Top AI Engineering Manager Jobs Openings in 2025

false

About DecagonDecagon is building the most advanced conversational AI agents for the enterprise. Since starting the company, we've been on a tear, winning over customers like Duolingo, Notion, Rippling, Eventbrite, Webflow, BILT and many more. Our AI agents provide a human-like customer support experience that enables enterprises to better serve their customers and efficiently manage their customer experience organizations.We've raised $100M in total funding from Bain Capital Ventures, Accel, a16z, BOND Capital, A*, Elad Gil, and notable angels, including the founders of Box, Airtable, Rippling, Okta, Lattice, and Klaviyo.About the TeamThe Product Engineering team at Decagon innovates on and refines the user experience, technical architecture and core features that power the most advanced conversational AI agents for enterprise customers. Decagon’s AI agents understand context, respond with genuine empathy, and solve complex problems with surgical precision.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 Product Engineering team, you’ll guide teams to build products that enable Customer Experience teams to train AI agents. Your team will develop cutting-edge methods to extract product insights from the treasure trove of unstructured data generated through conversations with end users.Engineers here own their work end-to-end and are trusted to make a real impact. This role is for someone who dives deep into complex system challenges, builds elegant solutions that scale to millions of users, and creates automation that prevents problems before they happen.In this role, you willLead a team to design an AI agent building platform that supports Customer Experience teams in training AI agentsDevelop techniques for extracting insights from unstructured conversational data that drive product decisionsBuild automation that monitors and detects issues across hundreds of millions of interactionsBreak down ambiguous product ideas into clear, iterative milestones and roadmaps.Your background looks something like thisHave 3+ years of engineering management experienceHave 5+ years of industry experience in software engineeringProficiency with Typescript, Python 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 – $415K + Offers Equity

true

About Rad AIAt Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.Recognized as one of the most promising healthcare AI companies by CB Insights and AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.If you’re ready to shape the future of healthcare, we’d love to have you on our team!Why Join Us:Rad AI’s engineering team is growing quickly for our award-winning products. We are seeking a world-class Engineering Manager to scale our team, and drive strategy and execution. As an engineering manager, you’ll be responsible for delivering on our product roadmap, partnering cross-functionally across engineering, product, and other organizations, and leading an engineering team where you’ll be responsible for mentorship, career development, and performance management. This is an in-person role, requiring you to be in the office three times a week.Our team moves fast and ships code to production continuously and will rely on our engineering leadership success to increase productivity by removing obstacles and keeping processes lean.What You’ll Be Doing:Report to our Continuity Engineering Manager to manage a team of software engineers working on the Continuity product at a variety of levels.Cross-functionally partner with other groups, including platform engineering, machine learning, product management to advance product features.Bring clarity to ambiguous situations, ensuring feature development aligns with long-term KPI improvements.Invest in individual growth, enabling your team to deliver with quality and confidence.Collaborate with senior leadership to chart out a strategic direction based on vital business metrics.Prioritize clear, constructive feedback, ensuring everyone on the team is aligned and empowered.Who We’re Looking For:7+ years of engineering experience with a minimum of 1 year of engineering management experience.Experience leading cross-functional product engineering teams focused on shipping with quality.Ability to understand KPI and business metrics, as well as the ability to identify and scope product feature work to maximize the business impact.Previous experience in performance management, including the ability to mentor and guide the professional and technical development of your team members.A bias to take action, and an ability to use best available data to justify your actions and opinions and make decisions that move the business forward.Expertise in growing teams, and previous experience recruiting engineers of multiple disciplines while ensuring a successful, supportive onboarding experience.Ability to plan ahead for potential obstacles, communicate areas of risk, and provide clear directives. Anticipate potential obstacles and plan accordingly.Have a philosophy of valuing each team member and understanding individual strengths and areas for growth.Nice to Haves:Experience in a healthcare startup or radiology-focused organization.Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!For US-Based Full-Time Roles, Rad AI offers a variety of benefits, including:Comprehensive Medical, Dental, Vision & Life insuranceHSA (with employer match), FSA, & DCFSA 401(k)11 Paid Company HolidaysLocation Flexibility (Remote-first company!)Flexible PTO policyAnnual company-wide offsitePeriodic team offsitesAnnual equipment stipendFor roles based outside the US, your recruiter can share more detailsAt Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.

true

About Norm AiNorm Ai is the Compliance AI Platform for legal standards-based reasoning and workflow automation.We developed the first Domain Specific Language (DSL) that fully represents regulatory requirements in AI code. Deployed through our enterprise platform, this DSL empowers Norm clients to transform workflows and enforce compliance checks at the core of their business operations.By building and deploying Government-Grade Regulatory AI, we are setting the standard for compliance processes within the world's largest institutions and paving the way for broader deployment of AI agents in highly regulated workflows. Our rapidly expanding client base manages a combined $17 Trillion in AUM.Our team comprises software engineers from Palantir, Google, Meta, AWS, Harvard, Stanford, and MIT, and legal engineers from Harvard Law, Stanford Law, Yale Law, Sullivan & Cromwell, Simpson Thacher, Davis Polk, Greenberg Traurig, the SEC, and FINRA.We have secured investments from Vanguard, Blackstone, Bain Capital, Coatue, Craft Ventures, New York Life, Citi, TIAA, Larry Summers, and Marc Benioff.This Role:As an Engineering Manager at Norm Ai, you will lead, support, and grow a high-performing engineering team, aligning their efforts with strategic business goals. You will partner closely with technical directors, legal engineers, product teams, and executive leadership to deliver innovative compliance solutions.You Will:Provide people leadership and career mentorship through regular 1:1s, performance management, and development planning. Collaborate closely with technical directors to ensure project execution aligns with strategic priorities and resource capabilities. Facilitate team processes, remove obstacles, and promote a collaborative and high-performance team environment. Lead hiring efforts, conduct interviews, and develop talent acquisition strategies in collaboration with technical directors and recruiting teams. Communicate effectively with senior leadership to ensure alignment and transparency on team progress, challenges, and successes. Regularly engage with cross-functional stakeholders to ensure your team’s work integrates seamlessly with broader organizational initiatives. Skills & Experience - Core:4+ years of experience as an engineering manager or similar leadership role. Demonstrated success managing high-performing teams and developing engineers' careers. Strong technical background – ideally in software engineering, machine learning, or AI research –enabling you to effectively collaborate with your team. Proven ability in stakeholder management, cross-team coordination, and resolving conflicts. Exceptional communication and interpersonal skills. Comfortable with strategic thinking, balancing immediate delivery with long-term technical and organizational health. Skills & Experience - Pluses:Experience in highly regulated industries (finance, healthcare, compliance). Familiarity with AI/ML-driven systems or regulatory technology solutions. Experience managing teams through periods of rapid growth and scale. What Success Looks Like30 Days:Build strong relationships with your team members and cross-functional partners. Gain deep understanding of Norm Ai's technical architecture, key challenges, and organizational goals. Clearly articulate team priorities and establish initial frameworks for team communication and operational effectiveness. 60 Days:Effectively drive execution of significant initiatives, demonstrating improved team productivity and clarity. Foster a strong culture of ownership, accountability, and collaboration within your team. Actively contribute to strategic discussions, highlighting opportunities and risks clearly and proactively.Competitive salary and equityThe base salary range for this full-time position is $235,000-$270,000 + generous early employee equity401(k) with the highest match legally allowedTop-tier health, dental, hospital, accident and vision insuranceRelocation reimbursement available if candidate decides to relocate to NYCFast-paced learning environmentWe embrace a flexible hybrid model, typically in-office 3–4 days per week.If you’re interested in the role but aren’t sure whether you’re a good fit, we’d still like to hear from you.