Staff Product Manager

As a Staff Product Manager at Primer, you will be responsible for guiding products from ideation to launch for large enterprises. Your role will involve understanding customer needs, collaborating with cross-functional teams, and managing innovation within delivery deadlines. You will play a crucial role in setting strategy, prioritizing requirements, and delivering mission-ready AI solutions that help agencies protect us. Additionally, you will need to inspire teams, have a clear executive-aligned strategy, and possess excellent problem-solving and communication skills.

• Work with customers, the business, and engineering to set strategy and collect and prioritize requirements
• Work with data scientists, machine learning engineers, software engineers, and designers to build products that delight customers
• Work with the prototyping team to propose and build innovative ideas in SBIRs or RFPs
• Build trust with teams and customers to understand their workflows and deliver mission-ready practical AI solutions
• Think widely about potential applications of machine learning and natural language processing techniques and translate them into business value for customers
• Inspire engineer/design teams and have a clear executive-aligned strategy for product growth areas
• Understand customer needs and convert them into differentiated capabilities in the market
• Collaborate across multiple cross-functional teams with a common language of the customer
• Set strategic direction, prioritize, and articulate the rationale behind decisions
• Build and share a representative and empathetic understanding of customers
• Excellent writing and communication skills to collaborate with engineering, business teams, and executives
• Excellent problem-solving, analytical, and influencing skills
• Take initiative and build strong, productive relationships
• Transition between drafting product requirements and leading engineering and design teams
• Ability to travel to customer sites or the DC office for meetings

• Degree in Computer Science or similar discipline
• 5+ years of product management for a technology company (bonus for experience with enterprise software)
• Demonstrated success in delivering new products and features
• Ability to set strategic direction, prioritize, and articulate the rationale behind decisions
• Ability to build and share a representative and empathetic understanding of customers
• Excellent writing and communication skills to bring along engineering, business teams and executives
• Excellent problem-solving, analytical, and influencing skills, with proven ability to take initiative and build strong, productive relationships
• Ability to transition between drafting product requirements and leading engineering and design team to make product requirements a reality
• Ability to travel to the customer site or to the DC office for customer & team meetings
• Eligible for a TS clearance (bonus point)
• Familiarity with the DoD or IC acquisitions process (bonus point)
• Preferred experience working with Data Scientists (bonus point)

• Competitive compensation
• Comprehensive benefits including medical, dental, and vision coverage
• Fertility benefits through Carrot
• Mental health coverage on demand with Ginger
• 401(k) (US employees)
• Remote work stipends
• Monthly internet allowance
• Unlimited vacation policy
• Wellness Days
• 100% paid leave for parents of growing families
• Opportunity to work with a diverse and inclusive team
• Opportunity to make a positive impact on the world by making it safer
• Opportunity to work with trusted decision-ready AI
• Opportunity to work with the world's most critical organizations
• Opportunity to guide products from ideation to launch for large enterprises
• Opportunity to work closely with Engineering, Design, and the business
• Opportunity to work on innovative ideas in SBIRs or RFPs
• Opportunity to build trust with teams and customers
• Opportunity to deliver mission-ready practical AI solutions
• Opportunity to collaborate across multiple cross-functional teams
• Opportunity to travel to customer sites or the DC office for meetings
• Opportunity to work with Data Scientists or Machine Learning engineers
• Opportunity to work in San Francisco, CA or Washington, DC
• Opportunity to work in a series D funded company with reputable investors