Engineering Structures Jobs in Modjeska Canyon, CA

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.

• Pursuing opportunities at institutions such as Naval Postgraduate School (NPS) or Navy War College (NWC)
• Completing Joint Professional Military Education (JPME) at one of the various service colleges

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.

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
  

Pacific International has been exclusively retained by a global leader in the development and production of consumer electronic components, enabling their customers to innovate and expand capabilities.

As they have sustained themselves as a global market leader, they are looking for an Account Director to further expand their reach in the consumer electronics industry. This is a highly visible position with the opportunity to build and deploy strategies for a global organization.

Key Responsibilities

• Lead customer strategy, serving as the primary point of contact and building strong cross‑functional relationships while overseeing commercial and technical initiatives.
• Identify new technology opportunities, expand engagement across business units, and pursue growth with additional OEMs by aligning solutions to customer roadmaps.
• Coordinate with global engineering, operations, and program teams to drive successful development from concept through mass production.
• Lead pricing negotiations, contract and agreement reviews, and annual planning to drive revenue growth while ensuring profitability and long‑term alignment.
• Monitor market trends, emerging technologies, and competitive activity to guide strategy.
• Maintain accurate forecasting, pipeline visibility, and account documentation using CRM and internal tools.

Ideal Candidate Profile

• Bachelor’s degree in engineering, Business, or a related field
• 7-10+ years of sales experience in the consumer electronics or electronic component industry.
• Direct experience managing relationships with consumer electronic OEMs is required.
• Experience managing global customers,
• Proven ability to manage multi-stakeholder accounts within the consumer electronics industry.

About Pacific International Executive Search:

Pacific International, a globally recognized retained executive search firm, is dedicated to empowering Fortune 500, FTSE 100, and high-growth enterprises in building exceptional C-suite, senior-level, and strategic leadership teams while championing diversity and inclusion. Our adaptability, agility, and forward-thinking ethos distinguish us in the ever-evolving business landscape.

Since 1997, we have been dedicated to building lasting client partnerships based on trust and reliability, and a proven track record of successful C-suite and mid- to senior-level leadership project delivery across many key industries globally.

Diversity Statement:

At Pacific International, diversity, equity, and inclusion are at the core of who we are and what we do. Our commitment to these values is unwavering and we proudly champion diversity on behalf of our clients in every Executive Search mandate we undertake. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status, or other characteristics protected by law. In pursuit of these objectives, we actively encourage applications from individuals of all backgrounds and identities.

A leading corporate venture and innovation team at a global mobility firm HQ'd in Asia is hiring an Associate / Senior Associate to help lead early-stage investments and oversee strategic partnerships with high-growth startsup in various sectors including mobility, deep tech, climate tech, AI, robotics, advanced manufacturing and energy.

Please note that this position will begin as a 6 to 12 month contract, with the goal of transitioning to a long term full-time perm hire. The team has a strong track record of converting contractors into full-time roles, and this position is being scoped with long-term fit in mind.

This role sits at the intersection of venture investing, corporate development, and tech integration—ideal for someone who thrives in fast-moving, cross-functional environments and is passionate about emerging technologies. This is a rare opportunity to join a venture group backed by a Fortune Global 100 company — focused not on financial return, but on investing for long-term strategic technology advantage.

Key Responsibilities:

• Source and evaluate early-stage startups (Seed to Series B) across sectors like climate tech, robotics, advanced manufacturing, and AI
• Lead proofs of concept (POCs) and internal pilot projects with engineering and business teams
• Conduct strategic diligence and support investment decisions
• Manage post-investment partnerships and cross-functional implementation
• Coordinate with global stakeholders, including R&D and innovation teams abroad

Candidate Profile:

• 2–7+ years of experience in corporate development, corporate venture capital, VC, innovation, or strategic partnership
• Strong understanding of startups and emerging technology trends
• Technical or engineering background preferred
• Experience with pilot programs, startup collaboration, or venture incubation is a plus
• Comfortable navigating complex organizations and building cross-functional consensus
• Japanese language fluency a strong plus but not required

We are hiring Full-Stack Enterprise AEs who can own the entire revenue cycle — from prospecting to closing and expansion.

This is not a traditional “wait for SDR handoff” role.

You will operate as a self-sufficient seller empowered with:

• FlashRev list-building
• AI SuperAgent
• Parallel Dialer
• AI Meeting Agent
• Automated workflows

Your Mission:

Land and expand 6–7 figure deals with U.S. and global enterprise customers.

You will sell FlashLabs’ AI GTM automation to:

• Fintechs (payments, wallets, neobanks)
• Insurtech
• Lending & BNPL platforms
• Brokerages & wealth tech
• Exchanges
• Compliance-driven fintech teams

Key Responsibilities

• Own the full sales cycle: from ICP targeting → outbound → qualification → demo → proposal → close → expansion.
• Conduct high-impact discovery with VPs, C-suite, and transformation teams.
• Deliver tailored demos of FlashLabs SuperAgent, FlashAI Voice, FlashRev, and AIFlow.
• Use our AI outbound engine + self-sourced pipeline to drive meetings.
• Conduct intelligent prospecting (email, LinkedIn, phone, AI agents).
• Build and maintain a strong top-of-funnel independently.
• Lead multi-threaded enterprise sales cycles (6–12 weeks).
• Handle InfoSec, legal, procurement, and compliance reviews.
• Build ROI, business cases, and transformation proposals.
• Drive land-and-expand motions across teams, departments, and regions.
• Partner with CS to ensure adoption and value realization.
• Grow accounts into multi-year, high-ACV partnerships.
• Become a domain expert in AI GTM automation.
• Relay product feedback to engineering to guide the roadmap.
• Represent FlashLabs at industry events, webinars, and executive briefings.

Straive is a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit.

Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail and logistics, helping them build robust data analytics and AI capabilities.

With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective.

Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT.

Website: Title: Account Manager - Tech & Media Vertical

Location: West Coast, USA

Job Type: FTE

Role Overview

We are seeking an experienced Account Manager to own and grow key West Coast accounts in the Tech & Media vertical. This role sits at the intersection of data, analytics, AI, technology, and operations, partnering with leading technology platforms, media companies, and digital-first brands to drive measurable business outcomes.

You will be responsible for end-to-end account management: relationship development, solution adoption, commercial growth, and cross-functional coordination to ensure exceptional delivery.

Key Responsibilities

Account Ownership & Growth

• Serve as the primary point of contact for a portfolio of West Coast Tech & Media clients.
• Develop and execute strategic account plans focused on retention, expansion, and upsell/cross-sell opportunities.
• Meet or exceed revenue, renewal, and growth targets for assigned accounts.
• Identify new business opportunities within existing accounts, including new use cases for data, analytics, AI, and technology solutions.

Client Relationship Management

• Build strong, trusted advisor relationships with senior stakeholders (e.g., Marketing, Product, Data/Analytics, Operations, IT).
• Lead regular business reviews, performance updates, and strategic planning sessions.
• Proactively manage client expectations, resolve issues, and ensure high levels of satisfaction and advocacy.

Solution & Value Delivery

• Deeply understand our data, analytics, AI, and technology offerings and how they apply to Tech & Media use cases (e.g., audience insights, content optimization, ad performance, personalization, operational efficiency).
• Translate client business objectives into solution roadmaps and measurable KPIs.
• Partner with internal teams (Product, Data Science, Engineering, Operations, Professional Services) to ensure successful onboarding, implementation, and ongoing optimization.
• Analyze performance data and provide actionable insights and recommendations to clients.

Operational Excellence

• Maintain accurate account plans, forecasts, and pipeline in CRM and reporting tools.
• Coordinate contract renewals, SOWs, pricing discussions, and commercial negotiations.
• Ensure timely and high-quality delivery of projects, reports, and services.
• Gather client feedback and market intelligence to inform product roadmap and go-to-market strategies.

Qualifications

Required

• 4–7+ years of experience in account management, client success, or strategic partnerships, preferably in:
• Ad tech / martech
• Media & entertainment / streaming
• SaaS / data & analytics / AI platforms
• Proven track record of managing and growing enterprise or strategic accounts.
• Strong understanding of data, analytics, and/or AI-driven solutions and how they impact business performance.
• Experience working with cross-functional teams (sales, product, data/analytics, operations, engineering).
• Excellent communication, presentation, and storytelling skills, with the ability to simplify complex technical concepts for business stakeholders.
• Strong analytical skills; comfortable working with dashboards, reports, and performance metrics.
• Based on or able to work effectively with clients across the US West Coast time zone.

Preferred

• Experience with major Tech & Media companies (e.g., platforms, publishers, streaming services, gaming, digital content).
• Familiarity with digital advertising, audience measurement, attribution, or marketing analytics.
• Experience with CRM tools (e.g., Salesforce), BI tools (e.g., Tableau, Looker, Power BI), and collaboration tools (e.g., Slack, Jira).
• Bachelor’s degree in Business, Marketing, Communications, Data/Analytics, or related field; MBA or equivalent experience a plus.

Key Competencies

• Client-centric mindset and strong relationship-building skills
• Commercial acumen and negotiation skills
• Strategic thinking with the ability to connect data and technology to business outcomes
• Problem-solving and issue resolution under time pressure
• High ownership, accountability, and follow-through
• Ability to work independently and collaboratively in a fast-paced, evolving environment

This job description is not intended to cover or contain a comprehensive listing of all responsibilities, duties, or activities that are required. Responsibilities, duties, and/or activities may change, or new ones may be added at any time with or without notice.

If you are a motivated professional with a passion for delivering impactful solutions, we’d love to hear from you. Apply today to be part of a dynamic and forward-thinking team at Straive.

“Straive is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation.

We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.”