Who We Are
Float is the leading resource management software for professional services teams. Since 2012, we’ve grown every year—independently, self-funded, and profitably. We’re rated #1 for resource management on G2 and trusted by 4,500+ customers worldwide.
Why We’re Hiring For This Role
This role is essential for transforming our rich scheduling data into actionable insights, helping teams make better decisions without adding complexity. As the competition in resource planning evolves, this role will be pivotal in ensuring Float stays ahead with AI-enhanced yet intuitive insights that set us apart from both legacy ERPs and new AI-driven entrants. We need someone who can drive this evolution while maintaining our commitment to simplicity, ensuring we continue to deliver a product that is both powerful and intuitive.
What You’ll Be Responsible For
Early on, you’ll start to:
- Define and validate initial success patterns by analyzing Float’s existing customer data to uncover trends that drive effective resource management.
- Design the initial rollout of pattern detection, ensuring it delivers measurable impact and meaningful insights for our customers.
- Collaborate with design to seamlessly integrate recommendations into core scheduling workflows, enhancing usability without adding complexity.
- Develop a framework for measuring pattern confidence and assessing the effectiveness of recommendations to ensure they drive real value.
- Work closely with platform teams to establish scalable foundations for pattern detection, enabling future innovation and expansion of intelligent optimization capabilities.
Once you are a bit more settled, we expect that you will jump into the following projects:
- Own the vision and strategy for Float intelligence , shaping how we deliver intelligent optimization to our customers.
- Lead the evolution from pattern detection to predictive optimization, enhancing how teams make smarter, data-driven resourcing decisions.
- Define and execute our intelligence roadmap, driving key initiatives across project risk prediction, resource allocation optimization, and strategic capacity planning.
- Collaborate with product teams to seamlessly integrate optimization insights into core workflows, ensuring they enhance decision-making without adding complexity.
- Advance platform capabilities through evidence-based iteration, continuously demonstrating clear customer value and driving the next phase of Float’s evolution.
What You’ll Need To Be Successful
We want you to love your work and believe that these skills will allow you to succeed in the role. Applying these skills requires:
- Experience building recommendation or optimization systems, with a strong ability to identify patterns, validate insights, and deliver meaningful customer impact.
- Strong analytical and quantitative skills, using data to guide decision-making and assess cost-effectiveness as systems scale.
- Understanding of data processing, performance considerations, and technical tradeoffs in optimization system design.
- Proficiency in modern API design and integration patterns, ensuring seamless connections between data sources and optimization logic.
- Familiarity with modern LLMs and their practical applications in B2B workflows—no AI/ML expertise required, but a pragmatic understanding of their potential.
- Proven track record of shipping features that users love, balancing immediate value with long-term platform evolution.
- Excellent communication, stakeholder management, and cross-functional collaboration with design, engineering, and go-to-market teams.
- Collaborate with Go-To-Market teams (Marketing, Sales, Customer Success) to ensure intelligent features are positioned effectively, driving customer activation and upsell opportunities.
- Ability to simplify complex systems into clear user value, ensuring solutions remain intuitive and impactful.
- Experience with B2B SaaS products, understanding enterprise customer needs and how to build solutions that drive adoption and success.
Why Join Us
Hiring Process For This Role
Manager Interview (45 min): You’ll meet with Michael Luchen, Director of Product, to discuss how you’ll add value to the product team and your goals for this role.
Co-Worker Interview (30 min): You’ll meet with Jill, Product Designer, and Omar, Senior Application Engineer, to dive deeper into your skills and experience.
Note: Industry research shows that women and those in traditionally underrepresented groups generally don’t apply to jobs unless they check all the boxes for the role. If you feel strongly that you have what it takes for this role but don’t check 100% of the boxes—that’s okay—we encourage you to apply anyway and highlight what you can bring to the table.
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