Senior Product Manager, Delivery

Candidly

4h•Remote

About The Position

We're looking for a Senior Product Manager to lead our Delivery pod, the team responsible for getting the Candidly platform into the hands of employers and their employees as quickly and cost-efficiently as possible. This team owns the core infrastructure that powers employer onboarding, census management, HRIS integrations, SSO configurations, and partner-specific platform delivery. You'll define how we scale our delivery engine from high-touch enterprise implementations to streamlined, self-service SMB launches — all while maintaining the reliability and compliance our financial institution partners require. This is a B2B2C role. Our partners are large financial institutions and retirement recordkeepers (think Vanguard, Bank of America, Lincoln Financial, Empower). They distribute Candidly to their employer clients, who in turn serve their employees. You need to understand that full chain and build systems that work at every layer. This role requires someone who is AI-enabled — you actively use AI tools (Claude Code, ChatGPT, Cursor, etc.) to accelerate your work, from writing specs to analyzing data to prototyping solutions. We expect you to bring a force-multiplier mindset: leveraging AI to move faster, think deeper, and ship better products.

Requirements

3-5 years as a Product Manager in B2B or B2B2C SaaS, ideally at a platform that serves enterprise financial institutions
Demonstrated experience building and scaling operational systems, delivery pipelines, or implementation infrastructure
Track record of reducing manual processes through automation, tooling, and workflow design
Experience managing complex, multi-stakeholder delivery timelines with external partner dependencies
Background in FinTech, benefits administration, HR tech, or financial services preferred
AI-enabled: You actively use AI tools to multiply your and your team’s productivity. You're curious about what's possible and quick to adopt new capabilities.
Process-oriented: You see messy workflows and can't help but systematize them. You think in terms of throughput, cycle time, and scalability.
Strong analytical skills — comfortable with SQL, dashboards, and operational metrics
Excellent written and verbal communication; can write a crisp spec or present delivery status to a partner executive
Pragmatic decision-maker who balances partner needs, technical feasibility, and business priorities
Ownership mentality — you drive outcomes, not just outputs
Collaborative and low-ego; you build trust across functions

Nice To Haves

Experience with census/employee data management, HRIS integrations (Workday, ADP, BambooHR), or SFTP/API-based data pipelines
Familiarity with employer benefits platforms, student loans, or SECURE 2.0 retirement matching
Experience with self-service onboarding or product-led implementation motions
Hands-on experience applying AI to operational workflows (not just consumer-facing features)
Experience working directly with enterprise financial institution partners or in regulated environments

Responsibilities

Own the vision, strategy, and roadmap for how Candidly delivers its platform to employers at scale — from enterprise partners like Bank of America to SMB customers launching through self-service flows
Define and improve the systems that power employer onboarding: census file processing, SFTP/API configurations, HRIS integrations, SSO deployment, and program design templates
Partner with engineering to build scalable, repeatable delivery infrastructure that reduces implementation time and manual effort
Write clear briefs, specs, and user stories that align teams and reduce ambiguity
Design and optimize delivery workflows end-to-end — from signed contract to live employer, identifying bottlenecks and eliminating manual handoffs
Build and maintain delivery playbooks that enable Customer Success to activate new employers with minimal engineering involvement
Establish SLAs, tracking, and reporting for delivery timelines across partner channels (enterprise, mid-market, SMB)
Drive continuous improvement in delivery velocity: measure cycle times, identify failure points, and implement systemic fixes
Identify and ship AI-driven capabilities that accelerate delivery — census verification, automated configuration, onboarding assistants
Use AI tools daily to accelerate your own workflows and collaborate with engineering to build AI into the delivery pipeline
Define and track delivery KPIs: time-to-launch, on-time delivery rate, employer satisfaction, cost per implementation
Run experiments to improve onboarding conversion, activation rates, and employer NPS
Coordinate across Customer Success, Partner Success, Sales, and Compliance to manage concurrent partner launches and meet financial institution security standards
Prioritize and manage the backlog; lead sprint ceremonies, release coordination, and product quality standards