The Product Manager- Enterprise Engineering at Statsig is responsible for identifying product gaps that hinder customer onboarding and usage. You'll manage the backlog of customer requests and collaborate closely with Sales and Account Management teams. Additionally, this role requires partnering with various internal teams to prioritize customer needs and drive solutions that enhance the Statsig experience.

To apply for the Product Manager- Enterprise Engineering role at Statsig, candidates should possess at least 4 years of experience managing technical products, preferably in the B2B SaaS space. Excellent communication skills, a meticulous attention to detail, and a strong ability to define success and a corresponding roadmap are essential for this position.

The Product Manager- Enterprise Engineering at Statsig plays a pivotal role in ensuring customer success by working closely with clients to understand their needs and challenges. By identifying product gaps and collaborating with internal teams, you will help deliver tailored solutions and high-quality product experiences that foster client satisfaction and loyalty.

For the Product Manager position at Statsig, strong interpersonal skills are crucial for interacting with customers and team members. Additionally, a track record in project management, attention to detail, and the ability to thrive in ambiguity are highly valued for driving successful outcomes.

The Product Manager- Enterprise Engineering position at Statsig is based in our Bellevue, WA office, requiring candidates to be on-site five days a week. This allows for greater collaboration with both colleagues and customers, enhancing the overall workflow.

An effective way to prioritize a backlog of requests is by assessing the impact versus effort of each request. Focus on high-impact features that align with customer needs and business goals, ensuring open communication with stakeholders to clarify priorities and set realistic timelines.

In a previous role, I managed an end-to-end project to integrate a new feature based on customer feedback. By establishing clear goals, collaborating with cross-functional teams, and maintaining open lines of communication, we were able to successfully launch the feature, significantly enhancing user satisfaction.

In times of ambiguity, I focus on breaking down the problem into manageable parts, conducting user research, and gathering data. This allows me to define success metrics and make informed decisions while keeping the team aligned on goals and expectations.

I prioritize establishing a direct line of communication with customers through regular check-ins, user interviews, and surveys. Using tools to track user behavior also helps identify trends and gather qualitative feedback, which is vital for informing product decisions.

To foster cross-functional collaboration, I emphasize the importance of regular updates and meetings with various teams. By using project management tools and shared documentation, I ensure that everyone is aligned on goals and progress, which mitigates siloed work and enhances teamwork.

Scope management involves clearly defining project objectives and deliverables upfront. I maintain ongoing communication with stakeholders to manage changes in scope effectively and ensure team members are aware of any alterations, preventing project creep.

Success for the Enterprise Engineering team can be defined through customer satisfaction metrics, onboarding efficiency, and the ability to scale integrations effectively. Regular feedback loops and performance reviews are essential for measuring and refining these success indicators.

I tailor my communication by considering the audience's knowledge level and needs. For technical stakeholders, I delve into the specifics, while for non-technical partners, I simplify explanations to focus on the business value, ensuring everyone is on the same page.

Essential tools include project management software like Jira for tracking tasks, user feedback platforms such as UserTesting for insights, and collaborative tools like Confluence for documentation. These resources streamline workflows and enhance team efficiency.

Measuring product launch success involves tracking key performance indicators such as user engagement, retention rates, and customer feedback scores. Conducting post-launch analyses and comparing against pre-defined metrics helps assess the effectiveness of the launch strategy.