Jobs at InFynd

Lead end-to-end production of corporate, SaaS, product, AI, marketing, advertising, short-form, and long-form videos. Responsibilities include concept development, scripting, storyboarding, filming, editing, motion graphics, color and audio post-production, captions, and final delivery. Create technical explainers, product demos, sales-enablement content, and supporting graphics while maintaining brand standards. Use AI creative tools, collaborate cross-functionally, and analyze video performance to improve creative results. Independently manage projects, shoots, deadlines, and a mandatory portfolio of relevant work.

Manage and optimize AWS and Azure cloud infrastructure, networking, IAM, virtual machines, storage, load balancers, backups, and hybrid or multi-cloud environments. Implement infrastructure using Ansible and Terraform, troubleshoot network performance, monitor availability, and support high-scale architectures. Maintain CI/CD pipelines, deployment automation, and containerized deployments with Docker and Kubernetes while collaborating with infrastructure, security, platform, and development teams.

Develops and manages multi-channel B2B marketing campaigns focused on lead generation and engagement. Creates email, landing page, and collateral copy; manages audience segmentation and databases; uses marketing automation tools; analyzes performance and ROI; produces reports; and recommends data-driven optimizations. Collaborates with internal teams and global clients while independently managing campaign deliverables, email outreach, deliverability, and strategic campaign planning.

Research potential leads using search engines, business directories, social media, and other tools. Maintain accurate lead databases, validate prospect information, analyze trends, follow up on inquiries, and prepare daily activity reports. The role requires computer proficiency, internet research, data extraction, typing accuracy, spreadsheet knowledge, communication skills, attention to detail, and willingness to learn.

Lead the development and deployment of scalable AI and machine learning solutions using LLMs, NLP, neural networks, and modern MLOps practices. Build data pipelines, automate training and deployment workflows, optimize model performance, conduct data analysis and feature engineering, and integrate models into applications through APIs, microservices, and cloud platforms. Collaborate with data, product, and software engineering teams while tracking advancements in AI and generative AI.

Design and maintain scalable batch and streaming data pipelines using Azure Databricks, Spark, Delta Lake, Azure Data Factory, and related Azure services. Build governed Lakehouse architectures across Bronze, Silver, and Gold layers; optimize storage, partitioning, queries, and clusters; implement infrastructure as code; and support CI/CD deployments. Develop reusable pipeline components and integrate streaming, governance, security, and access-control solutions across enterprise data platforms.

Lead frontend and backend developers in designing scalable architectures and implementing applications with Node.js and React.js. Drive system design, technical decisions, coding standards, security, performance optimization, code quality, deployment, CI/CD, cloud infrastructure, troubleshooting, and cross-functional collaboration. The role requires expertise in JavaScript or TypeScript, microservices, APIs, event-driven systems, databases, cloud platforms, containerization, and modern development tools.

Plan, execute, and optimize multi-channel paid acquisition and full-funnel demand generation campaigns. Manage large marketing budgets, build ABM and lead-nurturing programs, improve conversion rates through testing, and develop attribution dashboards. Analyze CPL, CAC, ROAS, pipeline, and revenue performance while collaborating with sales, product, and customer success teams to generate qualified leads, demos, pipeline, and revenue growth.

Lead the architecture and development of a Risk and Entity Intelligence Platform. Build scalable data pipelines, ETL and ingestion systems, entity resolution capabilities, graph database solutions, and risk intelligence products. Apply compliance, KYC/AML, sanctions, and multilingual data expertise while making technical decisions and mentoring engineers. The role also involves working with APIs, web scraping, cloud infrastructure, workflow orchestration, and large-scale data acquisition.

Manage end-to-end accounting for Indian and UK entities, including books, invoicing, accounts receivable and payable, reconciliations, cash flow, financial reporting, budgeting, taxation, statutory compliance, audits, intercompany transactions, and multi-currency accounting. Use Zoho Books and Excel while coordinating with UK stakeholders, auditors, tax consultants, and regulatory authorities. Improve accounting processes and strengthen financial controls.

Designs end-to-end architectures and technical solutions for complex enterprise applications. Leads full-stack development across frontend, backend, databases, APIs, and cloud environments, while evaluating AI/ML and generative AI opportunities. Defines technology standards, reviews code and designs, manages technical risks, mentors engineering teams, and drives scalable, secure, high-performance solutions. Collaborates with product and business stakeholders to translate requirements into practical architectures and continuously improve development practices.