Director of SaS Product Delivery

WHO WE ARE Delve Deeper is a performance media agency focused on the charity and nonprofit sector, partnering with organizations that invest $5M–$20M annually in media. We help mission-driven teams maximize impact through advanced digital strategies that drive measurable, scalable results. Our expertise includes advanced analytics, intent-based audience segmentation, full-service media management, and personalized creative—delivering a fully integrated, data-driven approach to growth. More than a vendor, we serve as a strategic partner, helping organizations solve complex media challenges and turn them into clear outcomes. With decades of leadership experience, Delve Deeper is a trusted voice in the charity space. We’ve also been named Built In Colorado’s “Best Places to Work” for five consecutive years, reflecting a culture that values performance, growth, and people. As a privately owned company, we move quickly, support our team holistically, and create meaningful opportunities for advancement. ROLE OVERVIEW We're hiring a Director of Product Delivery to be the person who makes sure our SaS product portfolio actually ships — on time, to spec, and repeatably — as we turn on new clients. We already have a set of MVP solutions built. The big product-market-fit thinking has largely been done. What we need now is someone who can take that portfolio and run it: gluing together Data Science, Engineering, and Front-end/Design into a single working team, driving a real operating rhythm, and owning the outcome when a client is scoped, onboarded, and live. This is not a big-vision, "what should we build" product role. It's a get-shit-done role. You live in the space between "we have a working prototype" and "this is running reliably for client #14," and you make that gap disappear, over and over, without every deployment becoming a bespoke fire drill. CORE RESPONSIBILITIES Cross-functional orchestration. You'll be the single point of accountability pulling Data Science, Engineering, or Front-end/Design into one coordinated workflow per solution, per client. When those functions aren't talking to each other, that's your problem to fix. Delivery rhythm and project management. You'll run the cadence — sprint planning, standups, planned-vs-delivered tracking, milestone and go-live dates — across every solution in flight, for every client coming online. You know at all times what's on track, what's at risk, and what needs escalation. Team leadership. The individual contributors across Data Science, Engineering, and Front-end/Design report to you. You're responsible for their workload, prioritization, unblockers, and performance — not for writing their code, but for making sure they're pointed at the right work and have what they need to finish it. Client onboarding and delivery execution. As new clients are scoped and turned on, you own the operational path from "contract signed" to "solution live and working in their environment" — configuration, setup, integration sequencing, and handoff to ongoing support. Prioritization within an existing roadmap. You're not setting product strategy, but you are constantly triaging: which client's integration blocks are urgent, which bug fixes take priority over which new feature requests, and how the team's finite capacity gets allocated across concurrent client engagements. Repeatable process. Every client shouldn't feel like a bespoke project. You'll build and refine the playbooks, intake templates, and delivery checklists that make onboarding client #10 meaningfully faster and less risky than client #1. Risk and quality ownership. These solutions run on real client data and inform real decisions. You're the one who catches slipping timelines, data quality issues, or integration risk before they become a client-facing problem — and you escalate early rather than after the fact. Reporting and visibility. You'll give leadership a clear, honest picture of delivery status across the portfolio — what shipped, what's late, what's blocked, and why — on a regular, predictable cadence. THE TEAM YOU WILL MANAGER You'll inherit and manage the existing cross-functional pod, structured roughly as: Engineering — full-stack developers building and maintaining the SaS solutions, comfortable with AI-assisted development. Data — data engineer(s) handling integrations, pipelines, and schema/data quality across client environments. Design/Front-end — the person or people responsible for the day-to-day UX/UI of each solution. You won't be building this team from zero — it largely exists — but you'll be responsible for how it operates day-to-day: workload, priorities, and holding people accountable to delivery dates. CANDIDATE PROFILE Proven delivery/project management experience, in a product or software context. You've run cross-functional teams (eng, data, design) toward shipped outcomes before, ideally inside a services or agency environment where "productized but still client-specific" is a familiar tension. Strong operational rhythm instincts. You default to visible tracking — sprints, planned-vs-delivered, clear ownership — and you're uncomfortable when a project's status is a guess rather than a known fact. Comfort managing technical ICs without being the most technical person in the room. You don't need to write the code or design the data model, but you need to understand enough to ask sharp questions, spot when something's off-track, and hold engineering and data teams to a standard. Client-facing competence. You can sit in a scoping or onboarding call, translate what a client needs into a concrete delivery plan, and manage their expectations on timeline and scope. Bias to execution over strategy. You're energized by taking a defined solution and a real deadline and making it happen — not by debating what the product should be. If you're itching to redesign the roadmap, this isn't the role. Adtech/martech familiarity is a plus, not a requirement. Some fluency with the ecosystem (CRMs, ad platforms, analytics tools, donor management systems) helps you understand what your team is integrating with, but you're not expected to be a subject-matter expert. AI-fluent working style. Our engineering and data teams build with AI coding tools as a default. You don't need to code yourself, but you should be comfortable with how AI-assisted development changes timelines, and able to sanity-check estimates and scope with that in mind. WHAT WE OFFER Hybrid working model: three days in the office (Tuesday to Thursday) A competitive salary with opportunities for growth Private medical care at Medicover Multisport card Annual education budget of $250 Generous employee referral program Catered office lunch every Tuesday Snacks and occasional breakfasts available in the office