Lead Principal Technical Program Manager - ML Platform Job at Atlassian

Senior Principal Technical Program Manager - ML Platform

Location

Salary:

231300.00 - 301975.00 USD / Year

Atlassian

Expiration Date

Until further notice

Requirements

8+ years of experience on software teams as Development Manager, Technical Product Manager or TPM leading technical platforms areas
Deep domain experience in AI and/or Search. Example: Model Inference, Model Evaluation, Model Training, LLM Ops, Semantic Search, Search Relevance, etc.
Partner with Engineering in defining direction, strategy and execution at Platform level
Strategic thinking and ability to understand business objectives to translate them into technical problems and programs.
Technical understanding of systems involved. Willingness to develop domain expertise in the area they operate - storage, networking, authentication, capacity management, service deployments, etc.
TPMs are not expected to write or read code, but are expected to understand system flows, block architectures, APIs and such.
Experience defining and running end-to-end complex technical programs
Strong leadership, organizational, and communication skills

Job Responsibility

Understand and stay up-to-date on latest innovations in AI and Search. Partner closely with engineering teams to translate these into practical platform evolution for Atlassian bringing value to our customers.
Analyze business objectives, customer needs, product adoption inhibitors and opportunities, industry trends, and based on these, in close collaboration with your stakeholders, define a long-term strategy and roadmap for your platform and product components.
Understand business objectives and translate them into technical systems problems that need to be prioritized solved in the current business environment.
Define specific systems programs and create a plan of action for realizing those programs. Such programs could be around capacity planning, migration efforts, high availability, network architecture, performance optimization, reliability improvements and more.
Use your technical understanding of Atlassian and related systems to partner with and influence engineers and architects in making progress on these problems.
Responsible for taking a systematic approach to engineering problems. This includes: prioritizing tasks, scoping out the project, defining objectives, and making consistent progress against each of these.
Be accountable for the success of these technical programs by managing the entire lifecycle from initiation to forecasting, budgeting, scheduling, etc.
Manage complex dependencies and projects with a broad scope across the company

What we offer

health and wellbeing resources
paid volunteer days

Principal Engineer - Marketplace

Principal Engineer role in the Marketplace Engineering team to lead breakthrough...

Location

United States , San Francisco; Sunnyvale

Salary:

302000.00 - 336000.00 USD / Year

Uber

Expiration Date

Until further notice

Requirements

PhD in Computer Science, Machine Learning, Operations Research, or related quantitative field OR Master’s degree with 12+ years of industry experience
10+ years of experience building and deploying ML models in large-scale production environments
Expert-level proficiency in modern ML frameworks (TensorFlow, PyTorch, JAX) and distributed computing platforms (Spark, Ray)
Deep expertise across multiple areas including: Deep Learning, Causal Inference, Reinforcement Learning, Multi-objective Optimization, Algorithmic Game Theory, and Large-scale Ads Ranking/Auction Systems
Proven track record of leading complex ML projects from research through production with significant measurable business impact
Strong programming skills in Python, Java, or Go with experience building production ML systems
Experience with feature engineering, model serving, and ML infrastructure at scale (handling millions of predictions per second)
Technical leadership experience including mentoring senior engineers and driving cross-team technical initiatives
Advanced Deep Learning and Neural Network architectures
Scalable ML architecture and distributed model training

Job Responsibility

Lead the design and implementation of advanced ML systems for dynamic pricing algorithms serving millions of drivers across 70+ countries around the world
Architect real-time ML infrastructure handling 1M+ pricing decisions per second with sub-50ms latency requirements
Drive breakthrough research in causal ML, reinforcement learning, algorithmic game theory, and multi-objective optimization for marketplace optimization with strategic agents
Own end-to-end ML model lifecycle from research through production deployment and continuous optimization
Develop and enforce best practices in system design, ensuring data integrity, security, and optimal performance
Serve as a representative for the Marketplace organization to the broader internal and external technical community
Contribute to the eng brand for Marketplace and serve as a talent magnet to help attract and retain talent for the team
Stay abreast of industry trends and emerging technologies in software engineering, focused particularly on ML/AI, to enhance our systems and processes continually
Build scalable ML architecture and feature management systems supporting Driver Pricing and broader Marketplace teams
Design experimentation frameworks enabling rapid testing of pricing algorithms using A/B, Switchback, Synthetic Control, and other experimental methodologies

What we offer

Eligible to participate in Uber's bonus program
May be offered an equity award & other types of comp
Eligible to participate in a 401(k) plan
Eligible for various benefits (details at provided link)

Fulltime

AI Product Manager

We’re scaling AI and machine learning across our products, devices, and operatio...

Location

United States , Boston

Salary:

121300.00 - 177900.00 USD / Year

SimpliSafe

Expiration Date

Until further notice

Requirements

8+ years of product management experience, including significant ownership of AI/ML or data-intensive products
Clear track record of shipping production ML systems (not just integrating third-party AI APIs), in close partnership with data science, ML engineering, and MLOps
Principal-level impact: leading cross-team initiatives, shaping strategy, and influencing senior stakeholders
Strong understanding of core ML concepts and lifecycle: data, labeling, training/validation, evaluation metrics, deployment, monitoring, and retraining
ML experience with at least one of following: computer vision or sensor data, LLM-powered applications (prompting, RAG, fine-tuning, evaluation) and/or hardware or edge products (e.g., on-device models, connectivity/latency trade-offs)
Familiarity with modern ML infrastructure (cloud platforms, model serving, CI/CD for ML, monitoring/alerting)
Comfortable going deep into data, metrics, and model behavior—not just the UX layer
Excellent communicator who can make complex AI topics clear to diverse audiences
Strong alignment with our values: customer-obsessed, low ego, highly collaborative, comfortable with ambiguity, and biased toward learning and iteration.

Job Responsibility

Define and communicate the multi-year roadmap for key AI/ML capabilities across SimpliSafe
Identify and prioritize AI opportunities where models and data can materially improve safety, customer experience, or efficiency—on both devices and cloud services
Make build-vs-buy decisions for AI capabilities in partnership with data science and engineering
Partner with data scientists, ML engineers, and MLOps to design and deliver end-to-end ML solutions—from problem framing through data, training, evaluation, deployment, and monitoring
Work with hardware and embedded teams to shape edge AI/ML experiences (e.g., on-device detection, low-latency decisions, bandwidth-aware designs)
Define model-level requirements (metrics, latency, cost, guardrails) and connect them to business outcomes (e.g., false alarm reduction, detection accuracy, handle time, CSAT)
Translate product needs into requirements for ML platform capabilities (model serving, observability, experiment tracking, human-in-the-loop tools)
Lead product direction for LLM and multimodal use cases (e.g., text, vision, sensor data)
Decide when to use prompt engineering, RAG, fine-tuning, or traditional ML—and how to evaluate quality, safety, and hallucinations
Design workflows that incorporate human review and escalation where needed

What we offer

A mission- and values-driven culture and a safe, inclusive environment where you can build, grow, and thrive
A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
Free SimpliSafe system and professional monitoring for your home
Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
Participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits.

Fulltime

Principal ML Engineer, ML Platform Engineering

Xometry is seeking a Principal Machine Learning Engineer to join our core machin...

Location

United States , North Bethesda

Salary:

140000.00 - 182000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

At least 7 years of experience in machine learning engineering, software engineering, data science, or similar technical role
A bachelor’s degree is required, but an advanced degree (M.S. or PhD) in computer science, machine learning, AI, or a related field is preferred and may substitute for some years of experience
Demonstrated experience designing and deploying cloud infrastructure (AWS preferred) to support machine learning, and machine learning models, with considerations for scale, reliability and security
Deep understanding of the machine learning lifecycle and related infrastructure needs - feature stores, a/b testing, model registration, drift detection, automated retraining, etc
Strong technical expertise. You will need to either have or demonstrate the ability ability to quickly build technical expertise in the following: Software engineering principles, including parallel and distributed computing, version control, reproducibility, and continuous integration
Machine learning techniques and algorithms, with emphasis on their impact to infrastructure implementation Including large-scale language and vision models (Transformers, GPT, VLMs, LLMs), deep learning (PyTorch, Tensorflow)
Infrastructure as Code (IaC), especially Terraform
REST API design and implementation
Object oriented and functional programming in Python
Multimodal data processing (e.g., combining text, image, and 3D data)

Job Responsibility

Hands-On Technical Leadership: Adopt a 'lead by example' approach by actively coding and troubleshooting, as well as creating documentation and technical diagrams
Teaching & Mentorship: You will serve as a mentor and guide to engineers across the organization, teaching and mentoring them to grow their skills
Code Review: You will do code review and mentor others within the organization regarding best practices in ML Engineering
Operational Excellence: Guarantee the delivery of superior infrastructure and software that not only meets but exceeds customer expectations, while aligning with the strategic business timelines
Collaborative Strategy: Forge strong partnerships with product managers, data scientists, and company leadership to promote a culture of open communication and integrated team dynamics
Guide Innovation: Champion the adoption of cutting-edge technologies, methodologies, and practices to enhance problem-solving efficiency and effectiveness across the AI/ML organization.

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Principal Software Engineer

Microsoft is at the forefront of a new era in productivity, and Microsoft 365 Co...

Location

United States , Redmond

Salary:

163000.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
6+ years experience designing and leading large-scale, distributed backend, data, or ML systems in production environments
Demonstrated ability to set technical direction, influence architecture, and mentor engineers to deliver scalable, maintainable, and scalable-quality systems
Experience driving cross-team engineering initiatives, balancing hands-on contributions with strategic technical leadership
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Job Responsibility

Lead architectural design and discussions for core systems and platforms that improve the agility, performance, reliability, and efficiency of Copilot development
Drive identification of dependencies and development of technical design documents across products, applications, and services to ensure coherence and scalability of Copilot platform solutions
Define and implement quality strategies — mentoring others in test planning, validation, and success criteria to ensure resilient and scalable-quality software and service delivery
Establish and apply engineering metrics to drive quality, stability, and maintainability, while promoting established practices and reusable design patterns
Lead the creation and improvement of internal tools and frameworks that enhance developer velocity, automation, and overall system effectiveness
Collaborate closely with engineers, technical program managers, and partner teams across product, infrastructure, and research to deliver enterprise-grade solutions adopted at scale across E+D and Microsoft
Embody our culture and values.

Fulltime

New

Principal Data Architect

As a Principal Data Architect at a digital transformation agency, you’ll define ...

Location

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

10+ years in data architecture / data engineering, including leading architecture for complex programs
Proven design of cloud data platforms (AWS/Azure/GCP) and modern analytics stacks
Strong command of data modeling, distributed systems concepts, and integration patterns
Experience with governance, metadata/lineage, data quality, and privacy/security controls
Ability to communicate clearly with both engineers and senior business stakeholders
Consulting experience: multi-client delivery, ambiguity management, workshop facilitation, and influencing without authority
Strong written skills: concise architecture documentation and decision-making artifacts

Job Responsibility

Architecture leadership: Define target-state data architecture and roadmaps across cloud and hybrid environments
align to business outcomes and transformation goals
Platform design: Architect modern data platforms (lakehouse/warehouse, streaming, batch, semantic layers) with clear patterns for ingestion, modeling, governance, and consumption
Data modeling: Lead conceptual/logical/physical modeling, domain-oriented design, and analytical modeling (dimensional, Data Vault, wide-table patterns where appropriate)
Integration & interoperability: Design APIs, event-driven/streaming architectures, data sharing patterns, and integration with enterprise apps and SaaS products
Governance & trust: Establish data governance, metadata management, lineage, MDM/reference data approaches, data quality frameworks, and stewardship operating models
Security & compliance: Embed security-by-design (IAM, encryption, secrets, network controls), privacy-by-design, and regulatory requirements (e.g., GDPR) into architectures
Delivery assurance: Provide technical oversight across projects—review designs, ensure best practices, manage architectural risks, and unblock teams
Client advisory: Lead architecture workshops, produce decision papers and architecture artifacts, present to C-level stakeholders, and influence investment decisions
Engineering collaboration: Partner with data engineers, analysts, ML engineers, and product teams to ensure designs are buildable, operable, and meet SLAs

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

New

Principal Data Architect

As a Principal Data Architect at a digital transformation agency, you’ll define ...

Location

Poland

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

10+ years in data architecture / data engineering, including leading architecture for complex programs
Proven design of cloud data platforms (AWS/Azure/GCP) and modern analytics stacks
Strong command of data modeling, distributed systems concepts, and integration patterns
Experience with governance, metadata/lineage, data quality, and privacy/security controls
Ability to communicate clearly with both engineers and senior business stakeholders
Consulting experience: multi-client delivery, ambiguity management, workshop facilitation, and influencing without authority
Strong written skills: concise architecture documentation and decision-making artifacts

Job Responsibility

Architecture leadership: Define target-state data architecture and roadmaps across cloud and hybrid environments
align to business outcomes and transformation goals
Platform design: Architect modern data platforms (lakehouse/warehouse, streaming, batch, semantic layers) with clear patterns for ingestion, modeling, governance, and consumption
Data modeling: Lead conceptual/logical/physical modeling, domain-oriented design, and analytical modeling (dimensional, Data Vault, wide-table patterns where appropriate)
Integration & interoperability: Design APIs, event-driven/streaming architectures, data sharing patterns, and integration with enterprise apps and SaaS products
Governance & trust: Establish data governance, metadata management, lineage, MDM/reference data approaches, data quality frameworks, and stewardship operating models
Security & compliance: Embed security-by-design (IAM, encryption, secrets, network controls), privacy-by-design, and regulatory requirements (e.g., GDPR) into architectures
Delivery assurance: Provide technical oversight across projects—review designs, ensure best practices, manage architectural risks, and unblock teams
Client advisory: Lead architecture workshops, produce decision papers and architecture artifacts, present to C-level stakeholders, and influence investment decisions
Engineering collaboration: Partner with data engineers, analysts, ML engineers, and product teams to ensure designs are buildable, operable, and meet SLAs

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

New

Principal Data Architect

As a Principal Data Architect at a digital transformation agency, you’ll define ...

Location

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

10+ years in data architecture / data engineering, including leading architecture for complex programs
Proven design of cloud data platforms (AWS/Azure/GCP) and modern analytics stacks
Strong command of data modeling, distributed systems concepts, and integration patterns
Experience with governance, metadata/lineage, data quality, and privacy/security controls
Ability to communicate clearly with both engineers and senior business stakeholders
Consulting experience: multi-client delivery, ambiguity management, workshop facilitation, and influencing without authority
Strong written skills: concise architecture documentation and decision-making artifacts

Job Responsibility

Architecture leadership: Define target-state data architecture and roadmaps across cloud and hybrid environments
align to business outcomes and transformation goals
Platform design: Architect modern data platforms (lakehouse/warehouse, streaming, batch, semantic layers) with clear patterns for ingestion, modeling, governance, and consumption
Data modeling: Lead conceptual/logical/physical modeling, domain-oriented design, and analytical modeling (dimensional, Data Vault, wide-table patterns where appropriate)
Integration & interoperability: Design APIs, event-driven/streaming architectures, data sharing patterns, and integration with enterprise apps and SaaS products
Governance & trust: Establish data governance, metadata management, lineage, MDM/reference data approaches, data quality frameworks, and stewardship operating models
Security & compliance: Embed security-by-design (IAM, encryption, secrets, network controls), privacy-by-design, and regulatory requirements (e.g., GDPR) into architectures
Delivery assurance: Provide technical oversight across projects—review designs, ensure best practices, manage architectural risks, and unblock teams
Client advisory: Lead architecture workshops, produce decision papers and architecture artifacts, present to C-level stakeholders, and influence investment decisions
Engineering collaboration: Partner with data engineers, analysts, ML engineers, and product teams to ensure designs are buildable, operable, and meet SLAs

What we offer

Flexibility, with remote and hybrid work options (country-dependent)
Career advancement, with international mobility and professional development programs
Learning and development, with access to cutting-edge tools, training and industry experts

Lead Principal Technical Program Manager - ML Platform

Atlassian

Location:
United States

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
December 27, 2025

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