Product Manager

## About the Role We are looking for a Product Manager who operates like an owner, not a coordinator. This role sits at the center of delivery, client management, engineering execution, and AI-native operations. You will work closely with founders, engineers, designers, QA, and clients to ensure products are delivered on time, within scope, and at a consistently high quality bar. You should be equally comfortable running sprint cadences, translating ambiguous business requirements into execution-ready tickets, and building AI-driven workflows that improve delivery efficiency. This is a hands-on execution role for someone who thrives in fast-moving environments and can independently drive outcomes across multiple accounts. You can read more about us here: https://www.tequity.tech/ ## Key Responsibilities ### 1. Delivery & Sprint Operations - Own sprint planning, backlog management, stand-ups, retrospectives, and release coordination. - Drive execution cadence across pods and ensure predictable delivery. - Maintain accurate status reporting, delivery tracking, risk logs, and stakeholder communication. - Control scope proactively and prevent delivery drift. - Surface blockers early and ensure timely resolution. ### 2. Business-to-Technical Translation - Convert founder ideas, business requirements, and client requests into clear engineering-ready specifications and tickets. - Ensure product intent is preserved without overcomplicating scope. - Collaborate closely with engineering and design teams to align execution with business priorities. ### 3. AI-Native Workflow Building - Build and deploy AI-driven workflows, prompts, agents, and analysis pipelines to improve delivery operations. - Identify repetitive operational tasks and automate them wherever possible. - Use AI tools hands-on to accelerate documentation, reporting, sprint analysis, and workflow management. ### 4. Technical & Engineering Collaboration - Read and understand codebases at a high level. - Participate meaningfully in architecture and technical discussions. - Identify inconsistencies, risks, or technical gaps during delivery conversations. - Work effectively with engineering teams without becoming a bottleneck or micromanager. ### 5. Engineering Metrics & Operational Excellence - Track and improve engineering delivery metrics including: - Deploy Frequency - Lead Time - Change Failure Rate - MTTR - Bug Escape Rate - Maintain strong delivery quality standards across accounts and pods. ### 6. Account Ownership & Client Management - Own client accounts end-to-end from onboarding to delivery continuity. - Run weekly client updates, monthly retrospectives, and stakeholder reviews. - Build strong founder/client relationships beyond formal meetings. - Anticipate issues before escalation and communicate proactively. - Identify upsell, renewal, and expansion opportunities for Tequity. - Deliver difficult updates transparently while maintaining trusts. ### 7. Cross-Functional Pod Coordination - Coordinate execution across engineering, design, and QA teams. - Lead without relying on direct reporting authority. - Support the pod actively instead of managing from a distance. - Ensure accountability, alignment, and smooth collaboration across functions. ### 8. Stakeholder Persuasion & Negotiation - Drive alignment on scope, timelines, quality standards, and technical debt allocation. - Negotiate priorities effectively while balancing delivery constraints and business goals. - Influence clients and internal teams using data, trust, and execution credibility. ## Required Skills & Experience - 4+ years of experience in Product Management, Delivery Management, or Technical Program Management roles. - Strong understanding of Agile and sprint-based delivery operations. - Experience working closely with engineering teams in fast-paced environments. - Familiarity with AI tools, LLM workflows, prompt engineering, or agent-based automation. - Strong written and verbal communication skills. - Ability to manage multiple client accounts simultaneously. - Experience with tools like Jira, Notion, Linear, ClickUp, or similar platforms. - Strong analytical and problem-solving mindset. - Understanding of software architecture and engineering workflows. ## What We Value at Tequity - **Integrity**: Surfaces problems early and Follow through on commitments. - **High Standards**: Produces work that reflects strong operational and communication quality. Maintains excellence across delivery artifacts and client interactions. - **Accountability**: Owns outcomes, not effort. Focused on shipped, accepted, and successful delivery. - **Customer Focus**: Treats client products like their own. Operates as an extension of both the client and internal engineering teams. - **Learning Mindset**: Adopts new tools, AI workflows, and operational practices quickly. Continuously improves systems, processes, and team effectiveness. ## Why Join Tequity? - Work directly with founders and high-growth startups. - Operate in an AI-native engineering environment. - Influence delivery systems, workflows, and product execution at a foundational level. - High ownership, fast execution, and meaningful impact across client accounts. ## Preferred Skills (Good to Have) - Experience in SaaS, HRTech, TalentTech, or product engineering environments. - Exposure to product analytics tools (Mixpanel, Amplitude, GA, etc.). - Basic understanding of UI/UX principles and prototyping tools (Figma, Miro). - Prior experience working with technical teams or in a startup environment.