Top Tech Jobs & Startup Jobs

Owns and evolves a six-week support onboarding program in Manila, including in-person facilitation, documentation, certification, learning paths, and ongoing training. Uses support metrics such as CSAT, QA scores, ticket volume, and knowledge assessments to identify needs, measure outcomes, and improve enablement programs. Partners cross-functionally with Support Operations, QA, Product, L&D, and enablement teams while using learning tools and content platforms to scale education.

Manage and coach a team of 8+ hybrid SMB and mid-market Account Executives and Account Managers. Drive new-business bookings, account expansion, renewals, retention, pipeline accuracy, forecasting, consultative selling, and performance against revenue targets. Develop sales strategies, coaching programs, objection-handling practices, and renewal playbooks while collaborating cross-functionally with Product, Engineering, Customer Success, Marketing, Onboarding, and Legal.

Design and implement scalable backend services, data pipelines, distributed integrations, and high-throughput infrastructure. Own projects across requirements, architecture, development, testing, deployment, observability, and maintenance. Collaborate cross-functionally, lead technical discussions, improve performance and automation, mentor teammates, and use AI tools throughout software development. Build highly available systems using modern databases, cloud infrastructure, messaging, monitoring, and containerization technologies.

Own a hybrid mid-market sales and account management territory in Bangalore. Generate outbound pipeline, conduct discovery and demos, negotiate and close new business, then drive activation, expansion, renewals, and retention for existing accounts. Build account plans, analyze product usage, forecast accurately, manage quotas, and partner with Sales Development, Customer Success, Support, Product, Legal, and Marketing. The role requires consultative selling, multithreading with senior buyers, self-sourced prospecting, and effective use of AI tools.

Own the full commercial relationship for SMB accounts in Bangalore, managing inbound new-business sales alongside expansion and renewal of an existing book. Responsibilities include discovery, demos, trials, negotiation, closing, onboarding handoffs, forecasting, pipeline creation, quota attainment, renewals, objection handling, and stakeholder engagement. The role requires a high-volume consultative sales approach, strong account prioritization, AI-enabled productivity, and consistent achievement of revenue and retention targets.

Leads Apollo’s core data engineering organization, including Native Data, waterfall enrichment, and scraping platforms. Owns strategy, architecture, team growth, data acquisition, enrichment, synchronization, quality, freshness, monitoring, and large-scale ETL systems. Partners with executives and cross-functional teams to improve data coverage and reliability, establish feedback loops, select vendors, and apply AI to data acquisition and maintenance.

Lead Apollo’s SMB sales organization, managing 4–5 sales managers responsible for new business and account management. Own revenue performance, quota attainment, forecasting, pipeline health, sales strategy, territory design, and performance culture. Develop front-line leaders, improve sales processes, and represent the SMB segment in cross-functional and executive planning with Product, Engineering, Marketing, Customer Success, Operations, Onboarding, and Legal.

Leads and develops a Solutions Consulting team supporting enterprise and mid-market SaaS sales. Builds scalable presales operating systems, including playbooks, capacity models, coverage plans, enablement, and performance reporting. Personally supports strategic deals while partnering across Sales, Product, Engineering, Marketing, Operations, and Post-Sales. Drives executive engagement, complex solution design, deal execution, customer adoption, and improvements to win rates and time-to-value.

Build and lead Apollo’s Partner Operations function within Revenue Operations. Own partner operating models, systems architecture, data quality, attribution, reporting, lifecycle instrumentation, deal registration, commercial operations, and revenue-share coordination. Translate partnership strategy into scalable processes and cross-functional requirements across Systems, Data, Finance, Legal, and Partnerships. Use analytics, automation, and AI to improve partner performance, operational efficiency, and revenue visibility.

Sets organization-wide technical direction for critical, ambiguous engineering problems; owns long-term architecture and platform bets; defines AI and agent engineering strategy; establishes standards; mentors senior engineers; and partners with engineering and product leadership. The role requires deep distributed-systems expertise, strong judgment under ambiguity, organizational influence, and current fluency with AI-assisted development.