Top Los Angeles, CA Martech Companies With Best Career Growth & Development (379)

Cross-Functional Experience: Real products span consumer brands (e.g., MapQuest, Startpage, CouponFollow) and the RAMP adtech platform, creating a broad surface area across search, maps, coupons, and performance marketing. This can support growth for full‑stack, product, growth, and data-oriented roles through varied problem domains.

Training & Education Access: Structured learning support is described through education subsidies, LinkedIn Learning access, lunch‑and‑learns, hackathons, and AI-focused training used for external certificates and ongoing courses. These mechanisms provide accessible pathways to formal upskilling while on the job.

Exposure & Visibility: A mid-sized footprint with hubs in Marina del Rey and Seattle is framed as enabling visibility and the chance to work alongside senior leaders. External workplace recognitions are positioned as signals that employee support resources may be prioritized.

Cross-Functional Experience: Broad platform work spans Meta, Google, TikTok, Pinterest, and Snap, creating exposure to modern paid media, creative ops, and performance workflows. The product domain also connects creative automation, media buying, and analytics, which can broaden skills across adjacent disciplines.

Internal Mobility: A stated aim to fill a meaningful share of openings with internal talent signals support for internal moves. Examples of non-linear transitions between manager and individual-contributor tracks reinforce that role changes can be an expected path.

Skill Development Resources: Mentorship, customized development tracks, conferences/certifications, and “Academy/Certification” initiatives indicate structured enablement beyond day-to-day work. Early-career programs like Launchpad, internships, and new-grad tracks further anchor hands-on learning pathways.

Cross-Functional Experience: Cross-brand portfolios and multi-format collaboration create repeated opportunities to work across editorial, social, video, commerce, SEO, analytics, events, and branded content. Working across audiences and monetization models is framed as a way to compound transferable skills faster than a single-vertical role.

Professional Development: Professional development is described as being supported through mechanisms like continuing education stipends, job training and conferences, and structured internship/fellowship experiences. Mentorship programs and workshop-style learning are also presented as part of the development environment.

Skill Development Resources: Access to tooling and modern operating practices (e.g., analytics, CMS, experimentation, performance measurement, data-driven creative) is highlighted as a practical way to build resume-relevant capabilities. Exposure to high standards and integrity-focused editorial practices is positioned as strengthening craft and rigor.

Training & Education Access: Training is made accessible through “GumGum University,” with internal tracks and free public certifications that cover contextual and video advertising. Professional development support is also described via continuing education stipends, conferences, and paid industry certifications.

Growth Culture: Career materials frame roles as a “starting line” and highlight a GROW program centered on Growth, Recognition, Opportunity, and Winning. ERGs and inclusion-focused education are positioned as ongoing communities that can broaden learning and connection.

Challenging Assignments: Work is centered on contextual advertising, attention measurement, and creative/AI-driven products, which are described as fast-evolving areas to build scarce, market-relevant skills. Global operations and cross-region work options are positioned as pathways to stretch projects and accelerated learning.

Exposure & Visibility: Exposure to modern AI/MarTech work is positioned as a core part of the environment, including Athena by Zeta and an announced collaboration to integrate OpenAI models. Enterprise-scale clients and expanding product scope are framed as giving broad visibility into real-world, high-stakes use cases.

Skill Development Resources: Skill-building resources are described as available through an internal learning platform (Zeta University), certifications, and periodic hack-style learning initiatives. Structured options like courses on AI, data science, and cloud tooling are presented as pathways to build market-relevant capabilities.

Growth Culture: Growth-oriented values are explicitly emphasized through themes like “Always Learning” and “Raise the Bar,” alongside communities such as employee resource groups. A fast cadence of shipping and change is framed as creating frequent stretch moments for people who seek out opportunity.

Professional Development: Formal development offerings are described, including “Golden Learning,” management training, and an internal learning platform (“Hippo University”) covering role-relevant skills. Tuition assistance/reimbursement and conference/job-training support are also cited as enablers for continued upskilling.

Mentorship & Sponsorship: Mentorship and onboarding support are positioned as concrete mechanisms for growth, including a buddy program (“Hippo Buddy”) and mentorship pairings with senior leaders. Mentorship is repeatedly linked to skill improvement and readiness for larger roles.

Growth Culture: An ownership- and initiative-oriented culture is emphasized, including “ownership,” autonomy, learning from mistakes, and a fast test-and-iterate, metrics-first operating style. This setup is portrayed as accelerating growth-by-doing for self-directed, results-oriented employees.

Skill Development Resources: Exposure spans modern infrastructure and data tooling (e.g., AWS, Kubernetes, Kafka, Docker, Golang/Java) and real-time sports data/broadcast systems, creating transferable technical growth. Work also intersects with AI-driven analytics and live-event constraints, which can deepen systems thinking and operational rigor.

Professional Development: A comprehensive learning and development offering is described, including in-house training, online classes, and budget for external courses. Employee-led knowledge exchanges further broaden learning beyond day-to-day delivery work.

Mentorship & Sponsorship: Mentoring and coaching programs are highlighted, including workshops, networking, and 1:1 coaching, alongside a women-focused mentoring/coaching program in some materials. These structures can provide guided growth, especially when managers actively connect people to stretch projects.

Challenging Assignments: Scale and real-time ad-tech problems are described as creating “meaty problems” in distributed systems, ML ranking, experimentation, and optimization. Platform work is portrayed as strengthening skills in APIs, reliability, latency tuning, and cost/performance tradeoffs.

Coaching & Feedback: Biannual formal career feedback discussions and regular check-ins are described as part of a revamped performance process intended to strengthen manager–employee partnership. Manager training and guides for coaching and feedback are presented as supports for more effective development conversations.

Internal Mobility: Inward mobility and internal transfers are described as pathways to avoid over-specialization and expand scope via team moves or “tiger team” opportunities. Internal advancement is also framed as a stated practice, with references to employees being offered career-advancement opportunities within the company.

Professional Development: The company explicitly promises to “support you in deepening your skills or learning new ones,” and lists professional development as a benefit. Concrete items like continuing education stipends, customized development tracks, and job training/conferences signal structured support for growth.

Challenging Assignments: Work is framed as ML-heavy and centered on an AI/ML-driven mobile growth platform (including the “Cortex” ML platform), which can create steep learning curves. Operating across a large, merged adtech stack (UA, monetization, SDKs, analytics) suggests exposure to complex, real-world problems.

Growth Culture: A “Growth Mindset” value emphasizing experimentation and feedback indicates a culture oriented toward continuous improvement. A data-driven, metrics-focused way of working can create frequent learning loops tied to measurable outcomes.

Challenging Assignments: Engineers and data teams are positioned to work on high-throughput, low-latency exchange systems and production experimentation, including latency and cost/performance optimization. Product and commercial roles are exposed to privacy shifts, identity/addressability, and cross-channel measurement across web, app, and CTV.

Professional Development: Formal development mechanisms are described, including certification opportunities, a Leadership Academy, ongoing training sessions on topics like AI and cookie depreciation, and a dedicated Learning & Development team. Additional supports such as mentorship programs, conferences, and online course subscriptions are highlighted as available resources.

Advancement Opportunities: Multiple recent internal leadership promotions are cited across product, strategy, marketplace quality, privacy, engineering, and commercial functions, indicating visible advancement pathways at senior levels. Communications also describe a “promote from within” posture and cite growth momentum that can expand scope and roles.

Growth Culture: A growth mindset is repeatedly positioned as a core cultural expectation, with language emphasizing learning, impact, and raising the bar. Workplace award recognition is also framed as reflecting sustained investment in people practices that support growth.

Skill Development Resources: Access to learning tools and structured development mechanisms is described, including LinkedIn Learning, hackathons, and other internal learning rituals. These mechanisms suggest ongoing opportunities to build skills through both self-directed and company-sponsored avenues.

Advancement Opportunities: Internal advancement is illustrated through publicized promotion examples and leadership promotions, signaling that progression can occur within the organization. A recurring performance cadence tied to growth and recognition further supports the presence of advancement moments.

Cross-Functional Experience: Day-to-day work is described as blending analytics, experimentation, design/dev collaboration, and direct client impact rather than staying in narrow silos. Roles like Growth & Operations Analyst and junior AI/ML engineering are framed as covering multiple functions (ops, analytics, systems, and experimentation).

Mentorship & Sponsorship: Direct interaction with founders and senior CRO/engineering leaders is positioned as likely given the very small team size and hybrid Malibu hub. Several role descriptions emphasize learning from experienced leaders and working closely with lead engineers and the CEO.

Professional Development: Internal learning mechanisms are described, including “Experimentation Fridays,” team-led deep dives, and learning credits for courses/books/conferences with an expectation to share learnings back. The culture language repeatedly emphasizes ownership, curiosity, and continuous learning as core operating norms.

Training & Education Access: Training access is positioned as a formal benefit, including Learning & Development resources, job training, conferences, lunch‑and‑learns, and online course subscriptions.

Internal Mobility: Internal movement is explicitly promoted through repeated “promote from within” messaging and examples of employees being supported in finding new opportunities across teams.

Exposure & Visibility: Exposure to scaled, outcome-based digital acquisition work—via proprietary platforms and owned brands—creates frequent opportunities to build measurable, resume-relevant experience.

Internal Mobility: Public announcements show an internal promotion to Chief Product Officer, and company materials and listings indicate a promote-from-within mindset and benefit.

Cross-Functional Experience: Partnerships, integrations, and acquisitions across hardware, software, data science, and health domains create interdisciplinary projects that broaden learning and ownership.

Training & Education Access: Careers content references a personal learning & development program, leadership and manager training, structured onboarding, and dedicated L&D roles building formal learning programs.