iCapital is powering the world’s alternative investment marketplace. Our financial technology platform has transformed how advisors, wealth management firms, asset managers, and banks evaluate and recommend bespoke public and private market strategies for their high-net-worth clients. iCapital services, approximately $945 billion in global client assets invested in 1,940 funds, as of June 2025.

iCapital has been named to the Forbes Fintech 50 for seven consecutive years (2018-2024); a three-time selection by Forbes to its list of Best Startup Employers (2021-2023); and a four-time winner of MMI/Barron’s Solutions Provider award (See link below). 

About the Role

iCapital is looking to hire an Artificial Intelligence Operations Lead at iCapital. This individual will be responsible for establishing governance and scaling AI capabilities across the organization. Reporting to the Head of AI, this role ensures AI systems are deployed responsibly, monitored effectively, and deliver measurable business value.

The role focuses on operationalizing and integrating AI solutions into business workflows, partnering with engineering, product, compliance, and finance to identify use cases, deploy solutions, manage AI vendors, and track performance, costs, and ROI. The ideal candidate will help implement responsible AI practices, operational controls, and monitoring frameworks, ensuring AI systems remain compliant, reliable, and aligned with business objectives while driving enterprise adoption of AI tools and automation.

Responsibilities

• Oversee the deployment, monitoring, and lifecycle management of AI/ML systems in production, ensuring reliability, security, and scalability across sales, internal and external workflow, and operational platforms.
• Strong expertise in end-to-end AI program and project planning, including defining timelines, managing dependencies, mitigating risks, model approval framework and ensuring operational readiness for production deployment
• Design and optimize AI-powered workflows across the firm, enabling Agentic in areas such as fund onboarding, document processing, diligence workflows, client servicing, and internal knowledge management.
• Partner with the Sales, Distribution, Product, and Operations teams to identify high-value AI use cases across the private markets’ lifecycle.
• Define and operationalize governance frameworks for responsible AI use, ensuring alignment with business priority, regulatory expectations, model risk management, data privacy, monitoring and compliance requirements relevant to financial services.
• Establish monitoring and analytics for AI systems, tracking performance, usage, costs, and measurable business impact (i.e. efficiency gains, risk reduction, and revenue enablement).
• Act as the operational bridge between AI Engineering teams and business stakeholders, translating technical capabilities into scalable solutions that support investment professionals, advisors, and platform operations.
• Manage relationships with AI technology vendors and model providers (i.e. OpenAI, Anthropic, and Google), including evaluation, integration, roadmap alignment, field invention.
• Strong expertise in end-to-end AI program and project planning, including defining timelines, managing dependencies, mitigating risks, and ensuring operational readiness for production deployment.

Qualifications

• 10+ years AI Operational experience
• 7+ years of experience in data science, machine learning or AI-related roles, with 4+ years leading cross-functional initiatives at scale
• Experience operationalizing AI/ML or advanced analytics solutions in production, ideally within financial services, fintech, or data-driven platforms
• Strong understanding of LLMs, data science, AI/ML, and modern AI architectures, including model evaluation, context engineering, and agentic workflow automation
• Experience designing and implementing agentic AI workflows, including multi-step AI agents that automate complex processes and integrate with enterprise systems, data, and APIs
• Demonstrated ability to build and scale operational frameworks, including monitoring, vendor management, cost governance, and ROI measurement for AI initiatives
• Experience working with regulated environments, with knowledge in model governance, data privacy, and compliance considerations relevant to financial services
• Proven ability to partner across Engineering, Product, Legal and Compliance, and Business teams to drive adoption of new technologies
• Strong program management and execution skills, with experience leading complex, multi-stakeholder initiatives
• Vendor and ecosystem management experience, including evaluating and managing AI technology providers
• Excellent communication and stakeholder management skills, with the ability to translate complex AI capabilities into clear business value for senior leadership
• Proven track record of deploying clients or advisor-facing AI solutions, such as AI bots, recommendation engines, or digital assistants for financial advisors and wealth platforms
• Familiar with private markets data ecosystems, including structured and unstructured data from fund documents, subscription materials, and performance reporting
• Knowledge of private markets or alternatives investment workflows (i.e. fund onboarding, diligence, reporting, document-heavy processes) is strongly preferred
• Experience driving AI adoption in large organizations, including training, change management, KPI tracking and operating model design
• Experience leading AI innovation teams or functions, driving experimentation and rapid prototyping from concept to enterprise-wide adoption

Benefits

The base salary range for this role is $180,000 to $250,000 depending on experience and level.  iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO).

We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday.

For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us  Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/

iCapital is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

The Okta Sales Team 

Okta has a vision to free anyone to safely use any technology by providing a secure, highly available, enterprise-grade platform that secures billions of Workforce log-ins every year. As an Okta AE, you will drive territory growth through both net new logos and cultivating relationships to develop and grow existing Okta Platform customers. With the support of your Okta ecosystem, your focus will be on consistent results and an unwavering commitment to our customers.

Strategic Sales Team 

We have a team of highly experienced sellers who are targeting Okta’s largest customers.  This segment represents one of the biggest opportunities for growth at Okta.  Each Strategic Account Executive is responsible for maintaining high activity standards; daily prospecting, pipeline growth, prospect qualification, and delivering assigned monthly sales revenue targets. 

The Strategic Area Vice President Opportunity

The Area Vice President of Strategic Sales will define market tactics to meet annual business goals. They will establish and lead a cross-functional team of experienced sales leaders and account executives in growing a productive and sustainable sales pipeline across the complex Eastern territory. This person will help transform and integrate all GTM functions, evolving an already world-class field operation, while achieving significant revenue growth annually. In addition to requisite passion, skills, and experience, the successful candidate will have a measurable track record in building and managing large, high-performing sales organizations. This individual will play a key role in driving a significant share of revenue for Okta. 

What you’ll be doing 

• Attract, recruit, hire, and mentor the Strategic sales leadership team. Manage a team of Strategic front-line leaders and partner closely with other cross-functional teams (SEs, PS, Channel/Alliances team, Legal, Deal Desk etc.).
• Build a results driven culture through leading by example, setting expectations, providing coaching and mentorship and holding teams accountable
• Consistently deliver and overachieve against targets, holding your leadership team accountable for operationally sound delivery and results
• Accurately forecast monthly, quarterly, and annual targets for assigned regions and hold each team member accountable for doing the same
• Establish and manage data and supporting metrics (pipeline coverage, forecasting, ASP, etc.)
• Effectively develop, design, build, and execute all aspects of the (Segment) business plan to predictably and consistently generate quarterly results while holding a long-term perspective of overall results 
• Put into place sales structure, processes, and strategic resource plans that will capture key opportunities in target markets, accounts & prospects, partners or industry verticals throughout the Region 
• Own the pipeline generation strategy and with internal stakeholders to execute against the strategy 
• Maintain market intelligence and develop strategies to maintain Okta’s leadership position
• Exhibit a growth mindset with the ability to outline the long term vision and strategy 
• Travel as necessary to build and cultivate customer and prospect relationships

What you’ll bring to the role:

• 10+ years’ experience building and running sales teams in a SaaS environment
• Deep understanding of and technical aptitude towards SaaS / Cloud Go-To-Market selling motion

3+ years’ experience as a second line sales leaderPreviously led a $20M+ (minimum) ARR sales organization with 40%+ growth

• Strong technical aptitude with proven success selling into C-suite and building partnership and buy-in with multiple stakeholders
• Relevant software industry experience in any of the following: IT systems, cloud enterprise or infrastructure management, application development and management, security, business applications and/or analytics
• Ability to navigate the internal selling ecosystem in order to nurture, close, grow and retain customers
• History of consistently meeting/exceeding targets and objectives personally and as a leader
• Proven ability to hire and retain a high performing sales team with humility and confidence
• Excellent leadership and influencing skills with the ability to build strong business partnerships at all levels
• Expertise using a Sales Framework such as MEDDICC, Challenger or Sandler (we use MEDDPICC)

#LI- Remote

P12046_3404085

Description

Graham Capital Management, L.P. is seeking an AI/ML Quantitative Research Manager to join our Quantitative Strategies team and lead collaborative AI/ML team research efforts. This individual will report into and work closely with our Chief Investment Officer of Quantitative Strategies to assess existing AI/ML capabilities, define a research agenda to improve AI/ML capabilities in current systematic trading systems, and create new AI/ML trading signals to complement and diversify the firm’s main strategies. The individual will maximize performance and competitiveness by utilizing advanced methods in quantitative analysis, risk management and portfolio optimization.

Responsibilities

• Work directly with the CIO-Quantitative Strategies to shape the long‑term AI/ML research roadmap
• Design, prototype, and develop production‑grade AI/ML models that ingest large‑scale alternative data sets to generate tradable signals to make existing trading signals more efficient, profitable and robust
• Work collaboratively in a research team environment, using common development tools to facilitate robust implementation of AI/ML research, production versions of trading systems, and ensure models are robust, scalable, and compliant
• Interact with other departments – data science, technology, operations, trading, marketing, and accounting - to ensure current and proposed ideas are implemented, monitored and executed efficiently and accurately
• Enhance the scalability and flexibility of portfolios to accommodate bespoke investment needs of clients
• Identify and integrate novel big‑data sources into the firm’s data pipeline
• Produce white‑papers, internal presentations, and external publications on AI/ML advances; deliver presentations at industry conferences
• Regularly present findings and ideas to management and investment committee
• Complete other projects as requested by senior management

Requirements

• PhD or MS in a quantitative field (e.g., Computer Science, Machine Learning, Statistics, or a related AI/ML discipline)
• 7+ years of hands‑on AI/ML research and production deployment in a quantitative or data‑science environment
• Strong understanding of systematic trading concepts; financial experience is strongly desired but secondary to AI technical expertise
• Demonstrated fundamental research experience in AI/ML (e.g., publications, conference presentations)
• Advanced programming experience in languages suited for quantitative research and strategy implementation
• Ability to synthesize complex topics into easily digestible verbal and written commentary
• Exposure to securities and derivatives markets and investment processes with knowledge in mid-to-low frequency systematic strategies (preferred)
• Experience managing a team of quantitative researchers is a plus

This role requires commuting into our Rowayton, CT, New York, NY, or London, UK office Mondays through Fridays. Please note that our central Quantitative Research team sits out of Rowayton, CT.

Base Salary Range

The anticipated base salary range for this position is $250,000 to $300,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future.

In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs.

Notes:

No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law.

Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.

Position Summary:

Grayscale Investments is seeking a Head of Technical Product to define and lead product across core business systems and platforms. You will operate as a player-coach, leading a team of Product Managers while staying deeply involved in defining, building, and scaling the solutions that drive the business forward. This role reports to the Chief Technology Officer and is responsible for shaping product direction and execution as we scale.  You will play a key role in shaping system architecture and solution design, working closely with Engineering to define how our platforms are built and scaled.

Technology Environment:
Our platform is modern and evolving, built on AWS with infrastructure managed through Terraform and containerized services across Docker and serverless environments. We utilize GitLab for CI/CD to support reliable and scalable delivery across systems.  The environment includes a mix of APIs, data pipelines, and internal systems that support both client-facing and operational workflows.

AI is an emerging focus area across Grayscale, with significant opportunity to define how it is applied across internal workflows, data systems, and product capabilities.

 Responsibilities:

• Define and own product vision and strategy, translating company goals into clear roadmaps and measurable outcomes.
• Build, lead, and develop a high-performing team of Product Managers, establishing a strong product culture and maintaining a hands-on, player-coach approach.
• Set and own product priorities, aligning teams around shared goals, timelines, and measurable outcomes, and ensuring the product backlog reflects priorities.
• Serve as a commercial partner to the business, using customer insights and data to shape product decisions and priorities.
• Drive end-to-end solution architecture alignment across products, ensuring cohesive system design, scalability, and interoperability.
• Evaluate and make trade-off decisions across build vs. buy, technical debt, performance, and scalability to support long-term platform strategy.
• Lead technical discovery and solution design for complex, cross-functional initiatives, translating ambiguous business problems into well-architected systems
• Partner with Engineering to define system boundaries and integration patterns (APIs, event-driven architecture, data pipelines).
• Bring an informed perspective on industry trends and emerging technologies, shaping how they are applied across our products with a focus on responsible use of AI.

Qualifications:

• 10+ years of experience building and owning products, platforms, or systems, ideally within fintech, SaaS, or data-driven environments.
• Experience leading and developing product teams, with a track record of building high-performing organizations.
• Demonstrated ability to define product direction in ambiguous environments and translate business objectives into scalable product and system solutions.
• Strong technical fluency, with the ability to engage in architecture discussions across APIs, data models, integrations, and distributed systems.
• Experience building or scaling products involving data platforms, workflows, or AI/ML capabilities.
• Track record of making tradeoff decisions across competing priorities, balancing speed, quality, and long-term platform considerations.
• Strong communication and influence across technical and business stakeholders.
• Experience operating in a scaling environment, either within a growing company or through transformation within a larger organization.
• Familiarity with financial services or other regulated industries is a plus.
• Experience working in engineering-adjacent roles or closely with technical architecture teams.
• Scrum Certification (Preferred).

Location(s): NY, NJ, MA, CT, PA

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in various cities around the Northeastern US.

REQ ID - FEQ426R603

Mission

We are looking for experienced pre-sales professionals who have a successful track record helping large enterprises become more data-driven. Working with the Enterprise Account Executive (AE), the Enterprise SA defines and directs the technical strategy for our largest and important accounts, leading to more widespread use of our products and wider and deeper adoption of ML & AI. You will lean upon your solid background in value selling, technical account management and technical leadership to maximize success in these accounts. While you work with a team that includes hands-on resources who will build proofs of concept and demonstrate Databricks' products, you need to be technical and must understand the relevance and application of ML & AI within a range of use cases important to the target accounts in the High Tech and Manufacturing space.

Outcomes

• You work with multiple clients as the main technical voice for Databricks.
• You lead your customers on a transformational journey, helping them to evaluate and adopt Databricks as part of their strategy
• You implement the technical strategy in the account, in close understanding of the strategy.
• You build a movement of technical champions within the account.
• You align technical strategies around Databricks solutions.
• You provide structured mentorship for other team members.
• Gain the respect of your peers based on your experience, insight, and contributions.

Competencies:

• Proficiency at establishing virtual teams, and leading them to ultimate success within the account.
• Experience working very large (> $1m ARR), global accounts.
• Form relationships with executives and influencers.
• Present a convincing point-of-view to important decision-makers that leads them down a path of success.
• Technical in big data, data science and cloud.
• An ability in data-driven business transformation, and driving change with data.
• Production programming experience in Python, R, Scala or Java
• Nice to have: Databricks Certification

Description

Graham Capital Management, L.P. is seeking a Quantitative Research Analyst with a specialization in Smart Execution and intraday trading signals to join our Quantitative Strategies team. The role is an excellent opportunity for a quantitative researcher to diversify their experience and join a dynamic team in a high-impact role.

Responsibilities

• Develop and optimize proprietary execution strategies and intraday systematic strategies for Futures and FX
• Perform market microstructure research to develop trading signals and understand execution costs
• Understand, measure, and evaluate the performance of internal and broker execution algorithms
• Collaborate with other team members to implement execution and intraday strategies and proactively provide feedback and ideas for improving our systems and processes

Requirements

• MS or PhD in a quantitative field such as science, engineering, or finance
• 3+ years of related experience at a bank, asset management, hedge fund, or prop trading firm
• Successful track record of developing intraday alpha signals or execution algos in the Futures or FX space
• Experience working with tick/order book data, microstructure signals, analyzing large datasets, and developing predictive statistical models
• Advanced programming skills in languages suited for quantitative research and strategy implementation – preferably Python and C++
• Experience with execution algos and intraday systematic strategies preferred
• Exposure to machine learning and high-performance computing would be helpful in this role
• Experience with options trading algorithms is a plus

This role requires commuting into our Rowayton CT office Mondays through Fridays.

Base Salary Range

The anticipated base salary range for this position is $175,000 to $250,000. The anticipated range is based on information as of the time this post was generated and does not include any discretionary bonus or benefits (see eligibility below). The applicable annual salary or hourly rate paid to a successful applicant will be determined based on multiple factors, including without limitation the nature and extent of prior experience, skills, and qualifications.  This wage range may be modified in the future.

In addition, the employee who fills this role will be eligible for a discretionary annual bonus, as well as a wide array of benefit programs, such as medical and life insurance, 401(K) plans, and access to other healthcare programs.

Notes:

No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, benefits, or any other form of compensation that a particular employee may be eligible for remains in the Company's sole discretion unless and until paid and may be modified at Graham’s sole discretion, consistent with the law.

Graham is committed to providing equal employment opportunity to all employees and applicants for employment without regard to their race, color, religious creed, gender, age, national origin, ancestry, alienage, citizenship status, handicap, disability, marital status, sexual orientation, gender identity, pregnancy, childbirth or other related conditions, military status, genetic information, or any other personal characteristics protected by applicable law. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, layoff, termination, transfer, leave of absence and compensation.

About Us

Hyperfine, Inc. (Nasdaq: HYPR) is the groundbreaking health technology company that has redefined brain imaging with the Swoop^_® system—the first FDA-cleared, portable, ultra-low-field, magnetic resonance brain imaging system capable of providing imaging at multiple points of care in a healthcare facility. Our mission is to revolutionize patient care globally through transformational, accessible, clinically relevant diagnostic imaging. Learn More

About The Role

Job Title: Senior AI Scientist

Location: Guilford, Connecticut

The Senior AI Scientist is a talented and experienced Scientist with applied experience in Machine Learning who will innovate and expand our product capabilities. The goal of this role is to develop techniques that solve a wide range of challenging scientific and clinical problems in MRI aimed at improving patient outcomes. You will introduce new algorithms and machine learning models that solve difficult imaging tasks, make our models more accurate and robust, and introduce entirely new approaches.

Key Responsibilities

• Coordinate tasks and goals with other scientists, software engineers, and a clinical team to help develop a new suite of intelligent medical products. 
• Rapidly prototype deep learning models including, but not limited to, classification, detection, segmentation, reconstruction, super-resolution, and denoising; iterate on training models with fast turnaround time. 
• Design and develop new machine learning algorithms while keeping abreast of the latest advances across various labs and conferences. 
• Maintain and continuously improve our existing DL models, with new training data and modeling techniques. 
• Support software releases, and regulatory documentation. 

Knowledge, Skill & Abilities:

• Ability to design new algorithms for practical problems on real-world datasets. 
• Ability to quickly learn new concepts and apply to research and development process in an iterative and incremental fashion. 
• Ability to work efficiently and clear roadblocks in timely manner. 
• Adaptability to fast-changing work environment. 
• Strong communication skills and proactiveness for working in a cross-functional collaborative environment. 

Required Education & Experience:

• PhD in a relevant field, or MS (or equivalent) with 2+ years of applied experience.
• Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning.
• Experience working with Medical Images and Magnetic Resonance Images.
• Software engineering experience in developing and maintaining systems using Python. 
• Programming experience in PyTorch and/or TensorFlow.

Physical Demands:

• This is a full-time, on-site role based out of Hyperfine’s office in Guilford, CT.
• Available nights, weekends, and holidays as business needs require.

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship now or in the future of any employment Visa.

The annual base salary for this position is between $156,000 - $179,000. This position is also eligible for to participate in Hyperfine's corporate bonus and equity plans. Individual compensation packages are based on various factors unique to each candidate including skill set, relevant experience, qualifications, location, position level, and other job-related reasons.

Agency Resumes: We do not accept resumes from recruitment agencies without a prior agreement in place. Any unsolicited resumes submitted by agencies will be considered the property of Hyperfine and will not be subject to any fees or charges if the candidate is hired.