Senior Product Manager, Forecasting & Planning Systems

Veho•New York, NY

2d•$145,000 - $160,000

About The Position

Our demand forecast drives decisions across network orchestration, transportation and linehaul planning, labor planning, capacity, and driver marketplace clearing. It is the foundation of how Veho's network operates. We are hiring a Senior Product Manager to own the product layer around forecasting and planning. This is not a pure Data Science role and it is not an analytics role. Your job is to turn messy business signals into trusted planning inputs, close the loop between forecast and actuals, and ensure forecast updates flow into the operational tools that depend on them. Today, many demand signals still move through human workflows and inconsistent handoffs. We are moving Veho from human-mediated planning to a structured planning system. You will partner with Data Science to improve forecast quality, with Operations and Finance to improve planning reliability, and with Engineering and Product to integrate forecast outputs into the systems that run the business. This role offers a deliberate two-stage trajectory. The first six months is about building the end-to-end product rails: structured inputs, automated reporting, downstream integrations, and a closed feedback loop. The next six months are about taking full business ownership of forecast quality across Veho's network. You own the metric that determines whether our planning system works. This is a high-ownership individual contributor role reporting to the Director level product leader.

Requirements

Five or more years of product management experience, including ownership of a data-heavy product used by cross-functional business or operations teams.
Experience with forecasting, planning, capacity management, marketplace balancing, supply chain systems, transportation planning, labor planning, inventory planning, or another operational decision system where input quality and downstream adoption mattered.
Strong data fluency. You can use SQL or equivalent tools to investigate problems, validate assumptions, and partner credibly with Data Science.
An eye for human-centered design. You understand that an input tool only works if the people submitting inputs actually use it, and that adoption is the only metric that matters.
Strong systems thinking. You can trace how a bad input turns into a bad forecast, a bad plan, and an operational miss, then design integrations that prevent that cascade.
Builder mindset. Personal examples of shipping prototypes solo when needed and partnering with Engineering at the right moment to scale.
Cross-functional leadership across technical, operations, finance, revenue, and customer-facing stakeholders.
High ownership. You set up the working group, run the cadence, close the loop with Data Science, and hold stakeholders accountable for their inputs without anyone asking you to.

Nice To Haves

Proven track record in last-mile logistics, ecommerce marketplaces, supply chain management, or network and labor planning.
Prior experience as a product partner to Data Science or Machine Learning teams.
Deep comfort with ML and statistics, allowing you to operate as a peer to modeling teams rather than just a requestor.
Versatility in navigating both high-growth startup and mature, scaled environments.

Responsibilities

Own the roadmap. Set the vision and priorities for Veho's forecasting and planning systems.
Build the input engine. Replace ad hoc planning workflows with validated, auditable, high-adoption tools used by Customer Success, Revenue Operations, Finance, Transportation, and Ground Operations. Capture off-cycle changes, client ramps, finance assumptions, market signals, and operational feedback in structured form.
Close the feedback loop. Partner with Data Science to categorize forecast error drivers, accelerate model improvement cycles, and productize forecast accuracy reporting across geography, client, time horizon, and operational segment.
Drive downstream execution. Push forecast updates and alerts into transportation planning, labor planning, capacity planning, and network orchestration systems. Define escalation workflows so teams can act before forecast error becomes operational failure.
Run the cadence. Own the cross-functional forecasting working group, including decisions, owners, follow-through, and accountability.
Ship fast. Use data, SQL, prototypes, and AI tools to move quickly and sharpen product requirements, then partner with Engineering and Data Science to productionize the right solutions.