12 Abbvie jobs in South San Francisco

CSQ326R172

At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment.

This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.

The impact you will have:

• Engage with Solutions Architects to understand the full use case demand plan for prioritised customers
• Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts
• Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks
• Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations
• Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise
• Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals
• Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs
• Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams:
• Main use cases moving from 'win' to production
• Enablement / user growth plan
• Product adoption (strategy and activities to increase adoption of Databricks' Lakehouse vision)
• Organic needs for current investment (e.g. cloud cost control, tuning & optimization)
• Executive and operational governance
• Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM

• 5+ years of experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers
• Programming experience in Python, SQL or Scala
• Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role
• Understanding of solution architecture related distributed data systems
• Understanding of how to attribute business value and outcomes to specific project deliverables
• Technical program, or project management including account, stakeholder and resource management accountability
• Experience resolving complex and important escalation with senior customer executives
• Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects
• Track record of overachievement against quota, Goals or similar objective targets
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Can travel up to 30% when needed

Stanford University, the Personalized Integrative Medicine Laboratory in the Radiology Department ( ) and the Urologic Cancer Innovation Laboratory ( ) is seeking a creative, highly motivated, Research and Development Scientist and Engineer 1 with an interest in developing platforms that integrate and deploy multimodal machine learning methods in clinical applications.

The project is focused on developing a software platform to deploy our existing ultrasound-MRI models for prostate cancer detection in clinical practices. The position requires managing complex multi-modal data sets including clinical assessments, laboratory results, radiological images and pathological findings, to develop a user-friendly software that will encompass existing approaches and allows for easy integration of new models. The successful candidate will join the Department of Radiology at Stanford University and will work with a multi-disciplinary team of clinicians, statisticians, computer scientists, and trainees. This position is available immediately and has a 1-year duration, with possibility of extension based on funding availability and mutual agreement.

Duties include*:

• Design and develop specialized software and tools; coordinate detailed phases of work related to responsibility for part of a major project.
• Develop technical and methodological solutions to complex engineering/scientific problems requiring independent analytical thinking and advanced knowledge.
• Develop creative new or improved equipment, materials, technologies, processes, methods, or software important to the advancement of the field.
• Contribute technical expertise, and perform basic research and development in support of programs/projects; act as advisor/consultant in area of specialty.
• Optional: Contribute to portions of published articles or presentations; prepare and write reports; draft and prepare scientific papers.
• Provide technical directions to other research staff, engineering associates, technicians, and/or students, as needed.

* - Other duties may also be assigned.

DESIRED QUALIFICATIONS:

• Candidates should have prior experience in software and platform development and C++/python/docker/UIX programming, and be familiar with toolkits, e.g., ITK, opencv, sklearn.
• Candidate should have prior experience with Designing User Interfaces, including image visualization and connect platforms with docker containers.
• Candidates with experience in radiomics, segmentation, image registration are strongly encouraged to apply.
• Candidates should have demonstrated ability to work independently, attention to details, be dedicated and self-motivated.
• Collaborative team spirit, strong communication skills, positive attitude and adherence to highest ethical principles are necessary to be considered.
• The candidate should have knowledge and experience in machine learning and deep learning, visualization, platform implementation.
• The preferred candidate would also have experience with medical image processing, and traditional signal processing techniques.

EDUCATION & EXPERIENCE (REQUIRED):

Bachelor's degree and three years of relevant experience, or combination of education and relevant experience. Preferred candidates will have an M.S. with relevant experience or Ph.D. in Biomedical Engineering, Electrical Engineering, Biomedical Informatics, Computer Science or related fields.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

• Thorough knowledge of the principles of engineering and related natural sciences.
• Demonstrated project management experience.
  

PHYSICAL REQUIREMENTS*:

• Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds.
• Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully.
• Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, use a telephone, writing by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects that weigh > 40 pounds.

* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

WORKING CONDITIONS:

• May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights of 10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather.
• May require travel.
  

WORK STANDARDS:

• Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
• Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
• Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, .

The expected pay range for this position is $127,211 to $154,222 per annum.

Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form .

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Stanford University, the Personalized Integrative Medicine Laboratory in the Radiology Department ( ) and the Urologic Cancer Innovation Laboratory ( ) is seeking a creative, highly motivated, Research and Development Scientist and Engineer 1 with an interest in developing platforms that integrate and deploy multimodal machine learning methods in clinical applications. The project is focused on developing a software platform to deploy our existing ultrasound-MRI models for prostate cancer detection in clinical practices. The position requires managing complex multi-modal data sets including clinical assessments, laboratory results, radiological images and pathological findings, to develop a user-friendly software that will encompass existing approaches and allows for easy integration of new models. The successful candidate will join the Department of Radiology at Stanford University and will work with a multi-disciplinary team of clinicians, statisticians, computer scientists, and trainees. This position is available immediately and has a 1-year duration, with possibility of extension based on funding availability and mutual agreement. Duties include*: Design and develop specialized software and tools; coordinate detailed phases of work related to responsibility for part of a major project. Develop technical and methodological solutions to complex engineering/scientific problems requiring independent analytical thinking and advanced knowledge. Develop creative new or improved equipment, materials, technologies, processes, methods, or software important to the advancement of the field. Contribute technical expertise, and perform basic research and development in support of programs/projects; act as advisor/consultant in area of specialty. Optional: Contribute to portions of published articles or presentations; prepare and write reports; draft and prepare scientific papers. Provide technical directions to other research staff, engineering associates, technicians, and/or students, as needed. * - Other duties may also be assigned. DESIRED QUALIFICATIONS: Candidates should have prior experience in software and platform development and C++/python/docker/UIX programming, and be familiar with toolkits, e.g., ITK, opencv, sklearn. Candidate should have prior experience with Designing User Interfaces, including image visualization and connect platforms with docker containers. Candidates with experience in radiomics, segmentation, image registration are strongly encouraged to apply. Candidates should have demonstrated ability to work independently, attention to details, be dedicated and self-motivated. Collaborative team spirit, strong communication skills, positive attitude and adherence to highest ethical principles are necessary to be considered. The candidate should have knowledge and experience in machine learning and deep learning, visualization, platform implementation. The preferred candidate would also have experience with medical image processing, and traditional signal processing techniques. EDUCATION & EXPERIENCE (REQUIRED): Bachelor's degree and three years of relevant experience, or combination of education and relevant experience. Preferred candidates will have an M.S. with relevant experience or Ph.D. in Biomedical Engineering, Electrical Engineering, Biomedical Informatics, Computer Science or related fields. KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED): Thorough knowledge of the principles of engineering and related natural sciences. Demonstrated project management experience. PHYSICAL REQUIREMENTS*: Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds. Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully. Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, use a telephone, writing by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects that weigh > 40 pounds. * - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job. WORKING CONDITIONS: May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights of 10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather. May require travel. WORK STANDARDS: Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations. Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned. Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, . The expected pay range for this position is $127,211 to $154,222 per annum. Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website ( ) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form . Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.

Position: Financial Technology Partners is seeking Analysts for January 2026.

Firm Overview

Financial Technology Partners is one of the most successful boutique investment banks on Wall Street. Headquartered in San Francisco with additional offices in NYC and London, FT Partners has advised on some of the most meaningful transactions in the high-growth Financial Technology sector in recent years. We offer a full suite of financial and strategic advisory services, including merger and acquisition advisory, private capital raising and capital markets advisory. The Financial Technology sector is a dynamic industry that encompasses the convergence of financial services and technology. We are a 200+ global firm that prides itself on having an extremely collegial and energetic culture. Every member of the organization is expected to meaningfully contribute to the firm's success. Senior bankers at the firm are formerly of Goldman Sachs, JP Morgan, Evercore and Barclays.

Role Description

The Analyst program is designed to equip the next generation of FinTech Investment Bankers, VCs, and Private Equity Professionals with the tools and skills needed to become leaders in the space. In working at FT Partners, you will become an expert in FinTech while also learning the "in and outs" of M&A and private capital raising. If you are an ambitious, recent college graduate and are passionate about FinTech - we would love to meet you.

What are the unique opportunities of this role?

This is an unparalleled opportunity to work at an elite investment bank - and the only one exclusively dedicated to FinTech. From day one you will be on the front lines meeting with C-Suite level professionals from the top FinTech and Crypto companies as you assess product-market-fit, perform in-depth financial due-diligence, and conduct broader market research.

In this role, you will:

• Perform due-diligence on high-growth FinTech companies including conducting various valuation analyses (e.g. DCFs, public comparables, precedent transactions) for companies across FinTech verticals and business models
• Meet with FinTech founders, venture capitalists, private equity firms, and traditional finance executives in order to understand strategy, product roadmaps, acquisition interests, and capital raising / liquidity needs
• Leverage FT Partners' proprietary database and alternative data sources to identify emerging trends in FinTech
• Research significant M&A and private capital raising transactions and publish high-quality / high-visibility reports
• Work side-by-side with deal teams in helping to assess valuation, product differentiation, and investor / buyer rationales
• Develop high-impact, client facing deliverables including sell-side pitches, views on market trends, and analyses of investment / acquisition activity across FinTech
• Assist senior bankers in developing and implementing business development strategies and facilitating dialogue with CEO/CFO/Board level contacts

• The start date for this position will be January 2026
• Recent graduate or graduating by December 2025
• All degrees considered, Finance, Economics or Accounting preferred
• GPA 3.40 or greater
• Strong interest in finance, consulting, research, and FinTech
• Exceptional writing and verbal communication skills
• Strong work ethic and a drive for excellence
• Team player, self-motivated, and entrepreneurial
• Strong data management and research skills
• High attention to detail
• U.S. work authorization required. FT Partners will not sponsor applicants for work visas at application or in the future.

• Managing Partner and Managing Directors formerly of Goldman Sachs, JP Morgan, Evercore and Barclays
• Award-winning execution; Investment Bank of the Year / Boutique of the Year Awards (among many others)
• Executing both billion dollar and early stage / high-growth VC transactions
• Excellent career path, strong and competitive compensation
• Unparalleled deal flow with premier client base
• Access to world-class executives at high-growth companies
• Dominant footprint in the one of largest sectors: financial technology
• Top-notch financial sponsor relationships
• Close-knit, rapidly growing team

• Deribit's $4.3 billion Sale to Coinbase
• Divvy's $.5 billion Sale to Bill.com
• AvidXchange's 2.2 billion Sale to TPG & Corpay
• GreenSky's 2.2 billion Sale to Goldman Sachs
• Truebill's 1.3 billion Sale to Rocket Companies
• Revolut's 1.3 billion Financing at a 33 billion Valuation
• Finicity's 1 billion Sale to Mastercard
• Intermex's 500 million Sale to Western Union
• SpotOn's 300 million Series F Financing at a 3.6 billion Valuation
• Bilt's 250 million Financing at a 10.75 billion Valuation
• Lumin Digital's 200 million Growth Financing
• Stash's 146 million Series H Financing
• CloudWalk's 150 million Financing at a ~ 2.2 billion Valuation