• Execute targeted sales motion to land early customer deals, pressure testing positioning, pricing, and solution design in real customer environments • Partner with AEs, SEs, and Post-Sales to co-sell, support pilots, and ensure strong implementations • Act as the connective tissue between the field and internal teams—turning customer insight into actionable feedback for Product, Marketing, and Enablement • Pressure test the full GTM lifecycle—from value proposition and pricing through to successful adoption and measurable outcomes, translating early learnings into repeatable sales plays and enablement content • Accurately forecast AI platform opportunities for new and existing business

• Design, configure, test, and deploy AI-enablement applications using low-code/no-code platforms. • Develop intuitive user interfaces that expose AI capabilities—including generative, agentic, and NLP-based intelligence—to business and operational teams. • Translate model outputs into business workflows, integrating with existing platforms and use cases. • Collaborate with data engineers and data scientists to transition solutions from analytical environments (e.g., Databricks) into production. • Develop Python and SQL logic to support automation, orchestration, and system integration where low-code tools are insufficient. • Conduct application performance testing and troubleshooting efforts to enhance reliability. • Ensure application solutions meet usability, accessibility, compliance, and performance standards. • Develop within Agile and iterative methodologies with rapid prototyping and feedback incorporation. • Support deployment activities and incident management as needed. • Work across IT, platform architecture, and analytics teams to ensure smooth production deployment. • Perform any other job related duties as requested.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We're building the world's first viral agent. An AI purpose built for influencer marketing. Not a tool. Not a platform. An autonomous agent that goes from "I need this campaign to break" to "50 influencers live next week" with minimal human intervention. What we're looking for: - Elite builders who want full ownership, not a narrow role. - This is not a “data engineer” job in the traditional sense. - Opportunity to own the full lifecycle: from raw video ingestion to the decisions made by autonomous AI agents in production. - Meaningful equity to people who want to define the future of agentic AI and own a real piece of it. Qualifications - Expert-level Python engineering with clean, modular, reusable code. - Experience building scalable data pipelines for unstructured data (video, audio, multimodal). - Strong understanding of video/sound processing (codecs, frame extraction, batch & streaming workflows). - Hands-on experience building AI agents: memory, planning, tool use, and execution loops. - Ability to design systems that go from raw data → insight → autonomous action. - Experience with embeddings, multimodal models, and LLM-powered workflows. - Strong grasp of performance, scalability, and reliability in data-heavy systems. - Comfortable owning architecture decisions end-to-end, from ingestion to production agents. - Familiarity with cloud infrastructure (AWS/GCP) and scalable compute setups. Requirements - Full-stack AI generalist: you don’t believe “that’s someone else’s job”. - Thrives in ambiguity and sees lack of structure as an opportunity to define standards. - Ships fast and values real-world impact over academic perfection. - Obsessed with turning data into leverage through automation and agents. - Wants to build systems that actually run the business, not just dashboards or models. - Bonus: Expertise in working with social media data. Benefits - Competitive equity in a venture-backed company shaping the future of music influencer marketing. - A seat at the table as we update and develop our AI Agent to power smarter matchmaking and campaign automation. - Access to elite tools, AI copilots, and a team that builds daily at top speed. - The opportunity to shape the foundation of Influur’s AI systems that empower creators and brands globally. Company Description We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

• Lead technical assessment of current AI automation infrastructure and identify optimization opportunities • Establish relationships with global finance leadership, IT architecture teams, and regional stakeholders • Conduct deep-dive analysis of existing SAP, Salesforce, and cloud platform integrations to identify AI enhancement opportunities • Mentor junior developers and establish technical standards for the India AI development team • Present strategic roadmap for AI-driven financial automation to senior leadership • Architect and lead development of enterprise-scale AI solutions for financial process automation (P2P, O2C, R2R cycles) • Design and implement advanced prompt engineering frameworks for complex financial document processing and analysis • Lead integration projects connecting AI models with SAP S/4HANA, Salesforce Financial Services Cloud, and multi-cloud environments • Establish CI/CD pipelines for AI model deployment with enterprise-grade security, compliance, and monitoring • Drive technical decision-making for cloud infrastructure scaling across AWS/Azure/GCP platforms • Collaborate with global teams to ensure 24/7 system reliability and performance optimization • Own end-to-end delivery of mission-critical AI automation platforms serving global finance operations • Lead technical presentations to C-suite executives, translating AI capabilities into strategic business value • Establish center of excellence for AI development practices, including code review standards, testing frameworks, and deployment protocols • Drive innovation in real-time financial analytics, predictive modeling, and intelligent reporting systems • Mentor and scale the India AI development team, establishing career development pathways • Lead vendor evaluations and technology partnerships for next-generation AI capabilities • Ensure compliance with global data governance, financial regulations, and security standards