Engineering Jobs in Penngrove, CA

Fractal is a strategic AI partner to Fortune 500 companies, with a bold vision: to power every human decision in the enterprise. We believe the future belongs to organizations that combine human imagination with intelligent systems—and Fractalites are the ones building that future. As we scale our Technology, Media & Telecom (TMT) practice in the United States, we are looking for a senior, client-facing Head of Engineering to shape and deliver world-class Data & AI platforms for leading Technology, Media & Telecom organizations.

This is not a back-office engineering role. This is a consulting-led, client-facing engineering leadership position for someone who is equally comfortable whiteboarding architecture with principal engineers, rolling up their sleeves with delivery teams, and advising CIOs, CTOs, and CDOs in the boardroom.

Learn more at Fractal | Intelligence for Imagination.

Note: This position is not eligible for Immigration Sponsorship at this time.

About the Role

This is a four-axis leadership role requiring technical depth, executive presence, team leadership, and embedded delivery. You'll work directly with top technical and functional leaders at some of the largest TMT companies in the world.

As Head of Engineering for Fractal's Technology, Media & Telecom (TMT) vertical, you will personally shape the architecture of mission-critical AIML platforms, often in first-party tech stack, and develop/drive the team of ICs who bring them to life.

Responsibilities

Some engagements will look like a traditional advisory model. Others will look a lot more like Forward Deployed Engineering: your team embedded inside a client's engineering org, working within their first-party tech stack, shipping production code alongside their engineers, and earning influence through technical credibility, not org chart position.

You will need to be in the room when the technology roadmap needs to change. When a business pivot, a new regulation, or a technology shift forces a rethink mid-execution, you are the person who picks up the marker, walks to the whiteboard, and redraws the architecture in real time, credibly, for the CTO, and Principal Engineering leaders simultaneously.

Technical Depth (Hands-On Architecture)

• Own AI/Data platform architecture decisions — from Lakehouse design and real-time streaming to MLOps, LLMOps, and AgentOps pipelines in production
• Serve as the technical authority for Fractal's TMT engineering practice — defining standards, reviewing design, and holding the bar on reliability, scalability, and security
• Translate ambiguous business problems into concrete, buildable platform architectures — and stay close enough to execution to know when something is not working
• Drive the industrialization of GenAI: moving clients from proof-of-concept to enterprise-grade, governed, and observable AI systems

Executive Presence & Live Architectural Thinking

• Command the room with senior client leadership — CIOs, CTOs, CDOs, and their direct reports - as a peer, not a vendor
• Whiteboard new architectural directions on the spot: when a business pivot, acquisition, regulatory shift, or technology breakthrough forces a mid-execution rethink, you synthesize it into a credible, buildable path forward live, in the room, without needing a week to prepare a deck
• Translate between two worlds simultaneously: make the architecture legible to a CFO and rigorous enough to satisfy a principal engineer in the same session
• Shape client roadmaps at the strategic level; identifying where the current plan is under-ambitious, over-engineered, or misaligned with emerging AI capabilities, and steering accordingly
• Represent Fractal at the highest level of client relationship

Team Leadership (Building & Driving Senior ICs)

• Develop and lead a high-performing group of individual contributors. principally senior and staff engineers, ML engineers, and data platform engineers
• Create the engineering culture: rigorous delivery standards, architectural thinking, and a bias toward elegant, production-grade solutions over quick fixes
• Build leadership depth within the team, identifying principals who can own programs and grow into broader roles
• Partner across Fractal's global AI and engineering Capability functions to staff programs strategically and raise capability across the TMT practice

Forward-Deployed & Embedded Delivery

• Lead and run FDE-style engagements where your team operates inside the client's engineering environment
• Navigate and deliver within client-owned, first-party technology stacks: proprietary data platforms, internal ML infrastructure, custom orchestration systems, and bespoke toolchains that do not appear in any industry survey
• Adapt quickly to non-standard environments, understanding a client's internal platform deeply enough to extend it, integrate into it, and earn the trust of their engineering staff
• Balance the tension between what Fractal does best and what the client's stack demands, knowing when to bring pattern, when to adapt, and when to advocate for a better path
• Set the standards for how Fractal operates in deeply embedded engagements: how we onboard, document, transfer knowledge, and leave clients stronger than we found them

Candidate Profile

Technical Qualifications

TMT clients bring genuinely hard problems on both open and proprietary infrastructure. Expect to architect and oversee:

• GenAI systems: RAG architectures, LLM fine-tuning pipelines, agentic workflow orchestration, and LLMOps observability
• AI-powered products: personalization engines, churn prediction, content recommendation, and network fault detection
• Client-proprietary ML infrastructure: internal feature stores, custom model serving layers, bespoke experiment tracking systems, and first-party orchestration frameworks
• Cloud-native infrastructure across AWS, Azure, and GCP with enterprise-grade governance, security, and compliance baked in
• Real-time and event driven data pipelines (e.g. network telemetry)
• Modern Lakehouse platforms (Databricks, Snowflake, Delta Lake, Iceberg) at petabyte scale and proprietary data platform equivalents at leading tech-forward TMT organizations

Non-technical Qualifications

We are particularly interested in leaders from environments where engineering rigor, client accountability, executive presence, and AI depth all coexist including Forward Deployed Engineering, elite data/ML platform teams, and senior hyperscaler architecture practices.

• 15–20 years of experience spanning AI/data engineering and technical leadership with clear evidence of owning architecture at scale
• Deep hands-on experience deploying AI/ML/GenAI systems in production, in addition to advising on them
• Demonstrated executive presence: you have walked into a CTO or CDO review, redrawn the architecture based on new constraints, and left the room with alignment
• The ability to whiteboard fluently under pressure, synthesizing a team's in-flight work with a new business direction, making it rigorous enough for engineers and clear enough for executives, on the spot and without a rehearsal
• Experience operating within client-owned or non-standard technology stacks - you have learned a proprietary system, earned trust from skeptical internal engineers, and delivered production-grade results inside someone else's infrastructure
• A track record of leading senior engineers and building high-performance ML/engineering teams, including hiring, coaching, and developing principal-level ICs
• Direct executive engagement experience - you have influenced CIO/CTO/CDO decisions and can hold your own in a room with technical and non-technical stakeholders at once
• Strong cloud-native fluency across one or more hyperscalers, with genuine depth in data platform patterns (streaming, batch, Lakehouse, governance)

Strong Preferences

• Experience in TMT vertical — hi-tech, telco, media platforms, streaming infrastructure, ad tech, or content delivery at scale
• Prior work in FDE-style or embedded delivery models where your team shipped inside a client codebase and was evaluated by their engineering standards, not just deliverable milestones
• Comfort with the ambiguity of 1P stack environments: you have debugged undocumented internal tools, extended proprietary frameworks, and figured out how to make external expertise land inside a closed ecosystem
• A personal reputation for architectural clarity: the person colleagues call when a problem needs to be drawn, not just describe
• Contributions to the ML/AI community: open source, publications, conference talks, or influential architectural patterns

Who Thrives Here

The Fractalite mindset is curious, rigorous, and impact driven. You will thrive in this role if you:

• Enjoy being client-facing and accountable for outcomes.
• Are comfortable navigating ambiguity, scale, and complex stakeholder environments.
• Believe great platforms come from strong engineering culture plus disciplined execution.
• See AI not as a novelty, but as a core enterprise capability that must be engineered responsibly.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

We're working with a fast growing AI startup in SF that's hiring a GTM Engineer to help scale revenue through data, analytics, and experimentation.

This isn't a typical analytics role.

You'll sit at the intersection of product, growth, and engineering, building the systems that determine how the company acquires customers, measures performance, and optimizes every part of the funnel.

Your work directly impacts revenue.

What makes it interesting is the environment:

• High ownership across growth and product systems

• Direct exposure to paid channels, product analytics, and revenue data

• Building real infrastructure, not just dashboards

• Heavy use of AI to surface insights and drive decisions

• 14 hour days in a high-intensity environment where you move fast and see immediate impact

They're looking for people who:

• Have strong Python and SQL skills

• Have worked with paid acquisition data (Google, Meta, TikTok)

• Think in experiments and understand causation vs correlation

• Have built or owned metrics, attribution, or LTV/CAC systems

• Want to work in a fast-paced, high-growth environment

SF based, in office

$130K to $190K + bonus + equity

If this sounds interesting, feel free to message me or get in touch.

Our client, a Fortune 500 retail organization with a nationwide distribution network, is seeking a Strategic Sourcing Manager to support large-scale construction and facilities engineering procurement initiatives across their supply chain network.

This role plays a key part in sourcing industrial construction materials, equipment, and services for new facility builds, expansions, and ongoing engineering initiatives. The individual will partner closely with engineering, property development, legal, finance, and operations teams to design sourcing strategies that deliver cost efficiency, risk mitigation, and supplier performance improvements.

The ideal candidate will bring deep expertise in construction procurement, contract negotiation, and cost modeling, with the ability to influence stakeholders and drive complex sourcing projects from concept through execution.

Projects You'll Work On

• Leading end-to-end strategic sourcing initiatives for industrial construction and facilities engineering categories.
• Developing sourcing strategies for categories such as steel structures, concrete, MEP systems, material handling equipment, racking systems, conveyors, and site services.
• Managing the full sourcing lifecycle including market research, supplier identification, RFP development, bid management, negotiations, and contract execution.
• Conducting construction cost analysis, clean-sheet modeling, and should-cost modeling to identify optimal pricing and savings opportunities.
• Partnering with engineering and development teams to support distribution center construction, expansions, and infrastructure upgrades.
• Managing supplier relationships and performance through KPIs, quarterly business reviews (QBRs), and executive-level supplier meetings.
• Performing spend analysis and market intelligence research to anticipate supply risks and pricing fluctuations.
• Driving cost optimization through value engineering, competitive bidding, and strategic negotiations.
• Supporting facilities engineering teams with sourcing for material handling equipment repair, refurbishment, and replacement.
• Developing presentations and recommendations for executive leadership to support strategic sourcing decisions.

What Experience You Should Bring

• Bachelor's degree in Supply Chain, Construction Management, Engineering, Finance, Economics, or Business (MBA or advanced degree preferred).
• 5+ years of strategic sourcing or category management experience focused on industrial construction or facilities engineering procurement.
• Experience managing large-scale sourcing projects for construction materials, contractors, or engineering services.
• Strong understanding of construction cost estimation, budgeting, and material cost drivers.
• Experience leading RFP/RFQ processes, supplier negotiations, and contract development.
• Ability to analyze supplier bids using TCO modeling, cost analysis, and financial modeling.
• Experience working cross-functionally with engineering, legal, finance, and project management teams.

What Will Help You Stand Out

• Familiarity with distribution center construction, logistics infrastructure, or retail supply chain environments.
• Experience working with construction management software (e.g., Procore) and sourcing platforms (e.g., Coupa).
• Knowledge of regulatory frameworks such as OSHA, LEED, and construction compliance standards.
• Professional certifications such as CPSM, CCM, or CCPS.
• Strong financial acumen including experience analyzing budgets, cash flow, and cost structures.
• Advanced Excel skills (pivot tables, VLOOKUPs, data modeling) and strong presentation capabilities.

Work Environment

• Hybrid role with regular in-office collaboration and occasional travel to facilities and project sites.
• Ability to manage multiple sourcing projects simultaneously in a fast-paced, cross-functional environment.

Compensation & Benefits

The base salary range for this position is up to $200,000.00, depending on experience and qualifications.

The total rewards package may include performance incentives, health benefits, retirement plans, and professional development opportunities.

Manufacturing Validation Engineer

Petaluma, CA

Onsite | Contract-to-Hire | $60–$75 per hour

Kelly Engineering is seeking an experienced Manufacturing Validation Engineer to support equipment and process validations for a growing life sciences manufacturing organization in the North Bay. This role will play a key part in helping the manufacturing team complete critical validations as the company prepares for commercialization and production scale-up.

This position is ideal for engineers who have strong hands-on validation experience in regulated environments and can independently write and execute validation protocols, address deviations, and support the qualification of manufacturing and laboratory systems.

This is a contract-to-hire opportunity based on performance and business needs.

Schedule: Monday through Friday onsite. Some overtime or occasional weekend work may be required based on business needs in a fast-moving startup environment.

What You Will Do

• Execute equipment and process validations including IQ, OQ, and PQ

• Author validation protocols, reports, work instructions, and supporting documentation

• Support equipment commissioning, qualification, and troubleshooting activities

• Investigate and document validation deviations, ensuring clear and compliant technical documentation

• Establish process controls and documentation for validated equipment and systems

• Collaborate with Quality, Manufacturing, and R&D teams to support production readiness and scale-up activities

• Perform risk assessments including FMEA and validation impact assessments

• Support change control, deviation investigations, and CAPA activities within a regulated quality system

• Validate laboratory and manufacturing equipment such as incubators, refrigeration systems, and other controlled equipment

• Support validation activities for facility and utility systems including water systems, piping, and related infrastructure as needed

• Participate in engineering studies or DOE activities to support process understanding and operational tolerances

• Identify opportunities to improve manufacturing processes, quality systems, and operational efficiency

What You Need

• Bachelor’s degree in Engineering or a related technical field preferred

• 5–7+ years of experience in regulated manufacturing environments such as pharmaceutical, biotechnology, medical device, or combination product manufacturing

• Strong hands-on experience executing IQ, OQ, and PQ validation protocols

• Demonstrated experience writing validation documentation, technical reports, deviations, and work instructions

• Knowledge of FDA-regulated manufacturing environments and quality systems (such as 21 CFR Part 820, 211, or similar GMP frameworks)

• Experience supporting equipment qualification, facility systems, or process validation efforts

• Ability to troubleshoot equipment and manufacturing processes during validation activities

• Strong written documentation skills and attention to regulatory compliance

• Ability to work cross-functionally with Quality, Manufacturing, and Engineering teams

This role requires a proactive engineer who can work independently, communicate clearly, and adapt within a collaborative startup team environment where priorities evolve as the organization scales manufacturing operations.

Friedman’s Home Improvement is seeking a hands-on Applications Manager to own, lead, and continuously improve the enterprise applications that power our retail, supply chain, and digital operations. This is a working manager role ideal for a technically strong leader who enjoys coding, problem-solving, mentoring a small team, and partnering closely with the business to deliver measurable impact.

This role blends technical depth, people leadership, and operational excellence. You will be accountable for the reliability, scalability, and performance of core systems including Dynamics 365 Finance & Operations, eCommerce (Sana Cloud Commerce), Retail POS, Warehouse Management, and Business Intelligence platforms.

The ideal candidate thrives in a lean, fast-paced environment, leads with curiosity and empathy, and embraces agile delivery, observability, automation, and software reliability engineering principles to reduce toil and create durable systems.

Top 5 Non-Negotiables

To be successful in this role, you must bring:

1. Hands-on (coding) experience with Microsoft Dynamics 365 Finance & Operations
2. Hands-on engineering leadership with strong understanding of observability, monitoring, and automation
3. Power BI and data warehouse experience, with a track record of driving data-informed decisions
4. Proven ability to lead and develop a small, high-performing technical team while remaining technically hands-on
5. Exceptional communication and relationship-building skills, fostering accountability, collaboration, and continuous improvement across business partners

What You’ll Do

Application & Platform Leadership

• Own the end-to-end enterprise applications portfolio, including D365 F&O, eCommerce (Sana Cloud Commerce), POS, Warehouse Management, BI, and integrated corporate systems
• Ensure high availability, performance, scalability, and security across all platforms
• Lead application upgrades, releases, and vendor-delivered enhancements with strong change-management discipline

Hands-On Technical Execution

• Act as a hands-on technical leader, designing, configuring, coding, and supporting enhancements and integrations—especially within Dynamics 365 F&O
• Drive automation of repetitive tasks using tools such as Power Automate, RPA, or Copilot to reduce manual effort and operational friction
• Lead root-cause analysis and implement durable fixes to improve system stability and reliability

Data, BI & Decision Enablement

• Own Power BI, Power On, and reporting ecosystems, ensuring data accuracy, governance, and performance
• Partner with business leaders to translate data into actionable insights, dashboards, and KPIs
• Oversee data pipelines, warehousing, and analytics capabilities that support enterprise decision-making

Agile, SRE & Continuous Improvement

• Apply agile methodologies to prioritize work, deliver iteratively, and adapt quickly to changing business needs
• Champion observability and SRE practices to proactively detect issues, optimize performance, and improve uptime
• Continuously identify opportunities to improve processes, tooling, and system efficiency

People & Partner Leadership

• Build, mentor, and lead a lean, high-performing team of Application Specialists
• Foster a culture of ownership, accountability, collaboration, and technical excellence
• Manage vendor relationships to ensure delivery against timelines, budgets, and service-level expectations
• Partner closely with functional leaders to align technology solutions with business outcomes

Financial & Operational Stewardship

• Provide accurate budgeting, forecasting, and cost management for application initiatives and vendor services
• Support special projects and strategic initiatives aligned with Friedman’s business goals

Education & Experience

• Bachelor’s degree in Computer Science or related field or 8+ years of equivalent professional experience
• 6+ years of hands-on experience with Dynamics 365 Finance & Operations
• 4+ years in retail or omnichannel environments
• Experience supporting Business Intelligence, data modeling, ETL, and analytics platforms
• Microsoft certifications (strongly preferred):
• Dynamics 365 Finance & Operations Apps Solution Architect Expert
• Dynamics 365 Finance Functional Consultant Associate

Required Qualifications

• Deep technical and functional expertise in D365 F&O, including architecture, customization, integrations, and troubleshooting
• Experience with Power BI, Power On, data warehousing, ETL pipelines, Azure Synapse or similar platforms
• Strong familiarity with Agile, DevOps, and SRE practices, including observability tools (e.g., Azure Application Insights)
• Proven success translating business needs into scalable technical solutions
• Demonstrated ability to lead, coach, and grow a technical team while remaining hands-on
• Strong project management skills and experience leading cross-functional initiatives
• Excellent written and verbal communication skills—able to explain complex technical concepts in clear, business-friendly terms
• Highly organized, detail-oriented, and process-driven, with a mindset of continuous improvement
• Customer-focused with strong follow-through and ownership mentality

Why Friedman’s

At Friedman’s, technology directly supports the people and operations that serve our communities. This role offers the opportunity to make a visible impact, work closely with business leaders, and build resilient systems that support a growing, values-driven organization.

We look forward to hearing from you!

Presales Solution Architect – US

Series AI Start-up - AI/ML

Location: San Francisco Bay Area (Hybrid)

Salary: Market-leading salary package + stock + benefits

The Role

As a Presales Solution Architect, you'll operate at the intersection of enterprise AI — helping organizations unlock predictive intelligence from the structured data that powers their business. You'll work hand-in-hand with Enterprise Account Executives and technical stakeholders to identify architectural challenges, design scalable AI solutions, and guide customers through high-impact technical evaluations that directly drive revenue.

This role is perfect for someone energized by solving complex technical problems, engaging deeply with customers, and clearly articulating how advanced AI capabilities translate into measurable business outcomes. If you thrive in fast-growth environments and want to help enterprises operationalize next-generation AI at scale, you'll excel here.

What You'll Do & Achieve

• Drive technical discovery sessions to identify high-impact, high-value use cases where enterprise AI delivers measurable ROI.
• Collaborate with Sales to create compelling demos, run competitive benchmarks, and prototype solutions on customer datasets to accelerate deals.
• Own the technical vision for assigned customers, cultivating deep relationships with senior stakeholders and shaping long-term adoption strategies.
• Lead end-to-end solution delivery, coordinating cross-functional teams — including engineers, IT, governance, and business stakeholders — to remove blockers and ensure alignment.
• Architect scalable, production-ready solutions and integration patterns that perform reliably in complex enterprise environments, from on-prem systems to cloud VPCs and legacy infrastructure.
• Capture patterns and insights from deployments to generate high-impact engineering feedback, informing product and model development.
• Develop repeatable deployment strategies, reference architectures, and best-practice playbooks to accelerate the impact of the broader Solutions Architect team.
• Travel up to 50% of the time to engage directly with customers and deliver hands-on solution experiences.

Who You Are

• 7+ years in customer-facing technical roles (e.g., Solutions Architect, Sales Engineer, ML Engineer, Data Scientist) with proven success delivering complex AI or ML solutions.
• Track record leading enterprise-scale technical implementations, spanning modern Generative AI or traditional machine learning systems, across cloud and on-prem environments.
• Experienced navigating multi-stakeholder enterprise environments, balancing competing priorities, and driving deployments to completion.
• Exceptional communicator, capable of translating complex technical concepts for both technical and executive audiences.
• Hands-on technical expertise in data manipulation, rapid prototyping, and analysis using tools such as Python, Pandas, and SQL.
• Collaborative, cross-functional mindset — skilled at balancing trade-offs and working effectively across teams to achieve outcomes.
• Self-starter with the ability to own initiatives end-to-end, quickly fill knowledge gaps, and deliver results.

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Project Superintendent – Commercial Construction

Location: San Francisco, California

Salary: $152K–$165K + performance-based bonus

Experience: 5–10+ years in commercial construction, healthcare, education, life sciences, or civic projects

About the Role

Lead complex construction projects from preconstruction through completion. Manage daily field operations, oversee schedules, budgets, and quality, and coordinate multiple trade partners. Serve as the primary on-site leader, fostering safety, professionalism, and collaboration across all project stakeholders.

Requirements

• Bachelor's degree in Construction Management, Engineering, or related field (or equivalent field experience)
• 5–10+ years of experience in commercial construction
• Hands-on experience managing field operations on complex projects
• Familiarity with construction scheduling and project management systems
• Strong leadership, communication, and team development skills
• Ability to manage safety, quality, and regulatory compliance on-site

Perks & Benefits

• Competitive base salary + performance-based bonus
• Medical, dental, and vision insurance
• 401(k) plan with company match
• Paid time off, holidays, and parental leave
• Career development and training programs
• High-performance, purpose-driven culture

To Apply: Send your resume to

Responsibilities:

• Establishing and expanding advanced research initiatives focused on next-generation computational modeling and large-scale simulation frameworks.
• Initiating and driving new directions in numerical methods, partial differential equations, and the theoretical underpinnings of data-driven scientific computing.
• Guiding and developing a small, high-caliber research team while defining technical priorities and quality standards.
• Partnering closely with engineering to convert mathematical concepts into efficient, scalable computational solutions.
• Elevating research excellence through influential publications and thought leadership in top-tier venues.

Desired Qualifications:

• PhD in Applied Mathematics, Physics, Computer Science, or a related discipline (or equivalent research accomplishments).
• Strong background in numerical analysis, scientific computing, computational physics, or the mathematical theory of machine learning.
• Proven experience leading or mentoring researchers in rigorous, first-principles investigation.
• Established record of impactful publications or equivalent scholarly contributions.
• Preferred: Experience translating academic advances into practical, real-world or industry applications.

About the Opportunity: A fast-growing leader in consumer electronics sensory technologies (acoustics, haptics, vibration motors, micro actuators, and precision components) is rapidly expanding its motors and robotics team in the Bay Area. This high-impact role supports major global smartphone, wearable, and laptop OEMs, driving next-generation small motor systems and related modules from concept through high-volume mass production.

Green card or Citizenship required

Key Responsibilities:

• Own and lead cross-functional program execution for micro-motors, vibration/haptics actuators, gearboxes, small robotics modules, and cooling systems (fans/blowers) from early design through NPI, prototyping, qualification, and ramp to full production.
• Serve as the primary voice of the customer: collaborate closely with high-level clients (decision-makers at top-tier OEMs), manage build schedules/milestones, mitigate risks, resolve interdependencies, and handle commercial topics (quotes, POs, invoices, pricing/delivery).
• Coordinate global cross-functional teams (engineering, manufacturing, quality, supply chain) and work directly with engineering/factory teams to ensure on-time delivery and quality targets.
• Identify and drive program priorities, even when not fully defined; take full ownership of project success without requiring direct authority.
• Support customer visits to manufacturing sites and be available outside regular hours as needed.

Required Qualifications:

• Bachelor's degree (Engineering, Supply Chain, or related field) or equivalent experience.
• 3–5+ years of program/project management experience (5–10 years preferred for senior fits).
• Proven track record driving hardware/product development lifecycles in high-volume consumer electronics or related industries (smartphones, wearables, laptops, tablets, robotics/small actuators).
• Strong understanding of NPI cycles, supply chain operations, and cross-functional team leadership.
• Experience with Hardware, not software

We're hiring a Founding Product Manager to help build AI-powered software transforming how logistics operators work.

This is not a feature-factory PM role.

This is a ground-floor opportunity to design and ship a product that turns messy, real-world logistics workflows into simple, trusted, intelligent software.

Who we're looking for

You're scrappy, systems-minded, and thrive in ambiguity.

• 3–5+ years shipping B2B SaaS products
• Experience building products from 0→1 (ideally for non-technical users)
• Comfortable operating in highly regulated or operationally complex industries
• Strong product instincts paired with structured thinking
• Bonus: logistics, supply chain, or fintech experience
• Early stage startup experience

You're excited by turning operational chaos into elegant, intuitive systems.

What you'll do

• Own end-to-end product execution. from customer discovery and prioritization through delivery and launch
• Map messy, real-world logistics workflows into crisp product experiences
• Work closely with engineering to ship AI features operators trust defining quality bars for accuracy, confidence, and explainability
• Build the product foundation: instrumentation, metrics, release processes, and scalable systems
• Visit customers to deeply understand workflows and pain points
• Partner with GTM to drive adoption, retention, and expansion

This is a true founding PM role. You'll shape not just features, but the product philosophy and operating system of the company.

Comp

$150K–$200K

0.3–0.8% equity

If you want to build at the intersection of AI and global trade and be the product leader from day one please send in your resume asap