Jobs at Vendasta

Engages inbound SMB leads through high-volume calls, qualifies prospects, uncovers needs, and books qualified onboarding or sales consultations within 24–48 hours. The role uses AI-enabled sales tools, guided talk tracks, and CRM workflows to manage objections, maintain accurate records, improve meeting quality, and support pipeline growth. The representative collaborates with account executives and onboarding teams while contributing feedback to improve sales processes and AI prompts.

Owns end-to-end client activation for AI-powered SaaS solutions, including discovery, solution design, workflow setup, demonstrations, training, performance monitoring, and optimization. The role serves as the primary client contact, translating business needs into practical AI workflows and partnering with technical specialists on complex customizations. It requires strong communication, consultative client management, AI tool familiarity, and experience in client success, implementation, or technical consulting.

Provide technical customer support for Vendasta Website Pro, troubleshooting WordPress, DNS, SSL, hosting, caching, and basic PHP, JavaScript, HTML, and CSS issues. Manage support tickets according to SLAs, document solutions, use AI-assisted diagnostics and workflows, support ecommerce setup, communicate technical concepts clearly, and escalate complex issues. Contribute to knowledge bases, process improvements, automation, and cross-functional insights.

The Senior Forward Deployed Engineer embeds with enterprise customers’ engineering teams to implement the Vendasta platform, identify technical gaps, solve problems across customer technology stacks, and translate findings into product roadmap and sprint-planning input. The role requires strong full-stack and system-design skills, customer communication, independent judgment, and regular travel to customer sites.

Consult with clients to identify AI opportunities, design and configure AI workflows within Vendasta, validate technical setups, troubleshoot issues, demonstrate solutions, train users, and optimize AI performance. The role also audits AI outputs, monitors metrics, automates repetitive tasks, and translates complex AI concepts into business value for small and midsize businesses.

The AI SEO Analyst develops and executes technical, on-page, off-page, and local SEO strategies across content types. Responsibilities include keyword research, metadata and schema optimization, AI prompt refinement, review of AI-generated content, ranking and traffic analysis, performance reporting, and workflow improvement. The role collaborates with editors, strategists, and developers, supports junior team members, maintains prompt libraries, and works a 7:30 PM to 4:30 AM IST night shift in Chennai.

Manage and QA paid search and social campaigns across Google, Microsoft, Facebook, and Instagram. Implement and verify conversion tracking, monitor performance through AI-enabled tools, identify optimization opportunities, conduct keyword and competitive research, refine ad copy, validate creative assets, troubleshoot campaign issues, and support fulfillment teams. The role also contributes to prompt libraries and AI-driven marketing workflows.

Provide omnichannel customer and technical support across phone, email, chat, and video. Use AI tools to improve resolution speed and accuracy, maintain support documentation, gather customer feedback, conduct product walkthroughs, troubleshoot software issues, and escalate bugs. Track metrics including CSAT, response time, AI tool compliance, and tagging accuracy while collaborating with product and support teams.

Improve client discoverability through on-page, off-page, local, and technical SEO. Conduct keyword research, content mapping, backlink analysis, competitor research, and performance reporting using SEO and AI tools. Optimize content for organic search, AI-powered discovery, voice search, and local results. Support link-building, audits, A/B testing, dashboards, prompt refinement, and cross-functional SEO initiatives while following established processes.

Manage and optimize digital advertising campaigns for high-value partners and SMB clients across Google Ads, Meta, TikTok, and MatchCraft. Troubleshoot campaign issues, analyze performance data, improve KPIs through testing and attribution analysis, and deliver QBRs, reports, and strategic recommendations. Serve as the primary technical contact, educate partners, document account activity, collaborate with internal teams, and pilot AI-enabled tools and processes to improve scalability and partner outcomes.

Partner with sales and product teams to design and deliver tailored, AI-enhanced demos and proposals, support discovery and technical Q&As, develop prompt libraries and enablement assets, and apply CRM and AI tools to accelerate deal conversion, adoption, and retention.

As an Account Manager I, you will manage agency partner relationships, execute Go To Market strategies, and drive revenue growth through strategic actions and continuous education for partners.

Serve as the operational link between Pre-Sales and Execution to turn signed contracts into deployed AI solutions. Translate pre-sales scopes into Statements of Work, plans, resource allocations, and timelines. Enforce scope boundaries, manage change requests, route incoming work, and run client communications, milestone tracking, blocker resolution, and weekly status reporting across multi-stakeholder B2B SaaS implementations.

Serve as the single technical lead for a large multi-brand franchise partner, deploying and maintaining automation scripts, monitoring CRM/data pipelines, tuning LLMs and prompt systems, triaging integrations, and ensuring accurate reporting and enterprise-wide prompt governance.

Acquire and onboard SMB channel partners to drive net-new revenue. Prospect and engage leads using ABM and AI-enhanced outreach, deliver tailored demos, manage pipeline with CRM and sales methodologies, and coordinate onboarding with Customer Success to improve early retention.

Manage partner onboarding, drive product adoption, monitor usage and health via dashboards, run enablement and training, escalate risks, provide voice-of-customer feedback, and improve lifecycle playbooks to maximize retention and value.