This role owns the full product delivery lifecycle. You will define requirements, drive sprint execution, manage releases, and enforce operational discipline across the team. You will report directly to the CEO and act as the backbone of execution, ensuring engineering, AI, and client teams stay aligned, unblocked, and moving forward.

You will run agile processes end to end. This includes owning Jira structure, leading daily scrums, driving sprint planning, and maintaining clear documentation in Confluence. You are the person who ensures nothing slips, timelines hold, and quality stays high.

Beyond execution, you will play a critical role in shaping the product itself. This is an AI-native platform, and a core part of your mandate is improving the quality, depth, and reliability of what we deliver to users. That includes:

* Improving response accuracy and consistency across the platform

* Elevating the quality of analysis, including causation, forecasts, and recommendations

* Structuring and refining how insights, reports, and outputs are generated and presented

* Driving continuous iteration on how users interact with and extract value from AI-driven answers

* Translating real user needs into product improvements that measurably increase trust and adoption

This is where product meets real AI impact. You are not just shipping features. You are improving how intelligence is delivered.

You will also work closely with strategic partners, including Google Cloud, to support go-to-market efforts and technical collaboration. This is an advantage, not the focus.

This is not a passive strategy role. It is execution, ownership, and accountability. You will be expected to bring structure to complexity, maintain momentum across multiple workstreams, and deliver consistently at a high level.

If you know how software delivery breaks and how to keep it on track. If you can operate at both the system level and the detail level. If you care about shipping real product and making it better every cycle in a measured way. You will do well here.

Watch Google's Video of our partnership : https://youtu.be/cu1YR2dRuUg?si=VRl9_B3p07BtSvpQ

ABOUT SQOR

Most companies are drowning in data and still cannot answer basic questions about their business.

They have spent millions assembling modern data stacks. Warehouses, pipelines, BI tools, dashboards. Entire teams exist just to maintain them. Yet when a leader needs to understand what is happening with a KPI, the process is still slow, manual, and fragmented. Requests, tickets, delays, and incomplete answers.

SQOR was built to end that.

We have created a no-code Decision Intelligence platform that connects directly to the SaaS tools companies already use and turns their data into instant, actionable answers. No dashboards to build. No pipelines to maintain. No analysts required.

Ask a question in plain language and SQOR delivers not just the metric, but the full picture.

**Why it happened (causation). What is likely to happen next (prediction). What to do about it (recommendations).**

Out of the box, SQOR analyzes 800+ KPIs across every function of a company using a network of 60+ autonomous AI agents. These agents continuously evaluate performance, detect anomalies, assess data quality, and generate insights in real time without additional infrastructure or human intervention.

For CIOs, this means eliminating the need to deploy expensive data engineering and AI resources just to make data usable.

For operators and executives, it means direct access to the truth of their business without waiting on anyone.

This is what real AI ROI looks like.

Faster decisions. Lower costs. Complete visibility into execution across the organization.

We are not another layer in the stack.

We make the stack finally work.

SQOR is a high ownership, no passengers environment. Small team. Massive ambition. If you want to build at the frontier of AI, data, and enterprise decision making and actually see your work change how companies operate, this is where you do it.

COMPENSATION:

Every member of our 18-person team is here because they believe in what we're building. We are all-in, working for equity only for now, with full ownership and commitment. We are offering approximately 1 to 2 percent equity, dependent on experience and contribution. This is real ownership, not token shares. We expect to introduce salary compensation in late Q2 2026 or early Q3 as we hit key revenue milestones and secure capital.

If you've been waiting for a shot to help lead something transformative in AI, this is it.

WHAT YOU WILL OWN:

Product Execution and Technical Delivery

• Own end-to-end delivery of tradition and AI product features, infrastructure upgrades, client implementations, and marketplace integrations
• Define scope, write detailed requirements documents (PRDs), and translate them into actionable epics and user stories
• Manage Jira backlogs, sprint planning, and velocity tracking across multiple engineering squads
• Facilitate daily scrum meetings, retrospectives, and release planning ceremonies
• Maintain comprehensive documentation in Confluence including technical specifications, process documentation, and delivery runbooks
• Ensure requirements include testable acceptance criteria and coordinate with QA on validation
• Track and report on delivery metrics, sprint health, and blockers with clear escalation paths

Program Management and Client Delivery

• Serve as single point of accountability for on-time delivery of client implementations and enterprise integrations
• Partner with sales and customer success to manage client onboarding timelines and delivery commitments
• Provide regular status updates to internal and external stakeholders with clear visibility into progress, risks, and blockers
• Own delivery of SaaS data connectors and enterprise integrations, coordinating across engineering and integration teams
• Run project kickoffs, manage dependencies, and conduct post-mortems to drive continuous improvement

Cross-Functional Coordination and Team Enablement

• Act as the operational hub connecting engineering, product, AI, and customer teams
• Lead triage sessions to prioritize bugs, scope features, and resolve blockers
• Surface dependencies early and drive resolution across teams
• Translate technical requirements from AI and backend teams into clear engineering specifications
• Work with CEO and Chief Technology Officer (CTO) to establish and track Key Performance Indicators (KPIs) for delivery health

Marketplace and Strategic Partnerships

• Manage delivery and maintenance of SQOR's listings across AWS Marketplace, GCP, Snowflake, and Salesforce AppExchange
• Serve as primary liaison with Google Cloud ISV Springboard team, coordinating on technical integration, co-marketing opportunities, and joint go-to-market initiatives
• Leverage SQOR's position as a top Google Cloud partner to drive marketplace visibility and adoption
• Coordinate packaging, compliance requirements, documentation, and listing approvals
• Improve developer onboarding experience including Application Programming Interfaces (APIs), Software Development Kits (SDKs), and technical documentation

WHAT YOU BRING:

• 10+ years experience in product management or technical program management in high-growth SaaS companies
• Proven track record managing complex software delivery with multiple concurrent workstreams
• Deep hands-on experience with agile methodologies: sprint planning, backlog grooming, story writing, and velocity management
• Expert-level proficiency with Jira and Confluence in a fast-paced startup environment
• Strong technical aptitude to understand software architecture, data pipelines, and modern development practices
• Experience with instrumentation, telemetry, and analytics tooling in production environments
• Background delivering enterprise client implementations with clear success metrics
• Familiarity with Business Intelligence (BI), analytics, and data tools including Extract, Transform, Load (ETL) processes and KPI frameworks
• Client delivery experience with demonstrated ability to manage customer expectations and delivery timelines
• Product-Led Growth (PLG) experience is a plus but not required
• Proven ability to thrive in high-velocity, low-structure, high-ownership startup environments

WHAT WE OFFER:

• High-Impact Environment: Own delivery of a category-defining platform in the AI for BI space
• Cutting-Edge Technology: Work alongside a world-class AI and engineering team
• Ownership and Equity: Earn significant equity in a mission-driven startup solving real enterprise problems
• Work-Life Autonomy: Flexible, remote-first environment with a team that values velocity and trust
• Strategic Partnerships: Direct relationship with Google Cloud as a top ISV Springboard partner

JOIN US:

At SQOR, you'll ensure we ship a smarter, simpler, more autonomous way for businesses to understand and act on their data. If you know how to deliver results under pressure and keep complex software development on track, we want to hear from you.