Top Tech Jobs & Startup Jobs

Leads Redwood’s APAC technical support organization from Hyderabad, overseeing 24x7 operations, customer escalations, service performance, workforce planning, talent development, and regional growth. Partners with Engineering, Product, Sales, Customer Success, People, and Finance to improve product quality, incident response, support workflows, and AI-assisted automation. Owns executive customer communications, major incidents, succession planning, and follow-the-sun support delivery across enterprise SaaS and on-premises products.

The Senior Full Stack Software Developer will design, develop and implement scalable applications, manage system architecture, mentor developers, and drive engineering excellence.

Serve as the primary technical and strategic partner for existing customers. Drive adoption, conduct health checks and business reviews, identify expansion opportunities, deliver demonstrations and proofs of concept, troubleshoot escalations, coordinate cross-functional teams, manage concurrent projects, and advocate for customer needs. The role combines technical solutioning, account growth, post-sales adoption, and customer success leadership.

Develop scalable Java applications and microservices using Spring, while applying AI-assisted development and prompt engineering throughout the SDLC. Build and maintain CI/CD pipelines, cloud deployments, containerized services, and observability solutions. Collaborate with product managers, designers, and engineers on architecture, testing, documentation, and complex problem-solving. The role also involves reviewing AI-generated code, working with front-end technologies and databases, and applying agile, TDD, or BDD practices.

Build and maintain integrated financial models, forecasts, budgets, and scenario analyses for revenue, costs, cash flow, and SaaS metrics. Analyze performance variances, customer economics, cloud costs, and gross margins. Partner with Finance, Sales, Revenue Operations, Product, and infrastructure leaders to validate assumptions, improve forecasting, and support strategic decisions. Present concise financial insights and recommendations to executives and non-financial stakeholders.

Owns marketing campaign execution and automation in Marketo, including program builds, QA, nurtures, landing pages, workflows, lead scoring, routing, and attribution. Manages Salesforce-Marketo integrations, martech tools, data hygiene, governance, lifecycle operations, and reporting consistency. Partners with demand generation, sales development, and revenue operations teams to troubleshoot issues, improve lead handoffs, document processes, and maintain accurate campaign tracking in a B2B SaaS environment.

Supports Alliances and Partner Managers by owning partner operations, processes, forecasting, compliance, performance reporting, and data systems. Manages AWS Marketplace listings, private offers, co-sell referrals, partner pipeline, Salesforce Partner Portal data, and marketplace reporting. Partners cross-functionally with Sales, Finance, Marketing, and Professional Services to improve channel efficiency, documentation, and scalability.

Leads hands-on design and delivery of production-grade AI, agentic systems, and reusable platform capabilities. Builds agent workflows involving reasoning, tools, retrieval, memory, policy controls, evaluation, observability, and reliability mechanisms. Owns complex architecture and production operations, resolves technical issues, establishes engineering standards, evaluates emerging AI technologies, and coordinates delivery across product, platform, security, data, and operations teams.

Leads engineering teams building Redwood’s shared AI platform, agentic capabilities, developer tools, and product integrations. Translates AI strategy into roadmaps, manages hiring and performance, guides architecture, and ensures secure, scalable, observable production systems. Partners cross-functionally on governance, reliability, quality, cost, and platform adoption while communicating risks and outcomes to senior stakeholders.

Designs, builds, and operates production-grade AI services, agentic workflows, and reusable platform capabilities. Responsibilities include agent orchestration, tool use, retrieval, evaluation, observability, security, reliability, and model integration. The engineer leads complex technical initiatives, reviews architecture and code, resolves production issues, creates reusable frameworks, and collaborates with product, security, data, architecture, and operations teams. The role requires hands-on software engineering alongside technical leadership and architectural decision-making.