Want to know if this job is worth applying to?
Atlanta, Georgia, United States
Hybrid
Not Available
· Partner with the SVP of Technology to define technical strategy, architecture standards, platform direction, and modernization priorities.
· Review major architecture decisions across software, data, AI/ML, cloud, infrastructure, and integration platforms.
· Challenge weak technical designs and guide teams toward scalable, maintainable, and cost-effective solutions.
· Serve as the SVP’s delegate in technical reviews, planning discussions, vendor evaluations, and cross-functional initiatives.
· Lead and guide AI, ML, data engineering, analytics, and automation initiatives.
· Help teams move AI ideas from prototype to production-grade systems.
· Provide direction on RAG, agentic systems, LLMOps, reasoning models, model evaluation, data pipelines, data governance, observability, and responsible AI practices.
· Ensure AI and data platforms are reliable, measurable, secure, and aligned to business outcomes.
· Work with technology leads to improve delivery discipline, technical quality, and engineering consistency across teams.
· Identify execution risks, technical debt, infrastructure bottlenecks, and unclear ownership.
· Help unblock complex technical and organizational issues.
· Drive measurable improvements in reliability, delivery speed, system performance, and engineering productivity.
· Coach tech leads, architects, staff engineers, engineering managers, data engineers, ML engineers, and software engineers.
· Raise the technical bar through architecture reviews, mentoring, design critiques, and hands-on guidance.
· Support hiring, onboarding, technical career growth, and succession planning.
· Identify and develop future technical leaders.
· Partner with cloud, DevOps, infrastructure, and finance teams to manage technology cost and platform efficiency.
· Review cloud spend, tooling, licensing, vendor usage, and build-versus-buy decisions.
· Drive cost optimization without compromising scalability, security, reliability, or product quality.
· Establish KPIs around system reliability, infrastructure efficiency, AI quality, platform reuse, and engineering effectiveness.
· Other duties as assigned.
· Bachelor's degree in software engineering or a related technical field.
· 10+ years of experience in software engineering, architecture, data engineering, AI/ML, cloud infrastructure, or platform engineering.
· 5+ years leading technical teams, architects, engineering managers, or senior engineers, preferably in a global environment.
· Strong technical depth across modern software architecture, APIs, distributed systems, cloud platforms, DevOps, and data platforms.
· Hands-on understanding of AI/ML systems, including LLMs, reasoning models, multimodal models, embeddings, rerankers, RAG, agent workflows, model evaluation, and production deployment.
· Experience evaluating when to use general-purpose LLMs, smaller task-specific models, reasoning models, and traditional ML models based on accuracy, latency, cost, risk, and business value.
· Familiarity with prompt engineering, structured outputs, tool/function calling, agentic workflows, model orchestration, hallucination reduction, and LLM observability.
· Ability to guide teams on LLM selection, inference cost optimization, model safety, guardrails, data privacy, and production deployment.
· Understanding of emerging AI architecture patterns, including multi-agent systems, reasoning loops, retrieval-augmented generation, memory, model routing, and human-in-the-loop review.
· Experience with data engineering, analytics platforms, lakehouse/warehouse architecture, data quality, and governance.
· Strong judgment in technical decision-making, cost tradeoffs, risk management, and execution planning.
· Ability to influence senior technical leaders without needing direct authority over every team.
· Strong communication skills with executives, product leaders, engineers, and business stakeholders
· Ability to lead, decide, coach and execute and represent the SVP as required.
· Experience with AWS, Azure, Databricks, Snowflake, Kubernetes, Kafka, Spark, MLflow, Terraform, CI/CD, and observability platforms.
· Experience building production systems using OpenAI, Anthropic Claude, Amazon Bedrock, Azure OpenAI, Databricks Foundation Models, or open-source models such as Llama and Mistral.
· Experience with LLMOps, including prompt/version control, evals-as-code, regression testing, model monitoring, AI quality metrics, and cost/latency tracking.
· Experience building production AI platforms, enterprise RAG systems, agentic workflows, or AI governance programs.
· Strong software engineering background in Python, Java, C#, TypeScript, or similar.
· Experience with DDD, CQRS, event-driven architecture, microservices, clean architecture, and platform engineering.
Experience in enterprise SaaS, fintech, nonprofit/association software, or regulated industries.
#LI-MH1 #momentivesoftware
Momentive Software amplifies the impact of over 20,000 purpose-driven organizations in over 30 countries, with over $11 billion raised and 55 million members served to date. Mission-driven nonprofits and associations rely on Momentive’s cloud-based software and services to address their most pressing challenges – from engaging their communities to simplifying operations and growing revenue. Designed to help organizations connect more, manage more, and ultimately expect more, Momentive's solutions are built with reliability at the core and strategically focus on fundraising, learning, events, careers, volunteering, accounting, and association management. Momentive partners with organizations that believe "good enough" is never enough – so they can bring on better outcomes for everyone they serve. Learn more at momentivesoftware.com.
At Momentive Software, we’re a team of passionate problem-solvers, innovators, and volunteers who believe in using technology to make a real difference. We dream big, support each other, and take pride in creating solutions that help our customers drive meaningful change. If you’re looking for a place where your work matters and your ideas are valued, you’ll find it here.
Medical, Dental & Vision Benefits
401(k) Savings Plan with Company Match
Flexible Planned Paid Time Off
Generous Sick Leave
Inclusive & Welcoming Environment
Purpose-Driven Culture
Work-Life Balance
Commitment to Community Involvement
Employer-Paid Parental Leave
Employer-Paid Short-Term Disability
Remote Work Flexibility
Momentive Software actively embraces diversity and equal opportunity in a meaningful way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be, which is why we do not discriminate based on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
All persons hired will be required to verify identity, minimum age of 18, eligibility to work in the United States (without sponsorship), and to complete the required employment eligibility verification form upon hire.