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Ethernovia

<div><div>About Ethernovia, Inc.

Ethernovia is developing the future of Ethernet-based networks to realize the full potential of software-defined and autonomous vehicles, robotics and other intelligent machines. Founded in 2018, the company's breakthrough data transport and acceleration technology is ushering in a new era of connectivity and capabilities in the vehicle and at the edge, including highly reliable autonomy, over-the-air servicing and AI-backed applications.

Ethernovia's co-founders are serial technology entrepreneurs with multiple prior successful ventures together. We are well-funded and backed by some of the worlds' leading technology investors, having secured $154M ($90+M Series-B and $64M Series-A) in total funding to date:
<ul>
<li>Ethernovia Raises Over $90 Million Series B to Scale Leading-Edge Autonomy and Physical AI Networking Chips</li>
<li>Ethernovia Raises $64 Million to Accelerate the Revolution of Vehicle Networks | Business Wire
<ul><li>(financial backers include: Porsche SE, Qualcomm, AMD, Western Digital, Maverick Silicon, Socratic Partners, Conduit Capital, and CDIB-TEN Capital)</li>
</ul>
</li></ul>Ethernovia has been recognized in EE Times' prestigious list of the Top 100 Startups for 2025.
<ul>
<li>March 2026: Ethernovia Announces HSB-Enabled Networking Board for NVIDIA Holoscan Platforms</li>
<li>January 2024: Our CEO Ramin Shirani Named MotorTrend Software-Defined Vehicle Innovator Awards Winner (ethernovia.com)</li>
<li>September 2023: Continental and Ethernovia Announce Partnership to Develop Automotive Switch in 7nm - Ethernovia</li>
<li>Connected Car News: Helios, Continental, Ethernovia, Avanci, BMW, Mapbox, Porsche, SEMA, Honda, UltraSense, Flex Logix, Diodes Inc., Garmin, Toyota &amp; Caruso | auto connected car news</li>
</ul>
With talented employees on 4 continents, we have filed 50+ patents to date.

Join Ethernovia's team to make a lasting impact on the future of packet processor-centric networking solutions to support the real-time sensor, Physical AI, and control data demands of software-defined autonomy across vehicles, robots and intelligent machines. Come share in our success with pre-IPO shares, competitive compensation, and great benefits while growing your knowledge and career with world class talent. We are looking for talented engineers and leaders who have an entrepreneurial spirit and want to drive cutting edge designs from concept to silicon to the future of mobility.</div>
Lead Systems/DSP Engineer

Summary:

We are seeking a seasoned DSP / System Architect to lead the design of next-generation high-speed (25G+) physical layer (PHY). In this role, you will define and drive the end-to-end DSP architecture, from system-level modeling through silicon validation, enabling highly optimized, low-power, and high-performance transceiver implementations.

This is a high-impact technical leadership role at the intersection of signal processing, mixed-signal design, and system architecture. You will work closely with cross-functional teams to translate advanced algorithms into robust, production-ready silicon.

Key Responsibilities

System Architecture &amp; Technical Leadership
<ul>
<li>Define and own the DSP/system architecture for high-speed transceivers, balancing power, performance, and silicon area</li>
<li>Drive key architectural decisions across DSP, analog front-end, and system partitioning</li>
<li>Lead system-level trade-offs and provide technical direction across the organization</li>
</ul>
Modeling &amp; Algorithm Development
<ul>
<li>Develop and maintain high-fidelity system models of complete transceivers using MATLAB, Simulink, Python, and/or C++</li>
<li>Design, evaluate, and optimize advanced equalization techniques, including FFE, DFE and MLSD</li>
<li>Architect robust Clock and Data Recovery (CDR) solutions with wide frequency acquisition range and very low phase noise</li>
<li>Develop efficient and advance echo cancellation algorithms for full-duplex high-speed links optimizing for power and silicon area</li>
<li>Design adaptive DSP algorithms with strong focus on rate of convergence, robustness, and implementation efficiency</li>
<li>Develop channel model including nonlinear effects and complex noise sources</li>
</ul>
System Integration &amp; Cross-Functional Collaboration
<ul>
<li>Translate system-level requirements into block-level specifications (AFE, ADC/DAC, PLL, DSP blocks, etc.)</li>
<li>Collaborate closely with analog, RTL, and physical design teams to ensure accurate and efficient implementation</li>
<li>Ensure alignment between algorithm models and hardware realization</li>
</ul>
Silicon Validation &amp; Productization
<ul>
<li>Drive pre-silicon to post-silicon correlation, ensuring models accurately predict silicon behavior</li>
<li>Define and support silicon bring-up, characterization, and debugging</li>
<li>Establish lab validation methodologies and support compliance testing and performance benchmarking</li>
<li>Contribute to system-level bring-up and production ramp readiness</li>
</ul>
Qualifications

Required
<ul>
<li>MS or PhD in Electrical Engineering or a related discipline</li>
<li>10+ years of experience in DSP/system architecture for high-speed communication systems</li>
<li>Deep expertise in digital communications theory including advanced, efficient and adaptive equalization and echo cancellation algorithms, CDR algorithms, phase noise characterization and loop dynamic analysis, channel modeling and nonlinear effects</li>
<li>Strong hands-on experience with system modeling tools (MATLAB, Simulink, Python, C++)</li>
<li>Solid understanding of mixed-signal design fundamentals, including ADC/DAC architectures, PLL behavior and phase noise analysis, channel and analog front-end modeling including non-idealities</li>
<li>Proven track record of driving complex systems from concept to silicon</li>
</ul>
Preferred
<ul>
<li>Experience in designing high-speed IEEE 802.3 transceivers for automotive, robotics and data center applications over both optical and copper channels</li>
<li>Prior technical leadership or mentoring experience</li>
</ul>
What You Can Expect From Ethernovia:
<ul>
<li>Technology depth and breadth expansion that can't be found in a large company</li>
<li>Opportunity to grow your career as the company grows</li>
<li>Pre IPO stock options</li>
<li>Cutting edge technology</li>
<li>World class team</li>
<li>Competitive base salary</li>
<li>Flexible hours</li>
<li>Medical, dental and vision insurance for employees</li>
</ul>
Salary Range:
<ul>
<li>The actual offered base salary for U.S. locations will vary depending on factors such as work location, individual qualifications, specializations, years of experience, skills, job-related knowledge, and internal equity. The annual salary range for this position is $180,000 - $250,000. The compensation package will also include incentive compensation in the form of pre-IPO ISO options, in addition to base salary and a full range of medical and other benefits.</li>
</ul>
<ul><li>Principals Only (No Agencies)</li></ul>

#LI-Hybrid</div>

Lead Systems/DSP Engineer

David Joseph & Company

<div>San Francisco, CA &middot; On-site &middot; Full-time 
Compensation: $180,000&ndash;$220,000 + competitive equity<h2 class="jobSectionHeader">
About the Company</h2>
An early-stage (post&ndash;Series A) company building the training data and evaluation infrastructure that frontier AI labs use to improve their models &mdash; designing high-signal datasets and running rigorous evaluations that go beyond static benchmarks. A small team where individual contributors have direct impact on how the next generation of models learns. The company has raised $30M (~$300M valuation), with a founding team drawn from Jane Street, Citadel, Google, Goldman, and Stanford AI Lab.
Founded 2025 &middot; 11&ndash;50 people &middot; Industry: Consumer Tech<h2 class="jobSectionHeader">
The Role</h2>
As a SWE (Environments), you'll design the datasets and evaluation rubrics that directly influence how frontier models learn &mdash; going from hypothesis to live experiment quickly, with output feeding directly into model training runs at scale.
What you'll be doing<ul><li>
Design data slices and explore data shapes that expose meaningful model failure modes across domains like finance, code, and enterprise workflows</li><li>
Build and refine evaluation rubrics and reward signals for RLHF and RLVR training pipelines</li><li>
Model annotator behavior and run experiments to improve different model capabilities</li><li>
Develop quantitative frameworks for measuring dataset quality, diversity, and downstream impact on model alignment and capability</li><li>
Create and manage both real-world and synthetic data pipelines</li><li>
Partner with lab research teams to translate their training objectives into concrete data and evaluation specifications</li></ul>
Tech stack: Not specified<h2 class="jobSectionHeader">
Requirements</h2><ul><li>
1&ndash;4 years of software engineering experience with strong technical depth</li><li>
Design targeted data slices that surface model failure modes across high-stakes domains (finance, code generation, enterprise workflows)</li><li>
Build and iterate on evaluation rubrics and reward signals powering RLHF and RLVR training pipelines</li><li>
Develop quantitative frameworks to measure dataset quality, diversity, and downstream impact on model alignment and capability</li><li>
Own end-to-end real world and synthetic data pipelines, from scoping with research teams to production-ready evaluation specs</li><li>
Run annotator modeling experiments to improve model capabilities across task types</li></ul><h2 class="jobSectionHeader">
Green Flags</h2><ul><li>
Experience at RL environment companies</li><li>
Background in AI safety or benchmarking organizations like METR or Artificial Analysis</li><li>
Genuine obsession with how data structure, selection, and quality drive model behavior</li><li>
Ability to design lightweight experiments and move fast</li><li>
Former founders or early engineers at early stage startups</li><li>
Demonstrated ability to work hard, learn fast, and care deeply about details</li></ul><h2 class="jobSectionHeader">
Red Flags</h2><ul><li>
Pure research profile with limited engineering output, this is a SWE role, shipping matters</li><li>
Looking for standard product engineering work &mdash; the real scope is data pipelines, reward modeling, and eval infra</li></ul><h2 class="jobSectionHeader">
Why Join</h2><ul><li>
Outsized total cash: base plus substantial profit share, plus competitive equity</li><li>
Direct impact on frontier AI model development, working with the world's leading AI labs</li><li>
High ownership on a small, early team &mdash; scope, build, and ship end to end</li></ul><h2 class="jobSectionHeader">
Details</h2><ul><li>
Location: San Francisco, CA</li><li>
Work policy: On-site</li><li>
Compensation: $180,000&ndash;$220,000 + equity</li><li>
Visa sponsorship: O-1, OPT</li><li>
Employment type: Full-time</li></ul></div>

Software Engineer, RL Environments

<div>San Francisco, CA &middot; On-site &middot; Full-time 
Compensation: $130,000&ndash;$150,000 base (up to $300K total cash comp) + equity<h3 class="jobSectionHeader">
About the Company</h3>
A fast-growing, venture-backed AI company building the training data and evaluation infrastructure that leading frontier AI labs use to improve their models &mdash; designing high-signal datasets and running rigorous evaluations that go beyond static benchmarks. One of the fastest-growing companies in its cohort.
Founded 2025 &middot; 11&ndash;50 people &middot; Industry: AI training data &amp; model evaluation infrastructure<h3 class="jobSectionHeader">
The Role</h3>
A founding-level role at the intersection of technical execution and strategic leadership. You'll own high-impact initiatives end-to-end &mdash; from requirements through delivery &mdash; managing teams of engineers, data scientists, and ML specialists while shipping production code yourself, and interfacing directly with research teams at leading AI labs.
What you'll be doing<ul><li>
Own end-to-end technical initiatives: scoping requirements, building solutions, managing experts through delivery, and shipping code yourself when it unblocks the team.</li><li>
Design and build technical infrastructure and tooling for dataset generation, quality control, and delivery pipelines across multiple concurrent lab contracts.</li><li>
Manage and mentor teams of software engineers, data scientists, and ML specialists; set technical direction and hold the bar for execution velocity.</li><li>
Interface directly with research teams at leading AI labs to translate their needs into technical specs and ensure delivery meets their standards.</li><li>
Debug production issues live under pressure; rapidly context-switch between hands-on engineering, team leadership, and strategic problem-solving.</li><li>
Support the founding team on the highest-impact work &mdash; internal tooling, major contracts, and hiring.</li></ul>
Tech stack: Python; data pipelines, APIs, ML/AI tooling<h3 class="jobSectionHeader">
Requirements</h3><ul><li>
CS degree, engineering experience, or equivalent demonstrated ability to ship technical projects</li><li>
Manage teams of technical experts across software engineering, data science, and machine learning</li><li>
Build technical infrastructure and tooling for dataset generation, quality control, and delivery pipelines</li><li>
Drive technical and operational initiatives end-to-end: scoping requirements, building solutions, and managing technical experts</li><li>
Interface directly with engineering and research teams at leading AI labs</li><li>
Support founding team on high-priority technical projects and operational initiatives</li><li>
Proficiency in Python and production-quality code</li><li>
Experience with data pipelines, APIs, or ML/AI tooling</li><li>
Strong leadership experience and communication skills</li><li>
Ability to context-switch rapidly between technical and strategic work</li><li>
Intense work ethic, agency, and drive</li><li>
Competitive nature and track record of exceptional achievement</li><li>
Undergraduate degree from the U.S., Canada, or the U.K.</li></ul><h3 class="jobSectionHeader">
Green Flags</h3><ul><li>
Background in software engineering, ML engineering, AI research, or computer science</li><li>
Experience at top tech company (FAANG, frontier AI lab) or quantitative trading firm</li><li>
Prior startup experience or founding experience</li><li>
Willingness to work long hours and weekends when projects demand it</li></ul><h3 class="jobSectionHeader">
Red Flags</h3><ul><li>
Worked cushy tech jobs (FAANG PM, etc.) and may not be used to intense work environments.</li><li>
Struggles with ambiguity or lacks examples of owning large, complex projects.</li><li>
Only interested in remote work &mdash; role is strictly in-person.</li><li>
Can't articulate why they want to pivot into AI ops or join a startup now.</li><li>
No experience managing teams or unclear on motivating people toward execution.</li></ul><h3 class="jobSectionHeader">
Why Join</h3><ul><li>
Direct access to the founding team on their highest-priority problems</li><li>
Exposure to leading frontier AI labs; work that powers major contracts</li><li>
Up to $300K total cash comp plus meaningful equity in a fast-scaling company</li></ul><h3 class="jobSectionHeader">
Details</h3><ul><li>
Location: San Francisco, CA</li><li>
Work policy: On-site &mdash; strictly in-person</li><li>
Compensation: $130,000&ndash;$150,000 base (up to $300K total cash comp) + equity</li><li>
Visa sponsorship: None available</li><li>
Employment type: Full-time</li></ul></div>

Strategic Projects Lead - Coding

SnapMagic

<div>About SnapMagic
SnapMagic is the leading platform for electrical engineers, helping more than 1.5 million engineers design products like drones, electric vehicles, robotics systems, and VR headsets faster.
Over the past decade, we've built one of the world's largest electronics component databases and become a trusted platform across the electronics industry. Today, we're leveraging AI to transform how engineers discover, evaluate, and design with electronic components.
With strong revenue growth, proven product-market fit, and recent backing from leading Silicon Valley investors, we're entering our next phase of growth.
The Opportunity
Customer Success is one of the most important functions at SnapMagic.
We don't think of Customer Success as a support function&mdash;we think of it as the team responsible for protecting and growing one of our most valuable assets: long-term customer relationships.
Many of our customers have partnered with us for years. They've built critical workflows around SnapMagic, trust our team, and rely on us as a strategic partner. As we continue to grow, preserving and strengthening those relationships becomes even more important.
That's why we're hiring our first Head of Customer Success.
You'll own the entire customer experience, retention strategy, expansion revenue, and the systems that power Customer Success. You'll also partner closely with the founders to shape customer strategy, influence product direction, and help guide the company's next stage of growth.
But because we're an early-stage company, leadership doesn't mean managing a large team. You'll be both the strategist and the operator&mdash;working directly with customers every day while building the function that will support the next stage of the company.
If you're looking to inherit a team, this isn't the role. If you're excited to build one of the company's most important functions from the ground up, we'd love to meet you.
What You&rsquo;ll Own:<ul><li>
Customer Success Strategy: Own the long-term success of our customers and the overall health of the customer base. Ensure customers realize measurable business value from SnapMagic, renew year after year, and become long-term advocates for our platform.</li><li>
Renewals and Growth: Own renewals, retention, and account expansion. Build ROI-driven business cases, identify upsell opportunities, and partner with customers to grow their investment in SnapMagic over time.</li><li>
Building the Customer Success Function: Design the playbooks, systems, metrics, and customer operating rhythm that will become the foundation of Customer Success as SnapMagic scales.</li><li>
Strategic Account Management: Build trusted relationships with key customer stakeholders. Lead business reviews, understand evolving customer goals, proactively identify risks, and guide customers toward successful outcomes.</li><li>
Customer Operations &amp; Process Support: Build and improve the systems, processes, and playbooks that power Customer Success. Develop scalable approaches to onboarding, customer health monitoring, renewals, reporting, and account planning as the company grows.</li><li>
Technical Support: Become an expert in SnapMagic's products and customer workflows. Help customers navigate technical challenges, diagnose issues, and drive resolution in partnership with Product and Engineering.</li></ul>
This is a hands-on leadership role. Today, you'll personally own onboarding, customer success, renewals, expansion, and customer advocacy. Over time, you'll build the function and team&mdash;but first, you'll lead by doing.
What We&rsquo;re Looking For:<ul><li>
5+ years of experience in Customer Success, Account Management, Revenue Operations, or a related customer-facing role in an early stage start up environment</li><li>
Experience building Customer Success at an early stage B2B SaaS company where you created the processes</li><li>
Experience owning renewals and customer retention metrics</li><li>
Strong commercial judgment and the ability to identify and execute expansion opportunities</li><li>
Experience managing complex customer relationships and executive stakeholders</li><li>
A customer-centric mindset and passion for delighting customers and driving their success. Proactive, empathetic, and dedicated to delivering exceptional customer experiences.</li><li>
Operational mindset with a track record of improving processes and building scalable systems</li><li>
Comfortable working in ambiguity and solving problems independently</li><li>
Strong ability to analyze data and metrics to identify trends, track customer health, and drive insights for continuous improvement.</li><li>
High ownership and a bias toward action</li><li>
This is a hybrid position that will require in-person work days 3 days a week in our San Francisco office.</li></ul>
You Might Be a Good Fit If You<ul><li>
Enjoy building as much as operating</li><li>
Prefer creating systems from scratch rather than working around broken ones</li><li>
Can move seamlessly between customer conversations and spreadsheet analysis</li><li>
Know when to advise, when to sell, and when to jump in and solve the problem yourself.</li><li>
Thrive in small, high-accountability teams</li></ul>
Perks and Benefits:
At SnapMagic, we believe in fostering an environment where your career thrives, and your well-being is prioritized. Join us and enjoy the following perks and benefits!<ul><li>
A role at the helm of growth, with vast opportunities for impact and innovation.</li><li>
Competitive compensation packages</li><li>
Comprehensive Medical, Dental and Vision coverage + dependent coverage</li><li>
401k plan</li><li>
Innovative Work Environment- we value innovation and encourage creative thinking</li><li>
Work life balance- flexible paid time off</li></ul>
The expected salary range for this role is $140K-$180K, with the opportunity for significant variable incentive, along with equity. Job level and salary opportunities are evaluated through our interview process.
Compensation Range: $140K - $180K</div>

Head of Customer Success

Handshake

<div><div><h2 class="jobSectionHeader">Location</h2>
San Francisco, CA
</div><div><h2 class="jobSectionHeader">Employment Type</h2>
Full time
</div><div><h2 class="jobSectionHeader">Location Type</h2>
On-site
</div><div><h2 class="jobSectionHeader">Department</h2>
Marketing
</div><div><h2 class="jobSectionHeader">Compensation</h2>
<ul><li>$196K &ndash; $245K &bull; Offers Equity</li>
</ul><div>For cash compensation, we set standard ranges for all U.S.-based roles based on function, level, and geographic location, benchmarked against similar stage growth companies. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.</div></div></div>
 <div><div><h1 class="jobSectionHeader">About Handshake</h1>
Handshake was founded on a simple belief that everyone deserves a path to a great career, regardless of where they went to school or who they know. Today, we power 25 million job seekers, 1 million+ employers, and 1,600 educational institutions.
In 2025, we started Handshake AI and built the fastest-growing AI data business in history. We work directly with frontier AI lab researchers to create evaluations, publish benchmarks, and push the boundary of data. We&rsquo;ve grown from $0 to ~$1B run rate and pay ~$60M to over 30K individuals every month.
Why join Handshake now:
<ul><li>Shape how every career evolves in the AI economy, at global scale, with impact your friends, family and peers can see and feel
</li><li>Partner hand-in-hand with world-class AI labs, Fortune 500 partners and the world&rsquo;s top educational institutions
</li><li>Work together with engineers, scientists, operators, and more from Palantir, Meta, Scale AI, and former YC founders
</li><li>Build a massive, fast-growing business with billions in revenue
</li></ul>About Handshake AI
Human data is the core infrastructure to AI advancement. Frontier AI labs currently improve model capabilities with various data-intensive post-training techniques. We believe that data spend for AI training will increase by 3-5x in the next few years and continue for much longer as models take on new domains. Handshake AI supports all of the frontier AI labs, working on their most complex data at the largest scale. 
<div></div><h1 class="jobSectionHeader">The Role</h1>
Handshake built the eval and human-data infrastructure that frontier AI labs rely on to make their models better. We're now pointing that same infrastructure at the enterprise &mdash; helping Fortune 500 companies in banking, insurance, retail, and legal build the eval and improvement loops their AI agents need to work safely in production. This is the founding marketing role for that business &mdash; and at its core, a product marketing role: positioning, technical narrative, and sales partnership come first, with reporting into a team built by former Palantir go-to-market leadership and direct visibility to company leadership. If this line of business becomes what we expect it to, this founding role grows into a team you build and lead.
<ul><li>Own positioning and messaging end-to-end &mdash; define the ICP, build the competitive narrative, and stand up the messaging architecture everything else runs on
</li><li>Translate technical proof points (evals, RL environments, model behavior) into content that credibly reaches technical buyers: POVs, case studies, executive bylines, sales narrative
</li><li>Build sales enablement from scratch &mdash; pitch decks, battlecards, objection handling &mdash; for a sales team currently working without a CRM or existing collateral
</li><li>Partner on the front line with sales and a deployment strategist/solutions architect &mdash; joining demos and discovery calls to close knowledge gaps in real time as the team ramps
</li><li>Shape account-based, vertical-specific motions (banking, insurance, retail, legal) in partnership with field and growth marketing, who will already be staffed and running events by fall
</li><li>Stand up a minimum-viable digital presence (microsite/landing pages) with support from web dev
</li><li>Use AI tooling aggressively to operate above your weight class &mdash; this function doesn't have the headcount yet for a traditional team structure
</li></ul><h2 class="jobSectionHeader">You Have</h2>
<ul><li>7+ years in B2B marketing with a strong product marketing foundation &mdash; this is a PMM-first role, not a generalist growth or demand gen seat
</li><li>Experience partnering with enterprise sales in a high-ACV, complex technical sales motion &mdash; comfortable joining live demos and discovery calls, not just producing materials from a distance
</li><li>Gone zero-to-one before: launched a product, built a function, or served as a founding/solo marketer at an early-stage company
</li><li>Sold complex technical solutions into traditional, non-tech Fortune 500 enterprises (banking, insurance, retail) rather than exclusively tech buyers
</li><li>Strong writer and storyteller who gets fluent in genuinely technical material fast
</li><li>Operates independently with real agency in ambiguous, fast-moving environments &mdash; this team is early and self-directed, without a lot of hand-holding infrastructure yet
</li></ul>Bonus points:
<ul><li>Came up at a large, structured company (Salesforce, Google, etc.) before making the jump to a founding marketing role at an AI or technical B2B startup
</li><li>Fluent in AI tooling as a way of multiplying personal output across content, research, and competitive intel, rather than just a topic you market
</li></ul><h2 class="jobSectionHeader">We Offer</h2>
Handshake delivers benefits that help you feel supported &mdash; and thrive at work and in life.
The below benefits are for full-time US employees.
Ownership: Equity in a fast-growing company
Financial Wellness: 401(k) match, competitive compensation, financial coaching
Family Support: Paid parental leave, fertility benefits, parental coaching
Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
Growth: $2,000 learning stipend, ongoing development
Remote &amp; Office: Internet, commuting, and free lunch/gym in our SF office
Time Off: Flexible PTO, 15 holidays + 2 flex days
Connection: Team outings &amp; referral bonuses
Explore our mission, values, and comprehensive US benefits at joinhandshake.com/careers.
Compensation Range: $196K - $245K</div></div>

Director of Marketing, Enterprise AI

Explore 5+ Robotics lab technician in San Francisco this July. Find roles across top companies and apply now to boost your career.

5 robotics lab technician jobs In San Francisco

Lead Systems/DSP Engineer

Software Engineer, RL Environments

Strategic Projects Lead - Coding

Head of Customer Success

Director of Marketing, Enterprise AI