Own product delivery across multiple client accounts, leading sprint operations, backlog management, release coordination, and cross-functional pod execution. Translate business and client requirements into engineering-ready specifications, collaborate on technical decisions, track delivery metrics, and maintain quality standards. Build AI-driven workflows and automation to improve operations. Manage client relationships, communicate proactively, negotiate scope and priorities, and identify expansion opportunities.
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 over complicating 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
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