UP.Labs

Own product vision, define roadmap, influence platform architecture, and measure customer impact for a data-centric SaaS product. | Proven experience leading complex SaaS initiatives, strong data systems knowledge, and ability to operate in ambiguity with structured problem solving. | The commercial vehicle and trailer parts aftermarket is large, growing, and structurally fragmented. Dealers make high velocity decisions across siloed systems, inconsistent part taxonomies, substitution chains, OEM constraints, and margin tradeoffs - often in seconds. Despite representing tens of billions of dollars annually in North America, the market remains technologically under digitized. Critical decision logic lives in disconnected data and tribal knowledge. PartsPulse, an UP.Labs company exists to bring structure and clarity to that decision space. Our ambition is to make the invisible structure of parts relationships visible by building the analytical and visual infrastructure required to: Unify fragmented parts and inventory data Create structured substitution and cross reference logic Develop visual mapping systems that make complex part relationships intelligible Embed measurable decision support directly into dealer workflows Quantify downstream impact on wallet share, margin, availability, and throughput The Role This is the first product management hire on the team and a foundational role for the company. You will play a critical part in shaping not just your product domain, but the overall direction of the PartsPulse platform. You will work directly with product leadership and the executive team to define where we place strategic bets, how we measure value, and how we sequence platform evolution. Your thinking will materially influence company direction. We are hiring a Senior Product Manager who combines strategic judgment with deep analytical rigor. This is not a feature factory role. It is a data first, value first position reporting directly into our Vice President of Product and focused on defining measurable customer impact and identifying the highest ROI opportunities to drive durable growth. What You Will Do Own product vision for a defined area of the platform Define long term direction, roadmap, and measurable outcomes for your domain Influence broader platform architecture and sequencing decisions Contribute meaningfully to company level product strategy Define and quantify customer value Establish leading and lagging indicators tied to dealer behavior and business outcomes Build KPI frameworks connecting product usage to wallet share, margin, inventory turns, and throughput Anchor initiatives to explicit value hypotheses Identify and prioritize highest ROI opportunities Rigorously size opportunities and articulate expected return relative to cost Recommend sequencing based on leverage, feasibility, and risk Build the analytical backbone Partner with engineering on instrumentation and clean data pipelines Create visibility through dashboards and reporting systems Drive disciplined execution Produce structured PRDs that surface tradeoffs and hidden requirements early Align cross functional stakeholders and drive initiatives from concept through iteration Mitigate strategic and project level risk through explicit assumptions and validation plans What We Are Looking For Core Strengths Strong data driven strategic thinking Comfort working with AI driven products and translating model capabilities and constraints into clear product requirements Exceptional analytical rigor and structured problem solving Process oriented with strong documentation discipline Ability to operate in ambiguity while imposing clarity and structure Proven track record leading complex cross functional initiatives in B2B SaaS environments where workflow integration and measurable customer ROI are critical Differentiating Strengths Deep fluency in data systems, analytics, and instrumentation Comfort working with SQL, data warehouses, or backend systems Experience building KPI dashboards and customer level reporting frameworks Exposure to LLM based systems, including prompt iteration or structured evaluation Familiarity with model evaluation concepts such as datasets, scoring rubrics, success thresholds, reliability measurement, or experimentation loops Strong intuition for cost versus value tradeoffs in complex, multi stakeholder B2B environments This is a high ownership, high leverage role for a product leader who wants to shape platform direction, build the analytical backbone of a company, and translate strategic ambition into measurable customer value.

Lead strategy, build teams, and execute growth plans for a tech startup in industrial SaaS. | Extensive experience in founding or scaling B2B SaaS or industrial platforms, with a track record of enterprise sales, AI/ML platform development, and successful exits. | Founding CEO: Lead the Next Breakthrough in Industrial Tech with UP.Labs If you've built and exited a successful Industrial SaaS, Smart Manufacturing or data-driven company-and are eager to do it again-this is your moment to found something game-changing that includes structural advantages beyond the dreams of most startups. We're looking for a CEO to build and scale an industrial software company from day one, in partnership with our corporate partner, a leading manufacturer of trailers, truck bodies, and parts. This is a rare opportunity to lead a venture that starts with: • A real industry problem with immediate, measurable value • A committed enterprise customer base • Capital from tier-one VCs (with flexibility to bring your own backers) • Full founder equity and support from the UP.Labs platform Why Build With UP.Labs • Enterprise traction from day one. You will be joining a startup team, with a product already in pilot/market, being built by an UP.Labs team of product, GTM and engineering leaders. You're solving a problem validated by our corporate partner and the broader ecosystem. • Accelerated path to exit. Our portfolio companies are structured to scale fast with capital efficiency-targeting liquidity in 3-4 years. • Founder-level equity. A competitive base salary and a meaningful ownership stake from day one. • Backed by the best. Work alongside institutional investors, UP.Partners, and top corporate LPs. • World-class infrastructure. Tap into product, engineering, legal, recruiting, and GTM support from the UP.Labs operating team. What You'll Build You'll lead one of two vertical AI startups (based on final match and interest), each of which is already in motion. There will be an 'in-residence' component where you will help shape the opportunity with the 'problem-hunting' team as you transition into the CEO role. • Transforming custom sales in manufacturing starting with intelligent CPQ (configure, price, quote) • Aftermarket parts - predicting demand, automating fulfillment, and eliminating downtime. Your Role You'll serve as founding CEO-setting the direction, building the team, and owning outcomes. This is a hands-on role for someone who can go from zero to scale with urgency, clarity, and grit. Responsibilities: • Own and drive strategy, operations, and execution-P&L, GTM, and beyond • Recruit and lead a top-tier team across engineering, product, and sales • Translate complex supply chain and logistics problems into world-class software • Build deep partnerships with customers, particularly inside the corporate partner ecosystem • Partner with UP.Labs product and venture teams to unlock value quickly and intentionally • Raise capital, drive growth, and lead the company to exit You Might Be a Fit If You've: • Founded or scaled a B2B SaaS or data platform, ideally with a manufacturing, industrial, logistics or supply chain focus • Sold into or worked with complex enterprises (OEMs, distribution, or partner networks) • Built AI/ML-enabled platforms or have a sharp eye for building defensible data moats • Closed enterprise customers and maintained long-term commercial relationships • Led a company through Series A+ or to a successful exit • Built and inspired exceptional, diverse teams under pressure Location: Major Metro Preferred

Design and maintain scalable data pipelines and infrastructure supporting analytics and machine learning. | Expertise in data engineering, SQL, Python, cloud services (GCP, AWS), DevOps, and familiarity with GenAI and front-end technologies. | Overview: UPLabs is a dynamic venture studio dedicated to building innovative startup companies from the ground up. Our team thrives on solving complex problems, driving technological advancements, and creating impactful digital products. We’re seeking a highly skilled professional to join our growing team and contribute to our mission of launching the next wave of successful startups. As a Data Platform Engineer, you will design and build scalable data infrastructure that powers analytics and machine learning capabilities across our portfolio companies. You'll work at the intersection of data engineering, cloud infrastructure, and backend development to create robust data pipelines and platforms that enable data-driven decision making. Responsibilities: Design, build, and maintain highly scalable data pipelines and infrastructure to support advanced analytics and data science initiatives. Implement and optimize cloud infrastructure solutions, with a focus on monitoring, deployment automation, and system reliability. Develop backend services and APIs that integrate with data platforms and support data consumption across various applications. Contribute to front-end data visualization and dashboarding tools to make data insights accessible to stakeholders. Design, build, and maintain sophisticated relational algebra SQL engines encapsulated within Data Products that are integrated throughout the software application. Required Skills: Expert-level proficiency in data engineering, with deep experience building and scaling data platforms and pipelines. Strong SQL skills with extensive experience in PostgreSQL and database optimization. Advanced Python programming capabilities for data processing, automation, and backend development. Extensive experience with Google Cloud Platform (GCP) services and architecture patterns. Solid experience with dbt for data transformation and analytics engineering workflows. Strong backend development skills with ability to build scalable APIs and services. Proficiency in DevOps practices and cloud infrastructure management, including experience with Kubernetes. Working knowledge of GenAI technologies and their application in data platforms. Experience with AWS cloud services and cross-cloud architectures. Familiarity with React and modern front-end technologies for building data interfaces. Preferred Skills: Experience with Kafka for real-time data streaming and event-driven architectures. Working knowledge of TypeScript for type-safe application development. Familiarity with Node.js for building backend services and tooling. Location: Remote

Own end-to-end quality for AI inference systems, develop quality metrics, investigate issues, and improve system reliability. | Experience in AI/LLM output evaluation, debugging distributed systems, and translating ambiguous requirements into test cases. | The Company: Groundtruth is building a first-of-its-kind AI billing platform backed by one of the largest companies in the transportation and logistics industry. Our platform automates accuracy and trust in complex freight transactions by transforming messy, unstructured data – like complex email chains, documents, telematics, and contracts – into a clear, reliable system of record that drives accurate billing. The Role: We’re hiring a hybrid AI QA + Product Analyst to own end-to-end quality for our AI-powered inference system. This role sits at the intersection of LLM inference quality, event-driven backend state-machines, and freight domain logic. You will define what “correct” means, build the quality measurement and regression approach to enforce it, and lead deep-dive investigations when edge cases or customer-specific rules break downstream behavior. The goal is to make our system more accurate, more diagnosable, and more reliable as email volume and customer complexity scales. What you’ll do: Own end-to-end system quality Develop and maintain a quality rubric for key use cases and exception types. (what “right” looks like, and what failure looks like). Build and curate golden datasets (representative emails + expected structured output + expected final outcome), including customer-specific variations. Own ongoing quality review in dev and production: regularly inspect high-volume outputs, diagnose what’s breaking and why, and convert discoveries into concrete roadmap items and regression coverage. Define and execute regression tests for new model changes, backend logic changes, or customer-specific use cases. Investigate and diagnose issues across the full stack of the product Triage quality incidents and ambiguous failures by tracing through: email ingestion/parsing prompts / model outputs / normalization steps / data contracts intermediate structured representations event streams and state-machine transitions final audit exception generation and downstream reporting Use logs, traces, event histories, and data queries to isolate root cause. Produce high-signal findings reports: minimal reproduction, suspected component, evidence, impact, and recommended fix. Build scalable quality operations Create a repeatable triage playbook and classification system for quality issues Define monitoring & dashboards for quality signals (volume anomalies, exception drift, per-customer error hotspots). Partner with engineering/AI to improve observability (correlation IDs, structured logging, traceability from email → state transitions). Act as a product/domain translator Understand freight billing workflows and how real-world documents and communication map to our system’s model of “truth”. Convert customer-specific requirements into testable rules and expected outcomes. Identify systemic gaps where “reality” doesn’t fit the current schema, and propose product changes. Required qualifications: Experience in roles that blend quality + investigation + systems thinking (examples: QA engineer in distributed systems, product analyst with deep debugging, LLM quality analyst, solutions engineer owning incident triage). Demonstrated experience evaluating AI/LLM output quality (extraction/classification, structured outputs, tool calling, RAG, prompt-driven pipelines, or similar). Strong technical ability to debug production issues using: log/trace tools (Datadog, ELK, Honeycomb, OpenTelemetry/Jaeger, etc.) SQL and/or Python for analysis and repro event-driven architectures and workflows/state machines (or similar distributed workflow systems) Ability to write crisp requirements and acceptance criteria, and translate ambiguity into test cases. Comfort operating in messy, high-volume, edge-case-heavy environments. Nice-to-have qualifications: Freight/logistics/audit/billing domain experience (carrier invoices, accessorials, detention, lumper, fuel surcharge, tenders, BOLs, rate confirmations, PODs, etc.). Experience designing evaluation metrics (precision/recall, drift detection, per-customer or per-use-case scorecards). Familiarity with workflow engines/state machines and distributed systems failure modes (event ordering, retries, dedupe, idempotency, partial failure). Experience with annotation/labeling workflows, taxonomy design, and building human-in-the-loop QA processes. Traits that matter in this role: High ownership: you don’t stop at “it’s broken,” you drive it to root cause and resolution. Comfortable with ambiguity and edge cases; systematic in building clarity. Able to communicate across product, engineering, ML, and operations.

Leverage industry network to identify and engage healthcare prospects, guide deals from introduction to close, and provide market insights. | 5-10+ years of healthcare technology sales or business development experience, deep understanding of healthcare workflows, proven track record in multi-stakeholder sales, and ability to communicate complex tech in business terms. | Location: Los Angeles, CA or Remote (U.S.-based) Engagement: Fractional / Part-Time Contract Compensation: Monthly retainer + commission (equity available for the right candidate) About UP.Labs has partnered with an early-stage healthtech startup that is redefining how healthcare organizations engage with their patients. The platform empowers providers, clinics, and care organizations to deliver better outcomes through smarter, AI voice agents and workflow automation, and the company partners with forward-thinking healthcare leaders to help them modernize operations, enhance patient experiences, and unlock new efficiencies. This stealth company is growing quickly, and looking for a seasoned healthcare business development executive to help them expand their footprint across key healthcare segments. The Role As a Fractional Business Development Executive, you’ll leverage your industry network and enterprise sales expertise to help this company grow. You’ll identify target customers, open doors with decision-makers, and play a hands-on role in guiding deals from introduction to close. This is a high-impact, flexible role designed for a senior sales professional with deep healthcare relationships and a proven ability to sell complex technology solutions into provider organizations. Key Responsibilities Leverage your network of healthcare decision-makers to identify and engage potential customers, including: Primary care and specialty practices Urgent care and ambulatory centers Specialty pharmacies Small hospital groups and health systems Other digital health and provider organizations Develop and maintain a target account strategy aligned with our company's growth priorities Conduct introductions and support the sales cycle from initial contact through close, working closely with company leadership. Provide market intelligence: feedback from prospects and industry insights that inform go-to-market strategies. Collaborate with internal teams to refine messaging, pricing, and partnership models. Serve as a trusted industry representative within your network and at relevant events or forums. Ideal Candidate Profile 5-10+ years of sales or business development experience at a healthcare technology company such as an electronic health record (EHR) company or patient engagement platform. Deep understanding of healthcare provider workflows, procurement processes, and decision-making dynamics. Proven track record of closing six-figure deals and managing multi-stakeholder, consultative sales cycles. Strong relationships with key players in healthcare — practice groups, clinics, urgent care networks, or similar. Ability to communicate complex technology concepts in practical, business-focused terms. Self-directed, entrepreneurial, and comfortable operating in a high-growth, early-stage environment. Compensation & Structure Monthly Retainer: To compensate for part-time strategic and outreach work. Commission: Competitive, success-based commissions on sourced or influenced deals. Equity: Available for candidates who demonstrate strong alignment with Thinknetic’s mission and long-term goals. This is an opportunity to work closely with leadership to shape our market presence and accelerate growth — with meaningful upside tied to the success you help drive. Join us in shaping a future where AI agents are transforming healthcare!