Top Tech Jobs & Startup Jobs in Chicago, IL

Build and operate Resend’s scalable AWS platform, infrastructure, tooling, and self-service workflows. Responsibilities include infrastructure as code, platform standards, observability, reliability improvements, incident response, automation, and collaboration with engineers across the company. The role requires expertise in distributed systems, cloud infrastructure, networking, delivery pipelines, and production operations, with opportunities to work on high-throughput systems and developer tooling.

Lead Apono’s product organization and oversee its platform and integration with 1Password. Set product direction, manage roadmaps and releases, align cross-functional teams, engage enterprise customers, and coach Product Managers. Partner with Engineering on technical decisions and collaborate with Design, GTM, Sales, Marketing, and Customer Success to deliver secure access-management products and measurable customer impact.

The Sales Consultant will generate and close new business within life sciences territories. Responsibilities include prospecting, cold calling, emailing senior decision-makers, qualifying inbound leads, arranging meetings and demos, developing strategic account plans, forecasting, identifying revenue opportunities, and managing cross-functional client relationships. The role is fully remote, with travel to client sites, conferences, and events as needed.

Annotate construction drawings using bounding boxes, polygons, and segmentation masks for computer vision models. Maintain consistent, accurate labels, clean datasets, identify ambiguous cases, and help improve annotation guidelines. Meet weekly quality and throughput targets while communicating data issues to ML engineers. The role requires focused repetitive work, precise instruction-following, independent remote work, and clear written English. It is a remote, 3–6 month contract with potential full-time conversion.

Own demand generation strategy, pipeline targets, performance marketing, website conversion, SEO, ABX, signal-based campaigns, outbound programs, marketing operations, and analytics. The role requires hands-on campaign creation, paid search and social management, martech ownership, AI agent and workflow development, and close collaboration with sales, product marketing, and events to drive revenue.

Provides remote virtual assistant services for multiple business clients, including project management, scheduling, email management, lead conversion, research, data entry, deadline tracking, and adapting to changing priorities. Requires strong communication, independent problem-solving, technology skills, and the ability to manage multiple clients with limited oversight.

Serve as an application security partner to web and backend engineering teams. Lead security design reviews, threat modeling, code reviews, vulnerability remediation, and secure SDLC initiatives. Integrate SAST, SCA, and DAST tooling into CI/CD pipelines, develop AppSec automation, conduct SaaS and open-source security assessments, and support incident response. Collaborate with data science teams on AI/ML security and guide engineers in secure coding practices.

Lead and coach an enterprise sales team while personally driving complex six- and seven-figure deals. Own forecasting, pipeline management, deal strategy, executive relationships, pricing, and escalations. Build and scale Bland’s go-to-market function through sales processes, playbooks, hiring, and team structure. Partner with Marketing, RevOps, Product, and company founders while promoting AI-enabled sales workflows.

Owns SMB new-logo pipeline generation through email, outbound SDR, ABM, and event campaigns. Builds campaigns and workflows in HubSpot and Unify, uses AI and performance data for targeting and optimization, writes campaign copy, manages the campaign calendar, partners with Sales, SDRs, Content Marketing, and RevOps, and reports on pipeline performance. This remote U.S. role requires quarterly travel to New Orleans and additional event travel.

Design and deploy production recommendation and retrieval engines, build data orchestration pipelines for multiple modalities, implement agentic workflow frameworks, and prototype, optimize, and scale models with monitoring, governance, and low-latency SLAs.