Technical Project Manager

About CNTXT

CNTXT AI is transforming enterprise analytics by leveraging powerful AI and agentic systems to make data insights readily accessible. Their AI-driven platform integrates with various databases, documents, and SaaS services to enable business users to ask questions and receive instant interactive answers, aiming to empower every employee to function as their own data analyst.

The Role

The company is looking for a Technical Project Manager to oversee the smooth delivery of their AI analytics platform. This pivotal position ensures efficient execution by the engineering team and close collaboration with the Product team, requiring someone adept at navigating high-paced environments and translating complex technical needs into clear, actionable plans.

Key Responsibilities

• Plan and facilitate sprint cycles for backend, AI/ML, and frontend engineering teams.
• Collaborate on product requirements and own synchronized delivery planning aligned with work tickets.
• Coordinate feature rollouts across diverse technical streams and manage dependencies.
• Confirm achievable sprint commitments and adherence to delivery schedules.
• Oversee smooth handoffs between backend infrastructure, AI/ML algorithms, and frontend components.
• Identify potential blockers early to prevent delivery delays.
• Work alongside the Technical Product Director to prioritize features and scope.
• Lead technical discussions ensuring alignment across engineering disciplines.
• Maintain and revise project roadmaps with precise delivery forecasts.
• Monitor and communicate engineering velocity, burndown charts, and other delivery indicators.
• Conduct risk evaluations and formulate mitigation strategies for technical releases.
• Coordinate preparation efforts for customer demos and plan releases.
• Implement and uphold engineering processes including code reviews, testing, and deployment standards.
• Document technical decisions and system architecture thoroughly.
• Manage QA testing workflows and bug triage sessions.
• Track technical debt and organize plans for its resolution.
• Provide regular delivery updates to leadership and other key stakeholders.
• Facilitate integration of customer feedback into product development and clarify feature requirements.
• Bridge communication between engineering teams and sales or customer success departments.
• Organize retrospectives to drive continuous process improvements.

Required Qualifications & Skills

• Minimum 4 years of experience leading technical product delivery, especially within AI/ML or data platforms.
• Demonstrated success in delivering complex software solutions on time and within defined scope.
• Proficient with agile frameworks such as Scrum and Kanban, and skilled in project management tools.
• Comprehensive understanding of software development lifecycles and managing technical interdependencies.
• Strong comprehension of data infrastructure, APIs, and system architectures.
• Experience handling the challenges of AI/ML projects including model training, data pipelines, and integration.
• Familiar with cloud platforms like AWS, GCP, or Azure and modern development methodologies.
• Ability to contribute to technical conversations without being a developer actively writing code.
• Excellent communication aptitude, capable of translating technical concepts for business and vice versa.
• Experience managing expectations across multiple stakeholders including engineering, product, sales, and executives.
• Skilled in facilitating difficult discussions and resolving conflicts effectively.
• Presentation skills suited for customer demos and executive briefings.
• History of establishing engineering processes within fast-paced startup environments.
• Analytical mindset focused on tracking and improving team productivity through data.
• Understanding of quality assurance and release management practices.
• Ability to balance rapid feature delivery with managing technical debt.

Desirable Attributes

• Background in enterprise software delivery and catering to B2B customer needs.
• Prior experience in analytics, business intelligence, or data platform sectors.
• Relevant certifications such as PMP or Scrum Master.
• Experience coordinating distributed or remote engineering teams.
• Experience in technical consulting or client-facing technical roles.

What We Offer

• Competitive compensation and equity participation.
• Strategic role in growing and refining engineering operations.
• Significant influence on product delivery success and client satisfaction.
• Collaborative environment promoting autonomy and best practice development.

Tools Utilized

• Agile project management platforms including Jira and Linear.
• Communication tools such as Slack, Notion, and Google Workspace.
• Development resources including GitHub and CI/CD pipelines.
• Custom analytics dashboards for monitoring delivery metrics.
• Customer feedback integration via CRM systems.

Impact Expectations

Within the initial 90 days, the incumbent will establish a reliable delivery cadence enabling consistent feature rollouts to enterprise clients. Their effective coordination across data infrastructure, AI components, and user interface modules will be instrumental in winning and maintaining customers, while supporting growth into new enterprise markets.