At Crowdbotics, we believe that the future of software development is expressed in natural language. Whether you’re working with new code or old code, our mission is to help you understand that code. Our platform uses AI to unlock business requirements and technical insights from legacy code. This approach enables IT teams to modernize and maintain their code while ensuring that core functionality and key business objectives remain intact, ultimately speeding up delivery, reducing cost, and maximizing the likelihood of successful modernization
As a Senior Product Manager at Crowdbotics, you'll lead the design and development of our enterprise AI platform that extracts structured intelligence from legacy codebases and translates it into product specifications. You'll be at the forefront of creating innovative solutions that leverage AI to reverse-engineer product requirements from existing code and deliver an exceptional product experience to enterprise customers.
Key Responsibilities- Work cross-functionally with engineering, design, and customer success to deliver high-quality product experiences on time
- Collaborate with customers and internal AI/ML teams to shape models and heuristics based on real-world workflows and legacy code structures
- Gather and prioritize product requirements based on customer feedback, market research, and business goals
- Create detailed product specifications and user stories that clearly communicate requirements to technical teams
- Drive the design of on-tenant deployment capabilities to meet enterprise-grade security, compliance, and scalability standards.
- Measure and analyze product performance to inform future decision-making
- Collaborate with marketing and sales to position and communicate product value to customers
- Interface directly with enterprise customers to understand their needs and challenges
- 5+ years of product management experience with enterprise software products
- Demonstrated success designing and building enterprise-grade products that meet complex business requirements
- Experience with AI/ML products, preferably in code generation, requirements engineering, or related areas
- Strong technical acumen and ability to interface effectively with high-performing engineering teams
- Exceptional communication skills with the ability to translate complex technical concepts to various stakeholders
- Proven operational excellence in a remote-first environment
- Experience working in a fast-paced startup with ability to adapt quickly to changing priorities
- Experience designing on-tenant software solutions that meet enterprise security and compliance needs.
- Familiarity with developer productivity tools (IDEs, static analysis, code search, version control systems).
- Understanding of cloud computing platforms, particularly Microsoft Azure.
- Experience supporting enterprise sales cycles, including co-selling, solution design, and customer onboarding.
- Background in software engineering or technical architecture.
- Work with cutting-edge AI technology that's creating real business impact
- Join a team that's partnering with industry leaders like Microsoft
- Experience the autonomy and impact that comes with a high-growth startup
- Competitive compensation package including equity
- Flexible, remote-first work environment
- Collaborative, supportive culture focused on innovation
- Unlimited PTO
- Health Insurance Benefits
- 401K matching
Apply now by sending your resume and a brief introduction explaining why you're interested in Crowdbotics and this role.
Crowdbotics is an equal opportunity employer committed to building a diverse and inclusive team.
For US based candidates only, Crowdbotics is an E-Verify Employer and this organization participates in E-Verify.
Top Skills
Similar Jobs
What you need to know about the Boston Tech Scene
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
