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Ote Definition Jobs (NOW HIRING)

Braze

Forward-Deployed Data Scientist II

Chicago, IL · Hybrid

$98K - $164K/yr

... definition, data integration, pipeline setup, and ML model configuration * Extend product ... OTE) between $109,000-$183,000/year (including bonus or commission). Your exact offer may vary ...

Braze

Forward-Deployed Data Scientist II

Austin, TX · Hybrid

$98K - $164K/yr

... definition, data integration, pipeline setup, and ML model configuration * Extend product ... OTE) between $109,000-$183,000/year (including bonus or commission). Your exact offer may vary ...

Klaviyo

Senior Product Designer - Growth

Boston, MA

$134K - $201K/yr

Works closely with product and engineering from problem definition through launch, and contributes ... Your recruiter can provide more details about the specific salary/OTE range for your preferred ...

Braze

Forward-Deployed Data Scientist II

New York, NY · Hybrid

$98K - $164K/yr

... definition, data integration, pipeline setup, and ML model configuration * Extend product ... OTE) between $109,000-$183,000/year (including bonus or commission). Your exact offer may vary ...

NetApp

Sr. Product Manager- Cloud Volumes ONTAP

San Jose, CA

$148K - $195K/yr

Lead the definition and integration of AI-driven and automation capabilities that improve usability ... The range is based on 'On Target Earnings' (OTE) representing the total potential earnings, which ...

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How much do ote definition jobs pay per year?

As of Jul 6, 2026, the average yearly pay for ote definition in the United States is $44,162.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,500.00 and $48,500.00 per year, depending on experience, location, and employer.

What does $200,000 OTE mean?

In a job context, $200,000 OTE (On-Target Earnings) refers to the total expected earnings an employee can achieve if they meet all performance targets, combining base salary and commissions or bonuses. It is commonly used in sales roles and indicates the potential annual income for a successful employee.

What does $100,000 OTE mean?

In a job context, $100,000 OTE (On-Target Earnings) refers to the total expected earnings if all sales or performance targets are met, combining base salary and commissions or bonuses. It is commonly used in sales roles to indicate potential earnings and helps candidates understand the compensation structure.

What is a good OTE salary?

A good OTE (On-Target Earnings) salary varies by industry and role but typically includes a base salary plus commissions or bonuses, with total compensation often ranging from 80% to 120% of the target amount. For sales roles, a competitive OTE depends on experience, location, and company size, and it is important to consider the earning potential and achievable targets when evaluating offers.

What does 40% OTE mean?

In the context of a job, 40% OTE (On-Target Earnings) indicates that the employee can expect to earn 40% of their total compensation through commissions or performance-based pay, in addition to their base salary. This is common in sales roles where a significant portion of income depends on achieving targets or quotas.
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Forward-Deployed Data Scientist II

Forward-Deployed Data Scientist II

Braze

Chicago, IL • Hybrid

$98K - $164K/yr

Other

Posted 7 days ago

Job description

WHAT YOU'LL DO

As our customer base continues to grow with the excitement around BrazeAI, we're expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

  • Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
  • Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
  • Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
  • Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise
  • Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

WHO YOU ARE

  • Education: Bachelor's degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master's or PhD in a relevant technical discipline preferred
  • Experience: 3-5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
  • Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
  • Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
  • Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms
  • Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
  • Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
  • Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
  • Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $98,000-$164,000/year, with an expected On Target Earnings (OTE) between $109,000-$183,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

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