Posted at: 17 September
Head of Product
Company
Toggl
Toggl Track is a Tallinn-based SaaS provider specializing in time tracking solutions for productivity, catering to both B2B and B2C markets.
Remote Hiring Policy:
Toggl Track supports remote work with flexibility for team members to work from various locations, provided their main location falls between UTC+1 and UTC+5.
Job Type
Full-time
Allowed Applicant Locations
France, Europe, Africa, Asia
Job Description
The role
Your ability to balance strategic leadership with hands-on expertise, particularly in product-led growth and B2B SaaS, will be critical. You will align diverse product teams, ensure impactful product initiatives, and guide Toggl’s evolution into a cohesive suite of products.
As the Head of Product at Toggl, you will:
- Define and execute a product strategy driving Toggl’s short and long term revenue goals and company mission.
- Identify opportunities to expand into upmarket segments while retaining a strong foothold in SMBs.
- Optimise growth through data-driven decision-making, leveraging product analytics, A/B testing, and customer insights to identify opportunities and enhance user engagement.
- Champion lean research methodologies to ensure efficient, evidence-based decision-making without overburdening teams with unnecessary processes.
- Balance data-driven methods with an instinctive understanding of, and obsession for, beautiful customer experiences.
- Partner with Marketing, Sales, and Customer Success to optimise customer acquisition, retention, and expansion. Collaborate with the executive team to define go-to-market and revenue strategies.
- Lead by example: Be hands-on when necessary, offering direct guidance to identify and resolve product issues efficiently. Mentor a diverse group of product managers and designers, cultivating a culture of strategic partnership where both roles play a key role in user research and discovery.
- Improve execution speed while maintaining high standards, instilling a culture of delivering thoughtful, ambitious MVPs and creating scalable, repeatable processes for experimentation and implementation that reduce ambiguity and facilitate effective decision-making.