• Own product for the Occupational Health bet: translate the Founder/GM's commercial thesis and market insight into product requirements, sequencing, and a roadmap that gets us to paying customers fast, and keep reshaping it as we learn. • Redefine the workflow, don't digitize the paperwork: question every legacy step, the manual exam booking, the paper ASO, the compliance theater, and rebuild it around the member, the company, and AI. • Make AI the core mechanic, not a feature: work with engineering to embed AI into scheduling, triage, compliance reporting, and the back office, so a lean squad can do what an incumbent's much larger operation does today. • Build for regulated ground truth: work hand in hand with legal, compliance, and SST domain experts to make sure the product is correct on NR-01, eSocial, and psychosocial-risk requirements before it is fast or delightful. • Drive planning and measurement: set OKRs, goals, and success metrics for the bet jointly with the Founder/GM, and report progress in a way that is honest about what's working and what isn't. • Work close to the customer: get in front of HR and SST buyers, clinics, and brokers yourself, alongside the commercial team, so product decisions are grounded in what you've heard directly, not what's been relayed to you. • Lead design and engineering execution: run backlog, rituals, and delivery with your design and engineering craft leads, keeping a small team focused and shipping weekly, not planning for a quarter. • Bring judgment in ambiguity: make calls with incomplete information, defend the ones that matter, and change your mind fast when the evidence says to. • Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.

• Collaborate with Product Management to translate roadmap initiatives, customer requirements, and business objectives into clear epics, user stories, acceptance criteria, and supporting documentation. • Own and maintain the product backlog, ensuring priorities are aligned to customer value, business objectives, technical feasibility, and roadmap commitments. • Lead backlog refinement, sprint planning, and other agile ceremonies to ensure development teams have a clear understanding of priorities, scope, and expected outcomes. • Work closely with Engineering and QA teams to clarify requirements, answer questions, and remove ambiguity throughout the development lifecycle. • Collaborate with teams responsible for integrations, connectors, and core platform capabilities to understand dependencies, assess impact, and ensure successful delivery of cross-functional initiatives. • Define clear acceptance criteria and validate delivered functionality against agreed requirements and expected outcomes. • Collaborate with key teams to understand customer feedback, production issues, and implementation challenges, ensuring they are appropriately prioritized. • Balance roadmap initiatives, customer commitments, technical debt, and defects when making prioritization recommendations. • Proactively identify, communicate, and escalate delivery risks, scope changes, dependencies, and blockers before they impact delivery commitments. • Ensure backlog priorities, requirements, delivery progress, and key decisions remain visible and clearly understood by stakeholders. • Investigate complex product, technical, and customer challenges, working across teams to identify practical and scalable solutions. • Maintain clear documentation and traceability of requirements, decisions, and scope changes throughout the product development lifecycle. • Coordinate effectively across Product Management, Engineering, QA, Support, Services, and Customer Success teams to ensure successful delivery of roadmap commitments. • Challenge assumptions, identify gaps, and continuously seek opportunities to improve both product outcomes and delivery effectiveness.

Role Description We are seeking an experienced and strategic Product Manager, Intelligent Activation & Growth to join DEPT®'s growing Adobe practice in North America. In this senior-level role, you will own program-level product management across multiple agile workstreams, leading the strategy and delivery of customer journey orchestration, lifecycle marketing, and personalization initiatives built on Adobe Experience Platform (AEP), Adobe Journey Optimizer (AJO), and Real-Time Customer Data Platform (RT-CDP). - Accountable for cross-team coherence across a full program. - Ensure that roadmaps translate into measurable commercial outcomes. - Connect technical architecture decisions in AEP schema design and audience segmentation to business value. - Comfortable running executive steering committees and reviewing data models. The clients you will serve are large enterprises who have invested in the Adobe ecosystem but are not yet realizing its full potential. You will help them define what "good" looks like: - Architect audience segmentation strategies in RT-CDP. - Design end-to-end journey orchestration flows in AJO. - Establish KPI frameworks tied to activation outcomes. - Produce 12-to-24-month activation roadmaps. Qualifications - 6-10 years of product management experience in enterprise digital transformation. - Deep domain expertise in customer data, lifecycle marketing, and personalization. - Adobe Product Fluency. - Executive presence and stakeholder influence skills. - Consulting delivery experience with complex, multi-vendor client environments. Requirements - Define and maintain 12-to-24-month activation roadmaps for enterprise clients. - Run executive steering committees with Director and VP-level sponsors. - Coordinate across multiple agile teams working in parallel. - Build KPI frameworks and measurement plans that connect activation decisions to commercial outcomes. - Coach Product Owners on backlog prioritization, story refinement, and stakeholder communication. Benefits - Healthcare, Dental, and Vision coverage. - 401k plan, plus matching. - PTO. - Paid Company Holidays. - Parental Leave.

Role Description We are looking for a highly technical Senior Product Manager to drive the roadmap for our internal data platform and tooling. Reporting directly to the Principal Product Manager, you'll partner closely with Engineering, Data Science, and Leadership to build scalable infrastructure that powers critical business operations. This is not a customer-facing product role. You'll own internal platforms, data pipelines, and developer tooling that enable engineering and data teams to move faster and make better decisions. We're looking for someone with strong engineering roots who transitioned into Product Management and enjoys solving deeply technical problems. Location: Remote (United States). Candidates must be authorized to work in the U.S. Compensation: $180,000 – $230,000 base salary, competitive equity package, comprehensive benefits. Qualifications - 5+ years of experience as a Product Manager or equivalent cross-functional product leadership role. - Prior hands-on engineering experience is required (Software Engineer, Data Engineer, Machine Learning Engineer, Data Scientist, or highly technical Data Analyst). - Proven experience owning highly technical products focused on data platforms, internal tooling, or infrastructure. - Experience building products involving large-scale data pipelines, ingestion, transformation, normalization, and data modeling. - Strong understanding of modern cloud infrastructure and data ecosystems. - Hands-on familiarity with Python and AWS. - Experience working with one or more big data technologies such as: - Spark - Databricks - BigQuery - Snowflake - Amazon Redshift - Experience working with SQL and relational databases. - Ability to collaborate effectively with Engineering and Data Science teams. - Excellent written and verbal communication skills with strong executive presence. Preferred Qualifications - Experience at a Series B or Series C startup. - Startup product ownership with end-to-end responsibility. - Experience in FinTech, Payments, Fraud, Identity, Cybersecurity, AI Infrastructure, or other highly technical domains. - Experience managing products supporting machine learning, analytics infrastructure, or internal engineering platforms. - Founder or entrepreneurial experience is a strong plus. - Experience with Golang, PostgreSQL, OpenSearch, or related backend technologies.