Top Tech Jobs & Startup Jobs

Leads enterprise growth by winning large, multi-year agency engagements and expanding strategic accounts. Develops account-based growth plans, directs RFI/RFP responses, manages executive presentations and commercial negotiations, and forecasts deal risk using MEDDIC. Partners with strategy, media, creative, data, technology, delivery, marketing, and PR teams to create tailored enterprise solutions, support scalable onboarding, and build long-term client relationships.

Leads integrated B2B media and go-to-market strategies for enterprise and growth-stage clients. Connects paid, owned, and earned media to pipeline, revenue, and ROI; develops audience segmentation, messaging, measurement, and testing frameworks. Advises on martech, adtech, CRM, marketing automation, and sales-marketing alignment, including workflows, attribution, integrations, and reporting. Leads client performance reviews, cross-functional execution, strategic innovation, and team mentoring.

Build and lead full-stack development for the Polaris platform using React, TypeScript, Django, Python, and PostgreSQL. Own features from architecture through deployment and production support, design secure APIs and integrations, improve performance and observability, maintain automated testing, mentor engineers, review code, and influence technical direction across squads.

Leads Wpromote’s media investment function, managing agency spend, upfronts, joint business plans, incentive programs, and commercial agreements. Develops negotiation strategies, oversees activation and reconciliation, builds reporting and operational infrastructure, and connects investment activity to client value, revenue, profitability, and partner performance. Partners cross-functionally with Media, Finance, Legal, Sales, Partnerships, and Revenue Operations. Drives automation and AI integration, supports pitches, mentors colleagues, and may eventually manage a growing team.

Designs and improves AI-powered content production workflows from research through delivery. Creates and edits content across formats, develops prompts, templates, agents, evaluation criteria, and editorial guardrails, and evaluates AI-generated content for accuracy, originality, bias, and brand alignment. Conducts research, interviews experts, applies SEO and analytics insights, tests emerging AI tools, documents best practices, manages multiple client projects, and collaborates with content and digital PR teams.

Owns paid media planning for B2B clients across search, social, programmatic, and full-funnel channels. Responsibilities include budget allocation, pacing, optimization, forecasting, audience and account targeting, performance measurement, vendor management, client presentations, testing, and collaboration with activation, creative, analytics, sales, and RevOps teams. The role also supports new business efforts and uses market, competitive, and intent-data research to develop data-backed media recommendations.

Manage SEO and AI search strategies for multiple client websites, covering technical SEO, content, website architecture, structured data, and AI-driven discoverability. Build client relationships, support retention and growth, create performance reports and dashboards, present recommendations, contribute to proposals, and collaborate with development, content, and product teams. The role requires agency SEO experience, client-facing communication, familiarity with GA4 and Google Search Console, and knowledge of emerging AI search tools.

Manages ad trafficking, campaign setup, tagging, tracking, and QA across programmatic, direct I/O, paid social, and paid search. Implements Campaign Manager 360 creatives, Floodlight, pixels, data-layer triggers, UTM standards, and CRM integrations. Troubleshoots ad-serving and measurement issues, coordinates launch readiness and asset delivery, maintains documentation, and improves QA processes while supporting media, analytics, client service, and B2B client teams.

Leads the design, automation, optimization, and maintenance of scalable data pipelines using Airflow, dbt, Python, SQL, and Google Cloud technologies. Manages dbt models, develops reusable architecture patterns, monitors pipeline performance, supports CI/CD and testing, and ensures data security and governance. The role also provides technical leadership, mentors engineers, collaborates cross-functionally, documents implementations, and drives continuous improvement across data engineering practices.

Lead the design, development, deployment, and ongoing operation of AI solutions that automate workflows and improve decision-making for internal teams and clients. Architect secure integrations with Polaris IQ, third-party tools, and client systems while partnering with strategy, product, engineering, data, and client stakeholders. Translate technical concepts into business value, manage solution lifecycles, and eventually lead a small team of AI strategists and engineers.