The Mission

This is a senior role for someone who leads from both directions at once — deeply technical on customer engagements, and fully accountable for the growth and performance of a team of ML engineers and architects. You will report to the Director of AI/ML.

You own hiring, development, and team health alongside leading complex customer engagements, shaping architecture, and driving pre-sales. Both parts of this job are real and ongoing. The right candidate will find energy in that combination, not tension.

Your Assignment

Leading Your Team

• Hire and build: Set the technical bar for ML roles on your team, lead or oversee technical assessments, and make hiring decisions you can stand behind. Build a team that raises the practice's overall standard.
• Develop people: Run regular structured 1:1s, provide candid feedback at meaningful milestones, and actively invest in each person's growth — whether they are early in their career or highly experienced.
• Manage performance: Recognize strong contributors and address performance gaps directly and early. Partner with HRBPs and the Director of AI/ML when situations require a structured path, and advocate for your team when they deserve it.
• Stay close to staffing: Understand how your team is utilized across engagements, keep the staffing team informed of each person's skills evolution and preferences, and ensure people are placed in work that stretches them appropriately.

Strategic Advisory

• Lead ML assessments: Evaluate customer environments end-to-end — infrastructure, data pipelines, model lifecycle, and organizational readiness — and produce recommendations that drive executive decisions and open the door to the next engagement.
• Shape architecture: Serve as the senior technical authority on engagements, setting architectural direction, ensuring technical quality across the team, and making the calls that matter when tradeoffs are hard.
• Advise on ML operations: Help customers build ML systems they can actually own and sustain — translating MLOps, LLMOps, and production monitoring complexity into standards their engineering teams can execute and their leadership can act on.
• Drive pre-sales: Partner with sales and solutions teams during scoping and proposal phases, contributing the technical depth needed to scope work accurately and give prospects confidence in Caylent's ability to deliver.

Hands-On Delivery

• Lead engagements end-to-end: Drive architecture and solution design from kickoff through delivery — setting technical direction, unblocking the team on hard problems, and ensuring the work meets Caylent's quality standards.
• Own the technical relationship: Depending on the engagement, you are either the primary client contact owning all architect-level outcomes, or the senior technical authority providing oversight across the team. The expectation is the same in both cases — you are the person the engagement depends on technically.

Growing the Practice

• • Raise the bar internally: Mentor engineers and architects through real work, contribute to technical interviews, and build reference architectures and accelerators that make the broader ML practice better.

Your Qualifications (non-negotiables)

• 10+ years in machine learning or AI, with a proven track record of leading client-facing engagements in a consulting or advisory capacity.
• Demonstrated people management experience — hiring, performance calibration, career development, and the ability to have difficult conversations directly and constructively.
• Deep, current knowledge of the AWS ML and GenAI ecosystem, with the ability to make and defend architectural decisions across the full ML lifecycle — from data and feature engineering through training, deployment, and monitoring.
• Deep expertise in at least two or three ML domains — whether classical ML, computer vision, NLP, time series, or others — combined with the judgment to assess, architect, and advise across the broader ML landscape.
• Proven ability to architect and govern production ML systems end-to-end, translating MLOps, LLMOps, and broader AI operations complexity into standards that engineering teams can execute and executives can act on.
• Deep expertise across foundation model adaptation — fine-tuning (LoRA, QLoRA, PEFT), alignment (RLHF, DPO), inference optimization, and distributed training — combined with RAG and agentic system design, including multi-agent architectures, MCP integration, and human-in-the-loop patterns on AWS.
• Proven ability to operate independently in complex, ambiguous customer environments — navigating competing priorities, aligning stakeholders, and translating ML tradeoffs into business risk and value for both technical and executive audiences.

Strong differentiators

• AWS Certified Machine Learning – Specialty and/or AWS Certified Solutions Architect – Professional.
• Experience shaping practice-level standards, reference architectures, and reusable ML accelerators across multiple engagements.
• Exposure to varied industries and problem types in a consulting or client-facing context.
• Deep fluency in responsible AI practices — model evaluation, bias detection, fairness frameworks, and AI governance — applied in enterprise deployments.
• Fluency in AIOps patterns — designing agentic workflows for anomaly detection, automated root cause analysis, and remediation across observability platforms — and the ability to translate AI operations outcomes into measurable business value for customers.

Technical Stack

Our practice spans a broad range of ML domains. Candidates are expected to prescribe — not just recognize — with the judgment to maximize what AWS makes possible and the experience to know how open-source tooling strengthens it.

• ML Domains: Classical ML, Computer Vision, NLP, Generative AI & LLMs, AI Agents & Autonomous Systems, Intelligent Document Processing, Video Understanding, Speech & Audio, Time Series & Forecasting, Recommender Systems, Graph ML, Reinforcement Learning, Multimodal AI
• AWS ML Platform: SageMaker, SageMaker Pipelines, SageMaker Feature Store, SageMaker Model Registry, SageMaker Clarify, Bedrock (Agents, Knowledge Bases, Guardrails, AgentCore, Model Evaluation)
• Multi-provider LLM: Bedrock, Anthropic API, OpenAI API, Google Gemini API, Azure OpenAI — with the judgment to reason across provider tradeoffs in enterprise contexts
• AWS AI Services: Rekognition, Comprehend, Transcribe, Textract, Translate, Personalize, Neptune, Kinesis Video Streams, Polly
• Data Platform: Apache Spark / PySpark, Apache Kafka, Amazon Kinesis, Apache Iceberg, Delta Lake, Apache Hudi, AWS Glue
• Vector Databases: Pinecone, pgvector, Amazon OpenSearch (vector), Weaviate
• Frameworks: PyTorch, TensorFlow, JAX, Scikit-learn, XGBoost, HuggingFace (Transformers, PEFT, TRL), LangChain, LlamaIndex, DSPy, Ollama
• MLOps & Governance: MLflow, W&B, Airflow / MWAA (data orchestration), Dagster (asset-based pipelines), Kubeflow Pipelines, CI/CD, IaC (CloudFormation, CDK, Terraform), Docker, Kubernetes, ML Governance (lineage, data contracts, audit), Responsible AI / Bias & Fairness
• LLM Evaluation & Safety: RAGAS, LLM-as-judge patterns, DeepEval, NeMo Guardrails, Constitutional AI patterns, structured output validation
• Inference & Optimization: Triton, vLLM, SGLang, Trainium, Inferentia, Quantization (GPTQ, AWQ, bitsandbytes), SageMaker Neo

Benefits

• Pay in USD
• 100% remote work
• Generous holidays and flexible PTO
• Competitive phantom equity
• Paid for exams and certifications
• Peer bonus awards
• State of the art laptop and tools
• Equipment & Office Stipend
• Individual professional development plan
• Annual stipend for Learning and Development
• Work with an amazing worldwide team and in an incredible corporate culture

Who We Are (Mode Mobile)

Mode Mobile is the creator of EarnOS, a transformational software that turns ordinary smartphones into "EarnPhones". This innovation empowers users globally to monetize everyday mobile activities such as streaming, gaming, shopping, etc. We enable users to profit from their data and attention, rather than letting only tech giants benefit. What sets us apart is our inclusive approach - converting users into earners, facilitating over $150M in earnings and savings, while going a step further and turning earners into owners by awarding stock ownership in Mobile Mobile based on their usage. We have attracted over 40 million users across 170 countries. 

​​Mode Mobile is proud to stand as the #1 Fastest Growing North American Software Company recognized in Deloitte's 2023 Technology Fast 500, and ranked #2 across all sectors.

For additional insights check out the information about our reward-based super app, Mode Earn App, that also powers the reward engine behind our proprietary smartphone, Mode Earn Phone.

Our Team and Culture Drive Our Success

Our team is the heart of our culture.  We value innovation, collaboration, and curiosity, with a passion for getting things done.  We strive to hire and cultivate the best team members and foster a culture of open communication and transparency.  We are driven and hard-working but also committed to having fun along the way.  We allow OKRs to guide us, assume positive intent, sometimes agree to disagree and commit, honor our commitments, seek to accomplish more with less, and encourage everyone to speak up as our team owns our company’s success.

You can read more about our team and how we work here.

The Role

Mode Mobile is seeking a Senior Product Manager to lead product strategy and execution for a recently acquired multimillion dollar utility app. Over time, you’ll expand your ownership to other newly acquired and organically developed mobile applications. This is a senior-level, high-ownership role for a proven product leader who combines business acumen, operational excellence, and user empathy.

You will be responsible for continuing to grow and optimize a mobile app with over 2M DAU with annual revenue exceeding $10M. And as you take on new products, you’ll work to identify high opportunity strategies that can drive growth and profitability, driving meaningful business outcomes.  You will work closely with the Director of Product and General Manager of your business unit, cross-functional teams, and executives to establish the roadmap, lead teams, and set the bar for world-class product management.

Key Responsibilities

• Define and lead a vision for your products that aligns with organizational goals
• Develop strategic product-feature roadmaps and drive execution from concept to scale by analyzing and implementing best-in-market trends and out-of-the-box ideas.
• Collaborate with Engineering, Design, User Acquisition, Monetization, and Data teams to deliver value-driven, measurable results.
• Own business and product performance, including revenue, engagement, conversion, retention, and P&L outcomes, and financial forecasts.
• Conduct ongoing experimentation, user and competitor research to support strategic decision making that drives monetization and user growth
• Provide visibility into business performance and communicate results clearly to executive stakeholders and the broader organization
• Serve as a role model and standard-setter for product excellence for your cross-function team

Who You Are

• A strategic, business-minded product leader with deep understanding of P&L ownership and revenue drivers.
• A self-starter who thrives in ambiguity and operates with high accountability in driving efficient product pipelines.
• Experienced leading product dev teams to drive engagement and impact on the product and business.
• Expert at balancing user value with business impact, ensuring that both scale together.
• Skilled at using data, A/B experimentation, and intuition to make the best possible decisions.
• A natural collaborator who communicates effectively across all levels of the organization.
• Alignment with our core values:
  
  • ​​Accountable: You take ownership of your responsibilities, demonstrating trustworthiness and self-discipline. You are consistent in your work, transparent in your actions, and communicate effectively. You follow through on commitments and strive for continuous improvement.
  • Action-driven: Identify what is most important, agree on scope, execute in a timely manner, and drive the greatest impact.  You take initiative, roll up your sleeves, and get things done.
  • Caring: You genuinely care about yourself and others, our business and craft, our mission and vision, and are passionate in heart and mind. You understand the importance of our team and strive to create a positive, supportive work environment.
  • Curious: You focus on the ‘why,’ learn and expand your knowledge, explore new ideas, and generally make things better.  You're a lifelong learner with a thirst for knowledge and a constant desire to improve.
  • Thorough: Your work is thoughtful, impactful, timely, accurate, and complete.  You pay attention to detail, are meticulous, and ensure quality work and compliance.

Qualifications

• 7+ years of professional product management experience, including 3+ years of independently owning a product / business line.
• Proven experience managing products with P&L accountability and delivering measurable business outcomes.
• Experience in mobile app ecosystems, with strong understanding of  subscription, IAP, and IAA monetization strategies. Experience with utility apps, rewarded ecosystems, social and gaming apps is a plus.
• Demonstrated success within multi-app portfolios.
• Strong analytical skills; proficiency in data tools such as Mixpanel, Google Sheets, and business performance dashboards.
• Excellent written and verbal communication, capable of influencing at the executive level.

Why This Role Matters

If you want a role that is high-impact, this is the one for you. You’ll be the ringleader for one of Mode’s most successful mobile apps that drives major impact for millions of users all across the globe and generates ~$10M/yr for the business. Your success here can help create blueprints for our aggressive expansion through in-house products and M&A, and lead to opportunities across our portfolio.

Bring ambition. Bring curiosity. Bring energy. We’ll iterate from there!

We Believe In The Following Workplace Norms

• Allow OKRs to Guide Us
• Assume Positive Intent
• Agree to Disagree & Commit
• Set New Precedents
• Accomplish More with Less
• Hold Yourself & Others to High Standards
• Speak Up
• Be Resourceful
• Follow the 80/20 Rule

What We Are Offering

• We are a 100% remote-first, global company.
• A competitive compensation package.
• We offer generous perks & benefits to team members. 
• Participation in the Company's equity and token plan (for full-time team members).
• We provide individual bonuses in accordance with our Company Bonus Program.
• Work with energetic, passionate, and results-driven people.
• Celebrate team members' personal & work milestones.
• Remote social activities, including virtual coffee buddies. 
• Bonus.ly - we use Bonusly as a way to recognize and reward team members for their hard work and commitment.
• Weekly Wednesday Get Stuff Done Days (No Meetings).
• Open PTO and generous Company Holidays (for full-time team members).
• 10 annual Wellness Fridays.

If we just described you and your perfect role, we'd love to talk with you.  We have a lot to accomplish this year and look forward to making headway and creating success together!

Mode Mobile does not accept/pay fees for unsolicited resumes from third-party agencies/vendors.

Our company is an Equal Employment Opportunity (EEO) employer. We are committed to providing a work environment free of discrimination and harassment. All employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. We celebrate diversity and strive to create an inclusive environment for all team members.