Top Tech Jobs & Startup Jobs

Build, execute, and QA B2B marketing campaigns in Marketo across webinars, events, content, and newsletters. Manage campaign intake workflows in Asana, maintain templates and dependencies, verify tracking, UTM parameters, Salesforce synchronization, links, forms, naming conventions, and documentation. Troubleshoot campaign issues and use AI tools to improve QA, list building, content formatting, and campaign production efficiency.

Own and scale marketing-to-sales operations infrastructure across Salesforce, Marketo, Clay, Qualified, and related systems. Manage lead lifecycle architecture, routing, scoring, enrichment, deduplication, data quality, conversational marketing workflows, and funnel optimization. Partner with Marketing, Sales, SDRs, Business Systems, and vendors to improve pipeline quality, speed to lead, and sales efficiency. Implement AI-enabled automation, oversee tool budgets, and support system migrations and process governance.

Own marketing analytics, funnel and campaign reporting, lead scoring, routing, data reconciliation, and Marketing-to-Sales handoff workflows. Build dashboards, validate Salesforce and Marketo data, manage RingLead logic, troubleshoot routing issues, and perform recurring QA across go-to-market systems. Partner with BI and Data teams, identify optimization opportunities, present findings to leadership, and use AI tools to accelerate reporting and data-quality workflows.

Oversee daily Bengaluru office operations, infrastructure, supplies, visitors, administrative requests, budgets, vendors, and compliance. Plan employee engagement activities, regional events, corporate meetups, onboarding logistics, employee milestones, and ERG events. Optimize office processes, document policies in Confluence, manage the office Slack channel, support cross-functional projects, and identify AI or automation opportunities. This is an onsite role requiring five days in the office and shift coverage.

Own the Data Solutions business end to end, including revenue, strategic client relationships, team leadership, and product direction. Source and close complex data deals with institutional investors, build predictable pipelines, guide pricing and forecasting, drive account adoption and expansion, coach sales and client support teams, and translate investor feedback into product roadmaps.

Build and launch AI- and agent-powered products across the full stack. Architect scalable systems, direct AI agents, validate functionality through QA and model evaluations, and ensure observability and maintainability. Partner with product managers, designers, stakeholders, and engineers to define and prioritize features, prototype solutions, and ship MVPs. Promote agentic engineering practices, share knowledge, and influence team adoption of AI-assisted development workflows.

Design, build, optimize, and maintain scalable ETL/ELT data pipelines and data platform components in an AWS/Snowflake ecosystem. Ensure data quality, governance, and near-real-time availability. Collaborate with and mentor junior engineers, contribute to architecture and data modeling, and implement performance tuning and best practices.

Design and deploy predictive models and simulations for auction/bidding dynamics, forecasting, segmentation, and recommendation systems. Build data-processing workflows, apply supervised and unsupervised ML, use advanced statistics to tune models, and collaborate with product, engineering, and client teams to deliver data-driven vendor experiences.

Partner with product teams to build data products, dashboards, and self-service AI/agent tooling. Own product metrics, run exploratory and ad-hoc analyses, improve data quality and governance, and translate analysis into clear recommendations to drive product OKRs.

The Senior Lifecycle Marketing Manager develops and executes marketing strategies for software buyers and vendors, focusing on engagement and retention through email marketing, data analysis, and cross-functional collaboration.