Engineering Village Jobs in Freestone California

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.

Position Overview

The Water/Wastewater Estimator will be responsible for preparing accurate and competitive cost estimates for heavy civil infrastructure projects. This role requires strong analytical skills, in-depth knowledge of water and wastewater construction, and the ability to collaborate effectively with project managers, engineers, subcontractors, and suppliers.

Key Responsibilities

• Analyze plans, specifications, geotechnical reports, and contract documents for water and wastewater infrastructure projects
• Prepare detailed quantity takeoffs and cost estimates for treatment plants, pipelines, pump stations, and related facilities
• Solicit and evaluate subcontractor and supplier quotes
• Develop conceptual and hard-bid estimates
• Identify project risks and value engineering opportunities
• Participate in pre-bid meetings and site visits
• Maintain organized bid documentation and estimating databases
• Support project handoff to operations team upon award

Qualifications

• 5+ years of estimating experience in water/wastewater or heavy civil construction
• Strong knowledge of treatment plant construction, underground utilities, mechanical piping, and concrete structures
• Proficiency with estimating software (e.g., HCSS HeavyBid, Bluebeam, PlanSwift, or similar)
• Ability to read and interpret civil, structural, and mechanical drawings
• Strong Excel skills
• Excellent communication and organizational abilities
• Bachelor's degree in Construction Management, Civil Engineering, or related field preferred (or equivalent experience)

What We Offer

• Competitive salary based on experience
• Performance-based bonus opportunities
• Comprehensive health, dental, and vision insurance
• 401(k) with company match
• Paid time off and holidays
• Career growth opportunities within a rapidly expanding infrastructure market

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.

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.

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.

Presales Solution Architect – US

Series AI Start-up - AI/ML

Location: San Francisco Bay Area (Hybrid)

Salary: Market-leading salary package + stock + benefits

The Role

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

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

What You'll Do & Achieve

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

Who You Are

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

Follow Scout Global for more roles like this

Senior Project Manager – Environmental & Infrastructure Projects

Join a mission-driven construction firm with a strong track record in environmental solutions and infrastructure development. This opportunity is ideal for a seasoned project leader who thrives in complex, technical environments and is ready to take ownership of impactful projects from start to finish.

What You'll Do:

As a Senior Project Manager, you'll oversee all phases of environmental and infrastructure construction projects—from planning to final execution. You'll be responsible for managing schedules, budgets, resources, and communications while ensuring work is completed safely, on time, and in compliance with regulatory standards. You'll coordinate closely with internal teams, clients, subcontractors, and regulatory agencies to keep projects moving and aligned with client expectations.

Your day-to-day will include:

• Leading project planning, budgeting, and scheduling
• Overseeing field operations, inspections, and logistics
• Managing teams and subcontractors across multiple job sites
• Monitoring compliance with environmental, safety, and quality standards
• Reporting on progress and resolving project challenges in real time

What You'll Bring

• Proven experience managing complex construction or environmental remediation projects
• Strong knowledge of project planning, logistics, and permitting processes
• Hands-on experience with inspections, safety protocols, and quality control
• Excellent communication and stakeholder management skills
• Bachelor's degree in Construction Management, Civil Engineering, Environmental Science, or related field
• Familiarity with project management tools and software
• A proactive, detail-oriented mindset with strong leadership capabilities

Lawrence Harvey has been engaged by a technology company developing AI-driven software for large-scale industrial construction projects in a position that is critical to commercializing a portfolio of intelligent workflow tools embedded directly into real-world operations.

They are looking for a Product Manager who will own the end-to-end lifecycle of multiple AI agents, from discovery and rapid prototyping through pilot validation and scaled deployment. This individual will work closely with engineering and field stakeholders to map real workflows, define product direction, and merge a portfolio of agents into a cohesive commercial offering.

The successful candidate will be joining a highly technical, fast-paced, and collaborative team operating in a hands-on discovery environment and will play a key role in shaping how AI is applied to complex construction programs.

This is an opportunity to join a technology-driven organization in a role that offers true ownership, measurable impact, and direct exposure to executive leadership while building products that improve how large industrial projects are planned and executed.

The Ideal Candidate has:

• 4+ years of Product Management experience delivering B2B software from discovery through launch and iteration

• Experience building workflow-driven software tools, ideally within construction, EPC, infrastructure, or industrial environments

• Strong ability to translate operational processes into clear product artifacts, roadmaps, and measurable success metrics

• Exposure to AI, automation, enterprise integrations, or systems-of-record environments is a plus

If this aligns well with your experience, please feel free to APPLY NOW

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

Company Description

Savor is a venture-backed startup pursuing transformational technology to produce highquality, healthy and affordable fats without negative climate impact or cruelty to animals. Our deeply technical company is taking an absolute swing for the fences in the climate fight and are looking for someone who shares our passion for the mission.

Role Description

We are seeking a senior level Product Manager to help drive Savor's product development, primarily based in San Jose, CA. In this role, you will join our world-class technical team to develop the new class of products we're bringing to market and have the opportunity to be part of creating and growing our values-first, mission-driven company.

Responsibilities

• Manage the lifecycle of Savor's product portfolio by defining new product needs statements, specifications, and ensuring change management for existing products
• Consolidate and analyze customer feedback to identify key product development opportunities and technology gaps
• Support the development and execution of Savor's product roadmap by translating customer insights into actionable internal development initiatives, balancing technology and business needs
• Develop compelling external-facing technical materials that effectively communicate Savor's product performance advantages to partners
• Facilitate cross-team coordination on development activities in product stage gate process

Qualifications/Skills

• Bachelor's degree in Chemistry, Materials Science, Chemical Engineering, or related technical field; advanced degree preferred
• Minimum of 5-7 years of experience within a hard tech company, preferably in a product management role. Background in specialty chemicals is a plus.
• In-depth knowledge of the product development lifecycle, including the challenges and opportunities associated with scaling from R&D to commercial production.
• Excellent documentation and communication skills
• Data-driven and structured approach to problem solving

If there are items under the "Qualification/Skills" section that you are working towards or would like to pursue, we still encourage you to apply. Our promise is that a real person will review your application!

Working Conditions

• Office environment

Logistics

We offer competitive compensation and benefits. Our current HQ is located in San Jose, CA. This is a hybrid position, requiring 2-3 days per week in office, so you will need to be able to commute to our office or be willing to relocate. Occasional travel (approximately 10-20% annually) may be required for customer meetings, partner site visits, or industry conferences.

We are an Equal Opportunity Employer - we do not discriminate in hiring, promotions, or any other way on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor.

Contact with your resume/CV if you are interested in learning more about this opportunity.