Product Lead (Head of Product)

Emberos•Los Angeles, CA

About The Position

Emberos exists to bring predictive intelligence and clarity to a world where AI is already shaping decisions. We help brands understand how AI interprets and represents them at the moment of discovery and how that understanding compounds over time. By revealing emerging patterns before assumptions harden into belief, we give leaders foresight into what is taking shape and the ability to act early. This is not just monitoring. It’s predictive intelligence designed for an AI-mediated world. As AI increasingly defines what people see, trust, and choose, Emberos serves as a grounding force for truth by bringing clarity to how meaning forms today and how it evolves tomorrow. We’re a small, fast-moving team building something foundational, and we’re looking for people who want to shape what comes next. We're looking for a Head of Product to own Emberos’ product function, end-to-end, from day one. This is the first product leadership hire at the company, which means you'll set the strategy, build the process, and do the work. You won't be inheriting a team or a playbook. You'll create both. You'll own the full platform: our five-agent architecture (Scout, Pilot, Flow, Merchant, and Echo), the Tiered AI Visibility Index (TAVI) the Brand Knowledge Graph, Fix Packs, and the roadmap across all product lines. You'll define what gets built and why, work directly with Engineering, Growth, and Customer Success to ship it, and partner with executive leadership to align the product to our business and category ambitions. You’ll act as a true partner to the engineering team, co-designing system architecture, evaluating build trade-offs, and defining the API and technical and data specifications that enable fast, clean execution. You don't need to write production code, but you need to be someone adept at technical conversations: you understand how the Brand Knowledge Graph is structured, why the Fix Pack scoring model works the way it does, and what it means to change an inference pipeline. You'll run sprint reviews, unblock engineering decisions, and be the person who translates a vague customer need into a precise system requirement. The right person is a senior product leader who still loves being close to the product. Someone who's comfortable in a design partner meeting in the morning, a sprint review at noon, and a roadmap prioritization conversation with the CEO in the afternoon. You want real ownership, not a title.

Requirements

7+ years of product management experience, with meaningful time as a product lead or head of product at an early-stage B2B SaaS company
Proven ability to own a product function independently: setting direction, building process, and shipping across multiple tracks simultaneously
Hands-on experience working on data or platform products: have owned API design, defined data contracts, strong pov on what good instrumentation and observability looks like; can write a system spec an engineer can act on
Deep experience with data-intensive or intelligence products: scoring systems, measurement frameworks, structured workflows, or data pipelines
Strong analytical instincts: you understand data models, can construct and critique a KPI framework, and know the difference between a metric that proves something and one that just looks good
Experience working directly with design partners or early enterprise customers: translating ambiguous needs into clear product requirements under time pressure
Track record of influencing without authority across engineering, GTM, and executive leadership
Excellent written communication: you write strategies that executives trust, specs that engineers can act on, and narratives that customers understand

Nice To Haves

Experience in SEO/GEO, content intelligence, brand analytics, or advertising and marketing technology: you understand the world Emberos is replacing
Familiarity with knowledge graphs, structured data, schema markup, or semantic web concepts
Prior work building workflow or case management products (approval flows, state machines, audit trails)
Exposure to LLM evaluation, prompt engineering, or AI observability tooling
Experience working with media, entertainment, agency, or financial services clients

Responsibilities

Own the Product Strategy
Define and maintain the overall product vision and roadmap across our five-agent architecture and all of the features that make Emberos unique such as proprietary metrics and graph based technology
Set the strategic sequencing: what we build now, what we defer, and why: balancing customer commitments, engineering capacity, and category positioning
Be the internal voice of the customer, synthesizing signal from design partners, active clients, and the market into clear product direction
Partner with executive leadership on positioning, packaging, and how the product evolves as the business scales
Build the Product Function
Establish the processes, documentation, and rhythms that let a small team move fast without losing coherence, including specs, prioritization frameworks, release communication, feedback loops
As the team grows, help define what a PM function looks like at Emberos and what kind of people should join it
Go-to-Market & Launch
Own product launch sequencing and coordinate release communication across Growth, Customer Success, and Marketing
Define packaging and tiering strategy (what's core vs. add-on, how features are bundled for different client segments)
Partner with GTM on positioning new features for prospects and existing clients
Client & Design Partner Engagement
Run structured feedback loops with design partners and early adopters to validate roadmap bets before full builds
Sit in on key client calls to pressure-test product assumptions directly
Translate client escalations (Fix Packs, Compliance flags, etc.) into prioritized product decisions
Category & Competitive Intelligence
Consistently track the AEO/AI visibility landscape
Help define what "AI OS for brands" means in the market and ensure the product tells that story coherently
Metrics & Outcomes
Define what product success looks like (i.e., adoption rates, feature engagement, time-to-value for new clients)
Own the product health dashboard and bring that signal to leadership regularly