UP.Labs

Role Description 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 AI powered solutions for enterprise customers. Technical Challenge: - Design, build, and evolve scalable data pipelines and data platforms to reliably power AI/ML models and agentic workflows for our customers. - Partner closely with forward deployed product and engineering teams to translate ambiguous requirements into robust, maintainable data solutions. Responsibilities: - Architect, build, and maintain scalable, production-grade data pipelines and data models to enable reliable ingestion, transformation, and delivery of data. - Own end-to-end pipeline reliability, including orchestration, monitoring, alerting, and incident response to meet data freshness and quality expectations. - Partner with product, engineering, and analytics stakeholders to define data requirements, translate them into clear technical specifications, and deliver iteratively. - Improve performance, scalability, and cost efficiency of data workloads by tuning SQL queries, optimizing storage/compute patterns, and standardizing best practices across projects. - Document data models, pipeline behavior, and operational runbooks to ensure maintainability and smooth knowledge transfer across accounts. Qualifications - Strong data engineering expertise, including designing and operating data pipelines, data models, and batch/stream processing workflows in a production environment. - Proficiency with Python for building data pipelines, automation, and data tooling. - Advanced SQL skills for data transformation, analysis, and performance tuning. - Experience working with PostgreSQL, including schema design, query optimization, and data integrity best practices. - Experience building data pipelines and workloads on Databricks. - Experience using dbt to develop, test, and maintain modular analytics engineering workflows. - Experience working with MongoDB or other document databases as part of modern data stacks. - Experience working with one or more major cloud platforms: AWS, Azure, or GCP. Preferred Skills - Experience using Snowflake for cloud data warehousing, modeling, and analytics workloads. - Working knowledge of Apache Spark for large-scale data processing. Company Description We build high-growth technology startups that enable faster, cleaner, and safer movement of people and goods. Our vision is to transform the moving world by pairing leading corporations and entrepreneurs with a proven methodology for launching and scaling software and hardware companies. We work with corporate investors over a multi-year period to launch a portfolio of mobility-focused ventures. Our team is dedicated to the first year of a new venture’s life cycle, from ideation to minimum viable product build (and beyond) to recruiting and hiring the full-time team who will scale the business. Location LATAM Remote

Role Description We are looking for an AI-forward Marketing Lead - someone who views AI agents, LLMs, and automation workflows as their core team. Instead of asking for budget to hire an agency or a team, you know how to build, prompt, and orchestrate AI agents to scale content, SEO, and demand gen. You are a high-agency builder who thrives on owning a combination of marketing strategy, hands-on execution, and using cutting-edge tech to achieve massive output with a lean footprint. In this role, you will: - Scale Content via Agentic Workflows: Build and manage automated content pipelines (using tools like Make, Zapier, or custom LLM frameworks) to generate web content, social media assets, presentations, and campaigns at velocity. - Launch Autonomous GTM and Brand Campaigns: Design and deploy go-to-market initiatives using AI-driven insights and automation to target the right audiences, test positioning, and capture demand. - Spearhead Programmatic SEO and Digital Growth: Set up and oversee automated SEO and digital marketing engines that continuously optimize and scale our digital footprint, driving organic discovery for logistics and AI-driven solutions. - Establish AI-Assisted Sales Enablement: Equip sales and business development colleagues with dynamic, hyper-personalized collateral and deck-generation workflows that help close deals faster. - Optimize Messaging: Utilize AI testing loops to continuously refine, iterate, and sharpen GroundTruth's positioning based on real-world customer data and market feedback. - Proactively Push the Company to Its Next Level: Identify and plug strategic gaps, recommend where budget will have the greatest impact, and drive expansion initiatives beyond our current customer base. Qualifications - 5-15 years of marketing experience, predominantly in seed, Series A, and/or Series B venture-backed SaaS startup environments. - Background in B2B technology marketing for mid-market and enterprise SaaS products (preferably agentic AI products). - A track record of leveraging technology to carry out the work of a traditional marketing department. - An obsession for AI tooling, prompt engineering, and marketing automation. - A sharp editorial eye and understanding of how to distill complex technology products into compelling narratives that resonate. - Experience in AI, logistics, transportation, or supply chain technology is highly preferred. - You're energized by autonomy, ownership, and hands-on work that isn’t confined to one specific area. - You possess the communication skills and strategic thinking needed to ensure final (AI-generated) output is high quality, human-grade, and on-brand. - Bachelor’s degree in marketing, communications, graphic design, or similar field. Benefits - Build the future of agentic marketing. - You won't just use AI tools, you'll pioneer how a lean team scales impact through intelligent automation. - Own a critical function. - As the Marketing Lead, you'll shape how GroundTruth is perceived and how we win in the market. - Work with a proven team. - Built by founders and engineers obsessed with solving real operational problems for enterprise customers. - Remote flexibility. - Work from anywhere on a full-time, part-time, or contract basis.

Role Description We are hiring a Sr. Security Controls & Compliance Engineer to build, implement, and operate the security control foundation across multiple applications in a venture studio environment. This is a hands-on security execution role. We need someone who can: - Understand enterprise customer security requirements. - Identify the controls required. - Implement or configure those controls directly where possible. - Verify that controls are operating effectively. This person will help prepare our venture applications for SOC 2 readiness while supporting enterprise customer data, information security, and TPRM requirements. They will work across: - Cloud environments - Identity systems - Source control - CI/CD workflows - Logging - Monitoring - Compliance tooling - Operational security processes The goal is to create a repeatable security baseline that each venture application can inherit, operate against, and eventually carry forward as it matures or spins out. Responsibilities - Build, implement, and operate security and compliance controls across multiple venture applications and supporting systems. - Translate enterprise customer security, data handling, and TPRM requirements into practical technical controls, operational workflows, evidence requirements, and remediation plans. - Create a reusable security control baseline that can be applied across current and future venture applications. - Configure and operate compliance automation platforms such as Vanta, Drata, Secureframe, or similar tools. - Configure evidence integrations across systems such as cloud platforms, GitHub, identity providers, ticketing systems, device management tools, productivity platforms, and security tooling. - Implement identity and access controls, including SSO, MFA, role-based access, least-privilege permissions, access review workflows, and offboarding evidence. - Implement secure SDLC controls, including branch protection, required code reviews, code scanning, dependency scanning, secret scanning, vulnerability management workflows, and release/change management evidence. - Implement or configure cloud security controls, including IAM policies, encryption settings, logging, monitoring, backup settings, network restrictions, and security alerting. - Implement operational security workflows, including vendor review, risk review, change management, policy attestation, incident response evidence, exception tracking, and recurring control reviews. - Maintain a centralized control library mapped to SOC 2 Trust Services Criteria, customer-specific requirements, and relevant frameworks such as ISO 27001, NIST CSF, or CIS Controls. - Support SOC 2 readiness activities, including control mapping, evidence requirements, gap tracking, audit preparation, and control verification. - Identify launch-blocking security gaps and close them directly where possible. - Partner with product engineering only where application-specific code, architecture, or deeper infrastructure changes are required. - Write clear technical requirements and acceptance criteria for any security work that must be completed by product engineering. - Review and verify control implementation to ensure controls are actually operating and producing evidence. - Support customer security questionnaires, audits, evidence requests, and enterprise security reviews with accurate technical detail. - Track control gaps, remediation status, launch blockers, and compliance risk for leadership. - Help create a repeatable security implementation playbook that future ventures can inherit as they mature or spin out. What Success Looks Like - Enterprise customer requirements are translated into implemented controls, not just documented gaps. - Each venture application has a working security baseline across identity, cloud, source control, CI/CD, logging, monitoring, evidence, and operational processes. - SOC 2 readiness is actively tracked with clear control ownership, evidence collection, and operating cadence. - Compliance tooling is configured and produces useful evidence across the required systems. - Engineering teams are not overloaded with generic security tasks; they are engaged only when product-specific implementation is required. - Security launch blockers are identified early, prioritized clearly, and remediated quickly. - Customer security reviews, audits, and questionnaires are handled with accurate technical detail and supporting evidence. - Leadership has clear visibility into control maturity, launch risk, audit readiness, and open remediation items. - The venture studio has a reusable security control baseline that can be applied to new applications and carried forward as ventures mature. Qualifications - 5+ years of experience in security engineering, cloud security, DevSecOps, security operations, security compliance, GRC, or a related field. - Hands-on experience implementing security controls in cloud/SaaS application environments. - Experience supporting SOC 2 readiness, SOC 2 audits, or similar compliance programs. - Strong understanding of security controls, audit evidence, policy requirements, control testing, and control operation. - Experience translating customer or enterprise security requirements into practical technical controls. - Ability to configure and operate security and compliance systems directly, not just document requirements. - Experience with identity and access controls, including SSO, MFA, RBAC, least privilege, access reviews, and offboarding controls. - Experience with secure SDLC controls, including source control permissions, code reviews, branch protection, vulnerability management, dependency scanning, secret scanning, and change management evidence. - Experience with cloud security controls such as IAM, encryption, logging, monitoring, backups, network restrictions, and alerting. - Experience with compliance automation or GRC tools such as Vanta, Drata, Secureframe, OneTrust, Tugboat Logic, or similar platforms. - Familiarity with tools such as GitHub, Jira, Linear, Okta, Google Workspace, Slack, AWS, Azure, GCP, or similar systems. - Strong written communication skills for policies, procedures, audit documentation, technical requirements, and customer-facing security responses. - Ability to operate in an ambiguous, fast-moving startup or venture environment. Preferred Qualifications - Experience supporting enterprise customers with strict security, data handling, or TPRM requirements. - Experience in venture-backed startups, SaaS companies, enterprise software, or venture studio environments. - Familiarity with SOC 2 Trust Services Criteria, ISO 27001, NIST CSF, CIS Controls, or similar frameworks. - Experience implementing security controls across AWS, Azure, GCP, or multi-cloud environments. - Experience with GitHub security features, CI/CD security controls, vulnerability management tools, and cloud security monitoring tools. - Experience with identity platforms such as Okta, Google Workspace, Microsoft Entra ID, or similar. - Experience with logging, monitoring, incident response, vendor risk, evidence automation, and security questionnaire support. - Relevant certifications such as CISSP, CISM, CISA, CRISC, ISO 27001 Lead Implementer, AWS Security Specialty, Security+, or similar.

Role Description UP.Labs is a venture studio that builds and launches vertical AI enterprise SaaS companies with corporate partners in transportation, mobility, logistics, and industrial markets. We are hiring a Senior Security Controls & Compliance Engineer on a 6+ month contract to build, implement, and operate the security control foundation across multiple venture applications. This is a hands-on security execution role. We are not looking for someone who documents gaps, manages a compliance tool, and routes work to engineering. We need an operator who can understand enterprise customer security requirements, identify the controls required, implement or configure those controls directly, and verify they are operating effectively. You will prepare our venture applications for SOC 2 readiness while supporting enterprise customer data, information security, and TPRM requirements. Because our ventures are built alongside large corporate partners, the security bar is set by real enterprise buyers from day one, not by an internal checklist. The goal is a repeatable security baseline that each venture application can inherit, operate against, and carry forward as it matures or spins out into an independent company. What You'll Own - Build, implement, and operate security and compliance controls across multiple venture applications and supporting systems. - Translate enterprise customer security, data handling, and TPRM requirements into practical technical controls, operational workflows, evidence requirements, and remediation plans. - Create a reusable security control baseline that can be applied across current and future venture applications. - Select, configure, and operate a compliance automation platform (evaluating options such as Vanta, Drata, or Secureframe), including evidence integrations across cloud, GitHub, identity providers, ticketing, device management, and productivity tools. - Implement identity and access controls: SSO, MFA, role-based access, least privilege, access review workflows, and offboarding evidence. - Implement secure SDLC controls: branch protection, required code reviews, code scanning, dependency scanning, secret scanning, vulnerability management, and release/change management evidence. - Implement cloud security controls: IAM policies, encryption settings, logging, monitoring, backups, network restrictions, and security alerting. - Implement operational security workflows: vendor review, risk review, change management, policy attestation, incident response evidence, exception tracking, and recurring control reviews. - Maintain a centralized control library mapped to SOC 2 Trust Services Criteria, customer-specific requirements, and relevant frameworks (ISO 27001, NIST CSF, CIS Controls). - Support SOC 2 readiness end to end: control mapping, evidence requirements, gap tracking, audit prep, and control verification. - Identify launch-blocking security gaps and close them directly where possible. - Partner with product engineering only where application-specific code, architecture, or deeper infrastructure changes are required, writing clear technical requirements and acceptance criteria for that work. - Support customer security questionnaires, audits, evidence requests, and enterprise security reviews with accurate technical detail. - Track control gaps, remediation status, launch blockers, and compliance risk for leadership. - Produce a repeatable security implementation playbook that future ventures can inherit, and support the handoff of a venture's security posture when it spins out. What Success Looks Like - Enterprise customer requirements are translated into implemented controls, not just documented gaps. - Each venture application has a working security baseline across identity, cloud, source control, CI/CD, logging, monitoring, evidence, and operational processes. - SOC 2 readiness is actively tracked with clear control ownership, evidence collection, and operating cadence. - Compliance tooling is selected, configured, and producing useful evidence across the required systems. - Engineering teams are engaged only when product-specific implementation is required, not overloaded with generic security tasks. - Security launch blockers are identified early, prioritized clearly, and remediated quickly. - Customer security reviews, audits, and questionnaires are handled with accurate technical detail and supporting evidence. - Leadership has clear visibility into control maturity, launch risk, audit readiness, and open remediation items. - A reusable security control baseline and playbook exists that can be applied to new ventures and carried forward as they spin out. Qualifications - 7+ years in security engineering, cloud security, DevSecOps, security operations, security compliance, or GRC, including hands-on control implementation in cloud/SaaS environments. - At least one full SOC 2 readiness-through-audit cycle owned or driven end to end. - Demonstrated ability to configure and operate security and compliance systems directly, not just document requirements. - Strong command of security controls, audit evidence, policy requirements, control testing, and control operation. - Proven experience translating enterprise customer security requirements into practical technical controls. - Hands-on experience with identity and access controls (SSO, MFA, RBAC, least privilege, access reviews, offboarding). - Hands-on experience with secure SDLC controls (source control permissions, code review, branch protection, vulnerability management, dependency and secret scanning, change management evidence). - Hands-on experience with cloud security controls (IAM, encryption, logging, monitoring, backups, network restrictions, alerting). - Experience standing up and operating a compliance automation / GRC platform (e.g., Vanta, Drata, Secureframe) from scratch. - Familiarity with our core stack: GitHub, Jira or Linear, Okta, Google Workspace, Slack, and a major cloud provider (AWS, Azure, or GCP). - Strong written communication for policies, procedures, audit documentation, technical requirements, and customer-facing security responses. - Ability to operate independently in an ambiguous, fast-moving venture environment and deliver on a compressed timeline. Preferred Qualifications - Experience supporting enterprise customers with strict security, data handling, or TPRM requirements. - Experience in venture-backed startups, enterprise SaaS, or venture studio environments. - Experience carving a company's security posture out of a parent or shared-services environment during a spin-out or standalone build. - Familiarity with SOC 2 Trust Services Criteria, ISO 27001, NIST CSF, or CIS Controls. - Experience with GitHub security features, CI/CD security controls, vulnerability management tools, and cloud security monitoring. - Relevant certifications: CISSP, CISM, CISA, CRISC, ISO 27001 Lead Implementer, AWS Security Specialty, or Security+.

• 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

Role Description UP.Labs is seeking a proven Lead Engineer with a track record in 0>1 environments to join a new AI platform in our portfolio. This stealth venture is reimagining how mid-market manufacturers manage production planning and scheduling. - Own backend architecture and system design decisions alongside the CTO - whiteboard to production. - Build and scale the core platform on a Node.js / Python stack with Azure Databricks as the data layer. - Design and implement optimization-heavy algorithms for demand planning and production scheduling. - Establish engineering patterns, standards, and discipline as the team grows from its earliest stage. - Collaborate directly with product and data functions - the team is small, the surface area is wide. - Mentor and eventually lead a small team of engineers, setting the technical bar without the ego. - Use AI as a force multiplier across development and product capabilities. Qualifications - 5–10+ years of engineering experience, with meaningful tenure at startups - ideally founding or early engineer who stayed and saw a product scale. - Demonstrated 0>1 experience on a B2B SaaS product, with firsthand exposure to scaling to thousands of customers. - Proficiency in Node.js and Python; comfort across a modern JavaScript stack. - Experience with Azure Databricks or comparable cloud data platforms. - Some experience leading or mentoring engineers, even informally. - Startup grit: willing to operate solo or in a very small team and own outcomes end-to-end. - (Nice-to-have) Experience building or working within AI/ML-integrated stacks. - (Nice-to-have) Exposure to optimization algorithms, operations research, or scheduling systems. Requirements - You rose through the ranks at a startup, not a big company. You built things from scratch and learned system design by doing it. - You think architecturally, not just tactically - when complexity increases, you bring discipline to it, not workarounds. - You’ve scaled a B2B SaaS product to real customer loads and understand what that actually requires: security, capacity, reliability. - You lead without pretension - deep technical expertise without needing a title to prove it. - You’re comfortable operating in ambiguity early on, wearing multiple hats, and building the plane while flying it. Company Description UP.Labs builds high-growth tech startups that enable faster, cleaner, and smarter movement of people and goods. Our unique approach combines meaningful equity for team members, scalable software built from the ground up, and deep corporate partnerships with industry leaders invested in the outcome.

Role Description UP.Labs is seeking a proven Head of Operations / Chief of Staff with a track record in 0>1 environments to join a new AI platform in our portfolio. This stealth venture is reimagining how mid-market manufacturers manage production planning and scheduling. As our Head of Operations / Chief of Staff, you'll be a jack of all trades operator: - Building internal infrastructure and running back office functions. - Partnering closely with product and customer success. - Directly engaging with enterprise manufacturing customers. - Translating plant-floor feedback into actionable insights. - Managing onboarding and adoption with manufacturers and OEMs. - Establishing systems and processes for scaling from one pilot site to a network-wide rollout. In this role you will: - Build and oversee operations for the company, leading with a hands-on approach to processes, playbooks, and KPIs. - Partner with customers during onboarding, deployment, and adoption, ensuring successful rollouts at manufacturing sites. - Work across business functions: managing and/or coordinating HR, Legal, Finance, and Customer Success vendors and partners. - Serve as the connective tissue between customers, product, and engineering. - Establish and manage systems to run the company (e.g., Notion, HubSpot, productivity and reporting tools). - Own stakeholder reporting: prepare updates for leadership, corporate partners, and investors. Qualifications - Success building operational infrastructure for high-growth startups. - Strong background in customer success and enterprise SaaS implementations. - Reputation as a well-rounded project manager with exceptional instincts and organizational skills. - High EQ, low ego - executive presence with a team-first attitude. - Comfort with enterprise manufacturing customers and consultative ability with stakeholders. - Experience building systems across finance, HR, marketing, and operations. Requirements - 3–5+ years of experience in strategy, operations, or customer success in SaaS. - Program management and reporting skills for complex, multi-site rollouts. - Technical fluency with APIs and enterprise SaaS workflows. - Background in product, consulting, customer success, or operations. - Experience in a high-pressure tech environment with multidisciplinary teams. - Startup grit: willing to operate solo early on and wear multiple hats. - (Nice-to-have) Direct exposure to manufacturing operations, APS/MRP systems, or supply chain software. Company Description UP.Labs builds high-growth tech startups that enable faster, cleaner, and smarter movement of people and goods. Our unique approach combines meaningful equity for team members, scalable software built from the ground up, and deep corporate partnerships with industry leaders invested in the outcome.

Role Description UP.Labs is hiring a hands-on Head of Engineering for a stealth startup building an AI-powered identification and commerce platform for a large, fragmented industrial aftermarket. The industry is massive, essential, and almost entirely un-digitized. The core problem: the journey from how industrial equipment is manufactured to how it gets serviced in the field is fundamentally broken. Parts go unidentified. Wrong parts get ordered and returned at staggering rates. And the experts who know how to navigate this complexity are retiring with no system in place to capture what they know. We're building the platform that fixes this end-to-end - starting with AI-powered visual identification and expanding into the full commerce layer: cross-reference, fit confirmation, inventory, and embedded ordering. The goal isn't just an identification tool. It's the commerce OS for this industry, with identification as the entry point. As the first engineering leader, you'll own architecture, data infrastructure, and team building. You'll remain hands-on early, build the technical foundation from scratch, and set long-term technical direction as we scale. You'll also have access to the UP.Partners ecosystem - product, engineering, design, analytics, legal, talent, finance, and VC - to help accelerate execution. In this role, you will: - Lead and grow the engineering team, balancing hands-on development with strategic leadership. - Architect and own the core platform, including data pipelines, AI/ML integration layers, machine vision systems, and scalable cloud infrastructure. - Lead ingestion and transformation of complex structured industrial data — bridging the gap between how equipment is built and how it can be identified and serviced in the field. - Build and oversee a mobile-first product experience, leveraging camera, LiDAR, and on-device sensors for AI-powered identification in the field. - Design and ship robust integrations with OEM ERP and DMS systems to ingest inventory, pricing, and product data at scale. - Partner with Product and Data Science to translate messy real-world industrial workflows into intelligent, automated systems. - Drive best practices around security, CI/CD, observability, testing, and documentation. - Establish the technical vision for AI-driven identification, predictive data enrichment, and closed-loop fulfillment execution. - Manage and mentor distributed contributors (including nearshore/offshore teams) to build a high-performance engineering culture. - Deliver quick MVP iterations while laying the foundation for enterprise scale. Qualifications - A technical leader who thrives at the intersection of AI, data, and enterprise SaaS. - Hands-on and detail-oriented, comfortable writing code, reviewing PRs, and guiding architecture. - Fluent in agentic AI development - you've worked with AI coding tools and understand how to build and lead teams in this new world order. - Skilled at integrating complex enterprise data systems (ERP, DMS, supply chain, pricing engines). - Experienced building products that combine data infrastructure with applied machine learning and computer vision. - A collaborative partner who can work closely with product, data science, and business stakeholders - and represent the technical vision credibly in front of customers and investors. - Capable of thriving in ambiguous, high-growth startup environments and scaling teams from 0→1 and beyond. Requirements - 8+ years in software engineering, including 4+ years leading small, high-output teams in early-stage environments. - Strong backend or full-stack background and ability to remain hands-on. - Proven experience scaling B2B enterprise SaaS platforms with real-time data pipelines and system integrations - you think in SLAs, uptime, and enterprise integration patterns. - Expertise in cloud architecture, CI/CD pipelines, observability, and distributed systems. - Experience working with AI/ML platforms (e.g., predictive models, computer vision, optimization engines, LLM copilots). - Experience overseeing or building mobile app products (iOS/Android); familiarity with on-device sensor capabilities (camera, LiDAR) is a strong plus. - Familiarity with ERP/CRM/DMS integrations - SAP experience is a plus. - Experience leading or managing distributed teams (nearshore/offshore). - Background in aftermarket, supply chain, manufacturing, or industrial systems (nice-to-have). Benefits - Build and lead the engineering organization for a high-growth AI startup from day one - full ownership, meaningful equity. - Solve a genuinely hard problem in a market that has been ignored by technology - the opportunity to be first matters here. - Work directly with a CEO with deep commercial experience in the space who wants a technical co-founder-level partner - not someone behind the glass. - Collaborate with UP.Labs, strategic OEM partners, and investors to drive real impact in a $20–30B+ market. - Earn meaningful equity in a company positioned to transform how OEMs and distributors generate and protect revenue. - Remote-friendly. We care about output, not location.

Role Description UP.Labs 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 UI/UX Designer to join our growing team and contribute to our mission of launching the next wave of successful startups. As a Product Designer at UP.Labs, you’ll work closely with product strategists, engineers, and clients to deliver high-quality products that solve enterprise-scale problems. This role requires a self-starter who is user-centric, thrives on collaboration, and can solve complex problems with elegant, intuitive design. You’ll be instrumental in creating engaging user experiences and integrating AI-driven features that deliver exceptional value. In this role you will: - Be responsible for owning every aspect of UX and UI design - from defining the problem, to crafting the solution, and launching the product. - Conduct user research and usability testing, iterating designs based on real feedback. - Collaborate with product strategists, engineers, and clients to shape solutions. - Develop storyboards, journey maps, and wireframes to visualize workflows. - Design and prototype user interfaces with a focus on usability, consistency, and scalability. Qualifications - A digital portfolio demonstrating UX process and outcomes (research, design, testing). - 7 years proven experience in UI/UX design with emphasis on functional, visually engaging interfaces. - 5+ years working with SaaS. - Experience with analytics, visualization, and decision-support tools (beyond consumer apps). - Proficiency in Figma (design systems, interactive prototypes, high-fidelity mockups). - Strong foundation in typography, layout, and interaction design principles. - Expertise in responsive design for seamless web and mobile experiences. - Ability to simplify complex, data-heavy workflows into intuitive, scalable solutions. - Comfortable designing around AI-driven insights, explainability, and trust. - Experience with multi-layered and multi-tenant workflows. - Skilled in user research, journey mapping, and usability testing. - Knowledge of WCAG and inclusive design best practices. - Deep experience collaborating with product managers, engineers, and data scientists to define problems and solutions. - Clear communicator—able to explain design rationale visually and verbally. - Self-starter who identifies opportunities and drives work forward. - Familiarity with generative and evaluative research methods to validate design decisions. - Understanding of AI concepts and their impact on UX. Nice to Have - Experience designing for AI-driven or agentic workflows. - Familiarity with Miro for presentations and collaboration. - Experience maintaining or evolving scalable design systems. - Proficiency in Adobe Creative Suite. - Experience with branding and marketing design. If you don’t meet every single requirement listed above, but believe your skills and experience make you a strong fit, we encourage you to apply. We value curiosity, problem-solving, and growth mindset just as much as credentials. Please submit your portfolio and let us see how you think about design.

Role Description We’re partnering with one of the world’s leading construction equipment manufacturers to reinvent how the industrial world builds, operates, and makes decisions. This is a rare chance to work shoulder-to-shoulder with a global market leader, tackling high-impact problems with technology and taking bold ideas from 0 to 1. As a Data Science lead on this venture, you’ll have the mandate and autonomy to turn raw concepts into real businesses - scoping, building, and launching software that can transform an industry. You'll act as the principal expert while leading data science for the venture. You will collaborate with your venture team to design and implement data pipelines, guide data science best practices, oversee data monitoring, and build AI/ML solutions. Your duties will include: - Assisting in validating the initial business concepts - Ideating and validating AI/ML use cases - Developing prototypes and proof of concepts - Working closely with the product and engineering team members to drive practical outcomes You’ll have the support you need to drive new innovation in impactful domains ripe for change and growth and be at the forefront of data science and technology advancements in the field. In this role, you will: - Act as the primary owner of Data Science, Analytics, and Data Engineering as a subject matter expert - Build out a team and incubate expertise amongst several venture start-ups - Create rapid proofs of concept, then scale into functional MVPs to turn concepts into tangible reality - Mentor and support early-stage venture teams to achieve bigger outcomes at a greater scale in data density and system complexity - Cross-pollinate learnings, best practices, and insights between multiple ventures to drive continuous improvement of Engineering and Data Science at UP.Labs - Enjoy working in a diverse, dynamic, collaborative, transparent, and inclusive environment where all ideas and opinions are equally valued Qualifications - 8 years experience within Data Science, Data Engineering, and Machine Learning domains and their practical applications - Experience working in a startup environment; member of a founding team ideal - Hands-on experience with machine learning algorithms like random forest, linear and logistic regressions, gradient boosting, classification - Familiarity and preference for working in ambiguous, fast-paced environments such as startups and growth-phase tech companies - Hands-on and end-to-end product build, development, and delivery experience - Experience working with or managing and leading remote, distributed teams including full-time data scientists, engineers and vendors/contractors - Awareness of the latest in Data Science and Data Engineering trends, as well as new use cases within the ML Space - Experience working with major cloud environments (Azure, GCP, AWS) and cloud-native software architectures - Experience with Database and Warehouse solutions, e.g. Data Bricks, Snowflake, Fivetran, DBT and respective public cloud data infrastructure service offerings from AWS, GCP, and Azure - Strong experience in collaborating with Product teams to find effective solutions - Strong communication skills put to use by explaining technical vision and deeply technical concepts to a variety of multidisciplinary team members - An open, curious, and humble mindset that builds on to our open, inclusive, and collaborative environment Additional Desired Competencies - Experience with systems planning in the domains of transportation, aviation, or digital simulation would be valuable - Containerized deployment Tools like Kubernetes, and Docker - Infrastructure as Code Tools like Terraform and OpenTofu - Familiarity with AB testing setup and analysis - Familiar with Reinforcement Learning for practical use cases Location Santa Monica, CA or Remote Travel 6+ weeks per year