远程工作雷达

数据平台与人工智能主管

Head of Data Platform & AI

AI开发工程限定地区(需当地身份)
公司Octave
薪资$239,300 - $280,000/年
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

关于公司:
Octave 是一家现代行为健康机构,正在为护理交付树立新的标准,使护理既高质量又可及。公司在多个州设有线下和线上诊所,提供基于证据的个人、夫妻和家庭治疗,同时与支付方建立创新关系,通过保险使护理更负担得起。通过提高护理交付方式和对提供者的支持标准,我们正在构建一个可持续的系统,重视公平性、可负担性和有效性。

职位概述:
Octave 正在寻找一位数据平台与人工智能负责人,负责我们数据平台以及新兴的人工智能、机器学习和数据科学能力的技术愿景和执行。该职位将负责并发展 Octave 的数据和 AI/ML 技术基础,与产品团队和跨职能业务领导紧密合作,设定 AI/ML 的技术与战略方向,并建立执行该愿景所需的团队,以支持 Octave 的增长。

这是一项需要实干家的领导职位。虽然您将制定战略、带领团队,并作为高级跨职能合作伙伴运作,但您仍需贴近技术,直接参与架构设计、原型开发、技术评估和复杂工程问题的解决。您将最初领导数据平台团队,并与产品、工程、分析和 Octave 各部门的业务领导者密切合作。

管理职责:

  • 制定、协调并实施系统、政策、流程和生产力标准。
  • 为团队提供领导和指导,确保目标和成果的实现。
  • 培养积极协作的工作环境。
  • 监督团队内项目的规划、执行和完成。
  • 建立并监控运营流程和工作流,以提高效率和生产力。
  • 优化运营流程,提高效率,改善整体组织绩效。
  • 实施最佳实践,监控关键绩效指标(KPI),并制定策略以实现运营卓越。
  • 确保安全、可靠且合规的工作环境。
  • 通过沟通岗位期望;计划、监控和评估岗位成果来实现团队成果。
  • 建设和管理一支高绩效团队,包括招聘、培训和发展。
  • 为团队提供领导力,包括设定目标、提供指导和
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About the Company:
Octave is a modern behavioral health practice creating a new standard for care delivery that’s both high-quality and accessible. With in-person and virtual clinics in multiple states, the company offers evidence-based individual, couples, and family therapy, while pioneering relationships with payers to make care more affordable through insurance. By raising the bar on how care is delivered and how providers are supported, we are building a sustainable system that values equity, affordability, and effectiveness.
Job Summary:
Octave is looking for a Head of Data Platform & AI to lead the technical vision and execution across our data platform and emerging AI, machine learning, and Data Science capabilities. This role will own and evolve Octave’s data and AI/ML technical foundation, set the technical/strategic direction for AI/ML in close partnership with Product and cross-functional business leaders, and build the team required to execute that vision as Octave grows.
This is a leadership role for a builder. While you will set strategy, lead the team, and operate as a senior cross-functional partner, you will remain close to the technology and be expected to contribute directly to architecture, prototypes, technical evaluation, and difficult engineering problems. You will initially lead a Data Platform team and work closely with Product, Engineering, Analytics, and business leaders across Octave.
Management Responsibilities:

  • Develops, coordinates, and implements systems, policies, procedures, and productivity standards.
  • Provide leadership and guidance to the team, ensuring the achievement of goals and objectives.
  • Foster a positive and collaborative work environment.
  • Oversee the planning, execution, and completion of projects and initiatives within the team.
  • Establish and monitor operational processes and workflows to enhance efficiency and productivity.
  • Streamline operational processes, enhance efficiency, and improve overall organizational performance.
  • Implement best practices, monitor key performance indicators (KPIs), and develop strategies to achieve operational excellence.
  • Ensures a safe, secure, and compliant work environment.
  • Accomplishes staff results by communicating job expectations; planning, monitoring, and appraising job results.
  • Build and manage a high-performing team, including hiring, training, and development.
  • Provide leadership to the team, including setting goals, providing guidance, and ensuring the team's overall success.
  • Set performance expectations and goals for team members. Conduct regular performance evaluations, provide feedback, and address performance issues.
  • Identify skill gaps within the team and develop strategies for filling those gaps. Support employee development through training, mentoring, and coaching. Identify high-potential employees and create succession plans.

Duties & Responsibilities:

  • Define Octave’s Data & AI Technical Vision
  • Develop and own the technical strategy and roadmap for Octave’s data platform and AI/ML capabilities, while shaping company-level direction and investment priorities by bringing a data and AI perspective to decisions about where Octave competes and how it grows.
  • Own company-level KPIs spanning Octave's AI/ML and Data Platform areas — defining the measures that matter, holding accountability for outcomes against them, and reporting on progress to the executive team.
  • Partner closely with Product and cross-functional leaders to identify where AI, machine learning, and Data Science can create meaningful customer and business value, and own the technical strategy and capabilities required to bring those opportunities to life.
  • Serve as Octave’s senior technical leader and thought partner on data, AI, ML, and Data Science.
  • Help Product, Engineering, and business leaders evaluate opportunities, understand technical feasibility and tradeoffs, and shape Octave’s approach to emerging capabilities.
  • Develop a clear point of view on where traditional machine learning, predictive modeling, generative AI, LLM-based systems, and other approaches are appropriate.
  • Establish principles for when Octave should build capabilities internally, leverage third-party platforms or models, or partner externally.
  • Balance near-term delivery with the foundational investments required to support Octave’s longer-term strategy.
  • Lead AI/ML and Data Science Technical Strategy
  • Establish the technical capabilities required to develop, evaluate, deploy, monitor, and continuously improve production AI and machine-learning systems.
  • Work with Product and business leaders to translate promising AI/ML opportunities into well-defined technical initiatives.
  • Ensure AI/ML initiatives are grounded in clear customer or business outcomes rather than pursued as standalone technology projects.
  • Guide technical experimentation and prototyping to validate opportunities before making significant investments.
  • Establish rigorous approaches to model and system evaluation, experimentation, observability, feedback loops, governance, privacy, security, and responsible AI.
  • Determine the Data Science, ML Engineering, and Applied AI capabilities Octave needs over time and develop an appropriate organizational model to support them.
  • Own and Evolve the Data Platform
  • Own the architecture and evolution of Octave’s centralized data platform and the systems that collect, transform, store, govern, and serve data across the company.
  • Ensure the platform is reliable, scalable, observable, secure, and straightforward for downstream consumers to use.
  • Establish strong engineering practices around data quality, testing, lineage, documentation, monitoring, and reliability.
  • Build scalable interfaces and data products that enable analysts, Product, Engineering, and other teams to work effectively with trusted data.
  • Make pragmatic architectural and technology decisions that balance scalability and technical quality with the speed required in a fast-growing company.
  • Avoid unnecessary complexity and ensure platform investments are justified by real customer, product, or business needs.
  • Enable a Decentralized Analytics Organization
  • Treat analysts embedded within Octave’s product and business organizations as key customers and partners of the Data Platform.
  • Partner with analysts and their leaders to understand common needs, remove technical bottlenecks, and improve access to reliable and well-modeled data.
  • Establish shared technical standards, platform capabilities, and ownership models that allow decentralized analytics teams to move quickly without creating unnecessary fragmentation.
  • Create clear ownership boundaries between the centralized Data Platform organization and embedded analytics teams.
  • Build foundational data capabilities that allow analysts to spend more time generating insights and less time solving recurring infrastructure or data-quality problems.
  • Build the Capabilities and Team Octave Needs
  • Lead, mentor, and develop the existing Data Platform team while remaining close to the technical work.
  • Continuously assess the technical capabilities required to execute Octave’s evolving data and AI strategy.
  • Develop existing team members where appropriate and recruit exceptional external talent when specialized skills or experience are missing internally.
  • Proactively identify capability gaps rather than scaling the organization through headcount alone.
  • Build additional specialized capabilities—including Data Science, ML Engineering, Applied AI, or other disciplines—as product and business needs warrant.
  • Determine when capabilities should live centrally, be embedded within Product or Engineering teams, or operate through another organizational model.
  • Develop strong technical leaders and individual contributors and create an environment characterized by high standards, ownership, curiosity, collaboration, and pragmatic execution.
  • Build an organization that can scale without introducing unnecessary layers or process.
  • Remain a Hands-On Technical Leader
  • Stay sufficiently close to the technology to provide credible technical leadership and make high-quality architecture and engineering decisions.
  • Dive into system design, architecture, data modeling, prototypes, code, technical evaluations, or production issues when your involvement can materially accelerate the team.
  • Personally engage with emerging AI/ML technologies enough to develop an informed point of view on their capabilities, limitations, and relevance to Octave.
  • Serve as a technical thought partner to Data Platform engineers, Product engineers, analysts, and senior company leadership.
  • Set a high technical bar while empowering the team to own execution.
  • Use technical depth to simplify problems and help the company avoid both underinvestment and unnecessary overengineering.

Required Skills:

  • Strong technical foundation and prior experience as a highly capable individual contributor before moving into leadership.
  • Strong understanding of traditional machine-learning and Data Science approaches and newer AI capabilities, including LLM-based systems and generative AI.
  • Strong judgment around build-versus-buy decisions and the ability to assess rapidly evolving technologies pragmatically.
  • Excellent communication skills and the ability to move fluidly between detailed technical discussions and conversations with senior business and product leaders.
  • Comfortable operating in a small, fast-moving organization where senior leaders remain close to execution.

Education & Experience:

  • 8+ years of experience building and leading data platform, data engineering, Data Science, ML, or AI capabilities in high-growth technology environments.
  • Demonstrated experience architecting and building modern data platforms and production data systems.
  • Meaningful experience applying machine learning and/or AI to real-world product or business problems and taking solutions from experimentation into production.
  • Experience partnering closely with Product teams to identify and deliver technically sophisticated product capabilities.
  • Demonstrated ability to diagnose organizational capability gaps, build new technical capabilities, and recruit senior, specialized technical talent to fill them.

Octave's Company Values:
The below values drive our day-to-day operations.

  • We’re human beings first. We operate with empathy and kindness – with our clients, with our collaborators, and with ourselves.
  • People deserve better than status quo. We’re willing to tackle the intractable problems, no matter how big, because someone should. We ask big questions, we craft big solutions, and we challenge ourselves and others to make it happen.
  • No bystanders. No stars. No tourists. Each person has been selected to be here, and with that comes a responsibility to bring your expertise, share your ideas, and help make this company better.
  • Partnership paves the path ahead. We don’t operate in a silo, internally or externally. To transform the system, we believe in working with others to create something bigger, better, and stronger.
  • Quality is crucial at scale. Quality is core to our business, and we refuse to sacrifice it as we grow.
  • Progress is a process. In the pursuit of progress, we iterate, reflect, learn, adjust – and always leave things better than we found them.
  • There are people behind every data point. We recognize that numbers tell only one part of the story, and we also do the work to understand impacts at the individual level.

Physical Requirements:

  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to frequently communicate with others through virtual meeting applications such as Zoom and Google Meet.
  • Must be able to observe and communicate information on company provided laptop.
  • Move up to 10 pounds on occasion.
  • Must be eligible to work in the United States without sponsorship now or in the future.

Compensation, Equity & Incentives:
Base Salary Range Octave is committed to pay equity and transparency. Our salary ranges are determined by role, level, and location/ zone. Final pay within the posted range will be decided based on a combination of job-related factors, including education, training, experience, and market demands.

  • Geo 1 (All other states & D.C.): $239,300 – $272,100
  • Geo 2 (CO, HI, MD, RI): $263,200 – $280,000
  • Geo 3 (AK, CA, CT, MA, NJ, NY, WA): $275,200 – $280,000

Variable Compensation & Equity

  • Performance Bonus: This role is not currently eligible for bonus incentives.
  • Equity Awards: This role is eligible to participate in Octave’s equity program via Stock Options, subject to the terms of the applicable Equity Incentive Plan.
  • Remote Work Stipend: New full-time employees receive a $300 equipment reimbursement to support a home office setup.
  • Internet & Phone Reimbursement: Full-time employees are eligible for a monthly reimbursement of up to $75 for internet and cell phone related expenses.

Octave is committed to pay equity and transparency. Octave will not discharge or in any other manner coerce, intimidate, threaten, discriminate or retaliate against employees or applicants because they have: (i) inquired about, discussed, compared, or disclosed their own wages, benefits, or other compensation, or the wages, benefits, or other compensation of another employee or applicant; (ii) asked Octave to provide a reason for the employee's wages or lack of opportunity for advancement; or (iii) aided or encouraged others in exercising their rights to discuss wages, compensation, or benefits, or to seek pay equity.
However, except as otherwise provided by law, employees who have access to the compensation information of other employees or applicants as part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) in compliance with the company's legal duty to furnish information under applicable law .
Comprehensive Benefits:
At Octave, we believe in supporting the "human being first". Here’s a snapshot of the benefits available to eligible employees:

  • Health & Wellness: Choose what works best for you with one High Deductible Health Plan (HDHP) and two PPO medical plan options, plus comprehensive Dental and Vision coverage.
  • Medical Support: Enjoy access to a company-sponsored membership with One Medical for convenient, modern care.
  • Retirement: Plan for your future with a 401(k) that offers both traditional and Roth options.
  • Paid Time Off: Time to recharge matters. Take advantage of a generous time off policy, up to 15 paid company holidays, and accrued sick time.
  • Financial Protection: We’ve got you covered with company-paid Life, AD&D, and Disability insurance, plus optional extras like Pet, Legal, and Worksite plans (Critical Illness, Hospital Indemnity, and Accident).
  • Parental Leave (Bonding Time): Growing your family? Full-time employees can take paid bonding leave after 6 months, whether it’s a new baby, adoption, or foster placement. Time off increases with tenure.
  • Growth: Keep learning and leveling up with professional development reimbursement for role-related growth opportunities.

How We Use Technology in Hiring:
As part of our hiring process, we may use technology tools, including AI-supported systems, to assist with reviewing applications or documenting interviews. These tools are designed to support our team, not replace human judgment, and final hiring decisions are always made by our team.
This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.

Application Instructions:

Please complete the following application. Please note that the U.S. Equal Opportunity Employment Information questions below are used for the purposes of EEOC reporting and are optional to complete. Octave is unable to change these questions and we acknowledge that many of the U.S. Equal Opportunity Employment Information questions are not inclusive or affirming of all aspects of cultural identity. Octave is committed to an inclusive workplace environment, and this information will not inform how we approach hiring or employment.

Originally posted on Himalayas

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业务运营总监

OctaveUnited States$173,800 - $218,700/年Full Time今天
职能支持限定地区(需当地身份)

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