Accountabilities:

Define product vision and strategy: Establish and communicate the long-term vision, strategy, and roadmap for Application Observability, identifying opportunities to increase product adoption, customer value, and revenue.
Drive product innovation: Develop and evolve application observability capabilities built around a knowledge graph, integrating high-fidelity telemetry signals such as distributed traces and continuous profiles into a unified product experience.
Build AI-powered workflows: Shape intelligent product experiences that help customers investigate application issues, understand root causes, and take meaningful action beyond traditional static dashboards.
Lead customer discovery: Engage with customers, developers, and SREs to understand their challenges, gather feedback, identify unmet needs, and translate insights into actionable product requirements.
Use data to guide decisions: Analyze product usage, customer feedback, and adoption metrics to identify friction points, evaluate opportunities, and prioritize improvements that drive measurable business outcomes.
Collaborate with engineering and design: Partner closely with technical and design teams to define requirements, evaluate trade-offs, establish priorities, and deliver intuitive, reliable, and high-performing product experiences.
Influence platform integration: Work across research and development teams to ensure Application Observability integrates seamlessly with broader observability capabilities and complementary products.
Drive go-to-market initiatives: Collaborate with product marketing and commercial teams to communicate product differentiation, positioning, and value propositions through presentations, documentation, website content, datasheets, and whitepapers.
Shape pricing and packaging: Contribute to go-to-market strategies, pricing models, packaging, licensing, and product tiering to support customer acquisition, expansion, and long-term growth.
Champion customer needs: Represent the voice of the customer internally, providing evidence-based recommendations to engineering and leadership teams and helping align stakeholders around product priorities.
Balance innovation and reliability: Ensure new product opportunities are balanced with the performance, scalability, depth, and reliability customers expect from tracing and profiling solutions.

Requirements

Bachelor's degree in Computer Science, a related technical discipline, or equivalent practical experience.
At least 5 years of experience in Product Management, with a proven ability to define product strategies, manage roadmaps, and deliver successful product initiatives.
At least 5 years of experience working with B2B SaaS products, preferably in technical or developer-focused environments.
Experience using, developing, or managing observability products, telemetry databases, or developer tools, either as a technical practitioner or through customer-facing product responsibilities.
Strong understanding of application architectures and distributed systems, with the ability to discuss technical trade-offs involving telemetry ingestion, storage, querying, and observability workflows.
Demonstrated experience collaborating with engineering and design teams to develop intuitive, high-quality products in fast-paced environments.
Strong customer discovery and research capabilities, with the ability to identify user pain points, translate feedback into product requirements, and make evidence-based prioritization decisions.
Excellent written and verbal communication skills, including the ability to influence stakeholders and communicate complex technical concepts clearly to different audiences.
Strong strategic and analytical thinking, with the ability to connect product decisions to customer outcomes, adoption, and commercial performance.
Familiarity with OpenTelemetry, application instrumentation, SDKs, and telemetry collectors is a plus.
Experience with distributed tracing or continuous profiling technologies, such as Grafana Tempo or Grafana Pyroscope, is an advantage.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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