Information Technology Jobs in Millbrae, CA

This position is for individuals who want to develop a side income stream while still working full time. You will test different small-scale remote opportunities, learn what works, and grow what produces results.

You’ll use the resources provided to guide you, but your path is self-driven. Over time, you might focus more on the hustles that bring the highest returns.

Responsibilities:

• Review and apply different side-hustle ideas tailored for people with full jobs

• Execute tasks, manage projects or gigs you select

• Keep a simple record of your time vs. earnings

• Iterate and improve your approach as you go

Requirements:

• Stable full-time job or core commitment

• Access to internet and device for remote work

• Willingness to test ideas and adapt

• Organization, follow-through, and consistency

Bonus Skills:

• Ability to analyze which hustles are viable

• Comfort with trial and error

• Some prior side-gig experience (but not required)

Benefits:

• Fully remote

• Flexible hours

• Potential to grow side income steadily

• No micromanagement

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.

Technical PM focused on security application deployments (not field installation). Will manage ~4 application projects annually within a lean team structure.

Location

• Preferred: San Francisco Bay Area (Oakland / San Jose area)
• Onsite: 1–2 days per week
• Limited travel (occasional data center visits in Fairfield or Rancho Cordova)
• Duration - 12 months contract
• PR - $80-$85/hr on W2

Experience Required

• Minimum: 5 years
• Preferred: 7+ years
• Mid-career minimum
• Senior candidates acceptable (must hit ground running)

Role Breakdown

• 60–70% Project Management
• 30–40% Technical / hands-on support

Top Required Skills

Core PM Skills

• Scheduling & planning
• Stakeholder management
• Change management
• Project controls
• Executive reporting

Technical Capability (Critical)

Must be able to:

• Review solution blueprints
• Review architecture diagrams
• Create/modify Visio diagrams
• Understand data mapping & migrations
• Evaluate technical deliverables

This is a technical PM, not just an administrative PM.

Preferred Industry Background

Strong preference for candidates with experience in:

• Physical security systems
• Access control
• Video surveillance
• PSIM
• Visitor management

Target companies may include:

• Google
• Meta
• Microsoft
• Palo Alto Networks
• Physical security integrators

Education

• Technical degree preferred Not mandatory if experience is strong

Certifications

• PMP preferred Not required

Soft Skills

• Strong communicator (senior leadership exposure)
• Independent
• “Utility player” mindset
• Comfortable in small, lean teams

Interview Process

• 2 rounds max
• Focus: PM fundamentals + technical review ability + communication

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.

Our client, a PE backed AI start-up company with a platform that streamlines and enhances AI integration for developers and other technical personas, is actively looking to hire 2 FOUNDING Account Executives in San Francisco, CA set to drive net new business through close, while continuing to build the sales playbook and foundation for the AE function in the organization. They already have 40+ enterprise logos as paying customers and an incredible product market fit, and this is just the beginning! If you are excited by the opportunity to make a genuine impact on a high growth powerhouse at the forefront of AI, then this is a great opportunity for you!

** If interested in learning more, please email your resume to **

Highlights:

• Competitive base salary + UNCAPPED commission (Up to ~$270K+ Y1 OTE; flexibility for the right person)
• Full Benefits
• Very strong PE backing and incredible product market fit!
• Working hand in hand with the Founder!
• Strong inbound lead flow
• Ability to make an impact on the future of a growing organization!
• Long-term growth into higher-level roles
• AI, Future-forward organization

Requirements:

• ~2-3+ years of experience selling to technical buyers (VP Engineering, Staff Engineers, Enterprise Architects) in a new business hunter capacity
• Huge plus if you have an engineering background

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.