Technical Program Manager

Position: Technical Program Manager

Location: Remote

Role Overview: We are looking for an experienced Technical Program Manager to drive the planning, coordination and successful delivery of complex technology programs across our AI-powered SaaS platforms in the RegTech, ESG, Sustainability, Compliance and Financial Reporting domains.

The role requires a strong technical background combined with excellent program management, execution, stakeholder management and problem-solving skills. You will work closely with Engineering, DevOps and Business teams to translate product strategy into executable technical programs, manage dependencies, track milestones, mitigate risks and ensure predictable, high-quality delivery.

You will serve as a bridge between business objectives and engineering execution, ensuring alignment across teams, visibility into program progress and timely resolution of technical and operational challenges. A solid understanding of modern software architecture, cloud infrastructure, APIs and AI/LLM-based applications is essential to effectively manage technically complex initiatives.

Key Responsibilities:

1. Technical Program Management & Delivery

Own end-to-end planning, coordination, execution and delivery of multiple technical programs and cross-functional initiatives.
Translate business requirements and product roadmaps into program plans, milestones, deliverables, timelines and measurable outcomes.
Coordinate with Engineering, DevOps and other stakeholders to ensure alignment on scope, priorities, dependencies and delivery commitments.
Establish program governance, execution tracking, reporting mechanisms and regular review cadences.
Monitor program progress against timelines, budgets, scope, quality standards and business objectives.
Identify delivery bottlenecks, proactively resolve blockers and drive decisions to keep programs on track.
Manage scope changes, competing priorities, resource constraints and cross-team dependencies.
Drive Agile/Scrum execution, sprint coordination, release planning and continuous improvement in delivery processes.
2. Technical Leadership & Architecture Coordination

Work closely with engineering leaders and architects to understand solution designs, technical dependencies, implementation approaches and delivery risks.
Facilitate technical discussions, architecture reviews, design decisions and cross-team alignment.
Evaluate technical trade-offs involving scalability, performance, security, maintainability, integration complexity and time to market.
Ensure technical decisions align with product objectives, architectural standards and long-term platform strategy.
Coordinate initiatives involving microservices, APIs, multi-tenant SaaS platforms, cloud infrastructure, data processing and enterprise integrations.
Identify technical risks early and drive mitigation plans in collaboration with engineering teams.
Provide technical guidance and challenge assumptions where required without becoming the primary owner of day-to-day coding or people management.
3. AI, Automation & Innovation Programs

Drive the planning and delivery of AI-powered product initiatives involving LLMs, generative AI, NLP and intelligent workflow automation.
Coordinate implementation of AI capabilities such as Retrieval-Augmented Generation (RAG), document intelligence, structured output generation, data extraction and automated validation.
Work with engineering and product teams to define technical milestones, acceptance criteria, dependencies and success metrics for AI initiatives.
Ensure AI implementations address accuracy, reliability, performance, data privacy, security, explainability and operational requirements.
Track model and provider integrations, evaluation activities, deployment readiness and production adoption.
Facilitate the evaluation and adoption of emerging technologies that improve product capabilities, engineering efficiency and business outcomes.
4. Stakeholder Management & Communication

Act as the primary coordination point between technical teams, product leadership, business stakeholders and senior management for assigned programs.
Communicate program status, risks, dependencies, resource requirements and delivery forecasts through clear and actionable reporting.
Set expectations with stakeholders regarding timelines, scope, technical constraints and trade-offs.
Facilitate program reviews, steering meetings, retrospectives and escalation discussions.
Ensure business requirements are translated into clear technical deliverables and that engineering outcomes meet stakeholder expectations.
Drive alignment across distributed teams and ensure accountability for commitments and decisions.
5. Risk, Quality & Release Management

Maintain program-level risk, assumption, issue and dependency tracking, with clear ownership and mitigation plans.
Establish appropriate quality gates, acceptance criteria, testing milestones and release-readiness processes.
Coordinate integration testing, user acceptance testing, performance testing, security assessments and production releases.
Track critical defects, technical debt, operational concerns and unresolved issues that may affect delivery or product reliability.
Ensure delivery processes support security, compliance, auditability and enterprise customer requirements.
Conduct post-release reviews and drive corrective actions and continuous improvement initiatives.

6. Process Improvement & Program Metrics

Define and track meaningful delivery metrics, including milestone adherence, predictability, lead time, defect trends, dependency resolution and release quality.
Improve planning, estimation, prioritization, resource coordination and cross-team execution practices.
Standardize program documentation, decision logs, status reporting and escalation processes.
Identify opportunities to improve engineering productivity, delivery efficiency and collaboration.
Promote a culture of ownership, transparency, accountability and continuous improvement.
Required Skills & Experience

10+ years of overall experience in software development, technical delivery, engineering or technology program management.
5+ years of experience managing complex technical projects or programs involving multiple teams and stakeholders.
Strong understanding of software development lifecycle, Agile/Scrum methodologies, release management and program governance.
Proven track record of delivering complex technology initiatives within agreed timelines and quality expectations.
Strong technical understanding of enterprise application architecture, APIs, databases, cloud infrastructure and distributed systems.
Experience managing dependencies, risks, competing priorities, scope changes and stakeholder expectations.
Excellent written and verbal communication, analytical thinking, decision-making and problem-solving skills.
Ability to engage effectively with both senior business stakeholders and hands-on engineering teams.
Experience working with remote or geographically distributed teams.
Technical Knowledge

The candidate should have a strong working understanding of the following technologies and concepts:

Backend: Node.js, Python, Flask, and/or FastAPI.
Frontend: Angular or React, TypeScript, HTML and CSS.
Cloud & Infrastructure: AWS, Azure or equivalent cloud platforms.
Containers & Deployment: Docker, Kubernetes, CI/CD pipelines and Linux environments.
Architecture: REST APIs, microservices, event-driven systems, multi-tenant SaaS and distributed applications.
Data & Storage: Relational databases, data modeling, caching, object storage and data integration patterns.
Engineering Practices: Version control, code review processes, automated testing, observability and production release management.
Note: This position requires technical fluency to guide and coordinate engineering delivery; expert hands-on proficiency in every technology is not mandatory.

Preferred Experience

Experience in Enterprise SaaS, FinTech, RegTech, ESG, Sustainability, Compliance or Financial Reporting platforms.
Experience delivering regulatory reporting, disclosure management, financial data processing or audit-focused software.
Familiarity with XBRL, iXBRL, regulatory taxonomies, validation workflows or structured reporting standards.
Experience managing multi-team programs involving complex integrations, large datasets and enterprise customer requirements.
Experience coordinating cloud migrations, platform modernization, system integrations or architecture transformations.
Familiarity with information security, data privacy, regulatory compliance and enterprise software delivery controls.
AI & LLM Experience

Experience managing or delivering AI-powered applications involving some of the following:

Large Language Models (LLMs), NLP and generative AI.
Prompt engineering and structured output generation.
Retrieval-Augmented Generation (RAG) and retrieval pipelines.
LangChain and/or LlamaIndex.
Vector databases such as FAISS, ChromaDB or Pinecone.
Embeddings, semantic search and document intelligence.
AI model evaluation, accuracy measurement and quality assurance.
Integration with managed AI services and model providers.
AI security, privacy, governance and responsible deployment practices.
Tools & Delivery Practices

Experience with program and project management tools such as Jira, Azure DevOps or equivalent platforms.
Proficiency in maintaining roadmaps, delivery plans, RAID logs, dependency trackers and executive status reports.
Experience with Agile planning, sprint reviews, retrospectives, release coordination and cross-functional governance.
Ability to define measurable outcomes and use delivery metrics to improve execution predictability