Manager I, Technical Account Management - Chicago/Denver

Databricks

REQ ID - FEQ327R483 Location(s): Central US (Texas, Illinois, St. Louis) While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in the Central United States. The Databricks Field Engineering team activates and accelerates the value our customers get from their data and AI.  Major Enterprises in the U.S. are leveraging the Databricks Data Intelligence Platform to securely deliver AI’s potential to every audience, at scale.  Our Field Engineering team is hiring a dynamic Solutions Architecture leader who is not only focused on team culture but also can translate their team vision into a tangible and effective strategy in order to drive our customers’ Data + AI experiences forward. As a Field Engineering Manager, you will manage a team of Solutions Architects (SAs) for the Manufacturing Segment of Databricks’ Field Engineering organization. You will lead a dynamic team of pre-sales professionals focusing on enterprise software, big data/analytics, data engineering, data science, and AI. You will partner with Sales (and other Field Engineering technical segments) to increase revenue and help customers become wildly successful. You'll scale and maintain an outstanding Field Engineering team that is efficient in its operations to help accelerate Databricks’ growth in the market. The impact you will have: * You will hire, train, grow, and manage a bar-raising team of Solutions Architects for a company in high-growth mode. * Make your customers extremely successful with Databricks and provide outsized value to their businesses. * You will maintain a robust hiring pipeline at all times. * Establish relationships across the business to make your customers and team successful. * Partner with sales leadership to hit sales and consumption targets while ensuring customer success * Keep your team of SAs ahead of the technical curve. You will make sure that your team is continuously learning, maintaining advanced knowledge of the data+AI technology stack, and working to provide our customers with the most comprehensive solutions for their needs What we look for: * 3+ years of experience building and leading technical pre-sales teams - hiring, onboarding, coaching, and enabling pre-sales professionals * 7+ years of experience in the Data + AI space with a technical product (i.e., data warehousing, big data, data science, machine learning, or AI). * A deep technical understanding of the impact that Data + AI can drive within various industry segments * Technical competence to earn the trust of Engineering talent and leadership at Databricks. * Trusted advisor to technical executives who guide strategic data infrastructure decisions. * Lead a team through best practices for technical qualification, proof of concepts, architecture discussions, and product demonstrations. * Experience hiring pre-sales professionals, ramping them up to be successful, promoting them into larger roles, identifying and addressing performance issues, and implementing improvement plans.  * Create a positive team culture and help foster working relationships between Field Engineering, Sales, and other important internal partners. * Experience working with other teams such as Product Management, Engineering, and Customer Success. * Demonstrated architectural influence. Able to influence and review complex architectures, guiding your team and customers toward ideal solutions that scale.   Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.   Zone 2 Pay Range $172,500—$237,150 USD About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Agoda

About Agoda At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.     Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.   No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.   About Rocket Travel by Agoda Rocket Travel by Agoda is a travel technology company founded in 2012 under our flagship consumer facing product, rocketmiles.com. Since then, we have evolved to partner with some of the largest consumer travel brands in the world creating white-label solutions that allow customers to earn and redeem miles and points for booking hotels, rental cars, flights and activities. Our global partnerships range from world-class airlines to international banks to large-scale shopping platforms.  We help our partners develop successful go-to-market strategies through marketing expertise and data to support their overall growth.  We attract customers from every corner of the globe with a seamless user experience that's built in-house from ideation to finished product: our team includes front- and back-end developers, customer service, data analysts, designers, marketers, accountants, partnership sales, and managers.  Rocket Travel by Agoda is dedicated to creating a diverse, equitable, and inclusive workplace where everyone has the opportunity to reach new heights in their career, and expand their knowledge working alongside talented, dedicated colleagues. We encourage all applicants with a touch of wanderlust to apply to our team, as we work toward helping our travelers reach the vacation of their dreams.  About The Team:   In Product, ideas come alive. The world is moving fast so our culture empowers ownership and minimal bureaucracy. That’s the environment that enables you to do what you think is right – and quickly. Our Product Managers move fast, fail, learn, and pivot. Being a product-centric organization, our team works cross-functionally to build products from conception to launch by bringing together engineering and business worlds. Rocket Travel's Product Managers work closely with executive leadership and have high visibility among partners; they have direct impact on growth and strategy.    The Opportunity: As our Senior Product Manager, White Label Loyalty Partners, you’ll shape the future of loyalty experiences that delight customers, drive white label partner growth, and scale our loyalty platform business globally.  What You’ll Do: Strategy & Analysis  * Lead competitive-landscape and market analyses to identify new loyalty growth opportunities.  * Define product strategy and success metrics using quantitative methods and data-driven insights.  * Analyze user requirements and inform roadmap decisions.  Execution & Delivery  * Drive end-to-end product development: conceptualize, launch, and optimize loyalty features and solutions.  * Build and run experiments to test performance, measure impact, and iterate rapidly.  * Develop engineered processes and innovative technologies to improve organizational efficiency.  Collaboration & Influence  * Partner with Engineering, UX, Marketing, and Legal teams to deliver cutting-edge travel solutions.  * Liaise with senior internal and external stakeholders to align on vision, priorities, and go-to-market plans.  * Collaborate across regions, product areas, and functions to solve some of the world’s most difficult loyalty challenges.   What You’ll Need to Succeed:  * Bachelor’s degree in technical field (i.e. Computer Science, Statistics, Engineering, Mathematics, or similar quantitative discipline).  * Proven ability to leverage analytics and quantitative methods to inform and influence decision-making  * Strong data skills   * Bias for action to unlock business value for our partners and RTA  * Excellent communication skills (both verbal and written in English) with proven ability to convey complex messages clearly and with conviction to different stakeholders  * Experience developing and launching products  * Experience leading global product vision, go-to-market strategy and design discussions.  * Entrepreneurial and analytical skills; effective at breaking down complex problems and driving and managing change  * Hands-on mentality  It’s great if you have:  * MBA or Master’s degree in Math, Economics, Computer Science or Statistics  * Data tools – SQL, Python, R, or equivalent      To all recruitment agencies: Agoda does not accept third party resumes. Please do not send resumes to our jobs alias, Agoda employees or any other organization location. Agoda is not responsible for any fees related to unsolicited resumes.    There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. In addition to a competitive base salary, roles are eligible to be considered for an annual bonus and equity grant. The bonus and base range for Chicago - metro area is $137,500 - 187,000         Diversity at Rocket Travel by Agoda Rocket Travel by Agoda is dedicated to creating a diverse, equitable, and inclusive workplace where everyone has the opportunity to reach new heights in their career. We encourage all applicants looking to expand their knowledge working alongside talented, dedicated colleagues to apply to our team.    Note on general employment requirements Candidates should be authorized to accept employment in the US from any employer, should be willing to start within three weeks of accepting an offer, and must be able to work a hybrid work schedule with 2-3 days per week in our Chicago office.   Equal Opportunity Employer   At Rocket Travel by Agoda, we pride ourselves on being companies represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Rocket Travel by Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunities regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details, please read Rocket Travel by Agoda’s privacy policy. Find our applicant policy here: https://www.rockettravel.com/privacy-policy   E-Verify Program Participant We are an E-Verify employer – meaning that your Form I-9 information will be provided to the federal government to confirm that you are authorized to work in the U.S. For more information, please view: E-Verify Participation Poster (English/Spanish) and IER Right to Work Poster (English/Spanish)       PLEASE REVIEW OUR HIRING PROCESS GUIDELINES BEFORE YOUR INTERVIEW — CLICK HERE TO LEARN HOW INTERVIEWING AT AGODA WORKS.     DISCOVER MORE ABOUT WORKING AT AGODA * Agoda Careers https://careersatagoda.com * Facebook https://www.facebook.com/agodacareers/ * LinkedIn https://www.linkedin.com/company/agoda * YouTube https://www.youtube.com/agodalife   Equal Opportunity Employer  At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics. We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy. Disclaimer We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.

Thoughtworks

Data scientists at Thoughtworks are strategic leaders who spearhead data-driven initiatives, tackle complex business challenges and uncover transformative insights. They possess a deep understanding of a client's business ecosystem and partner with executives to align technology strategies with business objectives. By contextualizing emerging trends and Thoughtworks' exploration, they expand the impact of data science within the client organization. Drawing upon their profound expertise in statistics, modeling, machine learning algorithms and data mining methodologies, our data scientists integrate this knowledge with a comprehensive understanding of related domains to deliver tangible business value. They devise strategies, execute plans, operationalize solutions and articulate the business outcomes achieved. Effective collaboration is paramount, as they adeptly convey their discoveries to both technical and non-technical stakeholders. They stay abreast of industry advancements, ensure data quality and security, and provide mentorship to junior team members. As a data scientist at Thoughtworks, you'll leverage your deep technical knowledge to solve complex business problems, making a significant impact on client success. JOB RESPONSIBILITIES * You will establish a clear vision and direction for the AI paradigm/practices, aligning it with the overall business strategy. * You will collaborate with executive level stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality for enabling AI and machine learning. * You will be responsible for the overall AI system design, problem framing and governance, identifying and managing risks and issues. * You will identify and prioritize data science projects that align with business objectives and ensure that projects are completed on time and within budget. * You will design experiments for the team to rapidly test ideas and assumptions, and identify future courses of action. * You will get involved with data science delivery whenever needed. * You will communicate technical findings and insights to stakeholders in a clear, easy and concise way, keeping the stakeholders in mind. * You will build and drive the growth of the data science community along with promoting a culture of data literacy within the organization. * You will address ethical concerns and adhere to ethical guidelines using FATTER AI (fairness, accountability, transparency, trustworthiness, explainability, responsibility). * You will work with CD4ML practices and data versioning tools. JOB QUALIFICATIONS TECHNICAL SKILLS * You have experience in the Retail and Customer Analytics industry. * You have experience with defining strategy/vision for the data science function, aligning it with the overall business strategy. * You have experience in leading the analysis and modeling of different datasets and overseeing an inception to deploying and productionizing the models. * You have experience with statistical modeling, machine learning, deep learning, optimization and other data science techniques to implement end-to-end data science projects. * You understand the specialized areas of AI and possess a speciality with at least one of them (i.e.: NLP/computer vision/Generative AI, etc)tc). * You have experience with R, Python or equivalent statistical/data analysis tools and can write production-ready code that is easy to evolve and test. * You gather and preprocess large volumes of structured and unstructured data from various sources, ensuring data quality and integrity. * You develop and implement machine learning models, algorithms and predictive analytics to solve specific business problems or improve existing processes. * You evaluate model performance using appropriate metrics and validate models to ensure robustness and reliability. * You interpret and effectively communicate findings and insights to non-technical stakeholders through reports, presentations and visualizations. PROFESSIONAL SKILLS * You understand the importance of stakeholder management and can easily liaise between clients and other key stakeholders throughout projects, ensuring buy-in and gaining trust along the way. * You are resilient in ambiguous situations and can adapt your role to approach challenges from multiple perspectives. * You don’t shy away from risks or conflicts, instead you take them on and skillfully manage them. * You are eager to coach, mentor and motivate others and you aspire to influence teammates to take positive action and accountability for their work. * You enjoy influencing others and always advocate for technical excellence while being open to change when needed. * You are a proven leader with a track record of encouraging teammates in their professional development and relationships. * Cultivating strong partnerships comes naturally to you; You understand the importance of relationship building and how it can bring new opportunities to our business. OTHER THINGS TO KNOW LEARNING & DEVELOPMENT There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys. RESPONSIBLE USE OF AI IN RECRUITMENT At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions. Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers. We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment. ACCOMMODATIONS Thoughtworks is committed to providing reasonable accommodations to qualified applicants with disabilities or sincerely held religious beliefs, practices, or observances, in accordance with applicable law. If you need a reasonable accommodation to complete any part of the application process, participate in interviews, or otherwise engage in the hiring process, you may request an accommodation by completing this form or speaking with your recruiter. Requests may be made at any stage of the application or interview process. Once a request is received, Thoughtworks will engage in an interactive process with the applicant to determine an appropriate accommodation. Applicants are not required to disclose medical diagnoses or detailed personal information in order to request an accommodation. All accommodation requests will be handled in a timely, confidential, and respectful manner, consistent with applicable legal requirements. Requesting an accommodation will not negatively affect your consideration for employment. Company prohibits retaliation against any applicant for requesting an accommodation or participating in the accommodation process. Accommodations made during the recruitment process are not a guarantee of future or continued accommodations once hired. If you are hired by Thoughtworks, and require an accommodation to perform the essential functions of your role, you may be asked to engage in our reasonable accommodation process. CANCELLATIONS As a technology consultancy, the projects we undertake are subject to change based on client needs and agreements. While we strive for consistency, please be aware that project scope or availability may shift, or projects may even be cancelled, during the recruitment and selection process, which is often outside of our direct control. Should the project related to this vacancy be significantly altered or cancelled, all impacted candidates will be promptly and duly informed of the change ABOUT THOUGHTWORKS Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary. SALARY Benefits: https://www.thoughtworks.com/en-ca/careers/benefits Salary $182,000—$320,000 USD See here our AI policy.