• Lead the global digital shopping discovery experience across desktop web, mobile web, and native apps. • Own the strategy, roadmap execution, experimentation, and cross-functional delivery for core discovery surfaces. • Define and drive the global product vision, strategy, and roadmap for store discovery experiences. • Build differentiated discovery experiences that improve product findability, browsing engagement, conversion, and customer retention. • Develop customer-centric strategies tailored for both new and returning users across the full discovery journey. • Identify emerging trends in AI-powered search, personalization, recommendation engines, and competitive discovery experiences. • Own the global homepage experience as the primary brand and discovery entry point. • Drive strategy for content layout, personalization, promotional placement, featured categories, localization, and curated product surfaces. • Optimize for engagement, new user acquisition, and returning customer activation across all devices. • Own the end-to-end search frontend product experience and drive AI/ML powered search improvements. • Own PLP experiences across category pages, brand pages, promotion pages, and search results pages. • Drive improvements in site hierarchy, interlinking, and navigational discoverability. • Own discovery surfaces for promotions, deals, seasonal events, and campaign landing pages. • Lead and mentor a team of Product Managers and potentially Product Owners across store discovery domains. • Define and monitor KPIs to measure success across discovery surfaces.

Role Description We are seeking a full-time Data Product Manager to lead how Gridium acquires and protects its energy data. This is a deeply technical role with real autonomy and a wide platform to leave your mark on the industry. You will own the point in the system where the most interesting problems live: turning real-world utility and energy data into something our engineers can reliably and efficiently build on. At its heart, this role is about unlocking reliable energy data for our customers. You will become the person who knows the terrain of hundreds of utilities, each with its own quirks, and how to get at the data that is really available. This understanding produces several things, including: - Authoring implementation-ready integration specs. - Protecting the large surface area of integrations. - Being the company's source of truth on what each integration can and cannot support. Getting a single integration right means digging until you understand how to get the data reliably, what it means, and what customers actually need from it. You will work with a small, tightly knit group of very talented engineers, a Data Operations team, and modern AI tooling to move fast. Responsibilities - Investigate the non-obvious: dig into utility portals, renewable energy data, system configurations, tariff structures, and customer needs. - Master what each utility exposes: the data available and how we map this data into our product features. - Author implementation-ready integration specs, with enough detail for engineers to build cleanly, including the edge cases that matter. - Partner with engineering throughout the build, running standups, answering questions, maintaining Jira, so development is never blocked. - Close the loop: confirm that delivered data matches the spec before an integration is considered done. - Proactively protect the existing integration surface area: triage problems with live integrations, find out why they are failing or producing gaps, and prioritize the fixes with engineering. - Partner with Data Operations to identify recurring data quality patterns and drive systemic improvements, not just one-off fixes. - Maintain the backlog of integration enhancements and bug fixes for engineering. - Serve as the company's subject-matter expert on our integrations and the data they produce. - Build and maintain partnerships with utilities and 3rd party partners to work through integration blockers together. - Work with stakeholders such as sales and customer success to prioritize our roadmap of integrations. Qualifications - Intellectual curiosity and initiative. Proactive, not reactive. - Technical depth in all forms of data integration including ETL and the full range of data formats. - A track record of delivering on commitments. - Known for writing specifications that engineers can build from and docs that help guide operations. - Fluent with AI tools to accelerate data validation, workflow automation, and rapid prototyping. - Utility-industry or energy-data domain experience: billing, tariffs, metering, renewable energy, and utility portals. - Must currently reside in the United States and have the legal right to work in the United States. - At least three years experience in a product role for a SaaS platform that sources data from numerous 3rd party systems. Benefits - Salary and stock options. - 401(k) match. - Great health plan, vision, dental, life insurance, disability insurance. - Generous parental leave. - Flexible vacation policy. Company Description Gridium is a venture-backed SaaS application provider with a mission to bring cost-effective energy savings to commercial real estate. We have been delivering deep energy savings to our customers for fourteen years, and we are now growing faster than ever due to increasing demand for real energy solutions. We have been an all-remote company since our founding, and we love the flexibility it affords. Spending time face-to-face is important too, so several times each year we pick a city and meet up for several days of highly productive and highly fun planning and doing. We have a casual, cooperative work environment where everyone’s ideas matter. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

• You’ll join Spotted Zebra at a defining moment, with the opportunity to turn an ambitious product vision into the company that defines AI-native hiring. • As Senior Director of Product, you’ll work closely with the CEO to set the direction across Product and Design, shape the priorities of the wider Product, Design and Engineering organisation, and translate rapid advances in AI, deep customer insight and commercial opportunity into a focused strategy that wins. • You’ll influence the company’s biggest bets, help take our product into new global markets, and tell a compelling product story to enterprise customers, partners, investors and the board. • You’ll also build the organisation and operating model capable of delivering that ambition. You’ll lead and develop a growing, high-performing Product and Design organisation, building on the five crews already in place, each with dedicated Product Management and support from specialist Design SMEs. • You’ll embed AI-augmented ways of working that materially increase our speed and quality, and create a close partnership with Engineering so strategy, discovery and delivery move as one. • You’ll stay close to customers and hands-on with the work when it matters, while creating the clarity, culture and capability Spotted Zebra needs to scale without losing the pace, ownership or product craft that makes us special.

• Managing the entire product life cycle from conception to planning and driving a solution set across development teams (primarily Development/Engineering, QA, Sales and Marketing). • Prioritizing and clarifying product requirements to facilitate accurate estimation and rapid development of new features to meet requirements and achieve on-time delivery. • Working closely with Engineering, Marketing and Product leadership to develop a clear product roadmap that supports the company’s vision and customers’ and industry’s needs. • Planning, coordination and monitoring of feature enhancements for your products. • As the representative of internal and external customers, manage the product from inquiry through to acceptance, attaining high product quality to meet customer expectations.