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Ai Oncology Portfolio Lead Jobs

10,000 active opportunities · Updated for October 2026

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Explore current ai oncology portfolio lead jobs. Use filters to narrow by work mode, employment type, experience and date posted.

BA
Bolna AI
📍 Bengaluru• Full-time
1mo ago

We’re looking for a Talent Acquisition professional to join the People team at Bolna.ai . This is a hands-on role for someone who understands the nuances of hiring , thrives in a fast-paced environment, and knows how to build pipelines, convert strong candidates, and help teams hire exceptional talent at speed. What you’ll do Own end-to-end hiring across multiple functions — from understanding the requirement and sourcing to interviews, offers, and closures. Partner closely with hiring managers and leadership to understand hiring needs, define candidate profiles, and drive focused hiring strategies. Build and maintain strong talent pipelines through LinkedIn, referrals, communities, databases, and creative sourcing channels . Understand the nuances of hiring — what to look for, where to find the right talent, how to engage candidates, and how to convert them . Drive fast-paced hiring without compromising on candidate quality or experience. Build strong candidate relationships and effectively manage the funnel from first conversation to closure . Own and strengthen employee referral programs , finding creative ways to increase participation and conversions. Track pipeline health and hiring metrics, identify bottlenecks, and continuously improve the hiring process. Contribute to employer branding, talent mapping, and other hiring initiatives as Bolna scales. Who we’re looking for 3–6 years of experience in Talent Acquisition / Recruitment, preferably in a startup or high-growth environment. Strong understanding of fast-paced hiring and high-volume / multi-role recruitment . Excellent sourcing, screening, candidate engagement, and offer conversion skills. Strong understanding of the nuances of hiring and building quality talent pipelines . Experience managing or building employee referral programs . Strong communication, stakeholder management, and negotiation skills. High ownership, urgency, and attention to detail. Someone who enjoys figuring things out, moving fast,

BA
Bolna AI
📍 Bengaluru• Full-time
1mo ago

We’re looking for a technical force multiplier to work directly with the founders at Bolna.ai . This is not a traditional Chief of Staff, PM, or engineering role. It sits at the intersection of strategy + product + engineering. Your job is simple: take messy, important problems, figure out what matters, and make things happen. What you’ll do Find and build ways to leverage AI internally to dramatically improve engineering velocity and company operations. Dive into product, business, growth, and engineering data to uncover insights and turn them into clear, actionable recommendations. Work across Engineering, Product, and Growth to supercharge teams, remove bottlenecks, and unlock leverage through technology. Pick up ambiguous, high-leverage problems and drive them end-to-end. One day could mean discovering and iterating on a new tool in the morning, building a prototype that afternoon, and shipping it by the end of the day. Who we’re looking for You have high agency and a founder’s mindset . You’re technically strong enough to build prototypes, deeply curious about how things work, and fast at learning unfamiliar domains. You have strong product and business intuition, can reason from messy data, and communicate clearly in writing. You’d rather skip a one-hour meeting to spend that hour chasing a curiosity that could create 10x the impact . You know that disproportionate outcomes often come from asking the question nobody assigned you to ask. You don’t wait for perfectly scoped tasks. Depending on the problem, you’re comfortable researching, coding, analyzing data, talking to customers, testing a product, or coordinating a team. Most importantly, you have good judgment about what is worth pursuing . If you’re an ex-technical founder or founding engineer , this role will likely feel familiar: high ambiguity, high ownership, and a bias toward figuring things out yourself. We operate with a simple belief: AI, when applied skillfully to the right problems, can create di

BA
Bolna AI
📍 Bengaluru• Full-time
13 days ago

About Bolna Bolna is a YC-backed voice AI orchestration platform built for the Indian market—powering multilingual, vernacular voice agents across Hindi, Hinglish, Tamil, and 10+ languages at sub-500ms latency across collections, recruitment, sales, and e-commerce use cases. We are an orchestration layer, not a model company: our moat is outcome-labelled vernacular data, rigorous evaluation infrastructure, and a growing taxonomy of how Indian enterprise voice AI fails in production. Why This Role Exists Product decisions at Bolna increasingly hinge on rigorous, code-mixed-aware data analysis—and not just one kind. On one side, there is model and evaluation rigor: LLM benchmarking for post-call intelligence, ASR/WER evaluation, inter-rater reliability on human-labelled calls, and routing and latency economics. On the other, there is product and growth insight: understanding where self-serve users drop off in their journey, what patterns emerge across lakhs of monthly calls, and which use cases and configurations are actually working. Both currently sit with the Head of Product alongside strategy and roadmap ownership. We need a dedicated analyst to own the execution and recurring cadence across both-freeing product leadership to act on findings rather than produce them. What You’ll Do Model and Evaluation Analysis LLM and model benchmarking: Run structured comparisons across model providers such as Sarvam, DeepSeek, Gemini, and Claude variants for tasks including post-call extraction and LLM-as-judge scoring. Evaluate cost, accuracy, fill rate, and TTR, with particular attention to Hinglish and code-mixed content. Evaluation infrastructure: Build and maintain LLM-as-judge pipelines using tools such as DeepEval, design and track evaluation metrics, and run inter-rater reliability analysis such as Krippendorff’s alpha across human call reviewers. Golden dataset creation: Support the construction of golden datasets for ASR and transcript labelling, including flagging co

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SA
Sapience AI Corporation
📍 Seattle• $180K – $190K/yr
14 days ago

Sapience AI is the collective intelligence platform for professional communities. We sit above the CRMs, AMS platforms, and knowledge bases that organizations already run, and we turn the expertise scattered across them into something every member can search, act on, and share. The intelligence a community needs is already inside it. Most organizations just cannot reach it. Knowledge lives in silos, in legacy systems, in the heads of a few experts, and in fragmented records no one can connect. We change that. Our work is grounded in four commitments: technology elevates people and never replaces them, the best expertise is already inside the community, everything is built on trust, and every deployment is purpose-driven for the organization it serves. Let’s achieve more, together. Where this role sits This role owns a product area end to end. Where the product marketer is the market lens, you are the person accountable for what we build, how it works, and whether it ships and succeeds. You lead a cross-functional team of engineers, designers, and applied AI specialists to turn strategy into a product members rely on. You own the roadmap for your area, the decisions inside it, and the outcomes it produces. You work at the center of the product organization, translating a clear point of view into shipped work that moves MINERVA and the COGENT architecture forward through each GR/GA milestone. Why this role exists In an AI market where capabilities can be copied in weeks, the advantage goes to teams that decide well and ship fast. Someone has to hold the point of view, make the calls, and keep a team building the right thing. Collective intelligence is hard product work: reasoning over messy knowledge, earning member trust, and fitting into how communities already operate. It needs an owner who can hold both the ambition and the details. The Senior Product Manager is that owner. You set direction for your area, make the hard prioritization calls, and are accountable fo

sqlaiCRM
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At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Public Sector engineers build the core product including the systems required to ingest and process federal datasets that support real-time decision-making in contested environments. As a New Grad Software Engineer on this team, you will own meaningful, mission-facing work from day one: shipping features, sitting with the government stakeholders who use them, and iterating fast. Example Projects Build multi-layered guardrails that keep agents safe and predictable in high-stakes federal environments Optimize data retrieval for agents, including RAG pipelines over large, heterogeneous federal datasets Build orchestration for fleets of asynchronous agents running long-horizon tasks Develop systems that automatically alert users to deviations and anomalies in incoming data Create interfaces that illustrate how an agent reached a decision, so operators can audit and trust its output Develop data pipelines and ML infrastructure that make previously siloed government data sources accessible to agents Build evaluation infrastructure that measures model reliability against mission requirements Ship full-stack tooling that lets analysts query, visualize, and explore mission data Deploy and harden applications into secure, air-gapped, and cloud-native government environments Requirements A graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) Product engineering expe

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About Us Are you ready to build the future of the supply chain? At Gather AI, we’re not just creating software; we’re pioneering a new era of warehouse intelligence. We’ve developed a groundbreaking, vision-powered platform that uses autonomous drones and existing equipment to capture real-time data, completely digitizing workflows that have historically been manual and error-prone. This means facilities operate smarter, safer, and more efficiently, ultimately redefining “on-time, in full” delivery. If you’re looking for an opportunity to contribute to truly transformative technology and make a significant impact in a vital industry, Gather AI is the place for you. We’re leading the charge in the rapidly evolving robotics industry, and we invite you to join us in reshaping the global supply chain, one intelligent warehouse at a time. About the Team You’ll be part of our Engineering organization, working closely with our Full Stack and WMS integration teams. The group builds and operates the production systems behind Gather AI’s warehouse intelligence platform, including APIs, integrations, data pipelines, databases, and application services used by our customers and internal teams every day. This is a small, distributed engineering team where engineers work across a broad technical surface area and have the opportunity to see their work through the full software development lifecycle, from design and development through deployment, production monitoring, troubleshooting, and improvement. About the Role We are hiring an SDE II, Full Stack, for our India-based team. You'll build and run the web platforms behind Gather AI's products - Drone Vision, MHE Vision and SAGE, from the customer-facing dashboards down to the APIs, Integration layers and data pipelines that serve them. This is a fully remote, hands-on engineering role for someone early in their career who already has experience building production software and wants broader ownership. You’ll work alo

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SA
Scale AI
📍 San Francisco• Full-time• From $1.5M/yr
18 days ago

We are seeking an experienced and detail-oriented US Payroll Specialist to oversee our end-to-end multi-state payroll operations. In this role, you will ensure accurate, timely, and compliant payroll processing for all US-based employees while managing internal payroll initiatives. The ideal candidate is a strategic problem-solver with deep expertise in US labor laws, taxation, and ADP+Workday payroll systems. You will: Full-Cycle Payroll Processing: Oversee the accurate and timely processing of multi-state bi-weekly and semi-monthly payrolls for over a thousand exempt and non-exempt employees across most of the USA. Compliance & Taxation: Ensure strict adherence to federal, state, and local tax laws, as well as FLSA regulations. Monitor regulatory changes and update internal systems accordingly. Year-End Processing: Manage year-end payroll activities, including W-2 and W-2c generation, fringe benefit reporting, and annual tax reconciliations. Cross-Functional Collaboration: Partner closely with HR to ensure accurate data flow for onboarding, offboarding, benefits deductions, and compensation changes. Ability to work with Accounting to ensure accurate general ledger mapping, month-end close procedures, and payroll account reconciliations. System Administration & Optimization: Act as the primary subject matter expert for our payroll system (e.g., Workday, ADP). Identify bottlenecks, recommend process improvements, and lead system upgrades or implementations. Issue Resolution, Continuous Improvement & Auditing: Conduct regular audits of payroll data to identify and resolve discrepancies. Serve as the ultimate point of continuous improvement with AI and other methodologies to ensure Scale’s payroll processes are best in class. Ideally you'd have: 5+ years of payroll experience. Strong organizational skills; the ability to get all priority tasks completed by the end of each day. Confidentiality and integrity. Accuracy under pressure and extreme attention to

awsrestai
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F
Forma.ai
📍 Toronto• Full-time• From C$190K/yr
19 days ago

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team We build enterprise software that helps organizations optimize sales performance and improve go-to-market agility. Our engineering organization includes multiple product application teams responsible for delivering core customer-facing capabilities. We are seeking Senior Backend Engineers to join our application teams. You’ll work alongside staff, senior, and early-career engineers to design, build, and scale backend systems that power enterprise-grade product workflows. This is an opportunity to work on complex product and data problems while contributing meaningfully to technical decisions, system quality, and team delivery. We are low on meetings and high on accountability. Most of the team is in the EST time zone, with a few located in AST, PST, and Central as well. What you’ll be doing You will play an important role in the continued evolution of our application stack. You will design and build backend capabilities for complex product workflows, contribute to system design discussions, and help ensure our systems remain maintainable, reliable, and scalable as we grow. As a Senior Backend Engineer, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge cases, asking thoughtful questions, and proposing improvements that strengthen the quality and reliability of the system. You will: Design and build backend services that power complex product workflows. Contribute to d

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F
Forma.ai
📍 Toronto• Full-time• C$110K – C$150K/yr
19 days ago

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! The Role As a Senior Solutions Engineer, you will play a critical role at the intersection of data, technology, and customer impact. You will lead the design and delivery of scalable, reliable, and high-impact technical implementations for our enterprise clients. Working with diverse and complex datasets across industries, you’ll build and optimize end-to-end analytics solutions that directly influence how customers engage with the Forma platform. You’ll partner cross-functionally to identify opportunities, scope high-value solutions, and deliver outcomes that drive measurable business impact. This is a highly visible, client-facing role that combines hands-on technical expertise with strategic thinking. What You’ll Do Lead strategic technical engagements with enterprise clients, guiding solution design for complex business challenges using the Forma platform Design, build, and optimize scalable data architectures, pipelines, and workflows (e.g., PySpark, Databricks) Translate business requirements into robust, production-ready data solutions Design and deliver custom code and customer-specific integrations to extend the Forma platform for unique client requirements Partner with Professional Services to extract, transform, and analyze client data to optimize incentive compensation and sales performance strategies Collaborate with Product, Engineering, and Customer Success to deliver high-quality, actionable datasets and insights Drive improvements in data infrastructure, perfor

pythonsqlaws
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F
Forma.ai
📍 Toronto• Full-time
19 days ago

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the team Engineers on this team build the application our customers and internal teams use to configure, operate, manage, and visualize complex incentive compensation workflows. There are many complex and difficult areas across the product, especially across frontend architecture and user experience, because of high data volumes, wide configurability, complex business logic, and mission-critical operational workflows. The work is not just about building screens; it is about helping users understand, act on, and trust complex compensation data and operational processes. We are low on meetings and high on accountability. Most of the team is in the EST timezone, with some teammates in PST and Central. We are far from maintenance or simple progressive evolution in many areas; there is a lot of room to make a meaningful impact on the overall user experience, product architecture, and frontend design patterns. What you’ll be doing Reporting to the VP of Engineering, the Staff Frontend Engineer will play a critical role in shaping the technical direction, architecture, and long-term evolution of Forma’s customer-facing and internal operations experiences. You’ll operate as a frontend technical leader, working across teams to drive alignment, set standards, and solve complex, ambiguous problems in a highly configurable, data-intensive product. You’ll partner closely with product, design, engineering, and leadership to define not just what we build, but how we build it — ensuring

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F
Forma.ai
📍 Toronto• Full-time
19 days ago

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! The Opportunity As a Staff Security Engineer, you will be a hands-on technical leader strengthening security across Forma's application, cloud infrastructure, development lifecycle, internal systems, and incident-response practices. Security today is shared across Engineering and DevOps. You'll work closely with both teams and have real room to shape how Forma approaches security as we grow. Depending on your interests and the needs of the business, the role could develop into a deeper individual-contributor position or help build a dedicated security team. You'll work directly with Engineering, DevOps, IT, Product, Legal, and Privacy to identify risks, design practical controls, automate security processes, and help teams ship secure and reliable software. What you'll do Cloud and infrastructure security Design and implement security controls across Forma's AWS environments, with a focus on IAM, least-privilege access, service identities, and account boundaries. Embed security requirements into Terraform and other Infrastructure as Code, and improve secrets, certificate, encryption-key, and credential management. Build automated checks for insecure configurations, excessive permissions, exposed resources, and configuration drift across Kubernetes, containers, serverless workloads, networking, and data services. Application, data, and AI security Run threat modelling and security architecture reviews for new products, services, APIs, data pipelines, and third-party integrations

pythonawskubernetes
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F
19 days ago

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team Engineers on this team construct our rules-based calculating engine for processing sales commissions. This might sound simple if you have never been exposed to sales comp plans, it is not! We are low on meetings, high on accountability. Most of the team are in EST time zone but we have a few located in PST and Central as well. We are far from maintenance / progressive evolution in many areas, there is a lot of room to make a big impact in the overall design. What you’ll be doing Reporting to the Manager of Data Platform, you will play a critical role in the evolution of our Spark based data platform. You'll lead development efforts for our complex, data-rich platform features while being an example to the team of code quality and thoughtful software design. You will be working on the most challenging code at Forma. As a Staff Engineer, you are expected to operate with a high degree of ownership and trust. This includes proactively identifying architectural risks, surfacing edge cases or constraints others may not see, and advocating for improvements that strengthen the long-term integrity of the system. We value engineers who bring forward thoughtful perspectives - even when they challenge assumptions - and who help the team see around corners. You will: Design and evolve backend services that power product workflows. Architect data models representing hierarchical & graph structures, relationships, and large-scale enterprise datasets. Build

javascripttypescriptpython
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F
Forma.ai
📍 Toronto• Full-time• From C$190K/yr
19 days ago

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team Engineers on this team build our rules-based calculation engine for processing sales commissions. This might sound simple if you have never been exposed to sales compensation plans, it is not. We are low on meetings and high on accountability. Most of the team is in the EST time zone, with a few located in PST and Central as well. We are still evolving many areas of the platform, which means there is meaningful room to improve the design, reliability, and scalability of the systems we build. What you’ll be doing Reporting to the Manager of Data Platform, you will play an important role in the evolution of our Spark-based data platform. You’ll design and build data-rich platform capabilities, contribute to system design discussions, and help ensure our data systems remain reliable, maintainable, and scalable as Forma grows. As a Senior Engineer, Data Platform, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge cases, asking thoughtful questions, and proposing improvements that strengthen the quality and reliability of the platform. You will: Design, build, and improve Spark-based data pipelines and platform services. Work with complex data models representing sales compensation plans, hierarchies, relationships, and enterprise datasets. Build reliable, deterministic data systems that customers and internal teams can trust. Improve testing, observability, data quality,

javascripttypescriptpython
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F
Forma.ai
📍 Toronto• Full-time• From C$190K/yr
19 days ago

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the team: Engineers on this team build the application our customers and internal teams use to configure, operate, manage, and visualize complex incentive compensation workflows. This role sits within Forma’s ICM Operations platform, spanning areas such as Core Services, Business Intelligence, workflows, automation, APIs, claims management, next-generation reporting, and data exploration capabilities. There are many complex and difficult areas across the product, especially across frontend architecture and user experience, because of high data volumes, wide configurability, complex business logic, and mission-critical operational workflows. The work is not just about building screens; it is about helping users understand, act on, and trust complex compensation data and operational processes. We are low on meetings and high on accountability. Most of the team is in the EST timezone, with some teammates in PST and Central. We are far from maintenance or simple progressive evolution in many areas; there is a lot of room to make a meaningful impact on the overall user experience, product architecture, and frontend design patterns. What you'll be doing: Reporting to the VP of Engineering the Senior Frontend Engineer will play a key role in building, evolving, and scaling Forma’s customer-facing and internal operations experiences. You’ll work closely with product, design, engineering, operations, and leadership partners to deliver intuitive, performant, an

javascripttypescriptpython
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F
Forma.ai
📍 Toronto• Full-time• From C$55K/yr
19 days ago

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! About the Team: The Customer Operations team works closely with new and existing customers by implementing product features, managing the operational parts of the platform, and optimizing our client’s sales performance management processes. We are always ready to support and help our customers to identify ways they can unleash the revenue-driving potential of their sales compensation program. If you’re passionate about data analytics and want to contribute to sales operations, we’d love to hear from you! What you’ll be doing: Own the day-to-day customer relationship, building strong working relationships with senior client stakeholders across a portfolio of customers Act as an architect for a new customer, translating data inputs and required business logic into Forma rule / system logic, commission engine architecture and outputs Learn design of the company's platform to the extent of being able to independently complete updates, enhancements, and change requests Work with Forma.ai's Product and Engineering teams to articulate customer feedback that informs the priority of new product features and to implement new platform features to support continuous improvement and automation Manage customer expectations regarding deliverables and project timelines, ensuring Forma is positioned for success Develop a deep understanding of each client's strategic positioning, key products, business model, and strategic objectives. Be responsible

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