Engineering Jobs in Cotati Sonoma County, CA

Job Description: NVIDIA - Autonomous Vehicle Integration & Test Engineer - Santa Clara, CA

The Autonomous Vehicle Integration & Test Engineer will be a part of NVIDIA's triage team and will handle reported incidents with the product this is an engineer position, troubleshoot and find root cause of issues in the sensors, warning lights, cameras, computing unit issues, application errors. They have to find the root-cause-and figure out how to fix it, it stops when it goes into software, like if there's a bug in the software he hands it off to software team. Handshake of software, they must upload software packages to the product. There's no programming of software but they do need to upload these software packages in a Linux environment (basic commands), this is more high level for sensors and software packages. Identifying the issue with the product-if its software they tell them what software package to unload to product and the integration engineer does that.

Qualifications:

• 3+ years of hands-on experience diagnosing robotics or hardware
• 2+ years of experience with automotive bus systems for analysis (FLEXRay, CAN) -Really strong Linux experience-deploying/updating/installing software packages into Linux OS
• Extensive experience troubleshooting electrical systems/Previously worked in a troubleshooting role-specifically within electrical systems -
• Bachelors in Engineering (electrical, mechanical, IT)

Nice to have (Not Required)

• Previously worked in the OEM industry: Rivian, Waymo, Zoox, Tesla, , Momenta, Cruise, May Mobility, Nuro, , Honda R&D, etc., OR Aerospace industry

Job Info:

• Job Type: Contract
• Duration: 2+ years (On-going)
• Location: Santa Clara CA
• Hourly Pay: $60-$70
• Health, Dental, Vision, 401k
• 10 PTO Days, 5 Paid Sick Leave Days, Paid Holidays

Looking for a Gen AI architect with 15+ years experience and 8+years experience focusing on Model Optimization, Fine-Tuning & Strategic AI in San Francisco, CA.

Role Summary:

You represent the pinnacle of Applied AI engineering. You are not just using APIs; you are optimizing the models themselves. You understand the mathematics behind the attention mechanism, you know how to squeeze performance out of GPUs, and you can customize models for specific domains. You provide the high-level technical vision and handle the most difficult edge cases. .

Key Responsibilities:

Model Fine-Tuning: Implement PEFT (Parameter-Efficient Fine-Tuning), LoRA, and QLoRA to adapt open-source models (Llama 3, Mistral) to specific client domains.

Optimization & Quantization: Perform model quantization to reduce inference costs and latency without sacrificing quality. Manage Dense Vectors and embedding optimizations.

State-of-the-Art Exploration: Continuously research and implement the latest advancements (e.g., State Space Models, Long-Context optimizations) into client deliverables.

Strategic Consulting: Act as a trusted advisor to C-level client executives, defining the \"Art of the Possible\" and guiding long-term AI roadmaps.

Technical Requirements:

Deep Learning: PyTorch/TensorFlow, Transformers architecture internals, Attention mechanisms.

Model Ops: Serving custom models (vLLM, TGI), GPU memory management, Quantization techniques (GGUF, AWQ).

Advanced Data: Training data curation, synthetic data generation, RLHF concepts.

Tech Leadership: Ability to define the technical culture and set standards for the entire FDE organization.

Soft Skills:

Executive communication and ability to influence C‐level leaders.

Thought leadership and industry presence (conferences, playbooks, forums).

Cross‐org leadership and conflict resolution.

Ability to define long‐term AI vision and cultural standards.

Strategic decision‐making balancing cost, risk, and performance.

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.

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!

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.

The Company

A rapidly growing data consultancy founded in 2023 by a former venture-backed biotech VC data/technology leadership team in San Francisco. The firm has already delivered 20+ engagements across tech, healthcare/biotech, finance, energy, real estate, and startups - building complex data platforms, products, and AI-driven systems.

The Role

A hands-on, senior individual contributor role for engineers who still love coding. You'll work in small teams (often 1–3 engineers) to design and build production-grade data platforms, pipelines, and products across industries.

What You'll Work On

• High-impact, fixed-scope builds (e.g., enterprise data marts, complex migrations)
• End-to-end data platform deployments (ETL, warehouses, BI across AWS/Azure/GCP)
• Partnering with startups to build data-intensive products from 0 → 1

What We're Looking For

Hands-on builder

• Actively writing production code today
• Not removed into management or purely architectural roles

Infrastructure ownership

• Personally deployed and operated production systems
• Cloud, CI/CD, scaling, monitoring, reliability

End-to-end ownership

• Taken products from idea → launch → ongoing operation
• Comfortable operating autonomously with stakeholders

True seniority (well beyond 5 years)

• Targeting engineers with meaningful depth and ownership
• Strong preference for backgrounds in smaller, high-ownership environments
• Experience wearing multiple hats (application + infrastructure + deployment)

Why Join

• High autonomy and real technical ownership
• Variety of industries and problems
• Small, elite engineering team
• Opportunity to shape a fast-scaling consultancy

Location: San Francisco (5 days a week on-site)

Salary: $190k-$250k + 10-20% bonus + equity + sign on bonus

Benefits: Full Health, Vision, Dental, Life Insurance, Commuter Benefits, Unlimited Time off, 401k matched.

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

Role Summary

We are seeking a seasoned business leader to build and lead our North America operations in AI Data Center and Server Power solutions.

This role carries full market ownership responsibility — including strategy, revenue growth, key account acquisition, and organizational build-out — with direct exposure to executive leadership.

What You Will Own

• Define and execute North America go-to-market strategy and multi-year growth roadmap.
• Establish and expand strategic relationships with Hyperscalers (CSP), OEM/ODM partners, server manufacturers, and data center operators.
• Drive revenue growth, pipeline development, pricing strategy, and commercial negotiations.
• Build and scale the regional team across business development and technical support functions.
• Lead executive-level customer engagement, including roadmap alignment and long-term supply agreements.
• Translate industry shifts (AI/GPU architecture, high-power PSU, digital power, GaN/SiC) into competitive positioning.
• Partner closely with global R&D, product, and operations teams to ensure execution excellence and scalable delivery.

What We're Looking For

• 8+ years of leadership experience in AIDC, IDC, server power, or power electronics industries.
• Strong track record selling into North American Hyperscalers, server OEMs, or major data center operators.
• Deep understanding of AI server power systems (high-density PSU, redundant architecture, UPS).
• Demonstrated success building new markets or scaling regional operations (0→1 or 1→N growth experience).
• Executive presence with strong negotiation and cross-cultural collaboration capability.
• Bachelor's degree or above in Electrical Engineering, Power Electronics, or related field preferred.
• Based in the Bay Area; able to travel globally as required.
• Native-level Mandarin and fluent English required.

Why This Role

• Direct ownership of North America strategy in a high-growth AI infrastructure market.
• Opportunity to build a regional organization from the ground up.
• Executive visibility and meaningful impact on global expansion.

About Veer

Each year, roughly 10% of an employer's workforce experiences a significant personal event that requires a leave of absence. Once thought of as a compliance risk, leave is now recognized by leading employers as a critical moment in the employee journey.

At Veer, we believe every employee deserves the time and support needed to thrive. We work with HR leaders at leading enterprise employers to transform the leave experience—moving beyond the \"DMV-like\" processes of forms, wait times, and confusion. Our digital and mobile platform guides employees from leave planning through return to work, ensuring a smooth, supportive transition.

The results speak for themselves: higher employee satisfaction, stronger operational effectiveness, and greater business continuity. Today, we're reinventing a $10+ billion industry. Tomorrow, we aspire to help make paid leave a universal human right. We're building Veer for the long term—with the shared commitment of our investors, customers, and partners—and we're doing so as a team grounded in empathy, curiosity, and impact.

About the Role

We're seeking a Senior Implementations Manager to own the end-to-end deployment of our leave experience software platform for enterprise customers. This is a critical role at the intersection of customer success, product, and engineering—you'll be the quarterback ensuring complex implementations are delivered successfully for some of the world's most innovative and admired employers.

You'll be the primary point of contact for large enterprise customers during implementation, managing multiple stakeholders across employee benefits, HR, IT, and legal teams. Given our early stage, you'll work closely with engineering on assigned implementations, translating customer requirements into technical specifications while maintaining project momentum.

As we build toward a truly scalable platform, you'll be instrumental in identifying where AI and automation can replace manual work—we're looking for someone who sees AI as a tool to 10x their impact, not a threat.

Our Implementation Managers are the face of Veer in many ways. They set the tone for the customer relationship and overall success of the product and must provide confident leadership throughout the process.

What you'll do

Project management/leadership

• Serve as day-to-day contact and project manager for enterprise implementations, coordinating across multiple customer stakeholders and internal teams.
• Develop and manage detailed project plans in collaboration with customers and engineering, ensuring on-time delivery.
• Lead implementation kickoff meetings, serving as a change management guide to establish clear goals, set expectations on scope, timeline, responsibilities, and effectively frame the value proposition to drive user adoption.
• Manage multiple active implementations and projects spanning a variety of use-cases, complexity, and customer team size
• Keep key customer stakeholders informed of major milestones, risks, and decisions. Proactively communicate delays or challenges, managing expectations, and aligning on mitigation plans.
• Act as a strategic consultant, guiding customers to the best solutions within the defined project scope to ensure their core business needs are met without compromising delivery milestones.
• Navigate complex organizational structures at large employers, building relationships with leave of absence and disability program managers, IT teams, legal counsel, and executive sponsors.

Leave program expertise

• Demonstrate deep understanding of leave of absence and disability programs—including FMLA, state leave laws (CA, NY, WA, etc.), STD/LTD, and employer-specific policies.
• Gather and document customer requirements, translating customer-specific leave policies and business rules into clear specifications for design and engineering teams.
• Advise customers on best practices for leave experience design and product set-up and configuration.
• Stay up to date on federal, state, and local leave law changes and industry trends, proactively advising customers and internal product teams on potential impacts and necessary product adaptations.

Product configuration & design

• Partner with design team to create mockups and prototypes that reflect the customer's desired employee and administrator experience.
• Lead customer review sessions to refine the product experience and gather feedback that drives product improvements and customer success.
• Balance customer customization requests with product scalability considerations.

Technical coordination

• Work with engineering on product integrations with HRIS systems, benefits administration systems, and third-party administrators.
• Work with product management on customer requests for new features.
• Collaborate with product and engineering teams to identify implementation steps that can be automated or enhanced with AI, building toward a more scalable platform.
• Develop customer UAT test cases and facilitate UAT prior to launch.
• Troubleshoot implementation issues and serve as liaison between customers and technical teams.

Customer enablement

• Design and execute a structured customer communications and enablement playbook to ensure the successful transition from the customer's current state to the post launch future state.
• Create and deliver tailored enablement content.
• Support internal champions at the customer organization to stimulate adoption.
• Host live training sessions or webinars for customer teams and users.
• Formalize the handoff to Customer Success by partnering to create a comprehensive \"Success Plan\" that outlines the customer's business goals, key stakeholders, unique configurations, and potential areas for future growth.

In your first year, you'll:

• Successfully lead 3-5 enterprise implementations from kickoff to launch
• Identify and implement AI-driven automation opportunities that reduce implementation time by 20%+ (e.g., automated requirement gathering, documentation generation, testing scripts, customer communication)
• Build repeatable processes and documentation that reduce engineering dependency over time
• Become a trusted advisor to customer stakeholders on leave program strategy
• Identify product gaps and advocate for improvements based on customer feedback
• Help us scale the implementation function by mentoring future team members

What we are looking for (required)

• 5+ years of experience in enterprise software implementation, project management, or a customer-facing advisory/consulting role in a fast-paced B2B SaaS company
• Enthusiastic about leveraging AI tools to automate repetitive work, scale implementations, and enhance the customer experience. You're constantly asking \"how can we do this faster/better with AI?\" rather than defaulting to manual processes.
• Strong understanding of employee leave and disability policies and programs (STD/LTD, FMLA, state disability, parental and family leave, etc.) and the HR/benefits landscape
• Proven ability to manage and strategically consult on complex, multi-stakeholder enterprise projects with competing priorities
• Excellent communication skills—you can translate between technical and non-technical audiences, effectively advising and influencing senior business stakeholders
• Comfortable working in ambiguous, fast-moving environments where you'll need to build processes from scratch
• Technical aptitude and ability to work closely with engineering teams on integrations and product configuration

Bonus skills

• Direct experience with leave administration, benefits program management, or HRIS implementations
• Familiarity with third-party administrators like Sedgwick, Lincoln, or MetLife
• Experience at an early-stage software company during rapid scaling
• Background in HR technology, specifically absence management, case management, or workflow automation platforms

Why join Veer?

• Meaningful Impact: Transform how millions of employees experience one of the most critical moments in their working lives
• Customer Quality: Work with blue-chip enterprise customers who are committed to improving their leave programs
• Early Team Member: Join at an inflection point—help build the implementation playbook and team as we scale
• Cross-Functional Exposure: Work directly with founders, product, engineering, and design on every implementation
• Ownership: This isn't a handoff role—you'll own implementations from contract signing through go-live and beyond

This is a full-time salaried, exempt position. Compensation ranges from $110,000-$195,000 and is based on your experience and legal state of residence.