Staff Product Manager

Description

The company is a service for observability, serving developer tools with a focus on the near and present future. It works with well-known customers such as HelloFresh, Slack, LaunchDarkly and Vanguard across several industries.

The company closed Series D funding, has grown past 200 people, and was named to Forbes' America's Best Startups list in 2022 and 2023.

Blog posts and press releases on the company's the company's site site describe recent work.

The team is distributed and values a culture of trust, talent and humility among peers.

Responsibilities

• Set the AI product strategy that supports the company's vision.
• Combine AI trends, customer needs and technical capabilities into clear strategic recommendations.
• Help the product organization separate AI that delivers real customer value from AI that is mostly hype.
• Identify new observability problems that AI adoption creates, such as LLM drift, prompt regression and low-context generated code.
• Decide which AI technologies and approaches deserve investment.
• Research how customers adopt AI in their engineering workflows, and find patterns in customer conversations that point to future market needs.
• Track AI and ML developments such as RAG, fine-tuning and agentic systems, and explain what they mean for observability.
• Work with researchers, technical communities and early adopters to spot trends early.
• Partner with product teams to find high-value uses of AI, and advise on approaches, trade-offs and best practices without taking over every decision.
• Help teams see how their work fits the broader AI strategy and how to use shared capabilities.
• Share lessons across the portfolio, including what has and has not worked.
• State the company's point of view on AI observability to internal and external audiences.
• Help customers understand how their observability needs change as they adopt AI.
• Write, speak and engage with the community to build thought leadership.
• Earn credibility with technical audiences who care how the company uses AI.

Requirements

• Have at least 5 years of product management experience, including at least 1 year shipping AI or ML products.
• Have taken AI features from concept to customer impact, including features that failed.
• Understand how engineering teams build, deploy and operate AI systems in practice.
• Know current AI and ML techniques and when they fit or are overhyped.
• Turn research, customer feedback and technical trends into a coherent strategy.
• Make decisions with incomplete information.
• Spot needs that customers have not yet stated clearly.
• Say no or not yet when exciting technology does not fit.
• Have enough technical depth to earn the respect of engineers and architects, and stay humble about what you do not know.
• Weigh trade-offs between AI approaches, such as RAG versus fine-tuning and model selection.
• Understand observability principles and why they matter in production.
• Communicate complex ideas clearly in writing and speech to varied audiences.
• Influence product, engineering and go-to-market teams without formal authority.
• Present confidently to customers, executives and technical audiences.
• Share credit and lift others' work rather than hold control.
• Keep up with fast-moving fields, where AI changes weekly.
• Prefer learning to being right.
• Enjoy where AI technology meets real customer problems.
• Stay energised by rapid change in AI.

Conditions

Base salary depends on experience: $198,500 to $233,500 USD.

The company is fully distributed. Where you sit matters less than how you deliver, and you are given trust, autonomy and accountability from day one.

You will be the product manager for the Canvas and Agentic AI teams, which build the company's AI-powered investigation experience.

Canvas lets engineers query, visualise and understand production systems in natural language. The team is also building Skills, Auto-Investigations that start before a human is paged, and a more interactive, collaborative Canvas.

You will work in a close triad with engineering and design leads to own the roadmap for AI across the product, from the UI to the MCP server.

You will work with the Director of AI Strategy, R&D and customer-facing teams to stay close to customer needs while building something meaningfully new.

The role requires shipping production features while working in a space where the right answers are still forming.

The company cannot currently sponsor or support visa transfers. All hires must verify identity and eligibility to work.

Be aware of recruitment scams. Company communications come only from an company's site address. Recruiters use business addresses, never personal email. The company will never ask for financial or sensitive personal information.

Benefits

• Equity through the company's employee-friendly stock program.
• Pay set by transparent levels tied to experience, not by negotiation.
• Unlimited PTO.
• Home office, co-working and internet stipend.
• Full benefits for employees, with extra coverage available for dependents.
• Up to 16 weeks of paid parental leave, whatever path to parenthood.
• Annual development allowance.
• Further perks are listed by the company.