Engineering Jobs in Echo Park California

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About This Role:

Crusoe Energy is seeking a Portfolio Schedule Manager, Project Controls to provide leadership and governance across scheduling for large-scale, complex capital programs, including hyperscale data center projects. This role operates at the portfolio level, ensuring schedule integrity, consistency, and transparency across multiple concurrent projects.

The Portfolio Schedule Manager will establish and enforce scheduling standards, integrate execution schedules with cost insights, and deliver clear, actionable reporting to senior leadership and Crusoe clients. This role is ideal for a seasoned project controls professional who brings deep scheduling expertise, strong leadership skills, and the ability to connect schedule performance to broader program and financial outcomes.

What you’ll be working on:

• Lead portfolio-level construction scheduling and project controls across multiple large infrastructure or hyperscale data center projects
• Establish, enforce, and continuously improve minimum scheduling standards, including schedule structure, coding, progress measurement, update cadence, and reporting
• Own portfolio schedule reporting, clearly communicating schedule health, forecasted milestones, critical path impacts, and overall delivery risk to leadership and clients
• Integrate schedule and cost insights to highlight schedule-driven cost risks, acceleration impacts, and downstream financial implications
• Oversee and support onsite and regional scheduling services teams, providing direction, quality assurance, escalation support, and alignment to portfolio standards
• Bridge execution schedules with baseline planning assumptions by partnering closely with Preconstruction to ensure continuity from planning through delivery
• Own the onboarding and transition of schedules from Preconstruction into active project delivery, ensuring alignment with general contractors and key vendors
• Collaborate with consultants, Preconstruction, Construction, general contractors, and OFE vendors to integrate contractor schedules into a unified, program-level schedule
• Support data-driven decision-making by providing timely, accurate schedule insights across the portfolio

What you’ll bring to the team:

• Bachelor’s degree in Engineering, Construction Management, or a related technical discipline
• 12+ years of experience in construction scheduling and project controls for large infrastructure, hyperscale data center, or complex capital programs
• Advanced scheduling expertise; Primavera P6 proficiency and/or advanced scheduling certifications strongly preferred
• Proven experience establishing and enforcing scheduling standards across multi-project portfolios
• Strong ability to assess schedule health, critical path impacts, and milestone risk at both project and portfolio levels
• Experience integrating schedule and cost data to inform leadership decisions
• Demonstrated leadership managing and guiding scheduling teams and external service providers
• Strong communication skills with the ability to present complex schedule information clearly to senior stakeholders and clients

Benefits:

• Industry competitive pay
• Restricted Stock Units in a fast growing, well-funded technology company
• Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
• Employer contributions to HSA accounts
• Paid parental leave
• Paid life insurance, short-term and long-term disability
• Teladoc
• 401(k) with a 100% match up to 4% of salary
• Generous paid time off and holiday schedule
• Cell phone reimbursement
• Tuition reimbursement
• Subscription to the Calm app
• MetLife Legal
• Company paid commuter benefit; $50 per pay period

Compensation Range:

Compensation will be paid in the range of $180,000 – $225,000. Restricted Stock Units are included in all offers. Compensation will be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

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Data Scientist Everfit | Hybrid, San Francisco Bay Area

About Everfit

Everfit is a fitness technology company building an AI-powered coaching platform that serves 280,000+ coaches and millions of training clients globally. We're transforming how fitness professionals deliver personalized training and nutrition guidance to their clients through intelligent automation and data-driven insights.

About the Role

We're looking for a senior data scientist who is passionate about fitness and energized by turning data into actionable insights that help coaches and their clients succeed. You'll play a critical role in understanding user behavior, product performance, and business metrics to inform strategic decisions as we scale our platform.

What You'll Do

Product Analytics & User Insights

• Define and track key product metrics (activation, engagement, retention, churn) to measure product health and success.
• Conduct cohort, funnel, and retention analyses to uncover behavioral insights and inform feature prioritization.
• Identify opportunities to improve onboarding, engagement, and coach–client interactions.

Experimentation & A/B Testing

• Own the experimentation framework and guide teams through hypothesis design, sample sizing, execution, and interpretation.

Strategic Impact & Roadmapping

• Collaborate with leadership to translate data insights into roadmap priorities and measurable business outcomes.
• Build predictive models and scenario analyses to support forecasting, pricing, and product investment decisions.
• Establish best practices in data instrumentation, dashboarding, and self-serve analytics across teams.

Technical Foundations

• Partner with data engineering to improve pipelines and instrumentation.
• Leverage tools such as SQL, Python/R, data visualization platforms, and experimentation platforms.

Marketing Analytics & Optimization

• Analyze customer acquisition funnels and marketing performance to identify high-impact opportunities for growth and conversion.
• Partner with marketing and growth teams to design and evaluate campaign experiments

What We're Looking For

• 4-6 years of experience in a data analyst or analytics role, preferably at a growth-stage tech company
• Strong proficiency in SQL and experience setting up data pipelines, transforming data, and analyzing large datasets
• Deep experience with creating dashboards and providing analysis on product analytics and data visualization tools (Amplitude, Looker, Tableau, Mode, or similar)
• Understanding of SaaS metrics and cohort analysis
• Experience with translating numerical findings into clear insights for non-technical team members
• Genuine passion for fitness, health, or wellness (we build for coaches so you need to understand their world)

Bonus Points:

• Experience with Python or R for statistical analysis
• Experience in a PLG (Product-Led Growth) environment
• Experience working at a company during a hypergrowth phase
• Background in fitness, health, wellness, or coaching industries

You'll thrive here if you:

• Are naturally curious and love asking "why" until you find the answer
• Are excited by fast-paced, high-growth environments with a passion for building out systems for scaling
• Enjoy collaborating with global teams and making complex topics understandable
• Are comfortable with ambiguity and can structure your own work
• Care deeply about the impact your insights have on real coaches and their clients

Why Join Everfit

• Establish the foundations for Fitness Intelligence and help shape the future of coaching for millions around the world
• Work with autonomy and ownership on high-impact projects
• Join a collaborative, global team with experience from leading tech and fitness companies
• Enjoy competitive salary, equity, and performance bonuses
• Build something meaningful that helps people live better, healthier lives

Everfit is an equal opportunity employer committed to building a diverse and inclusive team. We make employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected status.

Ready to dive into data in the fitness intelligence space? We'd love to hear from you.

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.

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

This is not a feature-factory PM role.

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

Who we’re looking for

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

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

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

What you’ll do

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

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

Comp

$150K–$200K

0.3–0.8% equity

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

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.

Job Title: Test Lead

Location: Mountain View, CA

Job Type: Full-Time

Job Description:

Qualification: B. Tech/MTech (Electronics & Communication Engineering)

1) Min 10 yrs experience in Automotive test development and testing with min 2 yrs in the infotainment and/or telematics domain

2) Test automation and testing of IVI interfaces at least 2 of the following: Serialize-based high-resolution Displays, Ethernet, Tuner, Wi-Fi, BT, V2X, LTE, GNSS, and Audio.

3) DVP&R preparation, DV testing

Skills:

1) Min 10 yrs experience in Automotive test development and testing with min 2 yrs in the infotainment and/or telematics domain

2) Test automation and testing of IVI interfaces of at least 2 of the following: serialize-based high resolution Displays, Ethernet, Tuner, Wi-Fi, BT, V2X, LTE, GNSS, and audio

3) DVP&R preparation, DV testing

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.

Project Superintendent – Commercial Construction

Location: San Francisco, California

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

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

About the Role

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

Requirements

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

Perks & Benefits

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

To Apply: Send your resume to

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

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.