responsibilities: Lead high-impact multidisciplinary projects across teams and work independently to define the scope and work requirements.Derive and implement novel, real-time pose estimation algorithms and share the work across a multidisciplinary team.Research, develop, and implement algorithms to solve problems such as large-scale mapping, probabilistic object tracking, online/offline sensor calibration, and/or vision-based localization.Collaborate with deep learning, device, and cloud teams to improve overall system architectures.Manage complex, cross-functional projects from conception to deliveryCreate and maintain comprehensive project roadmaps and technical documentationProgram and develop software in C++ and perform detailed code reviews for other team membersRequired Qualifications:Bachelor of Science degree (M.S. or Ph.D. preferred) or the foreign equivalent in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, Electrical Engineering or a related field.10+ years of experience (8+ with M.S degree, 6+ with Ph.D.) in the position offered, as a software engineer, software engineer intern, or a related state estimation engineer role.10+ years of experience (8+ with M.S degree, 6+ with Ph.D.) with all of the following: programming in C++; designing and developing software; classical ML, Linear Algebra.Understanding of stochastic processes, geometric computer vision techniques, and nonlinear/convex optimization algorithms.Understanding of various filtering algorithms (Kalman filters, particle filters, etc.) and nonfiltering techniques (nonlinear least squares, IRLS, etc.)Understand numerical stability, sensor modeling, and system/noise identification concepts.Understand theoretical shortcomings in modern algorithms and problem solve to overcome them.Understanding of camera geometry, bundle adjustment, stereo vision, structure from motion, feature tracking, multi-object tracking, IMU integration, factor graphs, etc.Published research in computer vision and robotics (if M.S. or Ph.D.).Strong leadership and communication skills.Experience in technology transfer and commercialization.Preferred Qualifications:Experience deploying SLAM/VIO estimators in a real-world application.Experience with multiple sensors such as GPS, IMU, camera, and wheel odometry.Experience utilizing/interacting with deep learning approaches to improve results.Experience leading a small team of engineers.
Computer Vision Engineer
Software Engineering
Software Engineer
Software Engineering
Robotics Engineer
Software Engineering
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AI Strategist Lead

Distyl
US.svg
United States
Full-time
Remote
false
What We Are Looking ForAs an AI Strategist Lead, you will lead Distyl’s most complex, high impact customer engagement end-to-end. Partnering a senior technical leader, you’ll oversee a multidisciplinary team of engineers, researchers, and AI Strategists to deliver enterprise-scale outcomes that fundamentally transform how our customers operateYou’ll work directly with C-suite and senior executives at Fortune 500 companies, helping them scope and shape AI -native strategies, and drive adoption of new workflows. You will be accountable not just for delivery, but for measurable business impact, long-term value creation, and building trusted executive relationships.You’ll shape the vision, drive execution, and influence our product roadmap by representing the voice of our most strategic customers. This role is ideal for someone with a rare blend of operational rigor, customer obsession, and strategic clarity - who thrives in ambiguity, leads with influence, and is passionate about AI.Key ResponsibilitiesExecutive Engagement: Build trust with senior stakeholders, including C-suite and VP-level sponsors. Align on business priorities and act as a strategic thought partner.End-to-End Ownership: Lead customer engagements from initial scoping to sustained value delivery. Define success, design the roadmap, and measurable outcomes.AI Strategy & Value Discovery: Identify the most valuable problems to solve and aligning solutions to ROI. Team Leadership: Jointly lead teams of 10+ engineers, researchers, AI Strategists and program managers. Set clear goals, foster a high-performing team culture, and manage cross-functional execution.Enterprise-Grade Delivery: Ensure technical solutions meet performance, compliance, and scalability standards. Navigate complex enterprise environments and drive cross-functional dependencies to deliver deeply integrated solutions.Change Management & Adoption: Drive onboarding, user adoption, and change management to ensure systems are embedded into daily workflows.Platform Influence: Represent the customer’s voice to the Platform team. Surface insights and themes that inform platform development.What We RequireEnterprise-Scale Delivery Experience: A track record of successfully leading large, complex high-budget customer engagements or transformation programs ($10M+) ideally involving AI. Most successful candidates will have at least 10 years of experience working with enterprise customers.People Leadership: Track record of leading cross-functional teams and mentoring others. You foster clarity, motivation, and accountability at scale. Enterprise Scale Delivery: Demonstrated experience delivering mission-critical solutions for organizations with significant scale, complexity, and regulatory considerations.Executive Communication: Comfortable presenting to C-level stakeholders and translating between technical and non-technical audiences.Strategic Leadership: Ability to frame high-level business challenges, guide strategic decision-making, and influence senior executives.Customer-Centric Mindset: Deep empathy for users and the ability to identify solutions that create tangible, lasting business impact..Technical Acumen: Proficiency in programming or data analysis tools (e.g., Python, R, SQL) and a solid understanding of AI/ML concepts.Passion for AI: You believe in AI’s transformative potential and want to help shape how it’s applied responsibly and effectively in the enterprise.Bias for Action: You’re comfortable with ambiguity, eager to take ownership, and capable of turning vision into structured execution.Travel: Flexibility to travel 25–75% depending on engagement needs. What We OfferCompetitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.Collaborative and supportive work environment, with a strong focus on personal and professional growth.Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.Note: Distyl is a hybrid working environment and requires in-office collaboration 3 days a week. We have offices in San Francisco, CA and New York, NY, and this role is available in either location.
Product Manager
Product & Operations
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Engineering Manager, ChatGPT Growth

OpenAI
US.svg
United States
Full-time
Remote
false
About the TeamThe ChatGPT team works across research, engineering, product, and design to bring OpenAI’s technology to consumers and businesses. We seek to learn from deployment and distribute the benefits of AI, while ensuring that this powerful tool is used responsibly and safely. Safety is more important to us than unfettered growth.About the RoleWe are looking for an experienced and strategic engineering leader to guide our efforts around user growth for ChatGPT. As part of this, your team will improve discoverability, onboarding and the new user experience, social features, and more through strategic bets and rapid experimentation.In this role, you will:Hire and manage a diverse, high-performing engineering teamImprove discoverability, onboarding and the new user experience, social features and moreDefine and track progress against key user growth metrics via rapid, data-driven experimentationCoach engineers to uplevel their impactCreate a diverse, equitable, and inclusive culture that makes all feel welcome while enabling radical candor and the challenging of group thinkYou might thrive in this role if you:Have 10+ years of experience in engineering, including 6+ years of experience in engineering managementHave experience building and leading growth engineering in a fast-paced environmentCare deeply about diversity, equity, and inclusion, and have a track record of building inclusive teamsTake pride in both rapid experimentation and in building delightful, reliable product experiencesHave a strong track record of coaching engineers to achieve their peak potentialAre comfortable with ambiguity and rapidly changing conditions. You view changes as an opportunity to add structure and order when necessaryHave experience closing competitive candidates for your team, and the ability to craft and convey compelling visions of the futureHave a voracious and intrinsic desire to learn and fill in missing skills—and an equally strong talent for sharing learnings clearly and concisely with othersAbout OpenAIOpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.OpenAI Global Applicant Privacy PolicyAt OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
Software Engineer
Software Engineering
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Distyl.jpg

AI Strategist Lead

Distyl
US.svg
United States
Full-time
Remote
false
What We Are Looking ForAs an AI Strategist Lead, you will lead Distyl’s most complex, high impact customer engagement end-to-end. Partnering a senior technical leader, you’ll oversee a multidisciplinary team of engineers, researchers, and AI Strategists to deliver enterprise-scale outcomes that fundamentally transform how our customers operateYou’ll work directly with C-suite and senior executives at Fortune 500 companies, helping them scope and shape AI -native strategies, and drive adoption of new workflows. You will be accountable not just for delivery, but for measurable business impact, long-term value creation, and building trusted executive relationships.You’ll shape the vision, drive execution, and influence our product roadmap by representing the voice of our most strategic customers. This role is ideal for someone with a rare blend of operational rigor, customer obsession, and strategic clarity - who thrives in ambiguity, leads with influence, and is passionate about AI.Key ResponsibilitiesExecutive Engagement: Build trust with senior stakeholders, including C-suite and VP-level sponsors. Align on business priorities and act as a strategic thought partner.End-to-End Ownership: Lead customer engagements from initial scoping to sustained value delivery. Define success, design the roadmap, and measurable outcomes.AI Strategy & Value Discovery: Identify the most valuable problems to solve and aligning solutions to ROI. Team Leadership: Jointly lead teams of 10+ engineers, researchers, AI Strategists and program managers. Set clear goals, foster a high-performing team culture, and manage cross-functional execution.Enterprise-Grade Delivery: Ensure technical solutions meet performance, compliance, and scalability standards. Navigate complex enterprise environments and drive cross-functional dependencies to deliver deeply integrated solutions.Change Management & Adoption: Drive onboarding, user adoption, and change management to ensure systems are embedded into daily workflows.Platform Influence: Represent the customer’s voice to the Platform team. Surface insights and themes that inform platform development.What We RequireEnterprise-Scale Delivery Experience: A track record of successfully leading large, complex high-budget customer engagements or transformation programs ($10M+) ideally involving AI. Most successful candidates will have at least 10 years of experience working with enterprise customers.People Leadership: Track record of leading cross-functional teams and mentoring others. You foster clarity, motivation, and accountability at scale. Enterprise Scale Delivery: Demonstrated experience delivering mission-critical solutions for organizations with significant scale, complexity, and regulatory considerations.Executive Communication: Comfortable presenting to C-level stakeholders and translating between technical and non-technical audiences.Strategic Leadership: Ability to frame high-level business challenges, guide strategic decision-making, and influence senior executives.Customer-Centric Mindset: Deep empathy for users and the ability to identify solutions that create tangible, lasting business impact..Technical Acumen: Proficiency in programming or data analysis tools (e.g., Python, R, SQL) and a solid understanding of AI/ML concepts.Passion for AI: You believe in AI’s transformative potential and want to help shape how it’s applied responsibly and effectively in the enterprise.Bias for Action: You’re comfortable with ambiguity, eager to take ownership, and capable of turning vision into structured execution.Travel: Flexibility to travel 25–75% depending on engagement needs. What We OfferCompetitive salary and benefits package, including equity options, medical/dental/vision covered at 100% for you and your dependents, 401K plan, and perks such as commuter benefits and lunch provided in office.Opportunity to be part of a mission-oriented company to create practical adoption during the biggest revolution in human productivity.Opportunity to work on cutting-edge AI technologies and make a real impact on the adoption of LLMs in the enterprise space.Collaborative and supportive work environment, with a strong focus on personal and professional growth.Exposure to a diverse range of real-world industries and projects, providing unique challenges and learning opportunities.Note: Distyl is a hybrid working environment and requires in-office collaboration 3 days a week. We have offices in San Francisco, CA and New York, NY, and this role is available in either location.
Product Manager
Product & Operations
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