Engineering Structures Login Jobs in Canyon Crest, CA

About Us

We’re ClosedWon Talent, a sales & go-to-market recruiting agency that specializes in working with fast-growing startups. If you're exploring your next move, we might have just the opportunity for you...including this one!

About The Company

We're helping a Seed-stage developer productivity startup hire their first two Founding Account Executives in San Francisco.

They’re building a platform for engineering leaders that goes beyond dashboards and vanity metrics. It analyzes real workflow data across the development stack and surfaces clear, actionable guidance on how teams can ship faster, reduce friction, and improve outcomes. This is sold as expertise and insight, not just another tool.

The Role

• Title: Founding Account Executive
• Report to: Founder
• Location: Hybrid in SF
• Comp: $100K–$150K salary, $200-300k OTE, plus equity

You’ll own full-cycle new business:

• Generate your own pipeline
• Work inbound leads
• Run discovery with engineering leaders
• Close mid-market and enterprise deals
• Help define how sales gets done

ACV ranges:

• $15K–$40K typical mid-market
• $50K+ enterprise entry point (with expansion upside later)

You’ll get a mix of faster-moving cycles and more strategic, multi-stakeholder deals.

Who They’re Looking For

Must-haves:

• Proven ability to generate pipeline in a scrappy environment
• Comfortable selling to technical buyers, especially engineering leaders
• Operates well with low process and high ambiguity
• High ownership mentality. Willing to do the unglamorous work

Nice-to-haves:

• Experience selling into engineering orgs or dev-adjacent tools
• Some technical or analytical exposure
• Evidence of fast progression or internal promotion
• Creative GTM experience: events, conferences, network selling, scrappy outbound motions

Job Title: Senior Technical Account Manager

Location: San Francisco Bay Area, California

Duration: Direct Hire

Salary: $170K Base Plus 40% Bonus Plus Excellent Benefits

Job Summary

We are seeking a seasoned Senior Account Manager with a strong track record in technical sales to join our dynamic team in Silicon Valley. The ideal candidate has strong industry knowledge, a consultative sales approach, and the ability to manage complex customer relationships in a fast-paced, innovation-driven environment.

This position will have a strong focus on emerging markets including AI infrastructure, Data Centers, power electronics, semiconductors, advanced electrical materials, and EV. The Senior Account Manager responsibilities include pipeline development, business planning, product marketing strategy, portfolio management, and production forecasting.

Knowledge, Skills & Abilities (KSAs)

• Ability to understand and use product management tools (ROI calculations, lifecycle management, forecasting)
• Ability to communicate effectively, orally and in writing; strong cross-cultural communication skills
• Strong people skills and the ability to influence cross-functional teams
• Knowledge of business and product development principles, including engineering, operations, QA, sales, and CS
• Technical familiarity with electrical materials, magnetic materials, power electronics, thermal technologies, semiconductor-adjacent components, and/or Data Center systems supporting AI hardware
• Ability to understand customer technical requirements and translate them into product specifications and business strategies

Essential Job Functions

• Develop and execute strategic account plans to drive revenue growth across key enterprise and mid-market clients
• Manage the entire sales cycle from qualification through contract negotiation and closing
• Build trusted relationships with clients, acting as a technical and business advisor
• Collaborate with cross-functional teams—including engineering, marketing, and product management—to deliver tailored solutions
• Analyze market trends, competitor activities, and customer needs to identify new opportunities
• Provide accurate forecasts and maintain CRM data integrity
• Represent the organization at industry events, trade shows, and client meetings
• Use personal judgment and initiative to develop solutions for sales, customer service, and marketing challenges
• Assist with customer issue escalation and resolution
• Coordinate with R&D and engineering on technical requirements related to thermal management, magnetic materials, electrical materials, semiconductors, and power electronics
• Serve as liaison between customer and vendors/suppliers/factories throughout product lifecycle for issues related to pricing, quality, design, costs, and delivery

Qualifications

• Bachelor’s degree in Engineering, Business, or a related field (Master’s preferred)
• 5–10+ years of experience in technical or enterprise sales, preferably in hardware
• Proven success managing large, complex accounts and multimillion-dollar deals
• Strong communication, negotiation, and relationship management skills
• Technical aptitude with the ability to translate complex solutions into clear business value
• Ability to work well in a cross-cultural environment

Role: Snowflake Architect

Location: Oakland, CA (San Francisco Bay Area)

Employment Type – Contract to Hire

Job Overview

The Data Analytics and Insights team is seeking an experienced and talented Senior Data Engineer to join our growing team of analytics experts. As a key member of our team, you will play an essential role in the design, development, and maintenance of data pipelines, data products, and analytic products in enterprise snowflake. The ideal candidate will have a strong background in data engineering, with specific expertise in Informatica and Snowflake. This role will involve working closely with our business stakeholders, data analysts, and data scientists to ensure the efficient development and management of our data infrastructure.

You will have a unique opportunity to be at the forefront of the utility industry and gain a comprehensive view of the nation’s most advanced smart grid. It is the perfect role for someone who would like to continue to build upon their professional experience and help advance PG&E’s sustainability goals.

Key Responsibilities

• Develop and optimize cloud-based data storage and processing solutions using Snowflake.
• Design, implement, and maintain robust data pipelines and ETL processes
• Collaborate with Federated teams and other data engineers to understand data requirements and deliver high-quality data solutions.
• Ensure data integrity and security across all data workflows and storage solutions.
• Monitor and troubleshoot data pipelines, addressing any issues promptly to ensure the smooth flow of data.
• Develop reusable and modular stored procedures and scripts for data processing.
• Contribute to the development and implementation of data governance and best practices.
• Monitor and troubleshoot data pipelines to ensure reliability and accuracy.
• Implement best practices for data governance, data quality, and metadata management.

Minimum Qualifications

• Bachelor’s or master’s degree in computer science, Engineering, or a related field.
• Minimum of 5 years of experience in data engineering or a related role.
• Proven experience with Snowflake is required.
• Knowledge of data warehousing concepts, dimensional modeling, and performance tuning.
• Hands-on experience with ETL tools (e.g., Informatica, Talend, dbt, or custom ETL frameworks).
• Strong proficiency in SQL and database management.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with version control (Git) and CI/CD for data pipelines.
• Familiarity with Big Data technologies such as Hadoop, Spark, and Kafka is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.

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

This key role drives consistency across QA systems and processes for the Clinical QA team, identifying issues and risks, escalating in a timely fashion, and aligning metrics that provide input into a compliance scorecard for Clinical programs. This leader provides insight and partners with both GCP QA staff and Clinical Operations Quality Management (OQM) to address day-to-day clinical trial operations activities focused on deviations, investigations, audit findings and CAPAs. This role operates across all the Clinical project teams and provides training with inspection readiness activities as required.

Essential Duties And Responsibilities:

• Responsible for designing and coordinating a comprehensive view and aligning standards on Quality systems across Clinical Quality Assurance.
• Assesses current state, identifies gaps, develops an action plan, implements improvements, and monitors the Quality Systems and internal processes related to GCP QA activities
• Develops, tracks, and manages periodic management reports focused on track and trend data for key Clinical and QA metrics driving the quality health of the GCP activities.
• Reviews and approves Deviations, and Corrective and Preventive Actions (CAPAs)
• Partners with other groups including Regulatory Affairs, Clinical Operations, Translational Medicine, regarding compliance issues and provides compliance guidance
• Maintains knowledge of current Health Authority regulations and standards and informs Clinical Development stakeholders of potential impact on the organization
• Represents CQA in internal presentations on quality issues, initiatives, and projects
• Identifies issues and risks and proposes options and solutions, escalating risks in a timely manner.
• Participates in identifying and implementing process and system improvements

Supervisory Responsibilities:

None

Education/Experience/Knowledge & Skills:

• Bachelor's degree in science (e.g., biology, chemistry, pharmacy, medical, mathematics, engineering, or a related field) and a minimum of 11 years of relevant experience; or,
• Master's degree in science (e.g., biology, chemistry, pharmacy, medical, mathematics, engineering, or a related field) and a minimum of 9 years of relevant experience; or,
• PhD degree in science (e.g., biology, chemistry, pharmacy, medical, mathematics, engineering, or a related field) and a minimum of 5 years of relevant experience; or,
• Equivalent combination of education and experience.

Experience/The Ideal for Successful Entry into Job:

• Minimum of 10 years relevant experience in pharmaceutical and biotech industries.
• Experience in Good Clinical Practices highly desired
• Demonstrated experience in Quality Systems including critical analysis of impact and continuous improvement processes
• Strong understanding of Quality Risk Management
• Experience using standard MS Office

Knowledge/Skills:

• Understanding of the drug development process, particularly related to QA oversight of clinical trials
• Experience in assisting in the development of business strategies, metrics, and continuous improvements
• Working knowledge of Health Authority rules and regulations
• Proven ability to manage Quality Systems, assuring completeness and acceptability as defined for GCP.
• Ability to apply Quality Risk Management in a variety of situations across Quality Systems
• Ability to influence others as part of a collaborative team and negotiate effective solutions
• Strong interpersonal and social skills
• Identifies and implements methods, techniques, procedures, and evaluation criteria to achieve results.
• Detail-oriented in execution of tasks and processes
• Implements technical solutions within quality requirements to complex problems.
• Excellent verbal and written communication skills
• Exercises judgment within defined procedures and practices to determine appropriate action.
• Provides insight and analysis of situations or data requires a review of a variety of factors.

Working Conditions:

• Environment: primarily working in laboratories or in office
• Infrequent travel may be required.

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The base pay range for this position is $153,500 - $217,000 annually. The base pay range may take into account the candidate's geographic region, which will adjust the pay depending on the specific work location. The base pay offered will take into account the candidate's geographic region, job-related knowledge, skills, experience and internal equity, among other factors. In addition to the base salary, as part of our Total Rewards program, Exelixis offers comprehensive employee benefits package, including a 401k plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts. Employees are also eligible for a discretionary annual bonus program, or if field sales staff, a sales-based incentive plan. Exelixis also offers employees the opportunity to purchase company stock, and receive long-term incentives, 15 accrued vacation days in their first year, 17 paid holidays including a company-wide winter shutdown in December, and up to 10 sick days throughout the calendar year.

The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Responsibilities:

• Ensure all design control activities for new and updated products meet company procedures and global regulatory requirements.
• Lead risk management activities, including hazard analysis, FMEAs, and risk documentation.
• Support sterilization and biocompatibility assessments.
• Own and maintain design control documentation.
• Partner with R&D, Regulatory, Manufacturing, and Project Management to ensure quality is built into every stage of product development.
• Maintain accurate test, validation, and risk records and report progress to leadership.
• Support regulatory submissions (e.g., 510(k), CE Mark).
• Lead root cause investigations and corrective actions related to design issues.
• Support complaint investigations, nonconformances, and CAPAs after product launch.
• Conduct DHF audits to ensure phase completion requirements are met.
• Review and approve engineering documents and test reports.
• Identify opportunities to improve product quality, reduce cost, and increase efficiency.

Requirements

• Bachelor’s degree in Engineering or related field.
• 10+ years of quality engineering experience in medical devices, including new product launches.
• Experience with sterilization and biocompatability
• Strong knowledge of design controls, risk management, and medical device regulations (FDA, ISO, IEC).
• Experience with verification & validation (V&V) and FMEAs.
• Strong problem-solving and statistical analysis skills (e.g., Minitab, JMP).
• Detail-oriented with strong documentation skills.
• Quality certifications (CQE, CSQE, Six Sigma) are a plus.

SBT is the exclusive retained recruiting firm for this position.

Company Overview

This confidential startup is a well-funded early-stage semiconductor company focused on advancing AI-driven design to address emerging challenges in the artificial intelligence ecosystem. The company is developing innovative technologies that leverage automation and machine learning to accelerate the design and development of complex analog semiconductor solutions. By applying AI to traditionally manual and time-intensive design processes, the organization aims to unlock faster innovation cycles and enable the next generation of AI hardware infrastructure.

Job Role

• Design and implement digital control logic for power management ICs
• Work closely with analog engineering teams to ensure effective integration between digital control blocks and analog power circuitry
• Develop high-quality, power-efficient RTL using Verilog or SystemVerilog to support key features
• Contribute to product readiness for manufacturing by supporting design-for-test methodologies
• Create and execute comprehensive verification strategies, including mixed-signal simulations and behavioral modeling

Qualifications

• BS or MS degree in Electrical Engineering, Computer Engineering, or a related field.
• 10+ years of experience in digital IC design, including significant experience developing solutions for mixed-signal or power management semiconductor products.
• Strong proficiency in RTL development using Verilog or SystemVerilog for synthesizable digital design.
• Hands-on experience designing digital control logic for power conversion systems, including control loops used in power management or DC-DC converter applications.

Open date: February 23, 2026

Most recent review date: Tuesday, Mar 10, 2026 at 11:59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Wednesday, Mar 25, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Helen Wills Neuroscience Institute at the University of California, Berkeley seeks applications for a Postdoc in the Bouchard Lab, in the area of theoretical neuroscience. The Bouchard lab at UC Berkeley is an interdisciplinary team that focuses on understanding how distributed neural circuits give rise to coordinated behaviors and perceptions. There will be collaboration with the lab members at LBNL. We are looking for a post-doctoral researcher to work at the interface of control theory, information theory, dynamical systems, statistical machine learning, and neural time-series data. The goal is to better understand principles and mechanisms underlying distributed brain network computations through the dual lenses of control theory and information theory. This position will focus on developing and applying theory, models, and methods that provide principled understanding of simultaneous multi-region, high-dimensional neural population dynamics from diverse brain areas.

The position is located at UC Berkeley (UCB), in collaboration with Lawrence Berkeley National Laboratory (LBNL), and is part of a broader collaborative effort between UCSF, LBNL, UCB, and UC Davis. This Bay Area collaboration combines UCSF/UCD's strong clinical and experimental neuroscience experience with in vivo cortical electrophysiology, UCB's expertise in theoretical neuroscience, statistical learning and data analysis, LBNL's supercomputing and applied mathematics together with electronics and micro-fabrication. Successful applicants will have access to the full range of facilities and expertise uniquely allowed by this collaboration.

Responsibilities:

* designing and executing theory, models, methods

* application of developed theory, models, methods to neural population dynamic data

* manuscript preparation

* presenting research at lab meetings and scientific conferences

* contributing to grant proposals

* mentoring students

Lab:

PhD (or equivalent international degree) or enrolled in a PhD (or equivalent international degree) program.

• 
  
• PhD (or equivalent international degree) required by the appointment start date.
  
• No more than three years of post-degree research experience by start date.
  

• 
  
• Expertise in theoretical neuroscience
  
• Excellent writing and communication skills
  
• Strong publication record in peer reviewed journals
  
• PhD in neuroscience, computer science, physics, electrical engineering, mechanical engineering, etc.,
  
• Demonstrated expertise in developing and applying methods for the analysis of neural population data.
  
• Experience in control theory, information theory, and/or machine learning desirable, required.
  

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Statement of Research

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Open date: February 26, 2026

Next review date: Thursday, Mar 12, 2026 at 11:59pm (Pacific Time)

Apply by this date to ensure full consideration by the committee.

Final date: Saturday, Mar 28, 2026 at 11:59pm (Pacific Time)

Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

The Advanced BioImaging Center (ABC) in the Department of Molecular and Cell Biology at the University of California, Berkeley seeks applications for a Professional Researcher at the Assistant, Associate, or Full rank. The selected candidate will be appointed at the rank to commensurate with prior experience. The position will report to Professor Gokul Upadhyayula, with Professor Eric Betzig serving as an additional academic mentor. The researcher will conduct independent research at a level comparable to the Professor series.

The Advanced BioImaging Center (ABC) at UC Berkeley aspires to be a world-leading multidisciplinary imaging center that drives important biological discoveries through critical new advances in all aspects of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific productivity and impact by adopting groundbreaking imaging technologies such as the next-generation adaptive optical multifunctional microscope, incorporating the high-level technical expertise of instrumentation scientists, applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing, visualization, and dissemination. Members of the ABC have access to leading - edge imaging and computing hardware, as well as exposure to collaborators from a range of diverse disciplines, including in the fields of Artificial Intelligence, Data Science, Mathematics, and more.

This position will focus on advanced, independent research leading the ABC computational team to develop vision-transformer-based foundation machine learning models. The Researcher will work closely with an interdisciplinary team of optical physicists, engineers, and computational imaging researchers to achieve the ambitious goal of creating a generative AI model for segmenting and querying complex 4D high-resolution data of zebrafish development. This is an exciting opportunity to contribute to advancing biological imaging and AI-driven data analysis at the intersection of biology and computational science.

As this project grows, the individual will be expected to expand their leadership and adapt to the evolving scope of the research. The role will begin with leading efforts to supervise data collection and management, model development, and collaborating with leadership across the center. The researcher will build and manage a team of data scientists, and computational biologists to test AI-driven imaging models and will facilitate scientific collaborations with local, domestic, and international researchers. This position will take on a growing role and contribute to a groundbreaking initiative in biological imaging.

Key Responsibilities:

*Conduct and design independent research and lead a team of data scientists and software engineers to enable the development of state-of-the-art AI models for light sheet microscopy data.

*Collaborate with experts in optical physics, engineering, and computational imaging to support a foundational AI model for high-resolution developmental biology data.

*Conduct and lead experimental design, data acquisition, and data analysis pipelines to ensure optimal data quality.

*Facilitate and maintain scientific collaborations with local, domestic, and international researchers as the project expands.

*Publish research findings in high-impact journals and presenting at scientific conferences.

*Supervise and mentor graduate students, postdoctoral fellows, staff scientists, and academic research titles involved in machine learning and biological data analysis.

*Lead the development of new AI models and data processing tools for datasets generated on multicellular tissues, organoids, transparent embryos.

*Oversee the design and development of new machine learning tools for petabyte-scale light sheet datasets that are typically 4D or 5D (x,y,z,t,chemistry).

*Advise on applications of these tools for biological imaging; collaborate with graduate students, postdoctoral fellows and academic research titles on specific projects to test, learn and implement for general and specific use cases.

*Bring cross disciplinary expertise to solve problems at the intersection between life science, computer vision, and state-of-the-art AI methods.

*Identify and study scaling laws for machine learning models on large-scale 5D light sheet datasets.

*Organize and plan on the design and development of new AI techniques to further ABC's mission.

Lab:

PhD (or equivalent international degree)

Two (2) years of post PhD research experience.

For consideration for Associate Researcher rank, a minimum of 8 years of post PhD research experience as a group leader or principal investigator (PI) supervising a team of PhD-level scientists in industry or academia.

For consideration for full Researcher rank, a minimum of 14 years post PhD research experience, including a minimum of 8 years of experience leading a team as a principal investigator (PI) at the university level or in industry with demonstrated success managing graduate students, postdoctoral researchers, technicians, or equivalent positions.

*PhD or equivalent international degree in Data Science, Computer Science, Bioinformatics or Related field.

*Hands-on experience with developing machine learning models for large-scale light sheet microscopy.

*Strong publication record indicating research independence and leadership.

*Excellent communication, organizational, and leadership skills.

*Proven track record of interdisciplinary collaboration, especially in integrating machine learning with biological research, physics, engineering, or computational fields.

*Demonstrated experience working with large-scale biological datasets, including experience with computational image analysis.

*Demonstrate understanding of optical microscopy, including light sheet microscopy, adaptive optics, and modern scientific cameras.

*Demonstrated ability to work in a research team, manage active collaborations with other academic groups.

*Demonstrated experience handling and processing large scale imaging datasets (>100TB to petabyte scale and beyond).

*Expertise in programming in C/C++, MATLAB, Bash.

*Expertise in databases, data infrastructure, data governance.

*Expertise in high performance computing using SLURM or LSF.

*Experience with PyTorch, JAX, or Tensorflow.

*Experience with NVIDIA CUDA and related OpenMP programming.

*Experience with cloud services (AWS, GCP, Azure, etc.).

*Experience with state of the art AI/ML architectures (vison transformers, diffusion models, etc.).

*Experience supervising and mentoring undergraduate/graduate students, and/or technicians.

*Ability to effectively communicate, participate in efficient and open collaboration, and engage with a diverse group of researchers.

*The ideal candidate will be innovative and able to synergize various ideas and approaches, while exercising sound judgment to evaluate and take acceptable risks.

*Expertise in leading teams in executing machine learning projects, as evidenced by last author peer-reviewed publications within their scientific discipline.

*Readiness to scale efforts and grow with the expanding scope of the project, including building and managing a team and facilitating collaborations.

• Curriculum Vitae - Your most recently updated C.V.

  
  

• Cover Letter

  
  

• Research Statement - Please discuss research accomplishments and proposed plans. This can include, for example, your publication record, awards, presentations, inclusive research practices that promote the excellence of your research, and areas for future research.

  
  

• 3 required (contact information only)

Help contact:

UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy (APM 210 1-d). These values are embedded in our Principles of Community, which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.

The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.

For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy.

In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

• 
  
• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  
• UC Sexual Violence and Sexual Harassment Policy
  
• UC Anti-Discrimination Policy
  
• APM - 035: Affirmative Action and Nondiscrimination in Employment
  

Role: Engagement Manager– Digital Health Experience

Location: Remote (U.S.)

Duration: 6-Month Contract

Working Time Zone: PST (Pacific Time Zone)

Position Overview

We are seeking a Engagement Manager– Digital Health Experience to lead the deployment, adoption, and engagement optimization of mobile digital health applications within the U.S. healthcare ecosystem. This role requires a hands-on professional with strong experience in launching digital health platforms, managing deployments, and driving sustained patient engagement through data-driven engagement strategies.

The ideal candidate will have experience deploying consumer-facing healthcare applications used by patients across providers and payer organizations, while leveraging engagement tools and analytics platforms to improve patient adoption, retention, and usage metrics such as DAU/MAU.

This role will work closely with product, engineering, digital marketing, and care management teams to ensure successful rollout of mobile applications and to design engagement loops that increase patient participation and long-term platform usage.

Key Responsibilities

• Lead deployment and rollout of mobile digital health applications across healthcare provider or payer environments.
• Manage end-to-end implementation and project management of digital health platforms, ensuring successful launches and smooth adoption by patient populations.
• Design and implement patient engagement strategies and engagement loops to drive consistent application usage and retention.
• Utilize engagement platforms such as , Intercom, Mixpanel, or similar tools to design communication workflows, patient messaging, and engagement campaigns.
• Monitor and optimize digital engagement metrics, including DAU, MAU, retention rates, and user engagement trends.
• Analyze user behavior data and analytics to improve patient onboarding, engagement journeys, and digital experience.
• Collaborate with product, analytics, and engineering teams to continuously enhance patient engagement features and workflows.
• Coordinate with healthcare stakeholders to ensure digital tools align with clinical workflows and patient care programs.

Required Qualifications

• Strong experience in deploying and managing digital health applications within healthcare provider or payer environments.
• Hands-on experience in project management and platform implementation for consumer-facing digital products.
• Experience driving user engagement, retention, and adoption for mobile or digital applications.
• Familiarity with engagement platforms such as , Intercom, Mixpanel, or similar customer engagement and analytics tools.
• Experience tracking and optimizing digital engagement metrics such as DAU, MAU, retention, and user lifecycle engagement.
• Strong analytical and problem-solving skills with the ability to translate data insights into engagement improvements.

Preferred Qualifications

• Experience working within digital health, healthcare technology, or healthcare consumer platforms.
• Familiarity with healthcare ecosystems including provider systems, payer platforms, and patient engagement solutions.
• Experience integrating engagement tools with mobile health applications or digital health platforms.
• Background working with health systems, health plans, digital health startups, or healthcare technology consulting firms.