As a Founding Product Manager, you'll lead product development from concept to launch, ensuring user satisfaction while collaborating with engineering and customer-facing teams.
About Letter AI
Letter AI is the world's first unified revenue acceleration platform powered natively by generative AI. Our platform empowers sales teams at customers like Lenovo and Redpanda to ramp up faster with AI-powered training and coaching, instantly find and personalize collateral for customers, and engage their buyers with the industry's first AI Sales Room. We recently raised a $40M Series B led by Battery Ventures, with participation from existing investors including Y Combinator, Lightbank, Northwestern Mutual Future Ventures, Stage 2 Capital, and Formus. The round comes just four months after announcing our Series A, indicating a shift we're seeing in real time: revenue teams aren’t asking for more content or tools. They’re asking for better outcomes, and Letter AI is bringing those outcomes to life! We 10Xed our revenue last year and are looking for the best of the best in Chicago to join us on the adventure 📈.
The Role
We are looking for a Founding Product Manager to join our team as one of our first key hires. You will play a pivotal role in shaping the company, our culture, and our product offerings. You will fully own the design and product development process, working closely with engineering teams to spec and deliver on requirements.
Your key responsibilities will include:
- Lead the development of product features from concept to launch, ensuring a delightful user experience
- Work closely with customers, engineering, and design teams to translate product and design specifications into functional requirements
- Conduct user research and usability testing to gather insights and iterate on features
- Utilize Figma extensively for designing, prototyping, and collaborating on product design
- Collaborate with other customer-facing teams members (e.g., GTM, Customer Success) to align product vision with business goals
Qualifications for the role include:
- 3+ years of experience in product design and development
- Proven experience working with engineering teams to deliver high-quality products
- Strong understanding of user-centered design principles and best practices
- Excellent communication and collaboration skills
- Ability to work in a fast-paced startup environment and adapt to changing priorities
- Preferred: Hands-on experience with Figma
As a part of the team at this early stage, you will not only receive a competitive salary and benefits, but also a meaningful equity stake in the company.
How We Operate
At Letter AI, we want you to be unapologetically you while operating with our core principles in mind:
- Customer-obsessed: Make your customers unreasonably happy and everything else will fall into place
- Ambitious yet practical: Set big goals, but stay grounded with disciplined execution and ruthless prioritization
- Direct yet kind: Never hold back from speaking your mind, but do so in a way that is kind to your colleagues
- Driven yet humble: Push for excellence and deliver fast, but keep your humility
Join us on this exciting journey to build the world's next generational sales tech company. We look forward to hearing from you!
Similar Jobs
Big Data • Cloud • Software • Database
Own the vision, strategy, and roadmap for MongoDB’s Partner Platform, including its Partner API, self-service onboarding, enterprise controls, billing, discovery, and partner-managed experiences. Translate partner and customer needs into scalable product capabilities, establish operating models and metrics, and collaborate across engineering, security, IAM, billing, design, marketing, and partnerships. Lead platform adoption for human and AI-agent developers while representing MongoDB externally and driving ecosystem growth.
Top Skills:
Ai Agent FrameworksApi GovernanceAPIsAuthentication And AuthorizationDistributed SystemsIamMcpMongoDBMongodb AtlasMulti-Tenant PlatformsOauth
Fintech • Machine Learning • Payments • Software • Financial Services
Owns product discovery, delivery, and iteration for enterprise risk management, compliance, and ethics solutions. Gathers business requirements and user insights, translates needs for engineering teams, prioritizes product roadmaps, and leads cross-functional collaboration across product, data, technology, design, and compliance. The role focuses on developing consumer-facing digital products, solving complex problems, mitigating product risks, and driving organizational alignment.
Fintech • Machine Learning • Payments • Software • Financial Services
Lead the Third Party Offers product area within Capital One’s Customer Resiliency team. Own product strategy, roadmaps, acceptance criteria, feature prioritization, and agile delivery for partner-facing debt-resolution experiences. Collaborate with engineering, design, data science, technology, and business stakeholders to develop customer-focused digital products, manage risk, and deliver platform enhancements through a fully staffed engineering squad.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
