Technical Product Manager (US)

Key Skills

Aartificial intelligence, Azure, Cloud computing, DevOps, GitLab, JIRA, Leadership, Machine learning techniques, Product Management, Program Management

Job Description

As a technical product manager at Gauss Labs, you will be responsible for defining and delivering our AI products for the semiconductor industry. You will be working with passionate and talented engineers and scientists and have opportunities to learn about various AI technologies and how they are applied to the semiconductor industry. You will play a significant role in defining our overall strategy by defining the roadmap and product features, influencing the technical architecture, and driving the execution to deliver a quality product on schedule. You are the ideal candidate if you are passionate about new opportunities and have a demonstrated track record of success in delivering complex enterprise data analytics and AI products.

A commitment to teamwork and an ability to work cross-functionally with both business and technical partners as well as strong communication skills to communicate clearly both to the leadership team as well as to emerging talent in a fast-paced startup environment are indispensable skills.

You will be the COO of the product, the glue that binds the product and teams together, and the voice of all technical aspects of the product and the teams that build it.

Responsibilities

• Defining and driving our product vision and translating these into high-quality roadmaps based on team strategy and vision.
• Defining new and innovative product features, their functional and non-functional requirements, and acceptance criteria.
• Planning releases, creating monthly/quarterly delivery plans and then executing these by running sprints (in partnership with Tech leads) and ensuring delivery on time and to spec.
• Working closely with engineering teams, research, and program management in an agile environment to deliver products to market.
• Understanding and translating business-defined requirements into detailed and crisp technical requirements that R&D teams can execute on.
• Collaborating with program management and solutions engineering to understand customer requirements and pain points, and to drive customer success.
• Managing and converting requirements into well-organized sprint boards with clearly defined, prioritized, and scoped stories, features, and bugs.
• Having answers to technical as well as “why?” questions at your fingertips for all questions relating to the product and knowing which team members to bring to the table for deeper discussions or problem/conflict resolution.
• Ensuring our internal technical documentation is of high quality.
• Defining and improving our requirements gathering, software engineering processes, and how we translate research into products.
• Managing risk, prioritization, and all the trade-offs that a rapidly growing startup must make in order to execute under conditions of uncertainty.
• Proactively identifying and resolving issues that may impair the team's ability to meet tactical, strategic, and technical goals.

Basic Qualifications

• Minimum BS degree in Computer Science and/or other technical field and strong industry experience in software engineering.
• 5+ years experience as a technical product manager for enterprise analytics, machine learning, or AI-based products in a complex and/or highly technical domain.
• Ability to work in a fast-paced, rapidly evolving environment with fast delivery time and rapid iteration under conditions of uncertainty at the cutting edge of big data, computer vision, and AI/machine learning.
• Ability to work cross-functionally, interfacing and partnering with all levels of the Gauss Labs organization including research, engineering, solutions, program management, and leadership.
• Demonstrated experience in software engineering, data, cloud computing, distributed systems, analytics, and AI technologies, a product management skill set, and a roll-up-your-sleeves, entrepreneurial approach.
• Demonstrated ability to dive deep into technical details and ask engineers insightful questions about the services and dependencies you influence.
• Demonstrated ability to think long-term and balance short-term needs of a startup as well as conflicting interests.
• Experience with various project management and planning tools such as Jira, Azure DevOps, GitHub Issues, Trello, Gantt charts, burndown charts, etc.