Top Tech Jobs & Startup Jobs in Austin, TX

Own HashSphere's up-market product roadmap for tokenization and markets, translate Tier-1 financial institution requirements into engineering-ready features, support enterprise sales cycles (technical evaluations, InfoSec, RFPs), partner with Asseto and ioBuilders, run customer discovery and prototypes using AI tools, and codify repeatable GTM plays for enterprise FSI use cases.

This role involves developing and executing product-led growth strategies, optimizing marketing funnels, and creating compelling narratives for audience engagement.

Lead product demonstrations, proofs of concept, and short-cycle trials for FP&A leaders. Translate Aleph’s AI and automation capabilities into finance business value, configure solutions, answer technical and finance questions, and guide stakeholders through evaluations. Engage CFOs and VPs, support sales execution, and relay customer insights to Product and Engineering. The role requires strong FP&A and financial modeling expertise, spreadsheet fluency, comfort with AI, and the ability to work independently in a remote environment.

Own CIQ’s channel-led revenue by recruiting and developing resellers, VARs, SIs, MSPs, and distributors. Build partner pipelines, negotiate agreements and economics, enable partner sellers and engineers, establish program mechanics, manage co-selling and channel conflict, coordinate demand generation, and forecast channel-sourced and influenced revenue. The role requires hands-on channel sales experience, commercial judgment, partner relationship-building, and experience creating or scaling partner programs.

Develop and ship gameplay features, UI, and systems for the open-source Threadbare game using an existing codebase. Responsibilities include debugging, performance and stability improvements, testing, code reviews, planning, tooling, documentation, and collaboration with design and art. The role also involves reviewing learner code, providing written mentorship, supporting educational tooling, and participating in occasional community events.

Leads customer success for enterprise B2B SaaS clients by managing onboarding, implementations, workflow deployments, platform configuration, technical escalations, testing, and digital transformation initiatives. Advises customers on process mapping and product configurations, drives adoption and expansion, supports business development, manages project milestones and contracts, and collaborates with engineering and data science teams. Travel within the U.S. and Canada may reach 25% annually.

Serve as Spellbook’s in-house transactional legal expert and product strategist. Support sales calls, demos, RFPs, training, webinars, CLE sessions, and thought leadership. Translate legal workflows into product requirements, participate in feature discovery and testing, and collaborate with product, engineering, sales, and customers to improve AI-powered contract workflows.

Supports credit portfolio management for large agricultural accounts by analyzing financial statements, tax returns, cash flow, credit reports, industry trends, and repayment capacity. Provides underwriting recommendations, conducts credit reviews, performs lien priority analysis, drafts security agreements and UCC-1 filings, supports collections and asset discovery, and maintains compliance with company procedures and applicable regulations. Collaborates with Credit Managers and cross-functional partners while managing financial reporting, data analysis, and accounts receivable activities.

Develop and release Esri software for GIS, photogrammetry, remote sensing, defense, and intelligence workflows. Build high-performance image processing capabilities, algorithms, APIs, cloud-friendly desktop and enterprise applications, and support multiple imagery modalities and data formats. Collaborate with developers and product engineers to integrate libraries into ArcGIS, solve complex application-design problems, and mentor junior developers.

Analyze telematics, IoT, sensor, and firmware data to evaluate hardware performance, reliability, and field issues. Build dashboards and reports, identify trends and anomalies, apply statistical and machine learning techniques, validate firmware improvements, and provide actionable insights to engineering, product, data science, and customer support teams. Help develop scalable data pipelines and promote data-driven hardware and software development.