• Analyze current SDLC processes to identify opportunities for AI-driven improvements and automation. • Design and implement AI-powered tools to support code review, testing, deployment, and monitoring. • Collaborate with software engineering, QA, and DevOps teams to integrate AI solutions seamlessly into existing workflows. • Develop metrics and evaluation frameworks to measure the effectiveness and impact of AI enhancements on SDLC efficiency. • Drive continuous improvement initiatives by leveraging data-driven insights and A/B testing of AI tools within the development lifecycle.

Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Agentic AI - Remote. In this role, you will have a transformative impact on the organization's approach to AI, partnering directly with senior leaders to redefine the operational model. You'll guide the integration of autonomous tools and systems, driving innovation and enhancing team productivity. By reshaping workflows and processes, you'll enable a culture of adaptive learning that supports our partner's mission to revolutionize access to financial products through AI. This is an opportunity to significantly influence strategic direction and functional transformation for a global audience. - Design the future operating systems in collaboration with senior leadership. - Define the integration of autonomous tools and human judgment into decision-making. - Deliver technical projects that enhance team efficiency and capacity. - Prototype and validate process innovations with AI tools. - Transform proof-of-concept learnings into scalable frameworks. - Collaborate with data and engineering teams on infrastructure needs. - Advise leadership on aligning AI capabilities with business strategies. - Encourage a culture of innovation and responsible AI adoption. Qualifications - 8+ years in business transformation or related fields. - Experience leading cross-functional initiatives. - Strong technical proficiency with AI tools and automation. - Hands-on experience in workflow automation and custom skills. - Excellent communication skills for cross-technical collaboration. - Systems thinking with a focus on execution and impact. - Bachelor’s degree in a technical field; MBA is a plus. - Familiarity with data architecture and AI initiatives (preferred). Benefits - Virtual-first work environment with international collaboration. - Competitive compensation and equity options. - Flexible health plans and comprehensive subsidies. - Direct access to leadership and decision-making. - Paid global team meetups for enhanced team bonding. - Recognition of impact and opportunities for growth. Company Description

Role Description For our client - a fast-growing AI-driven fitness and wellness product - we are looking for an AI Engineer who will design and build intelligent AI coaching systems that plan, adapt, and personalise workouts in real time. You will develop AI agents and recommendation engines that combine structured user data, health signals, and fitness science principles to deliver safe, effective, and highly personalised training experiences. This includes building multi-step reasoning pipelines, retrieval systems, evaluation frameworks, monitoring, and guardrails, ensuring an AI coach performs reliably in production and continuously improves over time. - Building AI agents that plan workouts, adapt in real time, and coach users - including tool use, multi-step reasoning, memory management, and context pipelines - Building and improving recommendation systems - exercise selection, weight recommendations, intensity scaling - using structured user data - Integrating health and recovery signals (Apple Health, body scans, fitness tests) into the coach's decision-making process - Working with the Fitness Science team to define what "good" looks like for subjective tasks - such as whether a workout fits a user's age, injury history, and goals - then building the evaluation frameworks that enforce those standards end-to-end - Analysing where agents fail, identifying patterns in those failures, and addressing the ones that matter most - Designing monitoring and guardrails so agents don't fail silently in production Qualifications - Strong Python skills - Solid software engineering fundamentals - you ship production code, not just prototypes - Experience building AI agents - tool orchestration, multi-step workflows, context management, retrieval systems - Experience building recommendation or scoring systems on structured data - collaborative filtering, calibration, rule-based systems, or hybrid approaches - Strong analytical instincts - you can define what "correct" means for a subjective recommendation, design metrics that reflect user experience, and spot when a metric is lying to you - You've fine-tuned or distilled language models to hit cost and latency targets - You know how to make retrieval work - embeddings, vector search, and semantic similarity - Experience with classification and regression on structured data - user health signals are messy and continuous - Ready to learn a new domain deeply - you'll pick up exercise physiology, recovery science, and training principles on the job Requirements - Experience building multi-agent systems - Background in health, fitness, or wellness - Experience with active learning or human-in-the-loop workflows - Experience with time-series analysis or forecasting (fitness data is mostly sequences over time) - Background in ML ops - model versioning, serving infrastructure, pipeline orchestration Benefits - Work on a fast-growing AI-driven fitness and lifestyle product - AI and LLMs are core not only to the product, but also to day-to-day engineering work - Unique intersection of B2C scale and large B2B partnerships - Growth comes from tackling complex technical challenges, deep ownership, and broad influence - Small, people-oriented team with a strong engineering culture Company Description We look forward to receiving your CV and learning more about your experience! Dear Candidates, due to a high volume of applications, only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us!

Senior Manager, Market Intelligence - Capital One Software (Remote) Summary: This position is a Senior Manager of Competitive Intelligence on the Strategy team of Capital One Software, the enterprise B2B software division of Capital One. Our strategy team focuses on solving the most pressing strategic questions across Capital One Software and supports projects across all functional areas within the context of data security and data management. Projects include assessing market and competitive dynamics, researching best-in-class practices across functions/topics and developing tailored plans for how to implement, developing destination state strategies that drive enduring and profitable growth, and developing materials for Board and SLT meetings. You will work closely with Capital One Software leadership to lead our market intelligence and competitive analysis efforts and decode the complex landscapes of data management and data security software. You will apply your deep industry knowledge, strategic thinking, and executive communication skills to provide the Capital One Software leadership team and key stakeholders across GTM, Product, and Marketing with the latest market and competitor insights and support development of a winning strategy. General Responsibilities: - Conduct in-depth market industry research: Be an expert on the complex and dynamic market landscape of data security, data management, and adjacent domains, including topics like market trends and disruptive technological advances - Know the competitive landscape : Monitor competitors' business models, product offerings, pricing strategies, and M&A activities to have a consistent pulse on the competitive landscape to inform strategy recommendations, GTM motions, and product roadmap; identify "white space" in the market where competitor offerings are failing to meet evolving enterprise needs - Deliver executive briefings: Serve as a trusted advisor to senior leaders by delivering insight-backed briefings and strategic recommendations based on key industry trends and competitive dynamics; be the "go to" person for market insights across the Software business - Cultivate cross functional relationships : Build and maintain cross-functional partnerships with stakeholders across Capital One Software including Strategy, GTM, Product, and Product Marketing - Build out market and competitive intelligence program : as a new functional role for Capital One Software, you will get to build the competitive intelligence program from the ground up, shaping how it is developed Basic Qualifications: - At least 5 years of experience in competitive intelligence or product marketing - At least 3 years of experience analyzing industry trends and competitive dynamics of the data security or data management industry - At least 3 years of developing and presenting materials to senior leaders Preferred Qualifications: - 6+ years of experience helping organizations solve key business questions and supporting growth strategy decisions in a constantly changing environment - Knowledge of the data and AI security market, including vendor offerings and market trends - 6+ years experience working in the data or AI security space, ideally in a competitive intelligence, product marketing, or similar role where market and competitive intelligence was core to your day to day At this time, Capital One will not sponsor a new applicant for employment authorization for this position The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $161,500 - $184,300 for Sr. Manager, Marketing McLean, VA: $177,700 - $202,800 for Sr. Manager, Marketing New York, NY: $193,800 - $221,200 for Sr. Manager, Marketing Richmond, VA: $161,500 - $184,300 for Sr. Manager, Marketing San Francisco, CA: $193,800 - $221,200 for Sr. Manager, Marketing Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).