Engineering Journal Impact Factor Jobs Full Time Jobs in Eldridge, CA

Local to Bay area

1 day onsite @ Oakland office.

Role must interface with both business and engineers; expected to work directly with engineering teams.

Focus is on the enterprise data platform and data engineering; not an analytics/visualization role.

Core technical expectations

Strong data ecosystem background: experience leading data products or data warehousing initiatives.

Solid understanding of schemas, databases, and ETL (Extract, Transform, Load) processes; no hands-on coding expected but must be able to engage deeply with engineers and "know what they are talking about."

Primary data warehouse platform: Snowflake.

Broader big data background acceptable if not purely Snowflake (e.g., Databricks, BigQuery, Redshift).

Current ETL tool: Informatica; hands-on Informatica expertise is not required.

Analytics/visualization not in scope; Power BI knowledge is a nice-to-have, not mandatory.

Role and scope

Titles vary across industry: product owner (PO), project manager, scrum master, TPM; at PG&E, similar roles may be labeled "product managers."

Not seeking a pure scrum master or a typical external-facing PO who only writes requirements.

Role must interface with both business and engineers; expected to work directly with engineering teams.

Focus is on the enterprise data platform and data engineering; not an analytics/visualization role.

Core technical expectations

Strong data ecosystem background: experience leading data products or data warehousing initiatives.

Solid understanding of schemas, databases, and ETL (Extract, Transform, Load) processes; no hands-on coding expected but must be able to engage deeply with engineers and "know what they are talking about."

Primary data warehouse platform: Snowflake.

Broader big data background acceptable if not purely Snowflake (e.g., Databricks, BigQuery, Redshift).

Current ETL tool: Informatica; hands-on Informatica expertise is not required.

Analytics/visualization not in scope; Power BI knowledge is a nice-to-have, not mandatory.

A fast-growing robotics company is building autonomous systems designed to automate repetitive tasks within the global infrastructure and construction sector. The company’s mission is to help address workforce shortages while accelerating the development of critical infrastructure projects.

Their robotics platforms combine advanced autonomous navigation, cloud software, and intelligent field tools to improve precision and efficiency across construction environments. With a growing fleet of robots already deployed across multiple project sites globally, the company is developing the next generation of automation tools used in areas such as infrastructure development, surveying, energy projects, and large-scale construction.

The company is seeking a Full-stack Developer to design and maintain the software systems that power its robotics ecosystem — including operator dashboards, cloud infrastructure, and applications that interface with robots operating in the field.

This role will contribute to building reliable tools for mission planning, fleet monitoring, and communication between cloud systems and robotic platforms. The position involves close collaboration with robotics engineers, field operations teams, and product stakeholders to ensure the software delivers measurable impact in real-world environments.

Key Responsibilities

• Design and develop full-stack applications for device management, mission control, and fleet coordination.
• Build and maintain mobile applications used by field operators.
• Develop desktop applications used to interface with robotic systems.
• Create web dashboards and APIs for mission planning, telemetry visualization, and operational data analysis.
• Integrate cloud infrastructure for data storage, monitoring, and deployment.
• Ensure reliable communication between cloud services and deployed robotic systems.
• Collaborate with robotics, product, and field teams to deliver integrated software functionality.
• Write technical documentation for APIs, system architecture, and software modules.
• Optimize systems for scalability, reliability, and performance in field environments.
• Requirements
• Education
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

Experience

• 4+ years of professional full-stack development experience.
• Strong experience with JavaScript / TypeScript using modern frameworks such as React, Next.js, and Node.js.
• Strong UI/UX development experience using modern CSS frameworks.
• Experience building mobile applications using React Native.
• Experience developing cross-platform desktop applications.
• Production experience with cloud platforms such as AWS including APIs, storage, and deployment pipelines.
• Strong understanding of software architecture, testing methodologies, and performance optimization.
• Proficiency with development tools including Git, issue tracking systems, and CI/CD pipelines.

Soft Skills

• Strong analytical and problem-solving ability.
• Ability to collaborate effectively in a fast-paced engineering environment.
• Strong ownership mindset and communication skills.
• Preferred Qualifications
• Experience working with robotics systems or robotics middleware.
• Familiarity with real-time communication protocols such as WebSockets or MQTT.
• Experience working with IoT devices, connected hardware, or industrial systems.
• Experience working with performance-sensitive or multi-threaded applications.
• Experience with containerization technologies such as Docker or Kubernetes.

VP of Engineering

AI-Driven Marketing Orchestration Platform

Overview

Our client is building an AI-native marketing orchestration platform designed to optimize creative generation, media spend, and performance through multi-agent systems. The platform will initially power a portfolio of marketing agencies and evolve into a standalone SaaS business. This is a foundational engineering leadership role.

Core Mandate

Build and ship a production-grade AI platform that:

• Reliably manages multi-agent workflows
• Handles enterprise-scale marketing spend
• Iterates rapidly based on real customer feedback
• Balances speed with system reliability

What Success Looks Like (First 12 Months)

• Working production system used by real customers
• Reliable multi-agent workflows (no catastrophic failure modes)
• High iteration velocity (weekly / bi-weekly shipping cadence)
• Strong early engineering team (5–8 people)
• Clear product traction and engagement

Key Responsibilities

Architecture & Systems

• Design and build multi-agent orchestration systems
• Ensure reliability in probabilistic workflows (failure handling, guardrails)
• Own backend architecture, data pipelines, and integrations (ad platforms, CRM, analytics)
• Implement observability, monitoring, and cost controls

Hands-On Development

• Write production code daily in early stages
• Review and improve code from team
• Guide AI-assisted development workflows (Cursor, Claude, etc.)
• Ensure code quality and security

Product & Iteration

• Work directly with customers to refine product
• Ship quickly and iterate based on feedback
• Balance MVP speed with enterprise reliability

Team Leadership

• Hire and lead a small elite engineering team
• Set engineering standards and velocity
• Mentor developers and enforce accountability

Required Experience

• Experience building ad tech or marketing technology systems
• Experience deploying AI / LLM systems to production
• Experience with multi-agent or orchestration workflows
• Strong backend / distributed systems experience
• Experience leading engineering teams (5–20 people)
• Must be hands-on and capable of coding

Preferred Background

• AI-native SaaS or adtech companies
• Experience at high-growth startups

Key Traits

• Builder mindset (not a pure manager)
• High technical rigor
• Mentally flexible (not dogmatic about tools)
• Customer-focused
• Moves fast but cares about quality

Location

• Preferred: New York or Los Angeles
• Open: SF or remote for exceptional candidates

Talent Acquisition Manager – AI Infrastructure & Engineering

San Francisco, California

Hybrid Working

We are expanding our global team and launching a new office in San Francisco.

WNTD is looking for an experienced Talent Acquisition Manager to join our Talent Solutions team and support the continued growth of AI infrastructure and accelerated compute platforms across North America.

This role will support one of the most significant AI infrastructure expansion programmes currently underway, focused on building next generation platforms powered by NVIDIA accelerated compute.

You will work closely with senior technical leaders to attract and hire talent across the full infrastructure stack including software engineering, AI platforms, GPU environments and large scale compute infrastructure.

This is a delivery focused role supporting high growth engineering programmes across AI infrastructure and cloud platforms.

The Role

You will lead hiring across multiple engineering disciplines spanning software engineering, AI infrastructure platforms and high performance compute environments.

Working closely with technical leadership and programme stakeholders, you will build pipelines of high quality candidates and manage fast moving hiring plans across several technical workstreams.

Key Responsibilities

• Build and manage talent pipelines across software engineering, AI infrastructure and GPU compute environments

• Proactively source talent across the United States through mapping, referrals and direct outreach

• Screen candidates for technical capability, experience and long term fit

• Partner with engineering leaders to define hiring priorities and role requirements

• Maintain clear tracking of hiring pipelines and delivery progress

• Support wider Talent Solutions activity during peak delivery phases

• Ensure a professional and consistent candidate experience

• Champion fair and inclusive hiring practices

Key Experience

• Proven experience hiring across complex engineering environments

• Strong track record building pipelines across software and infrastructure roles

• Comfortable engaging with technical stakeholders and discussing engineering topics

• Excellent communication and stakeholder management skills

• Strong organisation with the ability to manage multiple roles simultaneously

What We Offer

• Competitive salary and benefits

• Opportunity to support one of the fastest growing AI infrastructure build programmes globally

• Growth within a high performing delivery focused team

• Hybrid working model

• A collaborative culture that values ownership, pace and problem solving

Additional Requirements

• Ability to commute to the San Francisco office

• No visa sponsorship available

• Hybrid working model

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.

Job Description:

Mandatory to have working experience as SRE manager especially in Retail domain application support ( NOT CLOUD /DevOps)

Must have working knowledge on SRE principles such as Logs, metrics, availability metrics, uptime, ticket tracking, e-com services, ITIL framework specifically on Alerts, Incident, change management, CAB, Production deployments, Risk and mitigation plan, SLA, SLI, SLO

Hands on experience in Monitoring, Logging, Alerting, Dashboarding, and report generation in any observability tools Prefer DataDog or other tools such as Splunk/Dynatrace/ELK/Grafana). This engagement is a customer using Dynatrace,Splunk, PagerDuty hence it is good to have this expertise

Mandatory to have work experience in leading Level 2/Level 3 application support team based out of IND who provide 24x7 coverage.

Should know how to gather & communicate SRE requirement from customers and define SRE roadmap.

Working experience on how to gather requirements on health of applications, services to monitor, setting service levels.

Must have good knowledge on eCommerce platforms in microservice architecture, Sterling OMS , Retail Applications like XStore.

Should be able to lead P1 calls, brief about the P1 to customer, proactive in gathering leads/ customers into the P1 calls till RCA, PIR etc.

Should have knowledge on building process , framework by following ITSM principles, SOP, runbooks, handling any ITSM platforms (JIRA/ServiceNow/BMC Remedy)

Must know how to work with the Dev team, cross functional teams.

Should be able to generate WSR/MSR by extracting the tickets from ITSM platforms, present to customers and client leaders.

Manage overall SRE delivery, customer focus mindset , closely work with customer leaderships.

Preferred:

Be a client face at customer site collaborating with client leadership.

Ability to clearly communicate and understand a technical idea/concept.

Ability to work in a professional environment while interacting with peers and stakeholders, collaborating with offshore teams.

Excellent written and verbal communications skills.

Motivated, goal driven, influential, innovative, curious, and open minded, fun to work with, collaborator.

Capability to work with people in different time zones.

Ability to operate in a fast-paced, evolving environment and appropriately prioritize tasks, and keep abreast of the latest technology.

Collaborate with cloud architecture, infrastructure team, project management team, and technology services, management team.

Create and maintain detailed documentation.

StrivePath is a fast-growing, premium college advisory firm serving high-achieving students nationwide. We combine structured long-term planning with admissions-level insight to guide families from early high school through applications.

We’re hiring a Senior Admissions Advisor with prior admissions committee experience at a nationally recognized or highly selective institution.

This is a part-time, remote role (evening availability preferred), with potential to expand over time.

⸻

What You’ll Do

• Lead initial strategy consultations with prospective families.

• Conduct brief follow-up clarification calls before contract decisions.

• Provide final “adcom-style” reviews of senior applications.

• Serve as a senior escalation and quality resource when needed.

You will not manage scheduling, contracts, or administrative follow-up — operations handles that.

⸻

Who You Are

• Former or current admissions committee member (file reader experience required).

• Experience evaluating applications at a competitive, holistic-review institution is required.

• Comfortable discussing holistic admissions strategy with discerning families.

• Clear, confident communicator with strong executive presence.

• Student-centered, ethical, and values-aligned.

• Interested in meaningful, flexible part-time advisory work.

Compensation is competitive and commensurate with experience.

To apply, please send your resume and a brief note outlining:

• Your admissions experience

• Your current availability

• Why this role appeals to you

Eximietas Design is a leading technology consulting and solutions development firm specialising in the VLSI, Cloud Computing, Cyber Security, and AI/ML domains. Our success is anchored in the unparalleled expertise of our engineering leadership team, whose collective experience spans renowned tech giants. With a commitment to innovation and excellence, we deliver cutting-edge solutions that empower businesses to thrive in the ever-evolving digital landscape.

Location: Bay Area, CA

Employment Type: Full-Time

Minimum Qualifications:

● Bachelor’s degree in computer science or electrical/Electronics Engineering

● Over 10 years of experience in Design Verification

● Strong understanding of design concepts and ASIC verification flow

● Proven experience in IP, Subsystem, and SoC verification

● Hands-on expertise with high-speed protocols and their controllers (PCIe/USB/DDR/ Ethernet/MIPI/UFS)

● Proficient in System Verilog and UVM coding

● Solid understanding of RAL (Register Abstraction Layer)

● Practical experience integrating third-party VIPs

● Excellent problem-solving, analytical, and debugging skills

● Mandatory exposure to at least one of the following: GLS, UPF, Performance Verification, Meta stability simulation, Boot-up (C–SV/UVM) handshakes and C testcase development

● Demonstrated capability in Subsystem testbench development and SoC-level verification

● Strong knowledge of AMBA protocols including AXI, APB, and AHB

● Hands-on experience with revision control systems such as Git, SVN, or Perforce

● Experience in a team lead role with responsibilities in guiding, mentoring, and ensuring effective collaboration across teams

As a Lead verification engineer candidate will be responsible to work at IP, Subsystem or

SoC verification-related tasks.

Responsibilities:

● Develop testbench components (Driver, Monitor, Scoreboard) from scratch or enhance an existing testbench for a given IP, Subsystem, or SOC.

● Understand design specifications and implementation to define the verification strategy.

● Create testbench micro-architecture, test plan, and coverage plan documents.

● Define the verification scope, develop test plans and tests, and establish the verification infrastructure to ensure design correctness.

● Implement System Verilog assertions and functional coverage.

● Analysed code coverage and address missing scenarios to meet coverage goals.

● Work with other verification team members to develop, execute, and analyse verification test cases and sequences, providing relevant solutions to issues.

● Collaborate with architects, designers, and pre- and post-silicon verification teams to meet deadlines.

● Coordinate with customer leads, ensuring all deliverables and timelines are met.

● Serve as the project's point of contact, responsible for verification signoff.

Apply/Refer -

Head of Operations and Manufacturing Ripple Medical | California (Hybrid or Remote) | Full-Time

ABOUT RIPPLE MEDICAL

Ripple Medical is a health tech company on a mission to revolutionize hypertension management with our cuffless blood pressure wearable. Once cleared by FDA, our product will enable patients to easily and accurately monitor blood pressure at home, empowering them and their providers with actionable data to improve outcomes. We're a collaborative, mission-driven team of 33 working in a medical device regulatory environment to bring this technology to the millions of patients who can benefit.

POSITION SUMMARY

The Head of Operations and Manufacturing will own the end-to-end operational infrastructure required to bring Ripple's FDA-regulated cuffless blood pressure monitor to market and scale production. This is a hands-on leadership role for someone who thrives building from zero to one in a regulated environment: selecting contract manufacturers, standing up supply chains compliant with FDA 21 CFR Part 820, establishing ISO 13485-certified quality management systems, and preparing for direct-to-patient fulfillment.

As a company preparing for 510(k) submission and commercial launch, this role is critical to ensuring we can reliably manufacture and deliver a high-quality, FDA-cleared medical device at scale. The ideal candidate brings deep experience in medical device manufacturing (particularly wearable or electro-optical devices), understands regulated hardware supply chains and design transfer, and can roll up their sleeves while building the team and processes for long-term growth.

This position reports directly to the CEO with high visibility to the leadership team and Board of Directors.

KEY RESPONSIBILITIES

Manufacturing & Production

• Lead selection and onboarding of contract manufacturing partners with Class II medical device experience, including RFQ, quality audits, contract negotiation, and ongoing management.
• Own design transfer and manufacturing transfer, working with engineering on DFM principles, Device Master Record (DMR) requirements, and production readiness.
• Establish production planning, forecasting, and capacity management for V&V builds, pilot production, and volume manufacturing.
• Drive continuous improvement in yield, quality, and cost while maintaining FDA and ISO compliance.
• Oversee pilot runs and scale-up, including process validation (IQ/OQ/PQ) and manufacturing controls.

Supply Chain & Procurement

• Build and manage the end-to-end supply chain, including component sourcing, supplier qualification, and inventory management per FDA purchasing controls.
• Develop supplier relationships and negotiate terms while ensuring supply continuity, traceability, and risk mitigation.
• Implement inventory planning to balance working capital with service levels, including buffer strategies for Year 1 launch.
• Monitor and mitigate supply chain risks: component shortages, single-source dependencies, geopolitical factors, and logistics disruptions.

Quality & Regulatory Compliance

• Maintain and improve the ISO 13485-certified QMS in partnership with the quality and regulatory team, ensuring FDA 21 CFR Part 820 compliance.
• Support 510(k) submission activities related to manufacturing, including process validation documentation, DMR development, and device history records (DHR).
• Define incoming inspection, in-process controls, and final product testing consistent with the risk management file.
• Manage product certifications for a Class II device, including FDA registration, UDI compliance, and applicable international requirements.
• Lead root cause analysis and CAPA for quality issues, ensuring post-market surveillance compliance.

Fulfillment & Logistics

• Design the direct-to-patient fulfillment strategy, including 3PL selection with FDA-cleared Class II device experience.
• Establish logistics and distribution for nationwide shipping of a regulated device with chain-of-custody and traceability.
• Develop returns, replacement, and warranty processes that balance patient experience, cost, and compliance.

Team & Organizational Development

• Start as an individual contributor who executes hands-on, then build and lead the operations team through 510(k) clearance and commercial launch.
• Establish operational metrics and dashboards for manufacturing, supply chain, and quality performance.
• Partner with finance on cost modeling, COGS optimization, and operational budgeting.
• Collaborate cross-functionally with engineering, software, regulatory, and commercial teams.

QUALIFICATIONS

• 7-12 years in manufacturing, operations, or supply chain, with 3-5+ years in medical devices (Class II preferred), wearables, or regulated hardware.
• Experience managing contract manufacturers for regulated medical devices, preferably in Asia and/or domestically.
• Experience at or with CMs/EMS providers (Flex, Jabil, Celestica, Plexus, Sanmina) in Class II medical device or wearable programs is a strong plus.
• Track record of design transfer and scaling production from pilot to volume for regulated products.
• ISO 13485 and FDA 21 CFR Part 820 experience required.
• Familiarity with the 510(k) process and manufacturing documentation (process validations, DMR/DHR) strongly preferred.
• Bachelor's in Engineering, Supply Chain, Operations, Biomedical Engineering, or related field; MBA or advanced degree a plus.
• Based in California or travel up to 25%.

COMPENSATION

• Base Salary: $160,000 - $210,000 USD
• Performance Bonus: Tied to company milestones and personal objectives
• Equity: Early-stage stock option grant with meaningful ownership
• 100% Employer-Paid Healthcare: Medical, dental, and vision
• Additional Benefits: 401(k) with company match, flexible PTO