Top Tech Jobs & Startup Jobs in Los Angeles, CA

Leads 6–8 Account Executives managing strategic healthcare provider accounts. Drives renewals, retention, expansion, multi-year agreements, SaaS and analytics adoption, pipeline forecasting, territory planning, and executive relationships with health systems and academic medical centers. Coaches sales talent, develops account strategies, partners cross-functionally, and maximizes ARR and net revenue retention.

Own Eve’s go-to-market data models and semantic layer for governed metrics including pipeline, conversion, CAC, win rate, ARR, and bookings. Establish certification frameworks, modeling standards, documentation, alerting, and analytical application patterns across the organization. Partner with Sales, Marketing, Customer Success, and RevOps stakeholders, resolve conflicting metric definitions, enable AI-grounded data tools, review contributions, and mentor analytics engineers.

Own paid media, email, landing page, SEO, analytics, and demand-generation campaigns for enterprise cybersecurity audiences. Build and optimize multichannel programs, conversion experiments, reporting, attribution, and AI-enabled marketing workflows. Collaborate with content, product marketing, design, operations, web, and SDR teams to improve qualified leads, pipeline contribution, efficiency, and campaign execution.

Manage and expand Donorbox’s referral partnership ecosystem of nonprofit consultants, agencies, and complementary SaaS providers. Responsibilities include prospecting and recruiting partners, onboarding and enabling them with training and sales materials, executing co-marketing initiatives and events, tracking referred leads and commissions, and maintaining partner relationships. The role supports revenue growth and nonprofit platform adoption through channel partnerships.

Leads full-cycle recruiting for technical and non-technical roles, partnering with hiring managers on workforce planning, sourcing, candidate assessment, interviews, offers, negotiations, and onboarding coordination. Provides labor-market intelligence, maintains talent pipelines, tracks recruiting metrics, and supports strategic projects involving process improvement, candidate experience, diversity recruiting, employer branding, and recruiting technology. Manages multiple requisitions while ensuring timely communication, compliance, and a strong candidate experience.

Leads Jellyfish’s corporate marketing strategy, brand, communications, editorial, analyst relations, social media, executive voice, and thought leadership. Owns market positioning, content and research releases, brand identity, discovery efforts, team development, and performance measurement. Partners with executive, research, and product marketing leaders to establish Jellyfish as an authority among engineering leaders and drive demand through compelling narratives about AI’s impact on software development.

Owns net-new revenue as a quota-carrying individual contributor. The Sales Director develops pipeline through prospecting, referrals, partnerships, events, and inbound leads; leads consultative sales cycles; manages complex proposals, RFPs, negotiations, and contracts; builds senior buyer relationships; sells integrated data, research, media, technology, and measurement solutions; maintains CRM forecasts; and coordinates internal teams through successful client handoffs.

Supports and maintains enterprise customer web integrations using Smartling’s web proxy solution. Owns technical tickets, troubleshoots browser and network issues, leads customer workshops, creates diagnostic scripts and tooling, manages production configuration changes, and collaborates with Engineering on product fixes. The role requires strong web technologies, debugging, communication, and customer-facing technical consulting skills.

Own a US enterprise sales territory focused on landing net-new logos among companies with 1,000–10,000 employees. Build outbound pipeline, run full-cycle deals, lead MEDDPICC-based discovery, collaborate with Solutions Architects on technical evaluations, and engage data and AI executives. The role also contributes customer insights to Product and Marketing, develops segment strategy and sales collateral, and helps build the growing enterprise sales team.

Designs and deploys AI-powered features and scalable AI/ML services across SaaS products. Responsibilities include translating business problems into AI solutions, integrating large language models, preparing data, evaluating model performance, writing Python, building secure deployment infrastructure, and collaborating with product, data, and cloud operations teams. The role requires production AI/ML experience, scalable data infrastructure expertise, AWS familiarity, and modern DevOps practices.