Top Tech Jobs & Startup Jobs

Analyzes platform usage, client growth, query performance, infrastructure capacity, and cloud/AI costs. Builds scaling scenarios, monitors AWS and GCP utilization, identifies anomalies and waste, owns product analytics reporting, and partners with Engineering and Product on database scaling decisions. The role also documents optimization results, capacity thresholds, vendor utilization, and model assumptions while translating technical findings for business stakeholders.

Supports in-house legal operations including contract intake, intellectual property, insurance, compliance reviews, legal research, invoices, litigation activities, audits, due diligence, and special projects. Uses AI platforms, prompt engineering, workflow automation, and knowledge management to improve legal workflows while verifying AI-generated outputs for accuracy and compliance.

Build and maintain client relationships, lead assigned accounts, coordinate solution delivery, and ensure client satisfaction. Partner with Sales and internal departments from sale through launch, manage project health and quality checks, prepare client communications and status materials, and support revenue goals. The role requires experience in digital, agency, and healthcare environments, with pharmaceutical or HCP advertising and medical/legal/regulatory review experience strongly preferred. Travel to client locations may be required.

Lead complex data engineering programs involving platform migrations, ETL/ELT pipelines, BI reporting migrations, infrastructure upgrades, and data architecture modernization. Coordinate dependencies across engineering, product, analytics, infrastructure, and operations teams. Define milestones, validation criteria, SLAs, risk mitigation, migration sequencing, governance, and stakeholder communications while ensuring continuity for downstream systems and consumers.

Own the strategy, discovery, prototyping, productization, and scaling of AI-powered commercial offerings. Develop supporter-facing workflows, content customization, reporting, analytics, and campaign performance capabilities. Partner with sales, marketing, clients, platform product, AI/ML, engineering, and data science teams to create scalable and monetizable products. Track adoption, revenue contribution, efficiency gains, and AI feature impact while ensuring responsible, reusable platform capabilities.

Provides FP&A and analytical support for multiple business units. Partners with business leaders, builds financial models, supports forecasting and budgeting cycles, contributes to strategic projects, and uses AI tools for analytical work while validating outputs. The role requires translating complex data into actionable recommendations, identifying business drivers, and improving reporting processes. It offers early ownership and exposure to senior leadership.

Leads and mentors a team of AI Research and Operations Analysts while scoping organization-wide AI requests, guiding GenAI experimentation, troubleshooting technical and operational issues, and partnering with product, engineering, and business stakeholders. Ensures prototypes, evaluations, automations, and documentation meet quality and business objectives while helping scale AI adoption across the organization.

Supports marketing and product marketing teams by developing and deploying AI-enabled strategies for paid campaigns, content generation, audience analysis, and campaign optimization. Builds prompts, datasets, prototypes, and documentation; researches AI trends and competitor messaging; evaluates AI workflows; and helps implement solutions across marketing teams. The role requires strong communication, organization, analytical ability, curiosity, and hands-on experimentation with generative AI.

Acquire new legal-industry accounts through outbound cold calling, networking, and marketing opportunities. Present and educate attorneys and law firms on advertising, website, and other solutions; manage negotiations, communicate return on investment, close transactions, and consistently meet or exceed new-business and revenue targets.

Leads a team of programmatic traders managing large-scale CPM and spend-based campaigns. Oversees trafficking, QA, pacing, optimization, budget reconciliation, client escalations, training, SOP development, and cross-functional support. Owns the team’s AI and automation roadmap, redesigning workflows to improve efficiency and strategic output. Serves as a programmatic subject matter expert while supporting sales proposals, reporting, client strategy, and campaign innovation.