Engineering Jobs in Moss Beach, CA

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.

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.

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.

Enterprise Account Executive

Compensation: (Base + Commission)

Location: San Francisco Bay Area, CA (onsite – 5 days a week)

Type: Full-time

About the Company

Our client is a rapidly scaling Insurtech platform transforming the workflow processes for Insurance agencies.

The Role

As the Enterprise Account Executive, you’ll own the enterprise sales strategy and execution as the company scales from early-stage traction to major market adoption. Reporting directly to the Head of Sales, you’ll lead strategic enterprise deals end-to-end.

Key Responsibilities

• Deal Execution: Manage complex sales cycles from initial engagement to close, collaborating closely with technical and executive stakeholders.
• Strategic Account Development: Drive ABM strategies, build executive relationships, and create scalable frameworks for expansion and retention.
• Revenue Operations: Implement CRM and data-driven tools to streamline forecasting, reporting, and pipeline management.
• Executive Collaboration: Work directly with the leadership team to refine GTM strategy and drive revenue growth across enterprise and strategic accounts.

Ideal Background

• 7+ years of enterprise SaaS sales experience, ideally in high-growth or AI/automation companies.
• Proven success scaling revenue from early-stage to $30M+ ARR environments.
• Track record of closing complex, multi-stakeholder enterprise deals.
• Consultative, solution-oriented sales approach (MEDDICC or similar framework preferred).
• Strong business acumen and ability to collaborate across product, engineering, and GTM functions.
• High ownership mindset — thrives in fast-paced, founder-led environments.

Interview Process

• Intro Call (20 min): Conversation with Head of Sales
• Skills Round (45 min): Deep dives into sales background, deal qualification, executive communication examples and a live product-selling exercise.
• In-Person Session (3-5 hrs): Deep dive with founders and GTM team.
• Offer: Extended to selected finalist.

Quadric has created an innovative software driven AI inference processor. Licensed as IP, the architecture is targeted to run neural network (NN) inference workloads in a wide variety of edge and endpoint devices, ranging from battery operated smart-sensor systems to high-performance automotive or autonomous vehicle systems. Unlike other neural engines in the industry today that can only accelerate a portion of a machine learning graph, the Quadric GPNPU executes both NN graph code and conventional C++ DSP and control code.

What We Value: Integrity, Humility, Happiness

What We Expect: Initiative, Collaboration, Completion

As the Chief Financial Officer, you will work with the CEO to chart out our path from post-Series C to IPO.

• Provide competitive salaries and meaningful equity
• Health Care Plan (Medical, Dental & Vision)
• Retirement Plan (401k, IRA)
• Life Insurance (Basic, Voluntary & AD&D)
• Paid Time Off (Vacation, Sick & Public Holidays)
• Family Leave (Maternity, Paternity)

Founded in 2016 and based in downtown Burlingame, California, Quadric is building the world’s first supercomputer designed for the real-time needs of edge devices. Quadric aims to empower developers in every industry with superpowers to create tomorrow’s technology, today. The company was co-founded by technologists from MIT and Carnegie Mellon, who were previously the technical co-founders of the Bitcoin computing company 21.

• Quadric is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, religion, sex, national origin, sexual orientation, age, citizenship, marital status, or disability.

Xona is the navigational intelligence company bringing real-time, centimeter-level certainty to any device, anywhere on Earth.

With Pulsar – the world’s most advanced PNT satellite infrastructure in Low Earth Orbit – Xona will offer a future-proof, backwards-compatible global positioning system optimized for absolute precision, superior power, and robust protection.

The CFO will be a strategic and operational partner to the CEO and executive team, responsible for leading Xona’s financial strategy, execution, and infrastructure. This role blends high-level financial leadership with hands-on ownership across accounting, FP&A, fundraising support, compliance, and systems.

You’ll play a critical role in capital strategy, operational planning, and ensuring financial rigor as Xona scales its satellite constellation, manufacturing, and commercial operations.

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• Partner closely with the CEO and Board to define and execute Xona’s financial strategy
  
• Provide clear financial insights to support business decisions, growth initiatives, and long-term planning
  
• Serve as a trusted advisor to the executive team on budgeting, forecasting, and trade-off decisions
  
• Own company-wide budgeting, forecasting, and long-range financial planning
  
• Build and maintain operating models supporting R&D, manufacturing, and deployment programs
  
• Track KPIs and financial performance, highlighting risks, opportunities, and corrective actions
  
• Oversee accounting operations including monthly close, financial statements, and audits
  
• Ensure strong internal controls and compliance with GAAP and regulatory requirements
  
• Manage relationships with external auditors, tax advisors, and banking partners
  
• Support equity and debt fundraising, including investor materials, data rooms, and diligence
  
• Partner with the CEO on capital planning, runway management, and scenario modeling
  
• Build and scale financial systems, tools, and processes to support company growth
  
• Oversee ERP, accounting software, and reporting infrastructure
  
• Drive process improvements that balance financial rigor with startup agility
  
• Build and lead a high-performing finance team over time
  
• Work cross-functionally with Engineering, Operations, Manufacturing, Legal, and HR
  
• Support contract review, pricing strategy, and vendor negotiations as needed
  

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• 10+ years of progressive finance leadership experience (CFO, VP Finance, or equivalent senior role)
  
• Proven experience operating in a fast-paced startup or scale-up environment
  
• Strong expertise across FP&A, accounting, and financial operations
  
• Experience supporting venture capital fundraising and Board-level financial reporting
  
• Hands‑on, detail‑oriented leader willing to dive in where needed
  
• Ability to communicate clearly with both technical and non‑technical stakeholders
  
• Strong judgment, analytical rigor, and ability to drive decisions under ambiguity
  

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• Experience in aerospace, space, defense, hardware, or other capital‑intensive technical environments
  
• Experience supporting government customers, grants, or regulated contracts
  
• Familiarity with manufacturing cost models and hardware program economics
  
• Experience scaling finance teams and systems from early‑stage to growth‑stage
  
• Exposure to ERP implementation or financial systems build‑out
  
• CPA, CFA, and/or MBA (preferred but not required)
  

To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States (i.e. Green Card holder), or other protected individual as defined by 8 U.S.C. 1324b(a)(3).

To comply with U.K. regulations, this role requires Baseline Personnel Security Standard (BPSS) checks, and successful candidates must be eligible to obtain UK Security Clearance (SC).

Successful candidates must obtain and hold a security clearance at the reliability status level, and pass security assessment for the Canadian Controlled Goods Program (CGP) and ITAR.

We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.