Lead operational execution for Product & Engineering: drive day-to-day SDLC, manage work from triage to completion, maintain GitHub Projects as source of truth, coordinate cross-functional teams, remove blockers, and improve engineering processes and delivery predictability.
About Syllo
Syllo is on a mission to transform litigation. Our product is a unified litigation platform that enables lawyers and paralegals to safely harness the power of language models and agentic AI throughout the litigation life cycle. Since going to market, we have gained a diverse group of enterprise customers, including some of the biggest law firms and corporations in the country, and we are quickly expanding. By reducing the expense of litigation industry-wide, we aim to improve access to high-quality representation and promote the alignment of legal outcomes with merit.
About the Role
We're growing quickly, and as our Product & Engineering organization expands, we're looking for someone who thrives on bringing clarity, structure, and operational excellence to fast-moving teams.
Responsibilities
As Syllo's Technical Program Manager, you'll own the operational pulse of Product & Engineering.
- Drive day-to-day execution of our software development lifecycle, maintaining alignment between teams without sacrificing speed.
This is a highly cross-functional role that requires exceptional organization, sound judgment, and the ability to balance strategic thinking with meticulous execution.
Qualifications
- 7+ years of experience in Technical Program Management, Technical Project Management, Engineering Operations, or a similar role supporting software engineering organizations.
- Demonstrated success leading execution across multiple engineering teams in a high-growth technology company.
- Strong understanding of modern software development practices, including Agile, Scrum, Git-based development workflows, CI/CD, and software release processes.
- Experience managing technical programs from planning through delivery, coordinating dependencies, resolving blockers, and driving cross-functional alignment.
- Comfortable partnering with highly technical engineering leaders while effectively communicating with Product, Design, QA, Customer Success, and executive leadership.
- Exceptional organizational skills with the ability to manage many concurrent initiatives without losing attention to detail.
- Strong judgment and the ability to balance competing priorities while helping teams make thoughtful tradeoffs.
- Proven ability to improve engineering processes and operational efficiency without introducing unnecessary bureaucracy.
- Excellent written and verbal communication skills, with the ability to translate technical work into clear updates for a broad range of stakeholders.
- Highly proactive and self-directed. You identify problems before they become blockers and build systems that help teams operate more effectively.
- Comfortable working in a fast-paced startup environment where priorities evolve quickly and ambiguity is expected.
- Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
Salary Range ($160K to $190K) plus health insurance and equity.
United States - Remote Pay Range
$160,000—$190,000 USD
Similar Jobs
Artificial Intelligence • Machine Learning • Natural Language Processing • Software • Conversational AI
Lead end-to-end delivery of ML infrastructure and AI tooling programs, defining architecture and rollout strategies for training, serving, and monitoring. Coordinate research, engineering, product, and data teams to optimize inference cost/latency, build internal tools for experiment tracking and model versioning, and resolve bottlenecks to enable faster, scalable ML deployments.
Top Skills:
Aws SagemakerAzure MlBatching StrategiesCudaDistillationDvcFeature StoresGcp Vertex AiHugging FaceKv-Cache OptimizationMlflowPyTorchQuantizationTensorrtTorchserveVector DatabasesVllmWeights & Biases
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Lead cross-functional compiler software programs from concept to delivery, coordinating global teams, tracking risks and schedules, and improving development processes. Present status to executives, drive Agile and Waterfall projects, resolve technical/resource conflicts, and implement process and tool automation to ensure timely product releases.
Top Skills:
AgileAICompilersCudaDeep LearningGpuJIRAMachine LearningMs ProjectOperating SystemsWaterfall
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
Lead and coordinate strategic AI programs across research, engineering, product, and business teams. Build roadmaps, governance, risk tracking, and success metrics. Align model development, training, inference, GPU capacity, and deployments. Resolve cross-team dependencies and report progress, tradeoffs, risks, and recommendations to leaders.
Top Skills:
Agentic SystemsAha!Ci/CdCloud InfrastructureConfluenceData-Center InfrastructureDeep Learning FrameworksDistributed SystemsFoundation ModelsGenerative AiGitGitGitlabGpu-Accelerated ComputingHigh-Performance ComputingJIRAKubernetesMultimodal ModelsWorkload Schedulers
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
