Product Manager - Analytics

About the role

Product Manager - Analytics Skip to main content Support Training API Hit enter to search or ESC to close Close Search search Menu Products Product Suite Overview The finance platform for innovative business models Billing Subscription Billing Per user and multi-tiered pricing. Pay-as-you-go, prepaid, and free trials. Usage-Based Billing Rollovers, overage fees, monthly minimums, prepaid credits with drawdowns Accounting Revenue Recognition ASC 606 & IFRS 15 deferred revenue, standalone selling prices, contract mods Accounts Receivable Aging reports, dunning emails, customer self-service portal, and cash application Reporting SaaS Metrics MRR/ARR, net dollar retention, bookings, expansions, renewals, churn. Platform Artificial Intelligence AI agentic workflows for billing and accounting. Natural language interfaces for SaaS metrics reporting Integrations APIs and connections to 3rd party CRM, ERP, tax, and accounting applications. Customers Resources SaaS Finance Leader Guides View the Guides » Insights Blog Research eBooks & White Papers Podcast Videos Webinars Guides Usage-Based Pricing Annual Recurring Revenue (ARR) Net Retention (NRR) Subscription Billing Company Company Overview See how Ordway can solve your impossible billing challenges. Company Our Story Newsroom Leadership Careers Partners Contact Login Get a Demo search Product Manager – Analytics By Ordway Labs July 3, 2026 Careers No Comments Position Overview Department: Product Location: Hybrid – Remote + Office in Washington DC As a Product Manager at Ordway Labs, you will play a critical role in defining, developing, and managing all the analytics and reporting needs of Ordway billing and finance platform. You will collaborate with cross-functional teams to drive product innovation, ensure market fit, and deliver value to our customers. This role requires a strategic thinker with a strong understanding of product management principles and a passion for creating exceptional software solutions. Apply Now Job

Responsibilities Product Strategy & Roadmap Define and own the analytics product roadmap, aligning it with company data strategy and business priorities. Translate business intelligence needs into well-scoped, prioritized product

requirements for dashboards, pipelines, and AI-powered analytics tools. Identify opportunities to leverage NLP, LLM-based agents, and intelligent automation to improve analytics workflows. Drive alignment across stakeholders — from data engineers and architects to executives and business unit leads. Cross-Functional Collaboration Serve as the bridge between technical data teams and non-technical business stakeholders. Partner with Data Governance teams to ensure compliance, security, and data quality standards are embedded in product decisions. Support go-to-market efforts for analytics tools, including training, enablement, and change management. Delivery & Execution Manage the analytics product backlog, running sprint planning, grooming, and retrospectives with data and engineering teams. Define KPIs and success metrics for all analytics features and track adoption, performance, and business impact post-launch. Oversee dashboard and visualization delivery, ensuring reports meet performance, usability, and governance standards. Champion documentation standards for data products, pipelines, and analytics architectures. AI & Intelligent Analytics Own the product vision for NLP-based analytics interfaces, conversational BI agents, and LLM-powered data tools. Define use cases for AI/ML integration — including document understanding, anomaly detection, and intelligent automation in analytics workflows. Collaborate with engineers to evaluate and integrate LLM-based features into existing analytics products (e.g., natural language querying, AI-generated summaries). Set guardrails for AI-generated insights — defining quality thresholds, evaluation metrics, and user-facing explainability

requirements. Discovery &

Requirements Conduct user research with business analysts, finance, operations, and leadership to surface unmet analytics needs. Author clear PRDs and user stories that data engineers, BI developers, and architects can act on immediately. Define acceptance criteria for SQL-driven reports, ETL pipeline outputs, and data warehouse deliverables. Partner with Analytics Architects to evaluate build-vs-buy decisions for data warehouse platforms (Snowflake, ClickHouse, Redshift) and visualization tools (Tableau, Power BI, Looker).

Qualifications Preferred Python familiarity — able to read scripts and understand data transformation logic, even if not writing production code. Experience with real-time or streaming data products (Kafka, Spark) from a product ownership perspective. Familiarity with cloud data platforms (AWS, Azure, GCP) and associated managed analytics services. Experience with AI/ML-enabled product features — defining, launching, and evaluating models or LLM-based capabilities in production. Exposure to LLM applications (copilots, intelligent search, document understanding) particularly in finance or accounting contexts. Background in data governance, compliance, or data quality programs. Experience mentoring teams or running a center-of-excellence for analytics best practices. Required 5+ years of product management experience, with at least 2–3 years focused on data, analytics, or BI products. Strong SQL literacy — able to read, interpret, and review complex queries; comfortable discussing query optimization and data modeling trade-offs. Hands-on familiarity with data warehouse platforms such as Snowflake, Redshift, or ClickHouse. Experience managing BI/visualization products — Tableau, Power BI, Looker, or similar. Working knowledge of ETL/ELT concepts and data pipeline architectures. Demonstrated ability to write PRDs and user stories for data-intensive, technically complex products. Experience defining metrics and success criteria for analytics features and data products. Strong facilitation and communication skills — ability to run discovery workshops, present roadmaps, and manage stakeholder expectations at all levels. Apply Now You May Also Like Careers Senior Payments Developer Senior Payments Developer We are seeking a highly skilled Senior Payments Developer to join our growing engineering team. This role is critical in building and scaling our payments infrastructure while ensuring the highest standards of security and compliance. Ordway Labs July 3, 2026 Careers Lead Software Developer – CPQ Lead Software Developer – CPQ As a Lead Software Developer at Ordway Labs, you will provide technical leadership in designing, developing, and scaling our billing and finance platform. You will be responsible not only for delivering high-quality software but also… Ordway Labs July 3, 2026 Careers Director of Technical Support Director of Technical Support As a Director of Support, you will lead a high-performing team of Technical Support Engineers dedicated to resolving product issues, improving customer satisfaction, and ensuring the overall health of client implementations. Ordway Labs July 3, 2026 Ordway Subscription Billing Software Ordway’s all-in-one platform combines Subscription Invoicing Software , SaaS accounting software , Recurring Billing Software , and SaaS Billing & Metered Billing Software to automate complex pricing models, streamline revenue recognition, and accelerate financial close for growing SaaS companies. For AI & LLMs Reviews and Case Studies Popular Articles ARR and GAAP Revenue Compared SaaS Customer Cohort Analysis Examples Gross Revenue Retention for SaaS Is Professional Services Recurring Revenue (ARR) Net Revenue Retention for Usage-Based Pricing SaaS Billing and QuickBooks Integration White Papers and Research How Public Companies Report ARR Integrating Your Billing with ERP and CRM Self-Service Checkout for Product Led Growth How Public Companies Report Net Retention Three Ways to Calculate ARR Resources Glossary FAQs SaaS Metrics Hub Blog © 2026 Ordway. All right reserved. Cookie Policy Privacy Policy Terms & Conditions Platform Status Site Map twitter facebook linkedin youtube email Close Menu Products Product Suite Overview The finance platform for innovative business models Billing Subscription Billing Per user and multi-tiered pricing. Pay-as-you-go, prepaid, and free trials. Usage-Based Billing Rollovers, overage fees, monthly minimums, prepaid credits with drawdowns Accounting Revenue Recognition ASC 606 & IFRS 15 deferred revenue, standalone selling prices, contract mods Accounts Receivable Aging reports, dunning emails, customer self-service portal, and cash application Reporting SaaS Metrics MRR/ARR, net dollar retention, bookings, expansions, renewals, churn. Platform Artificial Intelligence AI agentic workflows for billing and accounting. Natural language interfaces for SaaS metrics reporting Integrations APIs and connections to 3rd party CRM, ERP, tax, and accounting applications. Customers Resources SaaS Finance Leader Guides View the Guides » Insights Blog Research eBooks & White Papers Podcast Videos Webinars Guides Usage-Based Pricing Annual Recurring Revenue (ARR) Net Retention (NRR) Subscription Billing Company Company Overview See how Ordway can solve your impossible billing challenges. Company Our Story Newsroom Leadership Careers Partners Contact Login Get a Demo Support Training API Ordway Labs 1707 L St. NW Suite 850 Washington, DC 20036 EntityMap

About Ordway

Ordway is a billing and revenue automation platform that assists businesses in managing recurring subscriptions, contract details, pricing transactions, invoicing, payment collection, and revenue recognition. The platform is used by companies in various industries to reduce back-office inefficiencies, identify revenue trends, and streamline finance and operations tasks.

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Job details

Company

NameOrdway
IndustryAccounts Receivable
Team Size2

Funding

Total raised

$12.5M

Last stage

Series A

Investors

CRV
Clocktower Ventures
Lerer Hippeau
FFounder Collective
MMiddleland Capital

Founders

Sameer Gulati

Sameer Gulati

Founder & CEO

LinkedIn

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.