Top Tech Jobs & Startup Jobs

Own quality for AI-powered platform applications by designing functional and non-functional test strategies, automating APIs with Java and RestAssured, validating data across APIs and databases, debugging services and infrastructure, conducting JMeter performance tests, maintaining CI/CD pipelines, monitoring production health, and managing defects. The role also improves agentic AI workflows for test planning, automation, execution, triage, reporting, and production validation.

Owns People & Culture strategy and execution as a business partner. Responsibilities include understanding business and workforce needs, managing performance systems, shaping compensation and rewards, supporting behavioral hiring decisions, maintaining policies and compliance across India and the UK, and using people data to guide decisions on engagement, attrition, performance, and growth.

Lead the AI Data Ops operating model by building automation roadmaps, program governance, cost-efficiency initiatives, vendor performance frameworks, SOPs, dashboards, and KPI systems. Coordinate cross-functional initiatives, manage vendor SLAs and budgets, identify operational improvements, and translate ambiguous problems into structured plans. The role requires hands-on startup experience and focuses on creating scalable, repeatable processes for imagery sourcing, processing, annotation, and quality operations.

Lead AI-augmented product design across research, prototyping, visual exploration, production-ready design, and design systems. Collaborate with cross-functional teams to create journey maps, service blueprints, roadmaps, prototypes, and scalable components. Mentor teams on AI-assisted design practices, establish standards, and manage project scope, risks, and stakeholder communication.

Develop and apply analytical models to help utility clients solve business problems, optimize operations, and realize value from AiDASH products. Collaborate with clients, engagement managers, and R&D teams to structure problems for AI solutions, generate data-driven insights, and present findings, recommendations, and business impact. The role also requires independent project delivery, innovative problem-solving, and strong communication.

Conduct high-volume outbound prospecting through cold calls, LinkedIn, and personalized email campaigns targeting electric utility decision-makers. Qualify leads, schedule meetings for Account Executives, maintain accurate Salesforce records, collaborate with sales and marketing, achieve activity targets, analyze performance metrics, and represent AiDASH at industry conferences.

Own quality assurance for AI-powered backend applications by designing functional and performance test strategies, automating APIs with Java and RestAssured, validating data across APIs and databases, and conducting JMeter performance testing. Build CI automation pipelines, monitor applications using Kubernetes and AWS, manage defects, perform root-cause analysis, and validate AI/ML outputs. Collaborate across teams to prepare test data and improve testing frameworks and reporting.

Lead enterprise sales for AiDASH’s utility-sector climate resilience platform. Originate and close complex, multi-million-dollar deals, engage C-suite utility leaders, develop account and deal strategies, expand existing customer relationships, and collaborate with Customer Success and strategic partners. The role requires approximately 30% travel and involves elevating sales excellence across the go-to-market organization.

Lead pre-sales solution consulting for AiDASH’s electric utility platform. Discover customer needs, architect integrations, configure tailored demos, create proposals and RFP responses, present compelling business cases, coordinate cross-functional teams, advise on technical challenges, and share customer insights with Product. The role requires strong storytelling, technical problem-solving, project management, consultative selling, and up to 20% travel.