Responsibilities
- Analyze product usage data (PostHog, Amplitude, Heap, etc.) to identify friction points, adoption drivers, and opportunities for deeper engagementEvaluate the success of product launches, highlighting where adoption or sales fell short and proposing next steps.
- Run customer research initiatives (interviews, surveys, journey mapping) to validate assumptions and uncover adoption barriers.
- Develop and deliver customer training programs in partnership with Customer Success and Product, helping users understand and adopt key product features.
- Partner with Product, Engineering, and CS to translate behavioral data and customer feedback into adoption strategies and product improvements.
- Build scalable enablement frameworks (in-app guidance, lifecycle campaigns, knowledge base content, and video tutorials) that reduce reliance on 1:1 interventions.
- Create data-backed materials for Sales and CS, ensuring they can guide customers effectively through onboarding and expansion.
- Ensure customer insights inform both the product roadmap and go-to-market strategies.
Requirements
- Strong analytical background with proven experience using product analytics tools (PostHog, Amplitude, Heap, Mixpanel)
- Experience in B2B SaaS, ideally in roles focused on product adoption, growth, customer lifecycle, or training.
- Demonstrated ability to design and execute customer research initiatives.
- Proven skills in turning complex data into clear, actionable insights.
- Ability to scale education and adoption initiatives through automation and content.
- Cross-functional collaborator, comfortable working with Product, Engineering, Marketing, and CS teams.
Bonus Points
- Background in predictive maintenance, IoT, or industrial technologies.
- Experience designing or delivering customer training programs.
- Familiarity with experimentation frameworks and A/B testing.
- Experience in product-led growth (PLG) environments.
- Comfortable presenting insights and training sessions to diverse audiences.
Top Skills
What We Do
Tractian is a machine intelligence company that offers industrial monitoring systems. Tractian builds streamlined hardware-software solutions to give maintenance technicians and industrial decision-makers comprehensive oversight of their operations. It is democratizing access to sophisticated real-time monitoring and asset operations tools.
Tractian's solutions are used in environments that address a combined total of 5% of global industrial output. The company’s broad market reach is evidenced in its customer base from various industries, such as John Deere, Procter & Gamble, Caterpillar, Goodyear, Carrier, Johnson Controls, and Bimbo, the owner of the brands Little Bites and Thomas Bagels. Tractian's customers see a 6-12x ROI with savings of $6,000 per monitored machine annually on average.
In a major milestone and a first for the industry, Tractian launched the AI-Assisted Maintenance category in the industrial sector. In this new paradigm, artificial intelligence identifies machine problems and suggests preventive actions to be taken, giving invaluable insight and support to maintenance professionals. It is important to highlight that the intent of Assisted Maintenance is firmly rooted in augmenting maintenance professionals to provide more assertive diagnosis with human-in-the-loop feedback.
Tractian's mission is to elevate this category of workers in a highly impactful way. The Assisted Maintenance category will provide unimaginable support for maintenance professionals. By combining shop floor expertise with our technology, maintainers will be able to anticipate and address issues with unprecedented accuracy and speed
