Menlo Park, CA

Engineer Jobs in Menlo Park, CA

10 jobs found

Include remote jobs

Today

Principal Frontend AI Engineer - Cortex Code

Snowflake Menlo Park, CA

Menlo Park, CA

Today

$200k - $288k/yr Full time Artificial Intelligence Data Processing Database

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Job Description

Snowflake is seeking a Principal Frontend AI Engineer to help build and operate federated, distributed billing systems as part of Cortex Code. In this role, you will also shape AI product billing strategy using Snowflake’s platforms and Cortex AI/Cortex Code tooling, with an emphasis on reliability, correctness, and auditability.

Role Focus

Own medium-sized projects end-to-end, from design through launch and operation, and contribute as a key engineer on large, multi-team initiatives.
Build federated, distributed billing systems that meter, rate, and invoice usage across every Snowflake service on Snowflake’s own product.
Shape billing strategy for AI products in partnership with Cortex AI, Intelligence, and Apps, including token-based inference, agent workflows, and AI-native subscriptions.
Use AI as a first-class collaborator across development, code review, debugging, and on-call triage via Cortex Code CLI and Snowflake Intelligence.

What You Will Deliver

Drive reliability and correctness through on-call participation, debugging across unfamiliar areas, and systemic fixes to monitoring, alerts, and quality.
Serve as the go-to expert for one or more billing components, such as metering, rating, invoicing, contracts, payments, threshold billing, fraud, or reporting, and mentor other engineers.
Partner cross-functionally with Product, Finance, GTM Systems, Growth, Trust, and Legal to translate business intent into reliable, auditable systems.

Required Qualifications

7+ years of professional software engineering experience building and supporting large-scale, production distributed systems.
Bachelor’s or Master’s degree in Computer Science (or related technical field), or equivalent practical experience.
Strong fundamentals in distributed systems, including consistency, fault tolerance, idempotency, exactly-once processing, queueing, and stream/batch data pipelines.
Strong fundamentals in databases and data modeling, including SQL fluency, schema design, performance tuning, and operational realities of large-scale data systems.
Proficiency in one or more of Java, Scala, Python, or Go, along with engineering practices that support operation at scale (testing, observability, CI/CD, incremental rollout).
Demonstrated ability to independently design, spec, schedule, and deliver medium-sized projects with quality, while contributing effectively as an individual contributor on larger, multi-team efforts.
Track record of owning reliability, including on-call participation, debugging production issues across unfamiliar areas, and driving systemic fixes rather than one-off patches.
Excellent communication skills and a collaborative working style, comfortable partnering with non-engineering stakeholders in Finance, Product, GTM, and Legal.
Curiosity about and hands-on experience with AI as a builder’s tool, plus interest in shaping the commercial models that bring AI products to market.

Technologies

Cortex Code CLI
Snowflake Intelligence
Cortex AI
SQL
Java
Scala
Python
Go

Compensation

Estimated base salary range for this role in the United States: $200,000 - $287,500 per year.
Eligible to participate in Snowflake’s bonus and equity plan.

Benefits

Bonus and equity plan eligibility
Medical, dental, vision, life, and disability insurance
401(k) retirement plan
Flexible spending & health savings account
At least 12 paid holidays
Paid time off
Parental leave
Employee assistance program
Other company benefits

Bonus Points

Prior experience in billing, payments, metering, revenue, or financial systems at a SaaS or cloud company.
Experience with fraud detection, abuse mitigation, or trust/safety systems in a usage-based product.
Experience designing or evolving pricing models for AI/ML products (inference, fine-tuning, agentic workloads).
Experience building on Snowflake or comparable cloud data platforms (Snowpark, Streams/Tasks, Iceberg, Streamlit, Cortex).
Contributions to internal AI developer-productivity tooling, agentic skills, or Cortex Code workflows.

Location: Menlo Park, CA (onsite)

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3d ago

Partner 16, Data Engineer - Global Partnerships

a16z Menlo Park, CA

Menlo Park, CA

3d ago

$269k - $314k/yr Full time Agentic Ai Data Engineer Data Engineering

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Job Description

The Global Partnerships Data Engineer will build and advance data infrastructure, systems, and automation that support Andreessen Horowitz (a16z) Global Partnerships activities. This role operates independently, leads cross-functional initiatives, and turns ambiguous business needs into scalable pipelines and usable insights.

Responsibilities

Own critical systems, including Global Partnerships core datasets and data pipelines, and act as a technical and strategic thought partner to Global Partnerships and adjacent teams on data practices, automation, and scalable process design
Design and maintain scalable data infrastructure and reliable pipelines that connect Global Partnerships systems and reduce manual work and error rates
Maintain high standards of data precision by monitoring and rectifying discrepancies across different platforms
Evaluate and implement tools and integrations to improve visibility, connectivity, and decision-making
Identify, pilot, and scale AI tools and agentic workflows that reduce manual effort, then support adoption through training, documentation, and change management
Lead automation and process development to increase operational scale, improving data accuracy, reliability, and speed
Serve as an AI thought partner by staying current on emerging tools and translating them into practical, high-leverage improvements for LP-facing and internal processes
Build visualizations and quantitative analyses covering fund and investment performance, including projected exit scenarios, liquidity, and follow-on decisions
Develop fluency with the firm’s portfolio company information database and manipulate and analyze data from the system to generate insights
Refine and calibrate portfolio performance analyses to keep them current and relevant

Requirements

Minimum 5 years of experience; past experience may include data analytics or data engineering
Bachelor’s degree in Computer Science, Data Science, Economics, Finance, Accounting, or a technical field preferred but not required
Strong attention to detail for written prose as well as charts, tables, and spreadsheets, with the ability to stay aligned with changing data and facts across multiple documents
Strong writing skills and the ability to communicate effectively in writing
Demonstrated experience building and maintaining data workflows, automations, or integrations using tools such as Python, JavaScript, or a comparable programming language
Proven ability to lead ambiguous cross-functional projects with substantial autonomy and influence stakeholders across technical and business teams
Experience owning or administering complex data pipelines or another critical business system, with emphasis on completeness, governance, and integration
Low ego and high empathy, with strong collaboration skills across diverse teams

Technologies

Python
Javascript

Compensation

The anticipated salary range is USD 269,000 - 314,000 per year. Actual starting pay may vary based on factors including experience, skills, and scope.

Benefits

Eligible to participate in the a16z carry program
Eligible to participate in various discretionary bonus programs
Health
Dental
Vision
Disability
Life insurance
401K plan
Vacation
Sick leave

Location

Menlo Park, CA (onsite)
Open to candidates based in the San Francisco Bay Area

Role Context

The Global Partnerships Data Engineer will own and advance critical data infrastructure, systems, and automation that support a16z’s Global Partnerships activities. The position includes significant independence, complex cross-functional coordination, and serving as a technical and strategic thought partner across Global Partnerships and adjacent teams.

To Join Our Team

Own and advance the Global Partnerships data ecosystem
Champion AI adoption across Global Partnerships
Use data to enable practical insights for the portfolio and the industry

Ideal Candidate Profile

Demonstrates urgency and professional responsiveness, treating speed as a form of client service
Adapts quickly to unforeseen developments while maintaining attention to detail and quality
Asks additional questions upfront to avoid oversights and prefers careful, precise execution
Acts as an enabler who seeks maximum leverage for the team and is comfortable across a range of tasks
Delivers commitments on agreed timelines
Continually looks for new ideas and improvements
Works as a dedicated team player and is willing to wear multiple hats
Takes work seriously while maintaining an appropriate perspective
Anticipates business needs, takes ownership proactively, and designs solutions for scale
Can break down complex processes, identify high-leverage improvements, and guide teams through change
Is a trusted partner and emerging leader whom peers consult on data practices, systems, and efficiency

a16z Culture

We do only first class business and only in a first class way
We take a long view of relationships, because we are in the relationship business
We believe in the future and bet the firm that way
We are all different, we recognize that, and we win
We celebrate the good times
We do it for the team
We play to win

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3d ago

Partner 16, Data Engineer - Global Partnerships

Andreessen Horowitz Menlo Park, CA

Menlo Park, CA

3d ago

$269k - $314k/yr Full time Backend Developer Data Analysis Data Architecture

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Job Description

The Global Partnerships Data Engineer role supports Andreessen Horowitz by owning key data infrastructure, systems, and automation that enable Global Partnerships activities. This position combines independent execution, cross-functional leadership, and a focus on translating ambiguous business needs into scalable pipelines and actionable insights.

Role Overview

The role owns and advances critical data infrastructure, including Global Partnerships core datasets and data pipelines. You will act as a technical and strategic thought partner to Global Partnerships and adjacent teams, guiding data practices, automation, and scalable process design while maintaining data precision and operational reliability.

Responsibilities

Lead ownership of critical systems, including Global Partnerships core datasets and data pipelines, and advise on data practices, automation, and scalable process design.
Design and maintain scalable data infrastructure and reliable pipelines that connect Global Partnerships systems and reduce manual work and error rates.
Maintain high standards for data accuracy by monitoring and resolving discrepancies across multiple platforms.
Evaluate and implement tools and integrations to increase visibility, connectivity, and decision-making.
Identify, pilot, and scale AI tools and agentic workflows that reduce manual effort, then support organization-wide adoption through training, documentation, and change management.
Lead automation and process development to improve operational scale, focusing on accuracy, reliability, and speed.
Serve as an AI thought partner by staying current on emerging tools and applying them to high-leverage improvements for LP-facing and internal processes.
Build visualizations and quantitative analyses that deliver insights on fund and investment performance, including projected exit scenarios, liquidity, and follow-on decisions.
Develop fluency with the firm’s portfolio company information database and manipulate and analyze data to generate insights.
Refine and calibrate portfolio performance analyses to ensure they remain current and relevant.

Requirements

Minimum 5 years of experience; experience in data analytics or data engineering is preferable.
Bachelor’s degree in Computer Science, Data Science, Economics, Finance, Accounting, or another technical field preferred but not required.
Strong attention to detail and a critical eye for written prose and chart, table, and spreadsheet quality, including comfort tracking changing data and facts across multiple documents.
Strong writing skills and effective written communication.
Proven experience building and maintaining data workflows, automations, or integrations using Python, JavaScript, or a comparable programming language.
Demonstrated ability to lead ambiguous, cross-functional projects with substantial autonomy and influence across technical and business teams.
Experience owning or administering complex data pipelines or other critical business systems, with an emphasis on data completeness, governance, and integration.
Low ego and high empathy, with the ability to collaborate effectively with diverse teams.

Technologies

Python
Javascript

Compensation and Location

Location: Menlo Park, CA (onsite)
Salary: USD 269,000 - 314,000 per year

Benefits

a16z carry program
Various discretionary bonus programs
Health, dental, vision
Disability and life insurance
401K plan
Vacation and sick leave

What You Will Be Excited About

Owning and advancing the Global Partnerships data ecosystem.
Championing AI adoption across Global Partnerships.
Using data to support practical insights for the portfolio and the industry.

Ideal Candidate Attributes

Sense of urgency and professional responsiveness, with an understanding that speed functions as a form of client service.
Ability to adapt to unforeseen developments without losing attention to detail and quality.
A preference for clarifying requirements upfront and avoiding oversight later.
A mindset focused on enabling others and maximizing leverage across tasks of varying size.
Reliability in delivering commitments on the stated timeline.
Continuous search for new ideas and improvement opportunities.
Willingness to collaborate and handle multiple responsibilities.
Ability to take work seriously while maintaining appropriate humility.
Ownership of business needs, scale-focused solution design, and guidance through change.
Capability to break down complex processes and identify high-leverage improvements in partnership with teams.
Trusted partner behavior and emerging leadership on data practices, systems, and efficiency.

How to Apply

Andreessen Horowitz is open to candidates based in the San Francisco Bay Area.

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1mo ago

Director of Engineering

Hotel Nia Menlo Park, CA

Menlo Park, CA

1mo ago Closed

$120k - $132k/yr Full time Electrical Engineering Building Automation Building Services

This position is no longer accepting applications (closed Sep 19, 2026).

Job Description

Hotel Nia seeks a hands-on, solutions-oriented engineering leader to guide hotel Engineering and facilities operations on a long-term safety, reliability, and performance roadmap.

Responsibilities

Provide strategic and hands-on leadership for all hotel Engineering and facilities operations
Oversee operation, maintenance, repair, and optimization of HVAC, electrical, plumbing, mechanical, refrigeration, life-safety, fire protection, building automation, elevators, and other critical building systems
Use high-rise and complex building expertise to troubleshoot interconnected systems and address recurring or difficult engineering challenges
Conduct regular inspections across guestrooms, public areas, back-of-house spaces, mechanical rooms, exterior areas, and critical infrastructure
Build and maintain preventive and predictive maintenance programs to reduce downtime, emergency repairs, and long-term operating costs
Maintain detailed documentation including maintenance schedules, equipment histories, warranties, inspections, and regulatory records
Ensure Engineering operations meet applicable building codes, fire and life-safety requirements, environmental standards, brand expectations, and regulatory requirements
Apply a builder mindset to continuously identify improvements to infrastructure, processes, systems, and overall property condition
Diagnose root causes and develop sustainable solutions to complex operational and building challenges
Identify aging infrastructure, operational vulnerabilities, and capital needs before they impact guest experience or hotel operations
Create short- and long-term plans for equipment replacement, building improvements, renovations, and capital projects
Partner with hotel leadership to prioritize investments based on safety, guest impact, operational risk, return on investment, and long-term needs
Challenge existing processes when a safer, smarter, or more efficient approach is available
Lead and coordinate capital improvement projects from planning through completion
Develop scopes of work, review proposals, obtain competitive bids, and oversee contractors and vendors
Ensure projects are completed safely, on schedule, within budget, and to established quality standards
Maintain vendor accountability and confirm outside partners meet expectations for quality, responsiveness, professionalism, and value
Collaborate with ownership, management, contractors, consultants, and other stakeholders on major building initiatives
Recruit, develop, coach, and lead an Engineering team with strong responsiveness and ownership
Build a culture of accountability, urgency, craftsmanship, and continuous improvement
Set clear expectations for how work is completed and why it matters to the operation and guest experience
Strengthen technical capability through training, cross-training, and hands-on coaching
Create effective staffing and on-call coverage to support a 24/7 hotel operation
Foster partnerships with Housekeeping, Front Office, Food & Beverage, Security, Events, and other departments
Develop and manage the Engineering operating budget and support the capital expenditure planning process
Monitor utilities, repair expenses, contracts, equipment performance, and departmental spending
Improve energy efficiency and reduce utility consumption while maintaining guest comfort and building performance
Evaluate repair-versus-replacement decisions using operational impact, lifecycle cost, reliability, and return on investment
Maintain appropriate inventory of tools, parts, supplies, and critical replacement components

Requirements

Minimum 5–7 years of progressive Engineering, Facilities, or Building Operations experience, preferably in hotels, luxury hospitality, high-rise buildings, or complex commercial properties
Prior leadership experience as Director of Engineering, Chief Engineer, Assistant Director of Engineering, Facilities Director, or comparable role is strongly preferred
High-rise building experience required
Strong working knowledge of HVAC, electrical, plumbing, mechanical, fire/life-safety, building automation, vertical transportation, and preventive maintenance systems
Demonstrated ability troubleshooting complex building issues and creating long-term corrective solutions
Experience managing capital projects, contractors, vendors, budgets, and preventive maintenance programs
Strong knowledge of workplace safety practices and applicable building and regulatory requirements
Ability to respond effectively to emergencies and make sound decisions under pressure
Strong organizational, communication, and leadership skills
Hospitality experience strongly preferred
Relevant technical licenses, certifications, or trade credentials are highly desirable

Technologies

HVAC
Electrical
Plumbing
Mechanical
Refrigeration
Life-safety
Fire protection
Building automation
Elevators
Vertical transportation
Preventive maintenance systems

Benefits

Pay: $120,000.00 - $132,000.00 per year
Work Location: In person

Location: Menlo Park, CA (onsite)

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1mo ago

Data Engineer, Product Analytics

Meta Menlo Park, CA

Menlo Park, CA

1mo ago Closed

$114k - $173k/yr Full time .NET Analytics Business Intelligence

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Data Engineer for Product Analytics at Meta in Menlo Park, CA (onsite), with a salary range of USD 114,000 - 173,000 per year.

Responsibilities

Plan and execute data warehouse initiatives for a product or group of products to address clearly defined problems.
Determine data requirements for business problems and implement the necessary logging to ensure data availability, coordinating with data infrastructure to triage and resolve issues.
Collaborate with engineers, product managers, and data scientists to capture data needs and present key insights in a meaningful way.
Develop domain data expertise and apply privacy, security, compliance, data quality, and operational controls for your areas of ownership.
Design, build, and deploy new data models and visualizations in production using standard development toolkits.
Independently design, build, and deploy new ETL processes in production, mentoring others on efficient querying.
Support existing production processes and implement optimized solutions with limited guidance.
Define and manage service level agreements for data sets in your ownership area.

Requirements

2+ years of experience with SQL, ETL, data modeling, and at least one programming language (for example Python, C++, C#, Scala, or similar).

Technologies

SQL
ETL
Python
C++
C#
Scala

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses.
When Facebook launched in 2004, it changed the way people connect.
Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.
Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.
People who choose to build their careers by building with us at Meta help shape a future that wil

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1mo ago

Data Engineer, Analytics (Ranking, AI)

Meta Menlo Park, CA

Menlo Park, CA

1mo ago Closed

$177k - $247k/yr Full time Analytics Artificial Intelligence Big Data

This position is no longer accepting applications (closed Aug 29, 2026).

Job Description

Meta offers an onsite opportunity in Menlo Park to join a team shaping data architectures for Ranking AI within the Ads stack. You will collaborate across engineering, data science, and product groups to deliver scalable analytics solutions while upholding data security and governance. The role provides a competitive compensation package in the range of USD 177,000 - 247,000 per year, plus bonus, equity, and comprehensive benefits, plus meaningful opportunities to mentor peers and influence cross-functional initiatives.

Responsibilities

Own and design data architecture for multiple large-scale initiatives, weighing design choices against operational costs and benefits.
Develop and contribute to frameworks that improve data logging effectiveness, coordinating with data infrastructure teams to triage and resolve issues.
Work closely with engineers, product managers, and data scientists to translate data needs into actionable insights and visually communicate key findings.
Establish and manage service level agreements for data sets within your ownership.
Define security models aligned with privacy requirements, ensure safeguards are in place, address data quality concerns, and evolve governance processes.
Build and deploy sophisticated data models and visualizations that support multiple use cases across products and domains.
Tackle challenging data integration problems using efficient ETL patterns, frameworks, and advanced query techniques across structured and unstructured sources.
Contribute to production processes, optimizing complex code through advanced algorithms.
Improve pipelines, dashboards, and frameworks to streamline development of data artifacts.
Influence product and cross-functional teams to uncover data opportunities with tangible impact.
Mentor teammates through constructive feedback and knowledge sharing.

Requirements

7+ years of experience with SQL
Experience with ETL processes
Experience with data modeling
Experience with at least one programming language (for example Python, C++, C#, Scala, or others)

Technologies

SQL
ETL
Python
C++
C#
Scala

Benefits

bonus
equity
benefits

Preferred Qualifications

Proven ability to integrate AI tools to streamline workflows and drive measurable improvements
Active development in AI skills such as prompt engineering, context management, and agent orchestration, with awareness of emerging AI technologies
Experience applying responsible and ethical AI practices, including risk assessment, bias mitigation, and quality checks
Master's or PhD in a STEM field with relevant coursework or research in data systems, machine learning, or related areas

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2mo ago

Analytics Engineer - AI Trainer

DataAnnotation Menlo Park, CA 🇺🇸 Remote

Menlo Park, CA

2mo ago Closed

$50 - $100/hr Contract Ai Ml Ai Trainer Ai Training

This position is no longer accepting applications (closed Aug 18, 2026).

Job Description

DataAnnotation is offering a remote contract role for an Analytics Engineer - AI Trainer. You will help train AI models by evaluating quantitative outputs, crafting training problems, and providing actionable feedback to improve AI systems. The arrangement emphasizes flexibility, autonomy, and the chance to influence data-driven AI reasoning from anywhere.

Benefits

Fully remote: work from anywhere in the United States, Canada, United Kingdom, Ireland, Australia, and New Zealand.
Flexible schedule: select projects and set your own hours, using your own computer from home.
Competitive pay: hourly rates range from $50 to $100, with potential bonus rates on selected projects.
Impact: contribute to the development of AI systems designed for quantitative reasoning and analytics.
Payment is processed via PayPal. Eligible locations are the US, Canada, UK, Ireland, Australia, and New Zealand.

Responsibilities

Evaluate AI-generated quantitative outputs for technical accuracy and real-world validity, covering statistical analysis, predictive modeling, scientific reasoning, and data-driven insights.
Design and solve quantitative problems used to train and benchmark AI systems, spanning forecasting, experimental analysis, optimization, and statistical inference.
Produce clear technical explanations and maintain well-documented analytical code.
Provide feedback that informs the next generation of AI models built for quantitative reasoning.

Requirements

3+ years in a quantitative role or research environment, such as data science, statistics, economics, finance, physics, biology, epidemiology, operations research, or related fields.
Some coding experience with comfort in writing and reviewing analytical code end-to-end.
Hands-on experience with statistical methods, predictive modeling, and experiment design (A/B testing, hypothesis testing, regression, classification, time-series forecasting).
Fluency in English with strong writing skills.
Bachelor’s degree in a quantitative field is preferred; advanced degrees (Master’s or PhD) are a plus.
Relevant credentials are advantageous (eg, Kaggle rankings, AWS/GCP ML certifications, or equivalent demonstrated expertise).