Technical Product Manager

Govini - Arlington, VA

Full-time - Mid Level

Arlington, VA

About the position

Govini is seeking a technically-minded product leader to join our team as a Technical Product Manager. In this role, you will partner with traditional product managers to support and lead our teams of Forward Deployed Software Engineers. You will be the technical owner of true 0-to-1 initiatives, accountable for building new and differentiated capabilities into our Ark platform. This position is crucial as it involves moving quickly yet responsibly against urgent opportunities to develop products that meet the needs of our users while ensuring alignment with the Engineering organization and maintaining platform stability. As a product manager at Govini, you will work directly with customers, our implementation team, and our sales team, acting as the “tip of the spear” for understanding customer needs. Your responsibilities will include designing, specifying, prototyping, and launching new workflows and capabilities into full production within the Ark platform. You will need to possess exceptional judgment to balance competing priorities and make trade-offs effectively. Communication skills are vital, as you will be required to convey technical information to internal stakeholders and engineers, often in ambiguous circumstances. In a typical week, you can expect to collaborate with forward-deployed software engineers to scope, architect, and deliver product initiatives and prototypes. You will spend time onsite with users to understand their pain points and relate those to opportunities for new workflows. Additionally, you will partner with Product Managers to assess engineering costs and business value of proposed investments, and work with the sales team to align customer requirements with product capabilities. This role is full-time and located in Arlington, VA, with travel expectations of up to 75%.

Responsibilities

• Collaborate with forward-deployed software engineers to scope, architect, and deliver 0-to-1 product initiatives and prototypes.
• Spend time onsite with users to understand pain points and relate those to opportunities for new workflows in the Ark.
• Partner with Product Managers to assess the engineering cost and potential business value of proposed product investments.
• Work with the sales team to assess opportunities and understand customer requirements in relation to product capabilities and roadmap.
• Communicate with technical customer decision-makers about the capabilities of the Ark and how it can be configured to meet their needs.
• Identify and evaluate new product features and functionality for Ark through embedding with customers.
• Assess engineering costs for new product features, develop a technical approach and architecture, and lead software engineers to delivery.
• Assist with scoping, pricing, and capturing contracts, communicating details to all levels of the organization.
• Partner with internal engineering and data science teams to scope expected investment costs and timelines, ensuring delivery on scope and timelines.
• Facilitate the market introduction of new features/functions while balancing tradeoffs of risk, cost, and speed.
• Ensure smooth integration of prototyped features/functions into Ark for utilization across customer accounts.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent work experience.
• 5+ years of full-stack software development experience.
• Experience working closely with customers.
• Strong proficiency with backend API languages such as Java/Spring Boot (preferred) or equivalent and Javascript/ReactJS.
• Intermediate proficiency with SQL.
• Strong value orientation, understanding of what matters for our customers, and why.
• Self-starter, owner mentality.
• Ability to thrive in a fast-paced, dynamic work environment.

Nice-to-haves

• Current possession of a U.S. security clearance, or the ability to obtain one with sponsorship.
• Experience in or exposure to the nuances of a startup or other entrepreneurial environment.
• Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms.
• Experience using machine learning algorithms (e.g., gradient-boosted machines, neural networks, LLMs, etc).
• Experience working within the boundaries of a Federally accredited software environment.