Product Manager

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:

● 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.

● 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.

● 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.

● 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.

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.

● 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.

● 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.

● 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.

● 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.

● 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.

● 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