Engineering Journal Jobs in Emerald Hills, CA

Staff Data Scientist – Sales Analytics

Location: San Francisco (Hybrid)

Salary: $200–250k base + RSUs

This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel.

About the Role

As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth.

Key Responsibilities

• Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections.
• Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates.
• Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives.
• Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects.
• Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions.
• Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting.
• Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations.

About You

• Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments.
• Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning.
• Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions.
• Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy.
• Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams.
• Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

Staff Data Scientist – Post Sales

Location: San Francisco (Hybrid)

Salary: $200–250k base + RSUs

This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re expanding our data science organization to accelerate customer success after the initial sale—driving onboarding, retention, expansion, and long-term revenue growth.

About the Role

As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention.

Key Responsibilities

• Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring.
• Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value.
• Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion.
• Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn.
• Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals.
• Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.
• Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions.

About You

• Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment.
• Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning.
• Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring.
• Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy.
• Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders.
• Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

We are seeking a seasoned Technical Project Manager with 7+ years of experience leading complex, cross-functional IT initiatives within infrastructure and cybersecurity domains. This role will drive large-scale programs across enterprise infrastructure, cloud transformation, network modernization, identity & access management (IAM), and security operations.

The ideal candidate combines strong technical acumen with disciplined program governance, enabling the successful delivery of secure, scalable, and resilient enterprise solutions.

You will partner with Engineering, Security, IT Operations, Architecture, and Business stakeholders to lead end-to-end execution — from strategy and design through deployment and operational handoff — ensuring alignment to security standards, compliance requirements, and enterprise architecture principles.

Key Responsibilities

• Lead enterprise-scale infrastructure and cybersecurity programs across multiple geographies
• Drive end-to-end project lifecycle: intake, chartering, design reviews, risk assessment, implementation, and post-go-live stabilization
• Partner with Security (IAM, SOC, GRC), Cloud, Network, and Infrastructure teams to deliver secure and compliant solutions

Establish governance frameworks including:

• Project charters
• Risk registers
• RAID logs
• Milestone tracking
• Executive dashboards
• Manage cross-functional dependencies across IT, Security, Engineering, Legal, Compliance, and Business units
• Ensure alignment with enterprise security controls, regulatory requirements (e.g., SOX, GDPR, data protection policies), and audit readiness
• Drive SLA and KPI definition, tracking, and reporting
• Proactively identify risks and implement mitigation strategies to prevent security, operational, or compliance gaps
• Lead escalation management and executive-level communication
• Facilitate war rooms, incident coordination, and remediation tracking when required
• Ensure operational readiness including documentation, training, and transition to support teams

Required Qualifications

• 7+ years of experience managing IT infrastructure and/or cybersecurity programs
• Strong knowledge of enterprise infrastructure environments and cybersecurity including Cloud platforms (AWS/Azure/GCP), Network architecture (SD-WAN, firewalls, VPNs, segmentation), Identity & Access Management (Okta, SailPoint, AD), Cloud security posture improvements
• Strong understanding of SDLC and secure development practices
• Proven ability to manage large cross-functional teams across regions
• Experience defining and tracking KPIs, SLAs, and executive reporting metrics
• Strong risk management and issue resolution capabilities
• Ability to translate technical complexity into clear executive-level updates
• Experience with JIRA, Confluence, Smartsheet, ServiceNow, and Microsoft Suite
• Excellent written and verbal communication skills

Company Description

Whissle is bridging the missing link in multi-modal AI. We are moving beyond the slow, broken "turn-based" experience of current AI solutions to pioneer Streaming Intelligence. Our platform continuously interprets meaning from live multi-modal input streams (voice, text, visual) to trigger instant, contextual actions and achieve faster task completion. This zero-wait, real-time approach creates a hands-free, hyper-personalized, and ambient interaction experience.

Role Description

As the VP of Product, Streaming Intelligence, you will be the definitive product owner and strategist for Whissle's core technology and APIs. Your mission is to define, prioritize, and drive the execution of a product roadmap that capitalizes on our Streaming Intelligence differentiator.

You will work closely with the CEO, the AI/ML, and Software Engineering teams to transform our advanced models into scalable enterprise solutions.

Product Strategy & Vision

• Own the Streaming Intelligence Vision: Define the long-term product strategy on Advanced Streaming Intelligence for speech, text, and visual input streams.
• Platform Roadmap Leadership: Develop and execute the product roadmap for the Intelligence-API and the Ambient-BOT platform components.
• Monetization & Market Expansion: Identify and prioritize the next categories of consumer and enterprise applications—from hyper-personalized search to audio-visual NPC controls—that can be enabled and monetized by our zero-wait technology.

Enterprise & Execution

• Drive Enterprise Deployment: Oversee the productization and successful deployment of the platform for major enterprise clients, directly contributing to company goals.
• Domain Adapter Strategy: Guide the development of domain adapters (e.g., HR, CX, e-commerce) to facilitate specialized enterprise use cases.
• Security & Compliance as a Feature: Ensure all products meet high standards for security, data privacy, and compliance (e.g., SOC2/HIPAA), productizing features like real-time redaction and non-storage of sensitive information transmission.

Leadership and GTM

• Guide the Part-Time PM: Work in partnership with the existing Product Manager to ensure tactical execution, including the launch of the Whissle App v1 and successful paid pilot programs.
• Market Leadership: Analyze competitor activities (e.g., turn-based systems like ChatGPT, Gemini, Perplexity) and use these insights to solidify Whissle's differentiated market positioning.

Qualifications

• 10+ Years of Product Leadership experience, with a proven track record of bringing highly technical B2B/Enterprise products to market.
• Deep Technical Expertise in AI/ML, particularly in the areas of speech, language processing, signal processing, or multi-modal AI.
• Exceptional Strategic Planning skills, with prior experience scaling a product which needs real-time intelligence, broad technology skills and experience.
• Strong Business Acumen in SaaS, enterprise licensing, and API revenue models.
• Bachelor's degree in Business, Computer Science, Engineering, or a related field; a Master's or PhD is a strong plus (especially given the team's academic background).
• Experience with building startups will be preferred

Compensation

We are on-boarding visionary leadership on equity basis before we raise suitable money from investors in the loop.

Location: Palo Alto, CA

Employment Type: Full-Time

Salary Range: $100,000–$160,000 annually (depending on experience)

Industry: Commercial & Industrial Electrical Contracting

About the Role

We are seeking a seasoned Electrical Construction Project Manager to lead and oversee complex commercial and industrial electrical projects throughout the Bay Area. This role demands a proactive leader with deep technical knowledge, strong client-facing skills, and the ability to manage multiple projects from pre-construction through closeout.

Key Responsibilities

• Project Oversight: Manage all phases of electrical construction projects, including planning, budgeting, scheduling, procurement, and execution.
• Team Leadership: Supervise field crews, foremen, and subcontractors to ensure safety, quality, and productivity.
• Client Relations: Serve as the primary point of contact for clients, architects, engineers, and inspectors.
• Estimating & Bidding: Collaborate with estimators to develop competitive bids and value-engineered solutions.
• Compliance & Safety: Ensure adherence to NEC, OSHA, and local building codes.
• Documentation: Maintain accurate project records, RFIs, change orders, and progress reports.

Qualifications

• Experience: 7+ years in electrical construction project management, preferably in commercial or industrial sectors.
• Education: Bachelor’s degree in Electrical Engineering, Construction Management, or related field preferred.
• Certifications: OSHA 30, PMP, or equivalent credentials are a plus.
• Technical Skills: Proficiency in project management software (e.g., Procore, Bluebeam, MS Project).
• Knowledge Base: Strong understanding of electrical systems, blueprints, and construction sequencing.
• Soft Skills: Excellent communication, leadership, and problem-solving abilities.

What We Offer

• Competitive compensation up to $160K and performance-based bonuses
• Health, dental, and vision insurance
• 401(k) with company match
• Paid time off and holidays
• Career development and training opportunities
• A collaborative, growth-oriented company culture

Electrical Engineer - Data Centers - San Francisco

Metric DCX are partnered with a global engineering and consultancy firm to support the continued growth of their data center division.

This Electrical Engineer position will specialize in data center facility design to be embedded directly with a major end-user client.

Responsibilities:

• Assessing third-party and colocation facilities being considered for acquisition, evaluating their suitability against the client's portfolio requirements.
• Taking ownership of power systems across all project phases, identifying and resolving issues as they arise in collaboration with the relevant client stakeholders.
• Reviewing data center designs with a critical eye on redundancy architecture, availability targets, and potential single points of failure.
• Working closely with operations, planning, and energy strategy teams to push electrical solutions forward on third-party data center projects.
• Conducting technical due diligence and maintaining quality standards in line with client expectations.
• Keeping internal documentation, specs, and standards current based on live project feedback and lessons learned.
• Liaising with internal teams on power loading, rack deployment, and load balancing within shared facilities.
• Contributing to cross-discipline coordination with mechanical and controls engineers, and supporting consistency across regional teams.

Background Required

• Degree-qualified in Electrical Engineering; a postgraduate qualification or PE license would be a strong advantage.
• At least five years working within mission-critical environments, with solid hands-on exposure to colocation and multi-tenant data center projects specifically.
• Confident in power systems analysis and the software tools that come with it.
• Practical experience across the full electrical distribution stack — from high voltage transformers down to branch circuits — covering design, procurement, commissioning, and operations.
• Comfortable working across disciplines and engaging with structural, mechanical, civil, and IT/Telecom teams as needed.
• Grounded in US electrical codes and standards, with some awareness of IEC standards beneficial.

Role: Engagement Manager– Digital Health Experience

Location: Remote (U.S.)

Duration: 6-Month Contract

Working Time Zone: PST (Pacific Time Zone)

Position Overview

We are seeking a Engagement Manager– Digital Health Experience to lead the deployment, adoption, and engagement optimization of mobile digital health applications within the U.S. healthcare ecosystem. This role requires a hands-on professional with strong experience in launching digital health platforms, managing deployments, and driving sustained patient engagement through data-driven engagement strategies.

The ideal candidate will have experience deploying consumer-facing healthcare applications used by patients across providers and payer organizations, while leveraging engagement tools and analytics platforms to improve patient adoption, retention, and usage metrics such as DAU/MAU.

This role will work closely with product, engineering, digital marketing, and care management teams to ensure successful rollout of mobile applications and to design engagement loops that increase patient participation and long-term platform usage.

Key Responsibilities

• Lead deployment and rollout of mobile digital health applications across healthcare provider or payer environments.
• Manage end-to-end implementation and project management of digital health platforms, ensuring successful launches and smooth adoption by patient populations.
• Design and implement patient engagement strategies and engagement loops to drive consistent application usage and retention.
• Utilize engagement platforms such as , Intercom, Mixpanel, or similar tools to design communication workflows, patient messaging, and engagement campaigns.
• Monitor and optimize digital engagement metrics, including DAU, MAU, retention rates, and user engagement trends.
• Analyze user behavior data and analytics to improve patient onboarding, engagement journeys, and digital experience.
• Collaborate with product, analytics, and engineering teams to continuously enhance patient engagement features and workflows.
• Coordinate with healthcare stakeholders to ensure digital tools align with clinical workflows and patient care programs.

Required Qualifications

• Strong experience in deploying and managing digital health applications within healthcare provider or payer environments.
• Hands-on experience in project management and platform implementation for consumer-facing digital products.
• Experience driving user engagement, retention, and adoption for mobile or digital applications.
• Familiarity with engagement platforms such as , Intercom, Mixpanel, or similar customer engagement and analytics tools.
• Experience tracking and optimizing digital engagement metrics such as DAU, MAU, retention, and user lifecycle engagement.
• Strong analytical and problem-solving skills with the ability to translate data insights into engagement improvements.

Preferred Qualifications

• Experience working within digital health, healthcare technology, or healthcare consumer platforms.
• Familiarity with healthcare ecosystems including provider systems, payer platforms, and patient engagement solutions.
• Experience integrating engagement tools with mobile health applications or digital health platforms.
• Background working with health systems, health plans, digital health startups, or healthcare technology consulting firms.

Position Summary

This position is responsible for managing a project team for a single large complex project or multiple smaller projects, including providing coaching and performance feedback. In addition, this role serves as the primary point of contact for the project.

Position Details

• Develops client relationships by providing project status updates to client and leadership
• Partners with management to develop and implement project strategies.
• Manage budget reports, cost and revenue projections, change orders, etc. for project.
• Participates in project meetings with internal departments to discuss project schedule and issues as needed.
• Partners with stakeholders to ensure scope and direction of project is on schedule.
• Delegates work and serves as mentor to project team. Provides coaching and performance feedback as necessary.

Qualifications

• Expert knowledge of applicable systems design, such as HVAC, plumbing, etc., as well as all design engineering aspect
• Excellent verbal and written communication skills and ability to communication with all levels of employees, clients and general contractors
• Proven ability to manage multiple larger complex projects
• Strong public speaking ability
• Ability to present proposals to clients
• Strong computer skills, including ERP and Microsoft Office Products, such as Excel
• Four-year degree in Engineering, or applicable experience
• Minimum 7 years' experience

Location: San Mateo, CA (hybrid 2 days onsite a week)

AI System Development

• Search & Recommendation Systems: Lead the design and implementation of advanced Search, Ranking, and Recommendation systems to help customers navigate millions of technical products.
• Doc Extraction & NLP: Develop high-precision NLP and document extraction pipelines to digitize and structure complex construction data from unstructured sources.
• Advanced Architecture: Research and implement novel deep learning architectures, focusing on hybrid retrieval models and fine-tuned LLMs.
• Production Deployment: Develop, train, and deploy deep learning and machine learning models that are scalable, extensible, and integrated into production environments.
• Agentic Workflows: Architect autonomous or semi-autonomous agents that can plan and execute multi-step discovery tasks.

Full Product Lifecycle Participation

• Technical Leadership: Collaborate with product managers and UX designers to integrate AI components into fully functional systems, providing technical guidance on feasibility and architecture.
• End-to-End Ownership: Participate in the complete product lifecycle—from concept design to development, integration, testing, and deployment.

Scalable Solutions

• High-Volume Data: Build products that handle large data volumes efficiently while remaining highly scalable for onboarding new clients.
• Pipeline Design: Design complete end-to-end data and ML pipelines, ensuring seamless integration and monitoring in production.

Research & Collaboration

• R&D Initiatives: Work closely with the leadership team on research efforts to explore cutting-edge technologies, such as vector databases and embedding-based retrieval.
• Excellence Standards: Uphold a culture of engineering excellence by maintaining high standards in code quality, documentation, and innovation

Minimum Qualifications

• Education: Bachelor’s or Master’s degree (PhD preferred) in Science or Engineering with strong programming and analytical skills.
• ML Expertise: Strong conceptual understanding of machine learning principles, specifically in NLP, Search, or Ranking.
• Technical Skills: Hands-on experience implementing ML projects in Python using libraries like NumPy, scikit-learn, and pandas.
• Deep Learning: Proficiency in training and fine-tuning deep learning models using PyTorch or TensorFlow.
• Leadership: Proven ability to lead technical initiatives from concept to operation while navigating complex challenges.

Preferred Qualifications

• Specialized Infrastructure: Deep experience with Vector Databases (e.g., Pinecone, Milvus) and optimizing embedding models for retrieval.
• Fine-tuning: Experience fine-tuning LLMs for specialized domain tasks and ranking signals.
• AI Agent Orchestration: Hands-on experience with agentic frameworks (e.g., LangGraph, AutoGen, or CrewAI) for building complex, multi-step reasoning chains.
• Planning & Memory: Experience implementing agentic "memory" (long-term/short-term) and planning strategies (like ReAct or Tree of Thoughts).
• Data Structures: Expert knowledge of algorithms and data structures.
• Research & Community: A track record of publications in top-tier conferences (e.g., NeurIPS, SIGIR, KDD, ACL) or significant contributions to open-source ML projects.

Galvanize Therapeutics is a biomedical platform company operating at the convergence of engineering, biology, and healthcare delivery, aiming to deliver life-changing solutions to patients and their doctors. We design and develop Pulsed Electric Field Systems to achieve meaningful and lasting therapeutic outcomes for patients.

The Post Market Surveillance Analyst will aid in the continued maintenance and improvement of the Post-Market Surveillance program at Galvanize Therapeutics, specifically the complaint handling system. Work cross-functionally to ensure the complaints and Post-Market Surveillance program continues to function properly and efficiently.

Key Responsibilities

Oversee the complaint handling process, including but not limited to MDR reporting, tracking and trending of complaints, and general oversight of individual complaint investigations. Maintain the PMS plans and reports as necessary.

• Oversee complaint handling with Customer Service, including but not limited to determining

reportability of complaints and overall complaint investigation oversight, review and closure.

• Support Regulatory in reporting of MDRs to appropriate authorities.

• Maintain and improve the complaint tracking and trending process for all Products.

• Collect and analyze data necessary for routine reports and updates to executive leadership.

• Monitor applicable standards updates and help update documents accordingly.

• Support Regulatory and Quality with internal and external audits.

Key Requirements

Education and Training: Bachelor's degree in science, math, or engineering preferred.

Skills and Experience: Organized and motivated team player with proficiency in PowerBI, Microsoft Word and Excel. Minimum of 3-5 years' experience in Quality or Regulatory affairs at a Medical Device company or similar industry. Experience with complaint handling and root cause investigations for disposables and/or capital equipment preferred.

Other: Hybrid work options available but must be available to work in the office 2-3 days/week.

Position Reports To: Sr. Manager, Post-Market Surveillance