Engineering Jobs in Alameda Ca Hybrid

Job Title: Program Manager – Pharma R&D

Location: San Francisco, California,(Onsite)

Role Summary

We are seeking a senior Program Manager to lead and drive complex RFPs and delivery programs for Pharma R&D imaging data platforms that integrate clinical imaging, ML/AI, and multi‑modal R&D data (imaging, omics, clinical, RWD). This role sits at the intersection of business, technology, and science, owning the end‑to‑end RFP lifecycle and subsequent program execution—from discovery and solution shaping through delivery governance.

The ideal candidate brings strong Pharma R&D domain knowledge with ability to orchestrate cross‑functional teams (data engineering, ML, clinical SMEs, architecture, partners) in a regulated environment.

Key Responsibilities

RFP Leadership

• Own end‑to‑end RFP management for Pharma R&D imaging platforms, including scope definition, solution orchestration, pricing inputs, risk management, and submission governance
• Coordinate inputs from data architects, AI/ML leads, clinical SMEs, and delivery teams to create cohesive, compliant RFP responses
• Drive open architecture, cost effectiveness, ML scalability, and workflow modernization

Program & Delivery Governance

• Lead large‑scale R&D imaging data platform programs using hybrid Agile delivery models
• Establish program governance, milestones, dependency management, and risk mitigation across data ingestion, ML pipelines, visualization, and experience layers
• Manage delivery across multi‑vendor / CRO‑integrated environments, ensuring alignment with clinical workflows
• Track program KPIs related to quality, timelines, regulatory compliance, and value realization

AI / ML & Imaging Platform Oversight

• Oversee implementation of ML‑enabled imaging workflows, including model training, validation, lifecycle management, and performance monitoring
• Partner with data science teams to operationalize computer vision, image analytics, and AI‑assisted insights

Stakeholder Engagement

• Act as the primary program interface for R&D IT leaders, data platform heads, architects, and scientific stakeholders
• Support executive‑level reviews, steering committees, and decision‑making forums

Required Qualifications

Domain & Program Experience

• 15+ years of experience in program / engagement management within Pharma, Biotech, or Life Sciences
• Proven experience leading RFPs and large transformation programs in R&D IT, clinical platforms, or data/AI initiatives
• Strong understanding of Pharma R&D value chain, including clinical development, clinical operations, and research analytics

Regulatory & Quality Awareness

• Working knowledge of GxP, data privacy, validation, and compliance considerations in Pharma R&D systems
• Experience driving programs in regulated environments with audit and inspection readiness

Preferred Qualifications

• Prior experience with R&D data platforms
• PMP, PgMP, SAFe, or equivalent program management certifications.

Thanks

Govardhan

Email:

A growing high-tech manufacturing company in the Palo Alto area is seeking a Customer Service / Sales Representative to support existing customers while helping generate new business opportunities.

This role sits at the intersection of customer service, inside sales, and technical order management, making it ideal for someone who enjoys working with customers, coordinating with engineering and operations teams, and driving revenue growth.

Key Responsibilities

• Act as the primary contact for assigned customer accounts, handling inquiries, order updates, and general support

• Prepare quotes, process sales orders, and manage customer requests from RFQ through delivery

• Track shipments, order status, and customer requirements through internal ERP/CRM systems

• Work cross-functionally with engineering, production, quality, and accounting teams to ensure customer expectations are met

• Follow up on outstanding quotations and identify opportunities to expand existing accounts

• Assist with customer portals, documentation, and order administration

• Support collections and coordinate pro forma invoices when required

Preferred Background

• Bachelor’s degree in Business, Engineering, or related discipline preferred

• 3+ years of experience in customer service, inside sales, sales support, or account coordination

• Experience supporting customers in technical, electronics, aerospace, or manufacturing environments is a plus

• Strong communication and relationship-building skills

• Familiarity with ERP or CRM platforms

• Highly organized with the ability to manage multiple orders and priorities simultaneously

Hiring: Associate Project Manager

Oakland (Hybrid)

Contract: 12 Months

Pay: $30–45/hr (W2)

Travel: ~10% within Bay Area

About the Role

We are looking for an Associate Project Manager to support electric transmission and distribution projects within Electric Operations team. This is an entry-level project management role ideal for candidates looking to grow in utility/energy infrastructure projects.

You’ll work on low to medium complexity substation projects, helping manage scope, schedule, cost, and coordination across teams and vendors.

Key Responsibilities

• Manage project scope, schedule, and cost for assigned projects
• Support planning and execution of substation transmission & distribution projects
• Track project progress and communicate status to stakeholders
• Identify risks and implement mitigation strategies
• Maintain project documentation and financial forecasts
• Coordinate with vendors and contractors
• Support work methods updates, standards, and internal committees
• Manage multiple projects simultaneously with guidance from senior PMs
• Ensure timely procurement of materials and delivery of project milestones

Top Skills Required

Microsoft 365 (Excel, Word, MS Project)

Project Management fundamentals

Technical Writing & Documentation

Basic Qualifications

• Bachelor’s degree (or equivalent experience)
• 1–2 years of experience in:
• Project Management
• Project Controls
• Engineering or Construction
• Strong communication and organizational skills

Preferred Qualifications

• Ability to manage multiple projects and priorities
• Strong analytical and problem-solving skills
• Experience working with cross-functional teams and vendors
• Good presentation and stakeholder management skills
• Cost forecasting and scheduling experience

Work Environment

• Hybrid role – onsite 2 times per month (Oakland, Stockton, or San Ramon)
• Local candidates within the Bay Area preferred
• Mileage reimbursement available (with approval)
• Laptop provided

Why Join?

Be part of a team that ensures safe and reliable electric service while gaining hands-on experience in large-scale utility infrastructure projects.

Job Title: Scientist

Location: South San Francisco, CA 94080

Duration: 12 months

Ideal Candidate:

- PhD is a MUST (The ideal candidate is a recent PhD graduate in Biochemistry, Chemical Biology, Molecular Biology, or a related field, with strong quantitative and analytical skills)

- This role is best suited for early-career scientists (0–2 years of postdoctoral or industry experience)

Preferred Qualifications:

- Strong scientific foundation in understanding and implementing various bioassays and readouts, including TR-FRET, BRET, Alpha, MSD, HCS, luminescence, and fluorescence.

- Expertise in the development and implementation of target engagement (TE), activity, functional, and phenotypic, and protein-protein interaction (PPI) assays to assess therapeutic agents, including thermal shift assay (TSA), probe displacement, second messenger, ion flux, reporter, protein stability, PPI (NanoBiT, NanoBRET, etc.), immunoassays, gene activation, and cellular imaging.

- Extensive experience in the functional and phenotypic characterization of engineered cells with analytical techniques, including DNA sequencing, RT-qPCR, and Western Blots

- Experience in a variety of bioassays on more physiologically relevant cellular models such as iPSCs, 3D-culture, co-culture, and primary cells.

- Competence in setting up and operating multimode plate readers (e.g., PHERAstar, CLARIOstar, FLIPR, EnVision) and automated liquid handlers (e.g., Echo, Dragonfly, Multidrop Combi, Bravo, BioTek Plate Washer, BlueWasher) for the development of 384- and/or 1536-well microtiter plate assays.

- Familiarity with software and statistical platforms necessary for analyzing large data sets, including Screener and Spotfire

Are you a natural relationship builder with strong customer instincts? Do you enjoy stepping onto a production floor to solve problems just as much as you enjoy strategizing account growth? Do you love being "the face" to major OEMs and prefer a role that gets you out in the field rather than behind a desk? If so, this is the perfect opportunity to join our client, a primary equipment supplier to the North American bus industry.

The Regional Account Manager will support key OEM and fleet customers across Northern California and surrounding areas. This highly visible role blends account management, light technical/mechanical support, project coordination, field training, and regional sales growth.

You will serve as the primary point of contact for one of the region’s largest bus/vehicle manufacturers while also supporting additional transit agencies, fleets, and operators across Northern California and parts of the Central Valley.

This role is ideal for someone who loves building customer relationships, enjoys being hands‑on in production environments, and is comfortable balancing sales responsibilities with technical problem-solving.

What You'll Be Doing

Account Management & Customer Support

• Serve as the dedicated Account Manager for a major OEM in the Bay Area, visiting the customer 2–3 times per week to ensure smooth production, system performance, and issue resolution.
• Maintain strong customer relationships, identify pain points, and proactively address issues before they escalate.
• Coordinate closely with internal engineering and operations teams to troubleshoot production line challenges and facilitate solutions.
• Support multiple fleet/end‑user accounts throughout Northern California, conducting site visits, check-ins, and relationship-building.

Technical/Mechanical Support

• Provide on-site support during customer production processes — identifying mechanical issues, gathering data, and collaborating with engineering for solutions.
• Demonstrate mechanical aptitude and curiosity; able to understand technical product functions and communicate them clearly to customers.
• Perform hands-on review of customer installations and assist with resolving equipment, configuration, or application questions.

Training & Education

• Conduct paid technical training sessions for customer maintenance teams and technicians.
• Deliver clear instructions on product usage, safety, troubleshooting, and maintenance best practices.
• Ensure training materials and documentation are consistently updated and aligned with customer needs.

Regional Growth & Field Sales

• Manage and grow existing accounts while identifying new opportunities within assigned territory.
• Conduct cold visits/check-ins with regional customers to assess needs, gather feedback, and promote solutions.
• Support bid/specification efforts to ensure products are accurately represented in proposals and future orders.
• Provide timely and accurate forecasting, market feedback, and competitive insights.

Travel Expectations

• Approximately 80% travel, primarily within Northern California.
• Occasional travel to national manufacturing sites, training centers, and customer locations for onboarding and continued development.
• Expect an immersive 60-day onboarding program involving shadowing and training with team members across multiple regions.

What Experience You Bring

Required

• 5+ years of experience combining sales, account management, project coordination, and/or technical customer support.
• Strong customer-facing skills with the ability to manage expectations, resolve conflicts professionally, and build trust.
• Demonstrated mechanical aptitude, whether through previous work experience, hands-on roles, or personal/hobbyist experience.
• Ability to work independently from a home office while managing a travel-heavy schedule.
• Strong proficiency with Microsoft Office and experience using CRM tools.
• Residency in Northern California, with daily travel within the Bay Area feasible.

Preferred

• Experience supporting OEMs or large industrial/manufacturing accounts.
• Background in transportation, heavy equipment, mechanical systems, mobility, or related technical industries.
• Experience conducting customer training or technical demonstrations.
• Strong organizational skills with proven ability to prioritize across multiple customers and ongoing projects.

What's Offered

• Company vehicle and credit card for travel.
• Yearly bonus eligibility.
• Comprehensive benefits package.
• Opportunity for long-term growth in a stable, expanding division.
• Autonomy, flexibility, and the chance to make a meaningful impact with a leading provider of transportation and mechanical system solutions.

Our client is not able to provide visa sponsorship at this time. Candidates must be U.S. Citizens or Green Card holders.

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

• Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
• Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
• Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
• Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
• Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

• 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
• 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
• 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
• A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
• A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
• 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
• The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

• Master's in computer science or equivalent quantitative fields

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

• Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
• Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
• Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
• Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
• Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

• 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
• 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
• 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
• A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
• A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
• 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
• The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

• Master's in computer science or equivalent quantitative fields

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

• Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
• Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
• Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
• Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
• Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

• 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
• 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
• 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
• A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
• A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
• 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
• The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

• Master's in computer science or equivalent quantitative fields

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.

Location: United States

At GoDaddy the future of work looks different for each team. Some teams work in the office full-time; others have a hybrid arrangement (they work remotely some days and in the office some days) and some work entirely remotely.

This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or meetings.  

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join Our Team

We are looking for an experienced leader in experimentation methodology to join our core Applied ML team. The Applied AI and Machine Learning team handles large-scale data to support many business areas. We develop a cohesive navigation experience across channels and web pages. Our goal is to simplify and improve the shopping experience for everyday entrepreneurs worldwide, helping them quickly find what they need on our website.

In this leadership role, you will enhance the strategic direction of our experimentation methodology efforts. You will use simulations and reinforcement learning, ensuring consistency with business objectives, and supporting cross-functional teams in data-informed experimentation solutions. You will guide teams working at the intersection of large-scale foundation models, multi-agent systems, and RL-based optimization, encouraging a culture of collaboration, innovation, and technical excellence.

What you'll get to do...

• Define and drive the strategic roadmap for AI driven experimentation methodology, aligning initiatives with organizational goals and business impact
• Supervise and mentor teams of scientists and engineers, providing technical guidance and career development
• Promote meticulous experimentation, including the development of simulation environments and robust evaluation frameworks using machine learning and RL
• Collaborate with product, engineering, and business teams to translate research outcomes into scalable, production-ready experimentation solutions
• Facilitate knowledge sharing and cultivate a collaborative, innovative environment across the Applied ML team and broader organization

Your experience should include...

• 3+ years of professional experience managing and leading high-performing teams, including mentoring and coaching team member to achieve organizational goals
• 5+ years of professional experience in experimentation methodology, Reinforcement Learning, and software development 
• 2 + years of professional with experimentation platforms, data pipelines, and analytical tools to guide methodological rigor
• A deep understanding of statistical principles, causal inference, and experimental design for large-scale digital products
• A track record of partnering effectively with experimentation platform teams, product managers, and business stakeholders to drive data-informed decision-making
• 5+ years of professional experience translating complex statistical concepts into actionable insights for technical and non-technical audiences
• The ability to define and implement a vision for experimentation best practices across diverse product areas

You might also have...

• Master's in computer science or equivalent quantitative fields

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.

Location Details: United States - Remote

At GoDaddy the future of work looks different for each team. Some teams work in the office full-events or offsites. This is a remote position, so you'll be working remotely from your home. You may occasionally visit a GoDaddy office to meet with your team for events or offsites.

This position is not eligible to be performed in Alaska, Mississippi, North Dakota, or the Virgin Islands.

GoDaddy is not currently considering candidates for this role in California, Seattle, or NYC.

Join our team 

Do you want to be an Information Security Leader at GoDaddy? GoDaddy's Product Security group is looking for a Principal Security Engineer to join our organization. Can you solve large scale and cross-company issues, while ensuring that partnership with the development and operational communities remains in front of mind?

GoDaddy is looking for a Principal Security Engineer to apply their hands-on technical skills, strong leadership abilities, and an eagerness to design solutions to complex problems. You must be comfortable with communicating to stakeholders, performing security assessments and prioritizing security risks, creating/presenting high-quality deliverables.

What you'll get to do...

• Identify security threats in applications and infrastructure and provide remediation mentorship to system owners.
• Join forces with SRE and development teams to find new and creative ways to reduce the occurrence of vulnerabilities at scale.
• Build repeatable/reusable security processes and frameworks.
• Review quality issues and work towards detecting security flaws both obvious and discrete.
• Assist with scoping prospective projects, participating in projects from kickoff through "definition of done" via end-to-end ownership.
• Use your industry experience to own and drive resolution and retest complex security events, policy questions and technical security risks.

Your experience should include...

• 7+ years of progressive security engineering experience across Security Architecture, Cryptography, Network, Cloud, Mobile, and Web Security.
• Skilled in Secure Development Lifecycle, Security by Design, and Shift Left methodologies.
• Proficient in Threat Modeling, Architecture Review, Penetration Testing, Code Review, SAST, and DAST.
• Strong scripting abilities in languages such as Python, C, C++, Java, Ruby, and PowerShell.
• Adept at applying security best practices for compliance, with excellent problem-solving and communication skills.

You might also have...

• Bachelor's degree in computer science or related field.
• Master's degree or PhD in Computer Science or related field.
• Hosting industry and/or cloud Experience.
• Experience in hardware security.

We've got your back... We offer a range of total rewards that may include paid time off, retirement savings (e.g., 401k, pension schemes), bonus/incentive eligibility, equity grants, participation in our employee stock purchase plan, competitive health benefits, and other family-friendly benefits including parental leave. GoDaddy's benefits vary based on individual role and location and can be reviewed in more detail during the interview process.

We also embrace our diverse culture and offer a range of Employee Resource Groups (Culture). Have a side hustle? No problem. We love entrepreneurs! Most importantly, come as you are and make your own way. 

About us...  GoDaddy is empowering everyday entrepreneurs around the world by providing the help and tools to succeed online, making opportunity more inclusive for all. GoDaddy is the place people come to name their idea, build a professional website, attract customers, sell their products and services, and manage their work. Our mission is to give our customers the tools, insights, and people to transform their ideas and personal initiative into success. To learn more about the company, visit About Us. 

At GoDaddy, we know diverse teams build better products—period. Our people and culture reflect and celebrate that sense of diversity and inclusion in ideas, experiences and perspectives. But we also know that's not enough to build true equity and belonging in our communities. That's why we prioritize integrating diversity, equity, inclusion and belonging principles into the core of how we work every day—focusing not only on our employee experience, but also our customer experience and operations. It's the best way to serve our mission of empowering entrepreneurs everywhere, and making opportunity more inclusive for all. To read more about these commitments, as well as our representation and pay equity data, check out our Diversity and Pay Parity annual report which can be found on our Diversity Careers page.

GoDaddy is proud to be an equal opportunity employer. GoDaddy will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. Refer to our full EEO policy.

Our recruiting team is available to assist you in completing your application. If they could be helpful, please reach out to  

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

GoDaddy doesn't accept unsolicited resumes from recruiters or employment agencies.