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Software
Drive operational excellence through workflow design, process improvement, AI-powered automation, financial operations, reporting, dashboards, workforce planning, and cross-functional coordination. The role manages operational projects, budget and expense tracking, KPI reporting, executive administration, documentation, and training enablement while supporting global operations from the Chennai office on a night shift.
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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.
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Designs and implements AI-driven solutions for clients using Vendasta’s platform. Responsibilities include consulting on business objectives, configuring and validating AI workflows, troubleshooting, demonstrating solutions, training clients, and monitoring AI performance. The role also optimizes AI outputs, automates repetitive tasks, and translates complex AI concepts into business value for small and medium-sized businesses.
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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.
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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.
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Build, maintain, troubleshoot, and QA responsive websites using WordPress, Website Pro, and other CMS platforms. Handle complex layouts, widgets, plugin issues, and WooCommerce integrations. Use AI tools and prompt refinement to improve content, design, and production workflows. Lead complex Zendesk tickets, communicate with clients, mentor junior teammates, apply SEO and accessibility practices, configure analytics and tag managers, and recommend user-experience and conversion improvements.
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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.
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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.
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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.
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Lead full-cycle recruitment activities: source and pipeline candidates, ensure equitable hiring, conduct due diligence, represent employer at events, use AI tools to improve sourcing, track hiring KPIs, and support pre-boarding for a seamless new-hire experience.
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Design, deploy, and tune RAG systems and vector DBs; build custom integrations and data connectors; debug production APIs, models, and pipelines; ensure security, scalability, and observability; collaborate with sales, product R&D, and clients to productize field fixes and document reusable deployment playbooks.
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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.
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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.
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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.
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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.
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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.
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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.


