Palantir Jobs in Usa
15 positions found — Page 2
HEAD OF MID MARKET SALES needed at one of our Investment Technology Data and Analytics platform clients! Hybrid 1 - 2x per week in office in NYC only. Base $200k - $250k plus performance bonus (first year guaranteed). You will be building a GTM sales team from the ground up for a new mid market vertical selling into the buy side, sell side and private markets firms. Must have experience building and leading teams selling relevant SaaS solutions into these markets, ideally a SaaS Data Platform. Experience at Snowflake or Databricks is a huge bonus. Other relevant firms include Palantir, Anthropic, BlackRock (Aladdin Data Cloud), Starburst, Alteryx, AWS, GCP and Azure.
Position Summary
The Head of Middle Market Sales will be responsible for building a new go-to-market (GTM) motion from the ground up targeting mid-market financial institutions, asset managers, private capital firms, and regional banks. This leader will recruit, develop, and manage a high-performing sales organization, define the sales playbook, and establish the commercial foundation for long-term scalable growth. This role requires a mix of strategic vision, entrepreneurial drive, and hands-on sales leadership in complex B2B technology environments within financial services.
Responsibilities:
1. GTM Strategy & Execution
- Work closely with key stakeholders to design and execute a complete go-to-market strategy for the middle market segment (including segmentation, pricing, sales motion, and channel strategy).
- Help validate the ideal customer profile (ICP) and targeted messaging, positioning, and value proposition for mid-market financial institutions.
- Partner cross-functionally with marketing, product, and customer success to align demand generation and post-sale delivery.
2. Sales Leadership & Team Building
- Recruit, onboard, and lead a new team of enterprise account executives and business development professionals from scratch.
- Build a high-performance, metrics-driven sales culture focused on accountability, client success, and continuous improvement.
- Coach and mentor sales talent on solution selling, financial data workflows, and multi-stakeholder deal cycles.
3. Pipeline & Revenue Management
- Drive predictable revenue growth through disciplined pipeline management, forecasting, and territory planning.
- Collaborate closely with revenue operations to establish performance metrics, CRM rigor, and sales process consistency.
Qualifications:
- 7+ years of experience in B2B sales leadership within financial technology. Majority of this experience should be within SaaS Data Platform High Velocity sales specifically, with a strong network across the buy side, sell side, and/or private markets.
- Proven track record of building and scaling a new High Velocity sales organization (preferably from zero to meaningful ARR).
- Deep understanding of financial data workflows — including portfolio management, risk, operations, or data management systems.
- Exceptional leadership, communication, and organizational skills; thrives in a high-growth, fast-paced environment.
- Experience working both with complex sales cycles ($250k–$2M+ ACV) and with high-velocity sales cycles ($50k - $150k+ ACV)
- Entrepreneurial mindset with strong operational discipline — equally strategic and execution-focused.
Salary: $150,000
- $210,000 per year A bit about us: Join a fast-growing, well-funded Series B startup at the forefront of building the modern test stack for hardware engineering teams.
Founded by MIT, SpaceX, Palantir, Anduril, NASA, and Harvard alumni and backed by top-tier investors like Founders Fund and General Catalyst.
This company is revolutionizing how aerospace, autonomy, clean energy, and advanced manufacturing teams collect, validate, and act on real-time data.
Why join us? High-growth startup with long runway and serious backing Ownership and impact: Build features from scratch, influence the roadmap Deeply technical product serving cutting-edge industries Competitive salary + meaningful equity 100% covered health benefits, 401(k), unlimited PTO, learning stipends Job Details Job Responsibilities Develop and deploy tailored software solutions, tools, and integrations that address unique customer needs, with a strong focus on fast iteration and functional prototypes.
Design and maintain robust data workflows that facilitate seamless connectivity between client data systems and our internal platforms, often operating in highly technical and unconventional environments.
Collaborate closely with cross-functional teams—including Sales and Operations—to support technical evaluations, guide pre-sales discussions, and define the scope of customer-facing projects.
Serve as a key voice of the customer by relaying technical feedback and user insights to influence product direction and shape future feature development.
Contribute to team growth by participating in recruitment, conducting technical interviews, and helping onboard new engineering team members.
Job Requirements Proven experience in software development, particularly in environments that require adaptability and a high degree of autonomy.
Strong analytical thinking and creative problem-solving skills, with the ability to work efficiently and independently.
A user-first perspective with a clear enthusiasm for applying software to real-world, high-impact engineering challenges.
Eagerness to be part of an early-stage team building tools that enhance the capabilities of advanced hardware systems and teams.
Willingness to travel up to 25–50% to engage directly with customers at technical sites, such as aerospace test facilities or high-precision manufacturing environments.
Experience building backend systems using Java or any other backend languages, tools, and frameworks Bachelor's degree in Computer Science preferred Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
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Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
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Salary: $80
- $200 per hour A bit about us: We are an award winning team of technology professionals who love what we do! Location: 100% Remote Project Duration: On-going Why join us? 100% Remote! High Caliber team Exciting work Work on meaningful, real-world problems — not demos or internal tooling High trust environment with ownership and autonomy Title-flexible role designed around experience, not hierarchy Job Details We are seeking a former Palantir professional with hands-on experience building and delivering real solutions on Palantir platforms.
This role is for someone who has actually shipped work using Palantir Foundry (strongly preferred), Gotham, or Apollo — not just supported from the sidelines.
You’ll work on complex, high-impact problems where data, logic, and applications must come together cleanly and reliably, often in ambiguous or regulated environments.
What You’ll Do Design, build, and deploy production-grade solutions using Palantir Foundry, Gotham, or Apollo Work end-to-end across data ingestion, modeling, logic, application development, and deployment Translate real-world business or operational problems into scalable platform solutions Operate effectively in high-stakes environments where accuracy, security, and reliability matter Collaborate closely with stakeholders and clearly explain complex systems and trade-offs What We’re Looking For Former Palantir employee (required) Direct, hands-on experience delivering solutions on Palantir Foundry (strongly preferred), Gotham, or Apollo Background in data engineering, software development, platform engineering, or advanced analytics Proven ability to take solutions from concept to production Strong problem-solving mindset with demonstrated customer or mission impact Comfortable working in ambiguous, fast-moving, or regulated settings Clear communicator who can simplify complex technical systems for diverse audiences Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer.
We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws.
Jobot also prohibits harassment of applicants or employees based on any of these protected categories.
It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
Sometimes Jobot is required to perform background checks with your authorization.
Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at /legal.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners.
Frequency varies for text messages.
Message and data rates may apply.
Carriers are not liable for delayed or undelivered messages.
You can reply STOP to cancel and HELP for help.
You can access our privacy policy here: /privacy-policy
Job Title - Delivery Lead
Location - Jersey City (3-4 days per week)
Salary - Up to 150k
We are seeking a Delivery Lead to manage the end-to-end delivery of cutting-edge AI and data platform projects, including solutions leveraging Generative AI and modern data engineering architectures. This role requires strong coordination across cross-functional teams of Data Engineers, Machine Learning Engineers, Architects, and platform specialists to ensure successful implementation and business alignment.
Key Responsibilities:
- Lead full lifecycle delivery of data and AI solutions – from discovery and design through development, deployment, and adoption.
- Collaborate with Solution Architects, Data Scientists, and business stakeholders to validate functional use cases and technical feasibility.
- Manage technical risks, drive issue resolution, and ensure the quality and scalability of delivered solutions.
- Oversee sprint planning, release management, and production deployment, including post-release monitoring and performance tuning.
- Champion best practices in data governance, AI/ML lifecycle management, model interpretability, and ethical AI usage.
- Foster strong relationships with business users, enterprise architects, and vendor partners to ensure value-driven outcomes.
Required Skills:
- 8 +years of experience in delivering enterprise-scale data and AI projects
- Proven success in leading cross-disciplinary technical teams and implementing AI/ML solutions in production environments.
- Strong grasp of data architecture, data pipelines, prompt engineering, model deployment, and evaluation metrics.
- Excellent communication skills and ability to bridge technical and business teams effectively.
- Palantir experience is a plus
For more information on benefits and what we offer please visit us at
At TWG Group Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries, including financial services(particularly capital markets and fixed income), insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees.
We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. Our solutions power trading desks, portfolio optimization, and risk analytics across fixed income, derivatives, and structured products.
You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation.
At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses.
The Role
As the Staff Machine Learning Engineer (VP) on the AI Science team, you will be responsible for architecting and deploying cutting‑edge ML systems that power core business functions across the enterprise. Reporting to the Executive Director of AI Science, you will play a critical role in driving the development of scalable ML infrastructure, production‑grade models, and reusable frameworks that deliver measurable business outcomes—ranging from cost optimization to top‑line growth. You will bridge quantitative research and technology, with deep understanding of fixed income markets and derivatives.
You will act as a technical thought leader and strategic partner in shaping the direction of the organization’s machine learning investments, fostering a culture of rigorous experimentation, reproducibility, and responsible AI.
Key Responsibilities
- Design and deploy ML systems that solve high‑impact business problems for critical workflows.
- Develop and implement advanced ML methods including time series forecasting, reinforcement learning, optimization algorithms, and probabilistic modeling.
- Lead the adoption of emerging ML techniques and tools (e.g., generative AI, LLM fine‑tuning, vector databases, RAG) through rapid prototyping.
- Partner with AI researchers and data scientists to translate experimental models into production‑ready systems, supporting scaling and generalizability across business domains.
- Own the development of foundational models and platform capabilities that serve as building blocks for downstream AI applications across the organization.
- Ensure ML models are designed with safety, fairness, and transparency in mind, and aligned with internal governance frameworks and external regulatory standards.
- Collaborate with cross‑functional leaders in engineering, product, and business teams to embed ML‑driven decision‑making into core processes and workflows.
- Continuously evaluate emerging ML techniques and tools, and champion their adoption through rigorous prototyping, benchmarking, and knowledge sharing.
- Define and manage metrics to evaluate model performance and business impact, ensuring ML projects meet both scientific and operational standards.
- Design ML‑driven pricing models for fixed income securities, derivatives, and structured products.
- Mentor other ML engineers and data scientists, fostering technical excellence and a culture of innovation and collaboration.
Qualifications
- 8+ years of experience building and deploying machine learning systems in production environments, preferably in investment banking, fixed income trading, or hedge funds, ideally within enterprise or platform‑scale settings.
- Proven track record of leading ML projects from ideation to production, including cross‑functional collaboration and technical ownership.
- Deep expertise in supervised, unsupervised, reinforcement learning or statistical modeling.
- Experience with multimodal, generative AI, or large language models (e.g., LLMs, diffusion models) is a strong plus.
- Proficiency in Python, along with modern ML and data stack tools (e.g., TensorFlow, PyTorch, scikit‑learn, JAX, Ray, MLflow).
- Hands‑on experience with MLOps principles and frameworks (e.g., CI/CD pipelines for ML, model monitoring, reproducibility).
- Strong understanding of cloud‑based ML infrastructure (e.g., AWS SageMaker, GCP Vertex AI, or similar).
- Exceptional communication and collaboration skills, with the ability to translate technical details into strategic decisions.
- Strong foundation in fixed income analytics, derivatives pricing, and risk management.
- Commitment to responsible AI, including model fairness, transparency, and compliance with regulatory standards.
- Master’s or PhD in Computer Science, Machine Learning, Statistics, or a closely related discipline.
Preferred Qualifications
- Hands‑on experience with Palantir platforms (e.g., Foundry, AIP, Ontology) – including developing, deploying, and integrating machine learning solutions within Palantir’s data and AI ecosystem.
- CFA or FRM certification
Position Location
This position is based out of our Santa Monica, CA office. Consideration for a different working location will be considered on a case‑by‑case basis.
Compensation
The base pay for this position is $240,000–285,000. A bonus will be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits.
TWG is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
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