Top Tech Jobs & Startup Jobs in Indianapolis, IN

The Sales Associate will manage relationships with small and mid-market prospects, handling the full sales cycle and RFP responses, coordinating with internal teams, and meeting sales targets.

The WordPress Developer will design and implement features, guide website architecture, and manage CMS technical aspects while ensuring responsive web designs.

The Technical Product Marketing Manager develops go-to-market strategies, creates sales enablement tools, and optimizes website content to support product messaging and customer engagement in technology solutions.

Manage analytical service operations by overseeing a team, designing software for data mining, developing statistical models, and generating insights for marketing outcomes. Provide training and mentorship to direct reports.

The Senior Product Strategist at Coupa defines and drives product strategy, ensuring alignment between market opportunities, customer needs, and product roadmap priorities. This role requires collaboration with various teams to translate strategy into execution, focusing on long-term priorities and the integration of product strategy with pricing and packaging models.

Support day-to-day operations of the Setup Sessions program by managing databases, running workflows for onboarding and payouts, and streamlining processes using Notion AI.

As an AI Controls Solutions Engineer, you will operationalize Phaidra's AI solutions for customers, create models for facility ingestion, define product requirements, and collaborate closely with the data science and product teams. The role may involve 25% travel.

The Senior Associate in Technology Operations monitors the production environment, reviews processes, drives improvements, and ensures operational readiness, with responsibilities across various technical platforms and teams.

Lead and develop a team of Account Executives in the B2B SaaS sector, focusing on building materials and related industries to drive new logo growth and revenue.

The MLOps Engineer will design scalable ML infrastructure, manage containerized environments, develop training pipelines, and implement CI/CD pipelines, ensuring model reliability and performance.

The Machine Learning Engineer will develop and optimize models for processing tax documents, mentor juniors, and collaborate across teams.