Top Tech Jobs & Startup Jobs in Austin, TX

Lead clinical sales support, customer implementations, account growth, and product feedback for a pharmacy intelligence platform. Serve as the pharmacy subject matter expert in demos, diligence, executive meetings, workflow discussions, and clinical quality reviews. Translate pharmacy expertise into customer guidance, product recommendations, reusable sales materials, and implementation processes while ensuring accuracy, patient safety, compliance, and effective communication with clinical, operational, commercial, and technical stakeholders.

Prospect enterprise and commercial real estate accounts through phone, email, LinkedIn, video, and other outbound channels. Research decision-makers, personalize messaging, generate qualified meetings and pipeline, maintain CRM data, and collaborate with sales and marketing. The role uses AI and automation to improve prospecting productivity and contributes market insights to refine sales strategies. Success requires meeting activity goals, navigating complex organizations, and continuously applying coaching and feedback.

Conduct outbound calls to prospects and existing customers, identify freight opportunities, reactivate inactive accounts, qualify shipment needs, and create opportunities for the sales organization. Maintain accurate CRM pipeline records, manage follow-ups, collaborate with Sales, Pricing, Customer Success, and Operations, and meet activity and opportunity-generation goals in a logistics environment.

Review and approve high-volume marketing and investor-facing content for SEC Marketing Rule compliance; conduct vendor due diligence and AI governance oversight; support books-and-records, testing, monitoring, and compliance program documentation; partner with stakeholders on training, disclosures, and remediation; manage compliance-related vendor relationships and projects.

Leads UDig’s Strategy and Design practice, shaping client business and product strategy, experience strategy, research, and design delivery. The role oversees key accounts, develops a large distributed team, grows offerings and client relationships, and establishes AI-first methods. Responsibilities include executive client engagement, product roadmaps, operating model modernization, quality oversight, hiring and coaching, utilization management, proposals, pricing, pitches, and practice reputation-building. Regular client travel is expected.

Drive client adoption, implementation, and delivery of Shibumi SaaS solutions. Configure applications to meet business requirements, translate client artifacts into solution structures, coach and train customers and partners, support pre-sales demonstrations and RFX responses, and manage multiple engagements. Use AI tools responsibly for analysis and productivity while protecting confidential client data.

Supports national Department of Transportation projects by identifying bids, reviewing plans, performing material takeoffs, preparing quotes and submittals, and ensuring products meet DOT specifications. Collaborates with sales representatives, engineers, contractors, and customers; tracks project progress in Salesforce and updates Power BI reports. The role requires blueprint interpretation, storm sewer product expertise, quote coordination, and cross-functional project process management.

Coordinate and confirm appointments between clients and security professionals; answer calls, emails, and messages; manage scheduling software and availability; send reminders and follow-ups; maintain accurate records; protect confidential client information; provide professional customer service.

Leads Year 15 LIHTC investment dispositions, investor exits, partnership restructurings, and ownership transfers. Analyzes partnership agreements, entity structures, tax impacts, valuations, waterfalls, NPV, and financial models. Coordinates due diligence and negotiations with investors, developers, syndicators, legal counsel, and internal teams while managing transaction risks and supporting affordable housing preservation. Prepares investment committee materials and recommendations for senior leadership.

Lead architecture and reliability for a high-scale alerting platform. Design rule-based, ML-driven, and correlated detection systems; own Kafka-based event delivery, webhook reliability, idempotency, and sustained-load performance. Transform security and network telemetry into topology and dependency models that support LLM-assisted investigation and remediation. Provide cross-team technical leadership, mentor engineers, and guide long-term platform strategy across multiple alerting teams.