
Jelani Hutchins-Belgrave
Former CS student turned Senior PM coaching APMs, students, & early PM
Studied at University of Pennsylvania
Admissions Committee at Salesforce
Available Monday at 11:30 PM UTC
Usually responds within 11 hours
Questions? Start chatting with this coach before you get started.
Jelani's Coaching Offerings
Custom hourly · $125/hr
Get help with Behavioral Interview Prep, General Exploration, and .
Jelani’s Product Management Qualifications
Experience level: Product Manager
10+ people coached for Product Management
Hey hey hey! Today I’m a highly decorated Senior Product Manager at Salesforce, but I didn’t take the traditional path to get here. I started out as a computer science student fully expecting to become an engineer, until I realized I was far more interested in why we were building things than just how. I pivoted into product management without ever doing a PM internship, learned the role through trial, feedback, and repetition, and eventually earned a spot in Salesforce’s highly competitive Associate Product Manager (APM) program. That opportunity completely changed the trajectory of my career. Since then, I’ve led multiple 0 to 1 launches across AI, privacy, and data platforms in both large-scale and startup environments, which has given me a deep, practical understanding of how PMs actually succeed on the job. I’ve worked in situations where there was a clear roadmap and lots of support, and in situations where there was none at all. That range is what allows me to coach effectively. I know what it feels like to walk into ambiguity, make high-stakes decisions with imperfect information, and still be accountable for outcomes. As a coach, I translate those experiences into clear, actionable guidance for my clients. I help PMs learn how to break down messy problems, prioritize under pressure, communicate confidently with engineers and leaders, and build conviction in their decisions. Whether you’re launching your first product, navigating a fast-moving startup, or trying to level up in a large organization, I focus on building real PM instincts, not just interview answers. My goal is to help you develop the judgment, confidence, and execution muscle that actually make you successful once you’re in the role.
Jelani can help with:
Behavioral Interview Prep
General Exploration
Skill Building
Execution
Promotion Strategy
Strategy & Vision
LinkedIn Review
Influence & Collaboration
Resume Review
Work Experience
Senior Product Manager
Salesforce
August 2023 - Present
Admissions Committee
Lead Product Manager for Salesforce’s Trusted Services Innovation Lab, driving AI-powered security, privacy, and data-resilience products across Archive, Privacy Center, and Trusted Services Lite. Partner across 3 product lines, 1 design lead, 2 marketing leads, 4 scrum teams, 100 platform AEs and SEs to deliver net-new offerings for 60K+ SMB and enterprise customers, driven by prioritization analysis and aligned to GTM and post-acquisition strategy. Machine Learning & AI: Built an AI-powered Compliance Agent that autonomously detects risks and enforces GDPR/CCPA policies, cutting manual audit work by 40% and accelerating remediation by 5× Product Vision & Strategy: Launched Salesforce Archive, a net-new product that gives enterprises control over long-term data retention and compliance. Scoped MVP, validated with 100+ enterprise customers, and took it from pilot to GA, unlocking $2M in ACV and enabling greater data governance at scale. Acquisition & Integration: Led the post-acquisition integration of Own Company, aligning SKUs, onboarding workflows, and GTM enablement across Salesforce’s platform for 10,000+ accounts, streamlining product adoption. Monetization & Go-to-Market Strategy: Spearheaded the design, GTM, and launch of Trusted Services Lite, a self-serve suite for 60K+ SMB customers unifying data privacy, driving adoption of trust products, cutting AE onboarding time by 30%, and unlocking a $100M+ TAM segment. Strategic Thinking & Leadership: Reimagined Privacy Center by integrating UMA and Data Cloud for real-time consent propagation across 100+ systems. Helped operationalize trust for the Einstein 1 Trust Layer, driving a 20% improvement in consent accuracy. Roadmap Planning & Prioritization: Led prioritization across 50+ ideas in the Innovation Lab using Real/Win/Worth analysis. People Management: Managed 3 APMs through end-to-end pilot delivery, user research, and PRD execution, culminating in the launch of the Preview, Search and Retention UI. Product Vision, Market Knowledge and +5 skills
Product Manager
Salesforce
August 2021 - July 2023
Admissions Committee
Selected as 1 of 10 from 3,000+ applicants for Salesforce’s 2-year Associate Product Manager rotation (Web3, Financial Services, Slack). Drove end-to-end launches across emerging tech in coordination with engineers, designers, and CS teams. Web3 & Emerging Tech: Built an enterprise Web3 CRM + NFT Management Platform with blockchain engineers using Node.js, GraphQL and Postgres; drove $500K ACV in 60 days and opened new revenue paths for regulated industries. Cross-Cloud Product Integration & Workflow Automation: Partnered with Slack platform and Fins Cloud engineering to design shared APIs and automated hand-offs, accelerating advisor workflows and generating $1M ARR. Data Platform & Information Architecture: Delivered record-level search and tagging via Apex triggers and SOQL optimization; enhanced data visibility for 10K+ advisors and cut lookup time by 40%. Developer Experience & SDK Enablement: Co-developed a mobile SDK for Salesforce-native Slack apps in Apex, extending Salesforce API access to enterprise developers and increasing engagement across mobile use cases. Field Enablement & Product GTM: Partnered with Solutions Engineers, CSMs, and PMMs to create training materials, internal webinars, and product demo decks used in regional GTM enablement sessions. Product Vision, Market Knowledge and +5 skills
Fellow
Contrary
September 2020 - August 2022

Technical Product Manager
Boost
February 2020 - August 2021
Interviewer
Early Technical PM leading the 0→1 development and growth of RabbitHole’s on-chain “learn-to-earn” platform, helping Web3 protocols acquire and retain users through tokenized engagement and skill-based quests. Product & Marketplace Design: Defined MVP scope and roadmap for the on-chain learning marketplace connecting users with 15+ Web3 protocols; partnered with protocol founders, engineers and designers to boost recurring on-chain activity 35%. Growth & Engagement: Integrated SendInBlue APIs and event-based triggers to automate re-engagement flows and in-app user notifications, lifting return sessions 25% and cutting churn 10%. Data & Platform: Collaborated with protocol teams to instrument on-chain analytics using Web3.js and The Graph, enabling quest-level performance tracking and optimized reward budgeting. Delivery & Tooling: Shipped five major feature releases in 12 months through two-week Agile sprints, coordinating design, community, and DevOps stakeholders. Stack: React / Node.js / PostgreSQL / Solidity / Web3.js. Software Product Management, Market Analysis and +4 skills
Software Engineering Intern
Lyft
June 2020 - August 2020
Mobile (Android / Kotlin): Built a maintenance-history tool for Ops teams to view rideable repair events, improving inspection quality 20%. Data Pipelines & Reliability: Refactored five internal plugins in RxJava to optimize filtering and diagnostic queries; reduced field-debug latency 35%. Agile Collaboration: Worked in daily standups with PM and Data Science teams to validate telemetry accuracy and deploy two incremental updates to production
Software Engineering Intern
Uber
May 2019 - August 2019
User Feedback & Telemetry: Built a post-trip feedback system for 125k+ rideables using Kotlin and RoomDB, raising feedback submission 75% and feeding fleet-quality analytics. API Optimization: Refactored experiment framework by batching 30+ network calls into single payloads, cutting API error rates for 60% of users and reducing packet loss ~25 %. Cross-Functional Collaboration: Partnered with PMs and data engineers to define event schema and A/B test thresholds for telemetry precision and UX feedback loops.
Software Engineering Intern
JPMorgan Chase & Co.
May 2018 - August 2018
Backend & APIs: Developed a RESTful Python/Flask service to aggregate 55k+ application logs for risk forecasting, integrated with firm-wide Kafka pipelines. Architecture & Scalability: Built a microservice-based messaging pipeline handling 24-hour high-throughput operations (> 1M messages/day). Process Automation: Created an intern-manager survey and matching tool (Python + SQL + internal APIs) during an internal hackathon eventually adopted and saving 600+ hours annually across program operation.
Jelani was also given offers to work at
MongoDB
Education

University of Pennsylvania
Bachelor's Degree
2017 - 2021
Activities and societies: Bell Senior Society, Penn Labs, Full Stack Web Developer Theta Tau, Representative WQHS, Technical Director

The Hotchkiss School
High School Diploma
2013 - 2017


