Leading Ivalua implementation projects and procurement transformation programs Designing and overseeing solution architecture from both a functional and technical perspective Configuring and overseeing the design and implementation of Ivalua solutions Leading and developing consulting teams and the delivery organization Driving commercial success and supporting business development activities Developing practice capabilities and contributing to thought leadership in procurement transformation

To be well-prepared for your path as a (Senior) Manager Ivalua, you bring the following qualifications:

A completed degree and at least 5 years of professional relevant work experience within Ivalua implementations Passion for consulting, as well as for stakeholder management, team leadership, and driving digital procurement transformation across organizations Expertise in the Ivalua platform, including deep knowledge of multiple modules, advanced configuration capabilities, and experience working within ERP ecosystems (e.g., SAP, Oracle), supported by integration expertise (APIs, middleware), understanding of SaaS architecture, and ideally Ivalua L3 certification A working style characterized by confident presence as a trusted advisor and representative for clients and internal teams

Important Information Before Departure:

Start: By agreement - always at the beginning of a month Working hours: Full-time (40h); 30 vacation days Employment type: Permanent Area: Consulting Language: Fluent in English & German at least B2 Flexibility & willingness to travel Other: A valid work permit; if needed, we can apply for the work permit as part of our recruiting process. The procedure takes time and may affect the start date.

At a Glance:

As a technology and business partner, MHP digitizes its clients' processes and products and supports them in their IT transformations across the entire value chain. As a pioneer in digitalization in the Mobility and Manufacturing sectors, MHP transfers its expertise to a wide range of industries and serves as the premium partner for thought leaders on the journey toward a Better Tomorrow.

Worldwide, MHP serves over 300 clients, including leading corporations and innovative mid-sized companies. MHP provides both operational and strategic consulting, delivering proven IT and technology expertise as well as specific industry knowledge. Operating as OneTeam, MHP works internationally, with headquarters in Germany and subsidiaries in the USA, UK, Romania, and China.

For 25 years, MHP has been shaping the future together with its clients. Over 3,000 MHPers are united by the pursuit of excellence and sustainable success. This commitment drives MHP forward - today, tomorrow, and in the future.

MHP: DRIVEN BY EXCELLENCE.

Exclusive look behind the scenes:

At MHP, you grow continuously in an innovative and supportive environment. This makes us the perfect sparring partner for your career - both for professional input and networking opportunities. Among other things, we offer you:

Appreciation: We support and value our colleagues as they are and celebrate our successes together. Creativity: We always welcome new ideas and fresh impulses. Flexibility: In terms of time and location - depending on the project, from home, in the office, or at the client site. Growth opportunities: With us, you have the chance to develop in your tasks, your expertise, and your responsibilities.

A comprehensive overview of our benefits can be found [here](https://www.mhp.com/de/karriere/berufserfahrene/consulting).

XML job scraping automation by YubHub

The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.

What we look for:

• Extensive experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 10% of the time

[Preferred] Databricks Certification but not essential

XML job scraping automation by YubHub

As a Program Manager, you will lead flagship programs including the Claude Campus Ambassador Program and Claude Builder Clubs, while developing new initiatives that embody Anthropic's mission of helping humanity navigate the AI transition.

This is a high-ownership role where you will define the vision, build the infrastructure, and personally drive execution for how Anthropic engages with student communities globally. Beyond keeping programs running smoothly, you will make real strategic decisions and own the student narrative company-wide.

We are looking for someone who thrives with significant autonomy, can operate effectively with ambiguity, and has the judgment to make consequential calls about where we invest our resources.

Responsibilities:

• Lead the Claude Campus Ambassador Program, recruiting, training, and supporting student ambassadors at universities worldwide

• Build and scale Claude Builder Clubs to foster student communities around AI development

• Design and execute brand activations and event programming tailored for student audiences

• Develop overall strategy and positioning for Claude with the student persona

• Manage student hackathon partnerships at scale, including sponsorships, judging, and mentorship programs

• Lead outreach efforts to grow Claude awareness and usage on university campuses globally

• Develop new programs that apply Anthropic's mission of helping humanity through the AI transition to the student audience

• Collaborate with product, sales, developer relations, marketing and communications teams to ensure student programs align with broader company goals

• Track and report on program metrics, continuously optimizing for impact and scale

Qualifications:

• 5+ years of experience in program management, developer relations, community building, or campus engagement, with increasing scope and ownership over time

• Proven track record of building and scaling ambassador or community programs in education or edtech space

• Track record of making strategic decisions with incomplete information and delivering results

• Experience operating autonomously and driving outcomes without heavy oversight

• Strong communication skills,you will represent Anthropic to university leadership, partners, and across internal teams

• Proven ability to manage complex, multi-stakeholder initiatives while keeping execution sharp

• Comfort with travel for campus events and hackathons (estimated 5-10%)

Nice-to-haves:

• Experience building campus or student programs at a major technology company

• Background in hackathon organization or developer community ecosystems

• Technical fluency or hands-on experience with AI/ML

• International program management experience across multiple regions

• Experience with brand strategy or experiential marketing

Annual compensation range for this role is $255,000-$320,000 USD.

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you’re interested in this work.

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you’re ever unsure about a communication, don’t click any links,visit anthropic.com/careers directly for confirmed position openings.

How we’re different:

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact , advancing our long-term goals of steerable, trustworthy AI , rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

XML job scraping automation by YubHub

You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases. You will work with engagement managers to scope variety of professional services work with input from the customer.

Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications. Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

Provide an escalated level of support for customer operational issues. You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

The ideal candidate will have 6+ years experience in data engineering, data platforms & analytics, comfortable writing code in either Python or Scala, working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one, deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals, familiarity with CI/CD for production deployments, working knowledge of MLOps, design and deployment of performant end-to-end data architectures, experience with technical project delivery - managing scope and timelines, documentation and white-boarding skills, experience working with clients and managing conflicts, build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.

Travel to customers 20% of the time.

XML job scraping automation by YubHub

You will guide and get involved to enhance your team's effectiveness; be an expert at communicating complex, business value-focused solutions; support complex sales cycles; and build relationships with key stakeholders in your customers' companies.

Key responsibilities include:

• Managing hiring, building the pre-sales team of Solutions Architects
• Rapidly scaling the designated Field Engineering segment organisation without sacrificing quality
• Building a collaborative culture within a rapid-growth team

To embody and promote Databricks' customer-obsessed, teamwork, and diverse culture

• Supporting increase Return on investment of SA involvement in sales cycles by 2-3x over 18 months
• Promoting a solution and value-based selling field-engineering organisation
• Displaying an understanding of business needs and revenue potential for accounts in the assigned region
• Building Databricks' brand in partnership with the Marketing and Sales team

XML job scraping automation by YubHub

Duolingo's tenets of gamification, delightful design, brand equity, and character IP are key levers you will have access to grow an ad offering that delivers for partners and improves the free user experience.

This role reports into our Director of West Coast Sales, where you will work in a high-velocity environment to scale revenue by building on Duolingo Ads' foundation, engaging your network to generate demand and drive value to Duolingo and our advertising partners.

You will:

• Own and grow a portfolio of advertisers through prospecting, pitching, closing, and renewal
• Drive revenue growth by generating demand within key verticals by building a robust new business pipeline
• Work effectively and smoothly with key members of the ads team across biz, product, design, and engineering to advance deals
• Share actionable marketplace feedback to inform ads leaders, advance deals, and shape products
• Establish and implement efficient, repeatable sales strategies and operational processes, prioritizing accounts and leading key relationships effectively
• Make data-informed decisions around pricing, packaging, and prioritization
• Deliver clear, persuasive pitches and proposals tailored to advertiser goals using internal and external data
• Contribute positively to team culture and shared goals

You have:

• 5-8 years of experience in direct ad sales
• Success selling video and native/custom ad formats in premium, digital environments
• Ability to engage senior decision makers at clients and agencies while also rolling up your sleeves to build sales collateral, troubleshoot issues, and directly bring in revenue
• Consistent track record of building new business into lasting, mutually beneficial ad partnerships with top-tier advertisers
• Strong understanding of ad tech and mobile app ecosystems
• Understanding of the Duolingo product and the freemium business model
• Expertise in using data to derive insights and assess the performance of ad campaigns
• Experience building standard and innovative ad buying agreements
• Exceptional communication and presentation skills
• Ability to operate at a high level with a lot of ambiguity in a fast-paced environment

Salary Range: $120,700-$163,300 USD

XML job scraping automation by YubHub

The ideal candidate will have 8+ years of experience in enablement, GTM strategy, or partner ecosystems, with a proven track record of building programs that move needle-metrics not just engagement metrics. They will have a deep understanding of the B2B SaaS sales funnel and the specific levers that drive partner-sourced vs. partner-influenced revenue.

The successful candidate will be able to use Salesforce and PRM data to build a narrative around enablement's ROI, identifying exactly where our investment in 'scaled training' is yielding the highest revenue dividends. They will also be able to navigate ambiguity, identify 'leaks' in the partner engine, and solve them with minimal oversight.

We offer a competitive salary and meaningful equity, comprehensive medical, dental, and vision coverage, regular compensation reviews, unlimited access to Claude Code and best-in-class AI tools, flexible paid time off policy, paid parental leave program, 401k plan & match, in-office bicycle storage, and fun events for Intercomrades, friends, and family!

The base salary range for candidates within the San Francisco Bay Area is $157,500 - $191,000. Actual base pay will depend on a variety of factors such as education, skills, experience, location, etc. The base pay range is subject to change and may be modified in the future. All regular employees may also be eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs).

We have a hybrid working policy, expecting employees to be in the office at least three days per week. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home.

We have a radically open and accepting culture at Intercom. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values.

XML job scraping automation by YubHub

This is what we do every day at Databricks.

We are looking for a creative, delivery-oriented Enterprise Account Executive to join the team in the Nordics to maximise the phenomenal market opportunity that exists for Databricks.

As an Account Executive, you know how to sell innovation and value to existing customers, identify new use cases and grow consumption and can guide deals forward to compress decision cycles.

You love understanding a product in depth and are passionate about communicating its value to customers and partners.

You will be offered huge potential for career progression with the pace of the team's growth.

You will report to the Sales Director for Sweden.

The impact you will have:

Assess your territory and develop a successful execution strategy Drive quarter-on-quarter consumption growth in existing accounts Exceed activity and quarterly revenue targets Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce Identify new use case opportunities and showcase value to existing customers Promote the value of the Databricks' Data Intelligence Platform Orchestrate and utilise our field engineering teams to ensure valuable outcomes for clients Build and demonstrate value with all engagements to guide successful negotiations to close point

What we look for:

Extensive understanding of the data platform, open source and cloud ecosystems Highly skilled in prospecting research and ability to map out key stakeholders Demonstrated success in Value Selling and developing a mutual action plan Ability to influence decision-making and strategy with customer leadership teams Ability to establish credibility with the C-suite Adept in selling to technical buyers Experience growing consumption and closing commit deals in a direct sales role Mastery of MEDDPICC Bachelor's Degree or relevant work experience Fluency in English and in Swedish is required

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases

• Work with engagement managers to scope variety of professional services work with input from the customer

• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications

• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

• Provide an escalated level of support for customer operational issues.

• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics

• Comfortable writing code in either Python or Scala

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps

• Design and deployment of performant end-to-end data architectures

• Experience with technical project delivery - managing scope and timelines.

• Documentation and white-boarding skills.

• Experience working with clients and managing conflicts.

• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.

• Travel to customers 20% of the time

Databricks Certification

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 base 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 anticipated 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 1 Pay Range $180,656-$248,360 USD

Zone 2 Pay Range $180,656-$248,360 USD

Zone 3 Pay Range $180,656-$248,360 USD

Zone 4 Pay Range $180,656-$248,360 USD

XML job scraping automation by YubHub

The successful DSA drives a superior customer experience by delivering technology solutions tailored to customer needs and is able to exceed their assigned quota.

Key responsibilities include: Articulating the value of the Tanium platform to decision makers and expertly managing the complex sales cycle Nurturing and developing relationships within the assigned territory and/or accounts, presenting to the C-suite the value of the Tanium platform Working with the Partner and Marketing teams to define and support prospecting and sales efforts within assigned territory and/or accounts Generating appropriate sales development activity to ensure healthy pipeline management Accurately forecasting, maintaining excellent SFDC hygiene Conducting online webinars or in-person presentations to generate qualified leads Travel as needed

We're looking for someone with significant enterprise software sales experience, generating and closing large & complex software transactions with the biggest customers in the region. A strong team mentality is essential, as selling is a team sport at Tanium, where managing and using virtual resources to tackle large and complex sales cycles is a must-have skill.

Proven track record of exceeding quota, experience calling on and presenting to C-Suite level contacts, background building and cultivating relationships with partner ecosystems to bring a partner-centric go-to-market approach to our customers.

Excellent communication and presentation skills are required, as well as the ability to evangelize and build new business opportunities within an assigned territory and/or accounts.

XML job scraping automation by YubHub

A typical day for this role will involve building deep expertise on Airbnb in your market/region through user research, marketplace data, and an understanding of the competitive landscape. You will work with other functional leaders in your market/region to articulate the product vision, strategy, and roadmap for Airbnb products and new businesses. You will implement best-in-class product development and management practices, maintain and articulate a product feature and roadmap prioritization plan in collaboration with local teams, and advocate for and execute new products that deliver impact for our business and users.

As the Product Manager based in our EMEA region, you will report to the Product Marketing Director for International Markets. You will be responsible for the success of Airbnb products throughout their life cycle , from concept to release. You will be the voice of our products for the market in your region and love the journey from taking a product from idea to reality.

This role is based either in London or Paris (or within easy commuting distance of these cities). The actual base pay is dependent upon many factors, such as: training, transferable skills, work experience, business needs, and market demands. The base pay range shown below is annualized, is subject to change, and may be modified in the future. This role may also be eligible for bonus, equity, benefits, and Employee Travel Credits.

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

You will report to the regional Manager/Lead.

The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 9+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Capable of design and deployment of highly performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Experience in building scalable streaming and batch solutions using cloud-native components
• Travel to customers up to 20% of the time

Nice to have: Databricks Certification

XML job scraping automation by YubHub

As a Lakebase Account Executive, you will drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.

You will lead with outcomes for key Lakebase personas , including platform teams and developers, data teams, and central IT , articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.

You will sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.

You will run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.

You will orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.

You will compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.

You will align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.

You will partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.

You will enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.

This role requires the ability to operate across two key motions simultaneously:

Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.

Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts.

Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.

Success in this role requires strength in four areas:

Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.

Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.

Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.

Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.

The interview process is designed to evaluate candidates across all four of these dimensions.

We are looking for a candidate with 7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.

Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.

Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.

Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).

Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.

Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.

Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.

Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.

Bachelor’s degree or equivalent practical experience.

Preferred qualifications include experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.

Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.

Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.

Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.

Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.

Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.

XML job scraping automation by YubHub

Your work directly impacts how thousands of customers identify, engage, and convert their ideal buyers. You'll partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption.

Key responsibilities include:

Strategic Leadership: Own product strategy and roadmap for identity resolution, defining vision and success metrics that drive measurable improvements in match rates and customer value Identify and prioritize opportunities to enhance identity resolution through new data sources, improved algorithms, and better data quality Evaluate, negotiate, and integrate 3rd party data partnerships that expand identity coverage and accuracy Define and track core metrics including visitor-to-person match rates, IP-to-company accuracy, coverage, latency, and downstream revenue impact Partner with product marketing, sales enablement, and customer success to position identity capabilities and drive adoption

Execution Excellence: Deliver measurable improvements to identity resolution performance through rigorous prioritization, rapid experimentation, and iterative execution Diagnose and resolve data quality issues that impact match rates, customer trust, and product experience Build scalable monitoring and alerting systems that track identity resolution health and enable proactive issue detection Create frameworks for evaluating new data sources and measuring their incremental impact on resolution performance Conduct deep discovery using data analysis, customer interviews, and competitive research to uncover opportunities for improvement

Cross-Functional Partnership: Partner with Platform, Application, and Data teams to ensure seamless integration of identity data into customer-facing products Collaborate with data science and engineering to solve complex problems in entity resolution, probabilistic matching, and signal enrichment Work with analytics teams to instrument metrics, build dashboards, and enable data-driven decision making Enable go-to-market teams through training, documentation, and competitive positioning

What You Bring:

Required Qualifications: 5+ years of product management experience in data-intensive B2B SaaS environments, with focus on data products, identity systems, or platform-level capabilities Deep understanding of identity resolution, entity matching, IP-to-company mapping, visitor identification, and the evolving privacy landscape Technical fluency with SQL, Snowflake, and BI tools (Tableau, Looker) - ability to independently analyze data, diagnose issues, and make data-driven decisions Proven track record identifying, diagnosing, and resolving data quality issues at scale with understanding of coverage, accuracy, and freshness trade-offs Cross-functional leadership - demonstrated ability to influence and align engineering, product, data science, and go-to-market teams without formal authority Customer-centric mindset with experience optimizing adoption funnels and driving engagement for technical products Excellent communication skills - ability to translate complex technical concepts into clear, value-based narratives for executives and customers Bias for action - track record of moving quickly from insight to execution with iterative, test-and-learn approach B2B SaaS experience with enterprise data products, platform products, or GTM tools

Preferred Qualifications: Experience with AdTech, MarTech, or Real-Time Bidding (RTB) ecosystems Background in data science, engineering, or analytics prior to product management Familiarity with 3rd party data sourcing, evaluation, and integration Experience with probabilistic matching, entity resolution, or graph-based identity systems Knowledge of data privacy regulations and their product implications Experience in sales intelligence, marketing technology, or revenue operations domains

XML job scraping automation by YubHub

You will work at the intersection of AI safety and information integrity, combining deep expertise in influence operations with technical investigation skills to identify threat actors who leverage AI to generate synthetic content, amplify narratives, manipulate public discourse, or undermine democratic processes. Your work will directly shape how Anthropic defends against one of the most rapidly evolving categories of AI misuse.

Important context: In this position you may be exposed to explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature. This role may require responding to escalations during weekends and holidays.

Responsibilities:

• Detect and investigate attempts to misuse Anthropic's AI systems for influence operations, including AI-generated disinformation, coordinated inauthentic behavior, astroturfing, and narrative manipulation campaigns

• Conduct technical investigations using SQL, Python, and other tools to analyze large datasets, trace user behavior patterns, and uncover coordinated networks of threat actors conducting influence operations

• Develop influence operation-specific detection capabilities, including abuse signals, behavioral clustering techniques, and detection methodologies tailored to AI-enabled information manipulation

• Create actionable intelligence reports on influence operation TTPs, emerging narrative threats, and threat actor campaigns leveraging AI systems

• Conduct cross-platform threat analysis linking on-platform activity to broader influence campaigns across social media, messaging platforms, and other digital ecosystems

• Monitor and analyze state-sponsored and non-state influence operations that may leverage AI capabilities, with particular focus on operations originating from or targeting geopolitically significant regions

• Collaborate with policy and enforcement teams to make informed decisions about user violations and ensure appropriate mitigation actions

• Engage with external stakeholders including government agencies, platform integrity teams, academic researchers, and threat intelligence sharing communities

• Forecast how advances in AI technology,including improved content generation, voice synthesis, and multimodal capabilities,will reshape the influence operations landscape and inform safety-by-design strategies

You may be a good fit if you:

• Have deep subject matter expertise in influence operations, coordinated inauthentic behavior, disinformation, or information warfare

• Have demonstrated proficiency in SQL and Python for data analysis and threat detection

• Have experience tracking and attributing influence campaigns to specific threat actors, including state-sponsored operations

• Have hands-on experience with large language models and understanding of how AI technology could be weaponized for influence operations

• Have experience with open-source intelligence (OSINT) methodologies and tools for investigating online information ecosystems

• Have excellent stakeholder management skills and ability to work with diverse teams including researchers, policy experts, legal teams, and external partners

• Can present analytical work to both technical and non-technical audiences, including government stakeholders and senior leadership

Strong candidates may also have:

• Experience at a major technology platform working on influence operations, platform integrity, or content authenticity

• Background in intelligence analysis, information operations, or counter-disinformation within government or military contexts

• Experience investigating operations linked to Chinese, Russian, Iranian, or other state-sponsored information campaigns

• Fluency in Mandarin Chinese, Russian, Farsi, and/or Arabic (speaking, reading, and writing) combined with a nuanced understanding of the geopolitical landscape and cultural context of the respective regions

• Familiarity with social network analysis techniques and tools for mapping coordinated behavior

• Background in AI safety, machine learning security, or technology abuse investigation

• Experience building and scaling threat detection systems or abuse monitoring programs

• Active Top Secret security clearance

The annual compensation range for this role is $230,000-$290,000 USD.

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

The impact you will have:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases

• Work with engagement managers to scope variety of professional services work with input from the customer

• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications

• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

• Provide an escalated level of support for customer operational issues

• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs

• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• 6+ years experience in data engineering, data platforms & analytics

• Comfortable writing code in either Python or Scala

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps

• Design and deployment of performant end-to-end data architectures

• Experience with technical project delivery - managing scope and timelines

• Documentation and white-boarding skills

• Experience working with clients and managing conflicts

• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects

• Ability to travel up to 30% when needed

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 base 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 anticipated 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 1 Pay Range $180,656-$248,360 USD

Zone 2 Pay Range $180,656-$248,360 USD

Zone 3 Pay Range $180,656-$248,360 USD

Zone 4 Pay Range $180,656-$248,360 USD

XML job scraping automation by YubHub

XML job scraping automation by YubHub

The successful DSA drives a superior customer experience by delivering technology solutions tailored to customer needs and is able to exceed their assigned quota.

Key responsibilities include: Articulating the value of the Tanium platform to decision makers and expertly managing the complex sales cycle Nurturing and developing relationships within the assigned territory and/or accounts, presenting to the C-suite the value of the Tanium platform Working with the Partner and Marketing teams to define and support prospecting and sales efforts within assigned territory and/or accounts Generating appropriate sales development activity to ensure healthy pipeline management Accurately forecasting, maintaining excellent SFDC hygiene Conducting online webinars or in-person presentations to generate qualified leads Travel as needed

We're looking for someone with significant enterprise software sales experience, generating and closing large & complex software transactions with the biggest customers in the region. A strong team mentality is essential, as selling is a team sport at Tanium. Proven track record of exceeding quota, experience calling on and presenting to C-Suite level contacts, and background building and cultivating relationships with partner ecosystems are also required.

The ability to evangelize and build new business opportunities within an assigned territory and/or accounts is crucial. Excellent communication and presentation skills are necessary to articulate the value of the Tanium platform to decision makers.

What you'll get

The annual base salary range for this full-time position is $95,000 to $285,000 and this position will also be commission eligible.

XML job scraping automation by YubHub

Feedback at Anthropic is uniquely high-leverage. We're building on frontier models that evolve constantly, serving customers from individual developers to the largest enterprises, across multiple surfaces (API, claude.ai, Claude Code). Customer signal arrives from everywhere , field conversations, support interactions, early access programs, in-product telemetry , and the opportunity is to make that signal a first-class, structured input to every product and research decision.

This role will build the system that makes customer voice as easy to act on as any other data source. You treat feedback loops as a product. You're obsessed with making it effortless for the field to share what they're hearing and for product teams to know what matters most. You build AI-enabled systems that do the first pass so humans can focus on judgment, not triage. You think like a product manager, not a process administrator.

Your work will directly impact how fast Anthropic learns from its customers and how reliably that learning shapes what we build next.

Key Responsibilities

You'll own the operating system for customer feedback across all of Anthropic , one shared platform, not a collection of per-team processes. Working horizontally across every Product team, Research PM, GTM, Customer Success, and Support, you'll establish the intake, synthesis, and routing infrastructure that makes voice of the customer a first-class input to every roadmap.

You'll drive adoption through influence, making it so obviously useful that teams pull from it rather than get pushed to it.

Feedback Intake & System of Record

Own the single, org-wide pipeline that captures customer feedback from every channel , field teams, support, early access programs, in-product signals , into one structured system of record that serves every product surface.

Build intake workflows that meet teams where they already work (Slack, Gong, CRM) without creating a documentation tax. Obsess over the submitter experience so that sharing feedback is faster than not sharing it.

AI-Enabled Synthesis & Triage

Build Claude-powered pipelines that enrich, tag, cluster, and summarize unstructured feedback into trackable issues , doing the first-pass work so humans focus on verification and judgment.

Design the human-in-the-loop model: Claude proposes, PMs and field teams correct, and the system learns from those corrections over time.

Partner with Engineering and Research on tooling strategy, evals, and the closed-loop data that makes synthesis quality measurably improve.

Routing & Closing the Loop

Establish clear routing so the right feedback reaches the right product or research owner at the right time , including the path from product signal back into model training priorities.

Build the visibility layer that gives GTM and Support a clear line of sight from customer input to roadmap outcome, so they can close the loop with customers confidently and in real time.

Voice of the Customer Programs

Partner deeply with GTM, Customer Success, and Sales to design and run structured voice of the customer programs , customer advisory boards, early access programs, design partner cohorts , that generate high-signal feedback by design.

Define what 'high-signal' means: feedback tied to specific use cases, blocker severity, revenue context, and customer segments so product teams can make confident tradeoffs.

Continuous Improvement

Define and track success metrics for feedback loop health , time-to-triage, signal quality, roadmap influence, field satisfaction , and use them to identify bottlenecks.

Run regular retros with Product and GTM partners and feed learnings back into process and tooling improvements. Scale what works through documentation and enablement.

You may be a good fit if you:

Have 7+ years in product operations, customer insights, voice of the customer programs, or related roles in fast-paced tech companies.

Have personally shipped AI-enabled processes and systems , you've written the prompts, built the evals, and iterated on production LLM workflows yourself. You can talk about model behavior with specificity, not just direct others to build.

Have owned a customer feedback program end-to-end , intake, synthesis, routing, and closing the loop , that product teams actually used to make decisions. The customer mix can be enterprise, PLG, design partner, or dev community; what matters is that you designed it and ran it.

Have operated at earlier-stage and scaling companies (Series B-D or equivalent) where you built things that didn't exist yet, shipped v1s in weeks not quarters, and iterated in public.

Have operated in horizontal, cross-org roles before , you know how to build shared infrastructure that many teams depend on, drive adoption through influence rather than mandate, and earn trust across functions that don't report to you.

Are comfortable with ambiguity and can create structure where none exists , you've built the v1 of a system and iterated it into something teams rely on.

Are service-oriented and obsessed with making it easy for others to do great work.

Strong candidates may also have experience with:

Building AI-native workflows end-to-end , prompt design, evals, closed-loop improvement , and pushing the boundaries of what automation can own.

Product Management, Customer Success Operations, or Research Operations.

Feedback tooling ecosystems (Productboard, Dovetail, or homegrown equivalents) and the tradeoffs between buy vs. build.

Treating process as a product with users, metrics, and continuous iteration.

Track record of building and scaling operations programs from zero to one.

XML job scraping automation by YubHub

The vendors and partners you'll manage span verification, threat intelligence, process outsourcing, capability evaluation, civil society consultation, and research collaboration. You'll build repeatable processes where they're needed while staying nimble enough to handle novel partnership structures, like research collaborations, civil society consultations, and model red-teaming engagements that don't fit neatly into standard procurement workflows.

You'll work closely with legal, procurement, finance, and engineering teams, and you'll be the person who knows where every Safeguards contract stands, what we're spending, and where we should consider a change.

This is a role for someone who's comfortable operating across commercial, legal, and technical contexts in a fast-moving environment , someone who can negotiate contract terms, work with legal teams to redline contracts, set up model access for a research partner, and handle a vendor performance issue in one day.

*Important context for this role: In this position you may be exposed to and engage with explicit content spanning a range of topics, including those of a sexual, violent, or psychologically disturbing nature.

Responsibilities:

• Vendor Selection & Onboarding: Understand the broad vendor landscape for Safeguards and drive vendor selection processes with expert input, factoring in tradeoffs between capability, price, and internal resources across categories including verification, threat intelligence, process outsourcing, and capability evaluation
• Conduct vendor due diligence and coordinate security and data governance reviews for vendors handling sensitive model access or content
• Forecast future partnership needs and proactively research vendors and partners that could meet emerging Safeguards requirements
• Contract & Budget Management: Manage contracts across the Safeguards vendor and partner portfolio, working with legal and procurement teams on contract redlining, negotiation, and execution
• Work with legal teams and potential research partners to develop novel agreements for research collaboration, civil society consultation, and model red-teaming
• Handle invoicing, payment, and renewal processes with partners
• Own Safeguards vendor budget tracking and planning in partnership with finance teams, maintaining a clear picture of current spend and forecasting future needs
• Ongoing Vendor & Partner Management: Manage vendor and researcher access to models and products during testing phases and trials
• Oversee and monitor vendor performance and usage, flagging issues and resolving concerns and disputes as they arise
• Report on vendor performance, spend, and contract status to Safeguards leadership

Requirements:

• 5+ years in vendor management, procurement, or contract operations, ideally in risk, fraud, compliance, or trust & safety contexts at a technology company
• Demonstrated experience reviewing and negotiating contracts, including comfort with redlining and working alongside legal counsel
• Track record managing vendor budgets, including forecasting, tracking spend, and making tradeoff recommendations
• Understanding of AI safety, account abuse, or platform integrity issues , you know what verification vendors, threat intelligence providers, and content screening tools actually do
• Experience onboarding vendors and standing up new vendor relationships from scratch, not just managing existing ones
• Strong cross-functional collaboration skills, particularly with legal, procurement, finance, and engineering teams
• Comfort with ambiguity and fast-moving environments , you've built or significantly improved vendor management processes, not just inherited them

Nice to have:

• Experience in AI safety or AI-adjacent vendor ecosystems
• Familiarity with procurement tools such as Ironclad or Zip

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

XML job scraping automation by YubHub

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

You will report to the regional Manager/Lead.

The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time

Databricks Certification

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 base 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 anticipated 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 1 Pay Range $180,656-$248,360 USD

Zone 2 Pay Range $180,656-$248,360 USD

Zone 3 Pay Range $180,656-$248,360 USD

Zone 4 Pay Range $180,656-$248,360 USD

XML job scraping automation by YubHub

This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.

Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service.

If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.

The impact you will have

• Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.

• Lead with outcomes for key Lakebase personas , including platform teams and developers, data teams, and central IT , articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.

• Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.

• Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.

• Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.

• Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.

• Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.

• Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.

• Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.

What success looks like in this role

This role requires the ability to operate across two key motions simultaneously:

• Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.

• Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts.

Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.

Success in this role requires strength in four areas:

• Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.

• Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.

• Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.

Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.

What we look for

• 7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.

• Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.

• Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.

• Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).

• Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.

• Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.

• Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.

• Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.

• Bachelor’s degree or equivalent practical experience.

Preferred qualifications

• Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.

• Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.

• Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.

• Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.

• Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.

• Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.

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, please click here.

Our Commitment to Diversity and Inclusion

XML job scraping automation by YubHub

In this role, you will be responsible for building and maintaining strong relationships with key EMEA LPM partners, facilitating technical integrations, launching new capabilities (whether with new or existing partners), and ensuring optimal performance of our solutions with financial partners.

Responsibilities:

• Partner Management: Build and maintain strong, long-term relationships with key financial ecosystem partners, serving as the primary point of contact for technical inquiries and operational support.

• Technical Integration: Collaborate closely with partners to define and implement successful integrations, ensuring all technical requirements are met and projects are delivered on time.

• Performance Tracking: Establish Service Level Agreements (SLAs) and performance standards for partner accounts, leveraging metrics and data analysis to monitor and improve partner health and satisfaction. Regularly drive technical reviews to improve partner performance.

• Cross-Functional Collaboration: Work across multiple Stripe teams,including Engineering, Product, and Partner Development,to support and drive process enhancements and technical solutions that benefit partners.

• Incident Management: Assist in incident resolution by coordinating with internal teams to manage partner communications effectively and resolve issues efficiently.

• Operational Efficiencies: Identify inefficiencies within Stripe’s operating model, proposing and driving effective solutions (including both technical and operational requirements) to address them.

• Training and Support: Provide ongoing training, documentation and support to partners, helping them leverage Stripe’s technology and products effectively.

• Feedback Collection: Gather feedback from partners to inform improvements in internal processes and product functionalities, ensuring customer needs are addressed within the organization

The ideal candidate will possess a blend of technical expertise and account management experience, with a focus on driving partner success.

XML job scraping automation by YubHub

You will work closely with Product, Marketing, and Pricing to bring real customer signals into decisions and help the company learn quickly what resonates, what converts, and what customers will pay for. This role often operates as a specialist overlay into existing Intercom customer accounts.

Key responsibilities include owning the full sales cycle for Sales Agent, running discovery with Sales, RevOps, and Marketing leaders, designing and managing structured evaluations, building and refining how we sell this product, and providing structured feedback to Product, Marketing, and Pricing.

The ideal candidate will have proven experience running full cycle SaaS sales processes from discovery through close, demonstrated ability to sell a new or evolving product, experience selling to sales leadership, RevOps, Marketing leadership, or adjacent GTM personas, and strong consultative selling and discovery skills.

Benefits include competitive salary and meaningful equity, comprehensive medical, dental, and vision coverage, regular compensation reviews, flexible paid time off policy, paid Parental Leave Program, 401k plan & match, in-office bicycle storage, fun events for Intercomrades, friends, and family, unlimited access to Claude Code and best-in-class AI tools, experimentation & building is encouraged & celebrated.

XML job scraping automation by YubHub

XML job scraping automation by YubHub

Your responsibilities will include creating and executing on a compelling vision to build world-class integration systems that empower both internal developers and third-party partners to build integrations with confidence. You will lead, mentor, and grow our talented team of platform engineers, while also coordinating with external consultants who build connectors using our SDK.

You will champion organizational growth by implementing scalable, reliable integration practices that accelerate product development and delight our customers. Elevate the principles of platform engineering across Lumos.

The ideal candidate will have 2+ years of proven people management experience leading engineering teams, experience managing teams focused on Integrations and/or Platform Engineering, and demonstrated experience building SDKs, developer platforms, or third-party integration ecosystems with a focus on developer experience and reliability.

Experience working at a startup, exposure to excellent engineering practices gained at a top-tier technology company, and knowledge and experience with modern integration patterns (REST, GraphQL, webhooks, event-driven architectures) are highly valued.

XML job scraping automation by YubHub

This role operates as a specialist overlay into existing Intercom customer accounts. You will work closely with Product, Marketing, and Pricing to bring real customer signals into decisions and help the company learn quickly what resonates, what converts, and what customers will pay for.

Key responsibilities include:

• Owning the full sales cycle for Sales Agent, from first conversation through evaluation, executive alignment, and close
• Running discovery with Sales, RevOps, and Marketing leaders to understand their inbound motion, define success, and quantify impact
• Designing and managing structured evaluations with your Solutions Engineer partner to prove measurable outcomes and create conviction
• Building and refining how we sell this product, including messaging, objection handling, competitive narratives, evaluation frameworks, and ROI proof points
• Partnering with core Relationship Managers to identify high-fit accounts, coordinate outreach, and keep account engagement disciplined and low-friction
• Providing structured feedback to Product, Marketing, and Pricing based on patterns across deals, including feature gaps, objections, and willingness to pay signals
• Helping define and improve sales process and operating cadence as we learn, including what we measure and what constitutes a qualified opportunity

Requirements:

• Proven experience running full cycle SaaS sales processes from discovery through close
• Demonstrated ability to sell a new or evolving product where positioning, ROI narrative, and evaluation plan are still being refined
• Experience selling to sales leadership, RevOps, Marketing leadership, or adjacent GTM personas
• Strong consultative selling and discovery skills with the ability to quantify value and align multiple stakeholders
• Comfort running structured evaluations and coordinating technical and commercial workstreams with Solutions Engineers and cross-functional partners
• Ability to synthesize customer feedback into clear product insights and messaging recommendations
• High ownership and adaptability in fast-moving environments

Bonus skills and attributes:

• Experience selling within sales tech or martech ecosystems
• Experience in a startup, scale-up, or new product line environment where you contributed to early go-to-market learning
• Familiarity selling AI-enabled products or automation tools
• Experience operating in an overlay or specialist model alongside account owners

Benefits:

• Competitive salary and equity in a fast-growing start-up
• We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
• Regular compensation reviews - we reward great work!
• Pension scheme & match up to 4%
• Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
• Flexible paid time off policy
• Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
• If you’re cycling, we’ve got you covered on the Cycle-to-Work Scheme. With secure bike storage too
• MacBooks are our standard, but we also offer Windows for certain roles when needed

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases

• Work with engagement managers to scope variety of professional services work with input from the customer

• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications

• Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

• Provide an escalated level of support for customer operational issues.

• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 9+ years experience in data engineering, data platforms & analytics

• Comfortable writing code in either Python or Scala

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps

• Capable of design and deployment of highly performant end-to-end data architectures

• Experience with technical project delivery - managing scope and timelines.

• Documentation and white-boarding skills.

• Experience working with clients and managing conflicts.

• Experience in building scalable streaming and batch solutions using cloud-native components

• Travel to customers up to 20% of the time

Nice to have: Databricks Certification

XML job scraping automation by YubHub

This is a founding management role where you'll help shape how the team works, partner closely with the Staff Backend Engineer, Product Manager, and SSCS stage management, and turn a defined roadmap into steady, high-quality delivery for enterprise customers with strict security and compliance needs.

You'll focus on developing the team, creating a healthy operating rhythm, and establishing predictable execution for the SSCS SKU.

You'll join a product area where customers in regulated industries are already validating the need, and your work will help GitLab deliver software supply chain security features that customers can rely on.

While technical credibility matters, your main focus will be growing a strong backend engineering team, enabling team members in their development, and creating the conditions for long-term delivery and quality.

Responsibilities:

• Guide a backend engineering team building the SSCS Add-On across dependency enforcement, build provenance, malicious package detection, and artifact signing.

• Be responsible for driving engineering delivery for general availability milestones by aligning sequencing, scope, and dependencies with the Staff Backend Engineer and Product Manager.

• Develop the team by partnering with Talent Acquisition on sourcing, interview design, candidate evaluation, and hiring decisions.

• Run regular 1:1s, performance reviews, and career development conversations that enable growth and clear expectations.

• Advance engineering quality by monitoring cycle time, defect rates, and test coverage, and by addressing risks early.

• Coordinate quarterly planning and roadmap tradeoff discussions with SSCS stage leadership and Product.

• Work with Finance and other partners on headcount pacing and team planning as the Add-On scales.

• Represent the SSCS Add-On team within stage leadership discussions and help ensure strong communication across functions.

Requirements:

• Over 3 years of experience guiding backend product engineering teams in security, DevOps, or platform engineering environments.

• Ability to hire and grow backend or security engineers in distributed team environments, with practical understanding of the talent landscape for these roles.

• Technical credibility to contribute to architecture discussions involving package registries, CI/CD pipeline security, and signing infrastructure.

• Experience managing predictable delivery across multi-quarter product roadmaps and managing cross-team dependencies.

• Comfort working in an asynchronous, documentation-driven organization with clear written communication.

• Familiarity with supply chain security, artifact management, or compliance-focused product areas, or transferable experience from related domains.

• Working knowledge of concepts related to frameworks and ecosystems such as SLSA and Sigstore.

• Ability to build credibility with engineers, product partners, and customer-facing stakeholders through clear judgment, coaching, and teamwork.

About the team: The SSCS Add-On team is a product engineering team within GitLab's Software Supply Chain Security stage. We work on key capabilities in the SSCS Add-On SKU and collaborate closely with product and engineering partners to deliver security features for customers operating in regulated environments.

You'll report to the SSCS Senior Engineering Manager and partner directly with the Staff Backend Engineer and Product Manager.

As a distributed team working asynchronously across regions, we are focused on strong delivery practices, team health, and scaling the product area with clarity and accountability.

For more on how related teams work, see Team Handbook Page.

How GitLab Supports Full-Time Employees:

• Benefits to support your health, finances, and well-being

• Flexible Paid Time Off

• Team Member Resource Groups

• Equity Compensation & Employee Stock Purchase Plan

• Growth and Development Fund

• Parental leave

• Home office support

XML job scraping automation by YubHub

This is a highly visible, high-impact role where identity sits at the center of security. You will define how access is granted, changed, and removed across the organization, enabling business velocity while enforcing least privilege and strong governance.

Key responsibilities include:

Design and scale enterprise identity architecture that minimizes access sprawl and enforces least privilege

Own and improve Joiner, Mover, and Leaver (JML) lifecycle processes across all critical systems

Build and operate identity governance and administration (IGA) capabilities including birthright access models, role-based access control (RBAC), approval workflows and policy enforcement, access reviews and certification processes

Administer and enhance Okta capabilities (SSO, MFA, adaptive policies, lifecycle management, SCIM, integrations)

Build and scale access request workflows in Opal and integrated systems

Integrate new applications into the identity ecosystem (SAML, OIDC, SCIM, role mapping)

Develop automation and infrastructure-as-code to improve reliability and reduce manual effort

Partner with Security to strengthen identity as a core control plane (Zero Trust, authentication, authorization)

Align identity systems with PeopleOps and organizational changes

Monitor and improve identity system health, observability, and performance

Troubleshoot complex authentication, provisioning, and authorization issues

Maintain documentation, runbooks, and architectural standards

Serve as an escalation point for identity-related incidents

Drive continuous improvement in identity architecture, governance, and user experience

Requirements include:

7–10+ years of experience in IT systems engineering, identity engineering, or systems architecture

Deep hands-on experience with Okta in a complex enterprise environment

Strong expertise in identity and access concepts (SSO, MFA, SAML, OAuth, OIDC, SCIM, RBAC, Zero Trust)

Proven experience designing lifecycle automation (JML) and access governance frameworks

Experience with IGA or access request platforms such as Opal

Strong automation and infrastructure-as-code experience (Terraform, APIs, Python/PowerShell/Golang)

Ability to integrate enterprise applications into centralized identity platforms

Strong troubleshooting skills across identity, federation, and provisioning systems

Excellent communication skills with the ability to influence cross-functional stakeholders

Preferred qualifications include familiarity with Active Directory, Entra ID, HRIS systems, and SaaS ecosystems, experience building identity observability and reporting, and relevant certifications (Okta, cloud, or security).

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

Be Curious at Your Core

Act Like an Owner

Empower Employees

Deliver Best-in-Class Client Experiences

Achieve More Together

Why This Role Matters

Identity is one of the most critical control planes in a modern enterprise. In this role, you will define how secure access is managed across CoreWeave, ensuring identity remains a foundational pillar of security, compliance, and scale.

The base salary range for this role is $188,000 to $275,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer

The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.

In addition to a competitive salary, we offer a variety of benefits to support your needs, including medical, dental, and vision insurance, company-paid life insurance, voluntary supplemental life insurance, short and long-term disability insurance, flexible spending account, health savings account, tuition reimbursement, ability to participate in employee stock purchase program (ESPP), mental wellness benefits through Spring Health, family-forming support provided by Carrot, paid parental leave, flexible, full-service childcare support with Kinside, 401(k) with a generous employer match, flexible PTO, catered lunch each day in our office and data center locations, a casual work environment, and a work culture focused on innovative disruption.

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

The impact you will have:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases

• Work with engagement managers to scope variety of professional services work with input from the customer

• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications

• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

• Provide an escalated level of support for customer operational issues

• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs

• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

What we look for:

• 6+ years experience in data engineering, data platforms & analytics

• Comfortable writing code in either Python or Scala

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps

• Design and deployment of performant end-to-end data architectures

• Experience with technical project delivery - managing scope and timelines

• Documentation and white-boarding skills

• Experience working with clients and managing conflicts

• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects

• Ability to travel up to 30% when needed

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 base 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 anticipated 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.

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

You will report to the regional Manager/Lead.

The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Capable of design and deployment of highly performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Experience in building scalable streaming and batch solutions using cloud-native components
• Travel to customers up to 20% of the time

Nice to have:

• Databricks Certification

XML job scraping automation by YubHub

The ideal candidate will have a deep understanding of the travel industry and a proven track record of driving product innovation. You will collaborate with cross-functional teams to develop partnerships that accelerate existing and new businesses. You will drive features in major releases and for test and learn pilots, after having successfully championed customization and features for your target country/region.

You will also determine how they are communicated to the public and the media in your region in partnership with other communications and marketing teams. You are responsible for the success of Airbnb products throughout their life cycle , from concept to release. You will be the voice of our products for the market in your region and love the journey from taking a product from idea to reality.

A typical day for this role will involve building deep expertise on Airbnb in your market/region through user research, marketplace data, and an understanding of the competitive landscape. You will work with other functional leaders in your market/region to articulate the product vision, strategy, and roadmap for Airbnb products and new businesses. You will implement best-in-class product development and management practices, including relevant go-to-market kits and information packs for local teams.

You will maintain and articulate a product feature and roadmap prioritization plan in collaboration with local teams. You will advocate for and execute new products that deliver impact for our business and users. You will communicate concisely and influence outcomes across all levels of the company, including country and regional executive teams.

You will drive alignment across product teams (Technology, Design) and key cross-functional partners (Business, Supply, FP&A, Marketing, Global Operations, Customer Support, Trust, etc.) to ensure initiatives are prioritized for wider roll-out or piloted to test and learn. You will define goals and success with clearly measurable objectives and key results for your area.

You will build and seamlessly integrate partnerships in your country/region that expand existing businesses and build new ones. You will navigate regulatory and government requirements in partnership with Policy/Comms and regions/markets. You will craft the product narrative and marketing strategies that communicate the benefits and features of our products both internally and externally in collaboration with comms and other cross-functional partners.

You will develop and deliver engaging product demos to press, showcasing key features and functionalities.

Your expertise will include 10-15 years of product management experience, a demonstrated track record of product leadership, comfort with doing individual contributor product management work, success in building and scaling global consumer products and ecosystems that people love, experience creating product messaging and delivering to customers and the media, entrepreneurial track record of taking an idea to reality – start-up experience a plus while capable of operating in a larger organization, ability to effectively use data and perform business analysis to support product strategy/decisions, capable of driving execution across teams in a fast-paced environment, highly collaborative and results-oriented, ability and willingness to travel around 30-35% of the time, fluency in English and at least one other local language (Spanish or Portuguese).

This position is based in São Paulo, Brazil – hybrid. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

XML job scraping automation by YubHub

This is what we do every day at Databricks.

We are looking for an Account Executive to manage our most strategic customer in the UAE. The role will be based in London and will require you to travel to the UAE on a regular basis.

As a Strategic Account Executive, you are a sales professional experienced in selling to large Enterprise accounts. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles.

Key responsibilities:

• Assess your territory and develop a successful execution strategy
• Exceed activity and quarterly revenue targets
• Track all customer details including use case, purchase time frames, next steps, and forecasting in Salesforce
• Identify new use case opportunities and showcase value to existing customers
• Promote the value of the Databricks' Data Intelligence Platform
• Orchestrate and utilise our field engineering teams to ensure valuable outcomes for clients
• Build and demonstrate value with all engagements to guide successful negotiations to close point

What we look for:

• Extensive understanding of the data platform, open source and cloud ecosystems
• Highly skilled in prospecting research and ability to map out key stakeholders
• Demonstrated success in Value Selling and developing a mutual action plan
• Ability to influence decision-making and strategy with customer leadership teams
• Ability to establish credibility with the C-suite
• Adept in selling to technical buyers
• Mastery of MEDDPICC
• Bachelor's Degree or relevant work experience
• Fluency in English is required, fluency in Arabic is preferred

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.

XML job scraping automation by YubHub

We are seeking a highly skilled Resident Solutions Architect to join our Professional Services team in Washington, D.C. As a Resident Solutions Architect, you will work with customers on short to medium-term customer engagements on their big data challenges using the Databricks platform.

Responsibilities:

• Handle a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
• Provide an escalated level of support for customer operational issues
• Collaborate with the Databricks Technical, Project Manager, Architect and Customer teams to ensure the technical components of the engagement are delivered to meet customer's needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

Requirements:

• US Top Secret Clearance Required this position
• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
• Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience
• Ability to travel up to 30% when needed

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 base 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 anticipated 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 1 Pay Range $180,656-$248,360 USD Zone 2 Pay Range $180,656-$248,360 USD Zone 3 Pay Range $180,656-$248,360 USD Zone 4 Pay Range $180,656-$248,360 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 aloneabled

XML job scraping automation by YubHub

This role requires a deep understanding of SIs, ISVs and hyper-scaler ecosystems (AWS, Azure, GCP). A history with data and AI–driven business transformation and the ability to engage confidently with C-level executives at both partner and customer organisations.

Responsibilities:

• Define and execute the APJ SI and ecosystem strategy, aligned to global objectives and regional priorities.
• Build and scale a durable, high-value partner ecosystem spanning global system integrators (GSIs), regional partners, and other key partners across the region.
• Drive partner-led consumption of our platforms and solutions, ensuring measurable contribution to revenue, new logos and customer success.

SI & Ecosystem Development:

• Lead joint business planning and co-selling initiatives with key partners, ensuring alignment with their key accounts and GTM solutions.
• Create multi-year growth plans with top strategic partners, ensuring durable revenue streams.
• Drive certifications and badges with our enablement and solution architects, ensuring deep technical alignment.

Executive & C-Level Engagement:

• Represent the partner organization at the highest levels across the partner and customer ecosystem.
• Build trusted relationships with CXOs, board members, and industry thought leaders to drive strategic initiatives, joint investments, and executive sponsorship.

Leadership & Team Development:

• Inspire, mentor, and scale a high-performing alliances and channels team across APJ.
• Build a world-class culture of collaboration, innovation, and accountability.
• Attract and retain top talent, creating clear pathways for professional development and growth.

Operational Excellence:

• Own pipeline development, partner-sourced revenue, and consumption growth metrics.
• Drive operational rigor across partner programs, governance, and reporting.
• Champion cross-functional alignment with sales, marketing, product, and customer success to ensure ecosystem-driven success.

What we look for:

• 20+ years of leadership experience in technology sales, alliances, and partner ecosystem development, with a proven track record of impact across Asia Pacific & Japan.
• Bachelor’s degree required; Master’s preferred.
• Extensive experience in Data and AI technologies and their application to real-world business transformation.
• Demonstrated success working with hyperscalers (AWS, Azure, GCP) on joint go-to-market strategies, co-selling, and co-investment.
• Proven ability to influence C-level executives, boards, and global partner organizations.
• Strong understanding of the APJ market landscape, regional partner dynamics, and cultural nuances.
• Experience building and leading large, geographically distributed teams.
• Exceptional communication, negotiation, and executive presence skills.

XML job scraping automation by YubHub

We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Okta is scaling internal AI and automation across the company,from employee productivity to building differentiated AI-native products. To make that scale real, we’re building platforms that democratize agent and automation development: secure, reliable building blocks that let teams ship AI-powered workflows faster, safely, and with confidence.

As a Staff Product Manager, AI & Automation Platform, you’ll lead product strategy and execution for the platform layer that enables internal builders (engineers, automation developers, analysts, and power users) to create and run agents, automations, and integrations,while meeting Okta’s high bar for security, reliability, compliance, and operational rigor.

You’ll partner closely with your Bangalore Engineering POD and collaborate deeply with US-based product, security, and engineering stakeholders.

Key Responsibilities:

• Own the platform product strategy
• Define the vision, roadmap, and success metrics for an AI & Automation Platform that enables internal teams to build, test, deploy, and operate agents and automations at scale
• Identify the highest-leverage platform capabilities(e.g., orchestration, connectors, governance, observability) that reduce time-to-value for internal AI initiatives.
• Translate company priorities into clear platform outcomes: adoption, reliability and security, developer velocity and cost efficiency

Nice to Have:

• Experience with enterprise identity/security patterns (e.g., SSO, provisioning, authorization models)
• Familiarity with integration platforms, workflow engines, or API ecosystems.
• Experience in building internal platforms in a large global company with strong compliance

XML job scraping automation by YubHub

As a Big Data Solutions Architect (Internal Title - Resident Solutions Architect) in our Professional Services team, you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• Extensive experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 10% of the time

[Preferred] Databricks Certification but not essential

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

You will report to the regional Manager/Lead.

The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases

• Work with engagement managers to scope variety of professional services work with input from the customer

• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications

• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

• Provide an escalated level of support for customer operational issues.

• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics

• Comfortable writing code in either Python or Scala

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps

• Design and deployment of performant end-to-end data architectures

• Experience with technical project delivery - managing scope and timelines.

• Documentation and white-boarding skills.

• Experience working with clients and managing conflicts.

• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.

• Travel to customers 20% of the time

Databricks Certification

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 base 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 anticipated 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 1 Pay Range $180,656-$248,360 USD

Zone 2 Pay Range $180,656-$248,360 USD

Zone 3 Pay Range $180,656-$248,360 USD

Zone 4 Pay Range $180,656-$248,360 USD

XML job scraping automation by YubHub

The Senior Alliance Solutions Engineer Opportunity Okta believes in Partners and, together with our technology, will help take Identity mainstream and consolidate our position as a Leader in the market. Partner Solutions Engineers are dedicated to growing Okta business through the Channel, working closely with Regional Alliance Managers, Sales Representatives, Marketing and Partner Enablement.

As a Partner Solutions Engineer at Okta, you will have an opportunity to be a well-respected technical expert, building strong, long standing relationships with key Partners and Global System Integrators, supporting both global and India markets. You will become your partners' trusted advisor for anything Identity and Access Management related and will help them understand how Okta can best fit in their Go-To-Market (GTM) Strategy, integrate with their current offerings, help evangelize partner solutions within the Okta field teams and lead our partners in building Okta practices that deliver exceptional customer outcomes.

This role requires in-person onboarding and travel to our San Francisco, CA HQ office during the first week of employment.

What you'll be doing

• Build and manage technical relationships with assigned Partners and team with the assigned Okta Partner Account Team
• Drive incremental revenue through increased Okta solution sales with the support of Strategic Partners and their GTM strategies.
• Develop domain expertise and thought leadership regarding the Partners' current areas of focus as well as in new areas for expansion
• Gather, track, and translate partner feedback to help steer the Okta product roadmap
• Deliver technical training sessions for Partners (leading workshops, demoing Okta features, explaining best practices and competitive differentiators)
• Field technical questions, inquiries and Request for Information from the Partners through in-person, virtual and office hours and provide support for building Partner COEs
• Establish and maintain technical expertise on current and developing Okta products and technology
• Provide oversight, guidance, and assistance during the Partners sales process (including RFP responses) to ensure mutual success
• Up to 25% travel in support of Partner, Okta and industry events

How you'll be measured

• Direct and influenced revenue growth
• Partner developed and driven GTM Solution Offering driven into the market / their customer base
• Partner enablement and resource certification growth

What you'll bring to the role

• 5+ years pre-sales engineering experience.
• Experience with implementing Okta, Auth0 or both
• An understanding of IAM / IDaaS competitive landscape
• Experience supporting or enabling partner ecosystems or alliances in cloud security, identity, or cybersecurity
• Strong presentation and communication skills at a technical level
• A passion to serve the partner as our customer and ensure their success within their customer bases.
• Experience with at least one standard network security protocol. (OAuth, OAuth2, SAML, LDAP, OIDC)
• Knowledge in one or more of the following areas: web (Javascript, HTML, frontend frameworks) development, mobile (iOS, Android) development, backend (Java, C#, Node.js, Python, PHP, Ruby) development, IP-based real-time communications
• Hands-on experience in cloud computing environments (AWS, GCP, Azure)
• Confident dispensing knowledge to a highly skilled and experienced audience.
• Bachelor's degree in Engineering, Computer Science, MIS or a comparable field is preferred.

The Okta Experience

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.

Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.

If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.

Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases

• Work with engagement managers to scope variety of professional services work with input from the customer

• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications

• Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

• Provide an escalated level of support for customer operational issues.

• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 9+ years experience in data engineering, data platforms & analytics

• Comfortable writing code in either Python or Scala

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps

• Capable of design and deployment of highly performant end-to-end data architectures

• Experience with technical project delivery - managing scope and timelines.

• Documentation and white-boarding skills.

• Experience working with clients and managing conflicts.

• Experience in building scalable streaming and batch solutions using cloud-native components

• Travel to customers up to 20% of the time

Nice to have: Databricks Certification

XML job scraping automation by YubHub

Responsibilities:

• Identify high-potential prospective users from inbound leads and outbound prospecting
• Own the full sales cycle from lead to close for SMBs and Platforms
• Develop and implement full sales cycle strategies for driving new logo and product adoption
• Solve complex client needs and work across product, sales, risk, and operations teams to improve our platform
• Generate your own leads through cold calling, blitzing, research, networking, and driving your territory
• Make every potential Stripe user happy with every interaction, regardless of deal size
• Identify and understand users' pain points to propose Stripe solutions
• Set up users for success by coordinating internally with other Stripe teams

Minimum requirements:

• 5+ years of sales or prospecting experience, preferably at a technology company, with a track record of top performance
• Ability to understand complex technical ecosystems and build great relationships with technical customers
• Analytical ability to manage complex sales cycles
• Experience managing projects with input from cross-functional teams
• A knack for working well with a wide range of stakeholders, both internally and externally
• Ability and motivation to operate in a highly ambiguous and fast-paced environment
• Superior verbal and written communication skills
• Proven ability to meet or exceed sales targets

XML job scraping automation by YubHub

This is what we do every day at Databricks.

As a Core Account Executive (Digital Natives) at Databricks, you will own a focused territory of ~10 large Digital Native spending accounts across the Nordics.

You will assess your territory and develop a successful execution strategy, drive quarter-on-quarter consumption growth in existing accounts, exceed activity and quarterly revenue targets, track all customer details, identify new use case opportunities, promote the value of the Databricks' Data Intelligence Platform and other products, and ensure 100% satisfaction among all customers.

We look for good understanding of the data platform and cloud ecosystems, some exposure to the software industry and understanding of selling SaaS, Data and Business Value, experience growing consumption and closing commit deals in a direct sales role, competent with prospecting research and ability to map out key stakeholders, advanced understanding of MEDDPICC, experience exceeding sales targets/quotas, and a Bachelor's Degree or relevant work experience.

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, please visit our website.

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.

XML job scraping automation by YubHub

Reporting to the Manager of Partner Delivery Success, this role will be responsible for developing partner delivery capability within a defined product domain and regional partner portfolio. This role ensures service delivery partners are prepared to successfully deploy Okta solutions through capability development, go-live validation, and delivery oversight.

Key Responsibilities:

• Develop delivery capability across the assigned partner portfolio.
• Guide partners through the Service Delivery Partner maturity model.
• Identify specialization gaps and recommend enablement paths.
• Support partners pursuing product specializations (OWI, Auth0, Workflows, etc.).
• Encourage partner certification and skill development.
• Review and validate partner go-live submissions.
• Classify deployments according to Standard, Advanced, and Strategic complexity levels.
• Ensure deployments meet Okta delivery standards.
• Capture delivery feedback from Professional Services and customers.
• Serve as the delivery advisor for sales teams when identifying partners for deployments.
• Recommend partners based on capability, specialization, and deployment complexity.
• Assist in identifying partners capable of supporting complex customer architectures.
• Track ecosystem capability trends across assigned partners.
• Identify gaps in partner expertise or geographic coverage.
• Provide recommendations for partner enablement and recruitment.
• Partner closely with Professional Services on partner delivery quality feedback and co-delivery planning.
• Partner closely with Alliances to support relationship management and service delivery partner recruitment.
• Drive and track partner adoption to post-sales enablement.

What you’ll bring to the role:

• 7+ years of experience in enterprise software delivery, professional services, or partner success roles.
• Experience working with system integrators or service delivery partners.
• Experience supporting enterprise software implementations.
• Strong understanding of identity and access management concepts.
• Familiarity with enterprise SaaS deployment models.
• Understanding of partner ecosystems and implementation services.
• Ability to guide partners through complex technology implementations.
• Strong cross-functional collaboration skills.
• Ability to evaluate partner capabilities and recommend improvement strategies.
• Excellent communication and stakeholder management skills.
• Ability to work with technical teams, sales teams, and executive stakeholders.

And extra credit if you have experience in any of the following!

• Familiar with several programming languages (e.g., .NET, JavaScript, Python, Java).
• Familiar with open-source tools and development practices.
• Familiar with load balancers, reverse proxies, and Web Access Management tech (e.g., F5, Oracle, NGINX).
• Familiar with AI GPTs

XML job scraping automation by YubHub

As a Client Account Manager, you will collaborate closely with Client Partners to meet and exceed clients' marketing goals. You will proactively manage and deepen relationships with existing advertising partners, both with agencies and directly with Global clients, to drive year-on-year Reddit revenue growth.

Key responsibilities include:

• Collaborating with Client Partners to meet and exceed clients' marketing goals
• Managing and deepening relationships with existing advertising partners
• Leading and executing campaign launches from start to finish
• Running end-to-end global account operations
• Acting as the primary point of contact for internal account operations
• Educating brands and media agencies on Reddit's value proposition and best practices for advertising on the platform

Required qualifications include 5-7+ years of experience in advertising sales and account management, experience with enterprise Entertainment clients, and a strong understanding of customer marketing funnels and traditional marketing ecosystems.

XML job scraping automation by YubHub

As an Account Executive on the AI Startups team, you will own contract renewals and lead commercial negotiations to increase revenue and market share among existing customers.

You will develop and implement sales cycle strategies to drive product adoption, new sales, and client retention at scale.

You will address complex client needs by collaborating with product, sales, risk, and operations teams to enhance our offerings.

You will build and refine the go-to-market playbook for AI monetization and usage-based billing (UBB), including segmentation, messaging, sales strategy, and pipeline generation.

You will engage with AI founders and industry influencers to position Stripe as the preferred infrastructure for monetizing AI.

You will represent Stripe in market-facing activities (e.g., hackathons, webinars, events) to elevate our presence in the AI and billing ecosystem.

Minimum requirements:

• 5+ years of experience in a client-facing/sales role

• Ability to understand complex technical ecosystems and build great relationships with technical customers

• Ability to drive and close upsell opportunities for additional Stripe products in long-term, consultative engagements

• Analytical ability to manage complex pricing and cost considerations

• Experience managing projects with input from cross-functional teams

• A knack for working well with a wide range of stakeholders, both internally and externally

• Ability and motivation to operate in a highly ambiguous and fast-paced environment

• Superior verbal and written communication skills

Preferred qualifications:

• Prior experience in a sales and/or customer-facing role at a high growth technology company

• Experience with Excel and SQL, or a willingness to learn

XML job scraping automation by YubHub

This is a horizontal, org-wide role , you won't be embedded in a single product team, you'll build the shared operating system for voice of the customer that every product team, every surface, and every GTM motion plugs into.

Feedback at Anthropic is uniquely high-leverage. We're building on frontier models that evolve constantly, serving customers from individual developers to the largest enterprises, across multiple surfaces (API, claude.ai, Claude Code).

Customer signal arrives from everywhere , field conversations, support interactions, early access programs, in-product telemetry , and the opportunity is to make that signal a first-class, structured input to every product and research decision.

You treat feedback loops as a product. You're obsessed with making it effortless for the field to share what they're hearing and for product teams to know what matters most.

You build AI-enabled systems that do the first pass so humans can focus on judgment, not triage. You think like a product manager, not a process administrator.

Your work will directly impact how fast Anthropic learns from its customers and how reliably that learning shapes what we build next.

Key Responsibilities

You'll own the operating system for customer feedback across all of Anthropic , one shared platform, not a collection of per-team processes.

Working horizontally across every Product team, Research PM, GTM, Customer Success, and Support, you'll establish the intake, synthesis, and routing infrastructure that makes voice of the customer a first-class input to every roadmap.

You'll drive adoption through influence, making it so obviously useful that teams pull from it rather than get pushed to it.

Feedback Intake & System of Record

• Own the single, org-wide pipeline that captures customer feedback from every channel , field teams, support, early access programs, in-product signals , into one structured system of record that serves every product surface.

• Build intake workflows that meet teams where they already work (Slack, Gong, CRM) without creating a documentation tax. Obsess over the submitter experience so that sharing feedback is faster than not sharing it.

AI-Enabled Synthesis & Triage

• Build Claude-powered pipelines that enrich, tag, cluster, and summarize unstructured feedback into trackable issues , doing the first-pass work so humans focus on verification and judgment.

• Design the human-in-the-loop model: Claude proposes, PMs and field teams correct, and the system learns from those corrections over time.

• Partner with Engineering and Research on tooling strategy, evals, and the closed-loop data that makes synthesis quality measurably improve.

Routing & Closing the Loop

• Establish clear routing so the right feedback reaches the right product or research owner at the right time , including the path from product signal back into model training priorities.

• Build the visibility layer that gives GTM and Support a clear line of sight from customer input to roadmap outcome, so they can close the loop with customers confidently and in real time.

Voice of the Customer Programs

• Partner deeply with GTM, Customer Success, and Sales to design and run structured voice of the customer programs , customer advisory boards, early access programs, design partner cohorts , that generate high-signal feedback by design.

• Define what 'high-signal' means: feedback tied to specific use cases, blocker severity, revenue context, and customer segments so product teams can make confident tradeoffs.

Continuous Improvement

• Define and track success metrics for feedback loop health , time-to-triage, signal quality, roadmap influence, field satisfaction , and use them to identify bottlenecks.

• Run regular retros with Product and GTM partners and feed learnings back into process and tooling improvements. Scale what works through documentation and enablement.

You may be a good fit if you:

• Have 7+ years in product operations, customer insights, voice of the customer programs, or related roles in fast-paced tech companies.

• Have personally shipped AI-enabled processes and systems , you've written the prompts, built the evals, and iterated on production LLM workflows yourself.

• Have owned a customer feedback program end-to-end , intake, synthesis, routing, and closing the loop , that product teams actually used to make decisions.

• Have operated at earlier-stage and scaling companies (Series B-D or equivalent) where you built things that didn't exist yet, shipped v1s in weeks not quarters, and iterated in public.

• Have operated in horizontal, cross-org roles before , you know how to build shared infrastructure that many teams depend on, drive adoption through influence rather than mandate, and earn trust across functions that don't report to you.

• Are comfortable with ambiguity and can create structure where none exists , you've built the v1 of a system and iterated it into something teams rely on.

• Are service-oriented and obsessed with making it easy for others to do great work.

Strong candidates may also have experience with:

• Building AI-native workflows end-to-end , prompt design, evals, closed-loop improvement , and pushing the boundaries of what automation can own.

• Product Management, Customer Success Operations, or Research Operations.

• Feedback tooling ecosystems (Productboard, Dovetail, or homegrown equivalents) and the tradeoffs between buy vs. build.

• Treating process as a product with users, metrics, and continuous iteration.

• Track record of building and scaling operations programs from zero to one.

Annual compensation range for this role is $260,000-$325,000 USD

XML job scraping automation by YubHub

In this role, you'll contribute to capabilities that help customers control software dependencies, verify artifact integrity, and identify malicious packages before they reach production.

Your work will sit at the intersection of backend engineering, product integration, and security-focused development.

You'll build in Ruby on Rails, work alongside Go services as needed, and help connect Add-On functionality with GitLab's existing security scanning experience so findings are surfaced consistently for users.

Because the team is small, you'll have meaningful influence on implementation details, team practices, and the product experience.

This role is part of GitLab's all-remote, async-first, values-driven environment, where clear written communication and thoughtful coordination across time zones are essential.

Responsibilities

• Implement well-scoped backend features across the Add-On's supply chain security product, including package policy integrations, ingestion pipeline improvements, signing and verification support, and reliability-focused work, delivering maintainable code on agreed timelines and meeting team-defined delivery commitments.

• Build and maintain integrations between Add-On functionality and GitLab's existing software composition analysis scanning infrastructure so findings appear consistently and accurately in merge request security reports, reducing integration issues and supporting a reliable user experience.

• Write and maintain comprehensive automated test coverage, including RSpec and integration tests, to improve test reliability, reduce regressions, and support safe, consistent releases as the codebase grows.

• Take on work across multiple feature areas as priorities evolve, contributing as a generalist where the team needs support most.

• Participate actively in code review by giving thoughtful, actionable feedback and incorporating feedback constructively into your own work to help maintain code quality and reduce rework.

• Contribute clear internal documentation for the features and behavior you ship so teammates can support, extend, and troubleshoot the product effectively.

• Coordinate with adjacent Software Supply Chain Security teams, including Dependency Firewall and Malware Database, as the Add-On brings together capabilities from across GitLab, helping deliver aligned functionality and smoother cross-team execution.

• Collaborate effectively in an async-first environment across global time zones, including occasional off-hours overlap when needed, to keep work moving and decisions documented clearly.

Requirements

• Backend development experience with the ability to deliver maintainable production code.

• Solid proficiency in Ruby on Rails and strong PostgreSQL fundamentals.

• Familiarity with Golang, or a willingness to learn and work across both Ruby on Rails and Go.

• Strong testing discipline, including experience with RSpec or an equivalent testing framework.

• Clear, direct written communication skills and experience collaborating with distributed teammates in asynchronous workflows.

• Ability to manage scoped work independently, communicate progress clearly, and adjust as team priorities shift.

• Interest in package ecosystems such as npm, Maven, PyPI, or OCI containers, or adjacent experience that helps you ramp in this domain.

• Interest in software supply chain security, dependency management, DevSecOps, or security-adjacent product development, with the ability to apply security considerations in backend development work.

About the Team

The SSCS Add-On team is part of GitLab's Software Supply Chain Security stage and is focused on building a commercial offering that addresses real supply chain security challenges for enterprise customers.

The team works on capabilities that combine multiple parts of the GitLab product into a more complete security solution for organisations with strong compliance and risk management needs.

The work is both technically interesting and strategically important.

The team is building in a space shaped by fast-moving threats, evolving customer requirements, and close coordination with nearby teams across the broader security area.

That combination creates an environment where engineers can contribute to product direction while solving practical backend challenges in a visible part of GitLab's platform.

For more on how related teams work, see Team Handbook Page.

How GitLab Supports Full-Time Employees

• Benefits to support your health, finances, and well-being

• Flexible Paid Time Off

• Team Member Resource Groups

• Equity Compensation & Employee Stock Purchase Plan

• Growth and Development Fund

• Parental leave

• Home office support

XML job scraping automation by YubHub

As a Data Platform Solutions Architect on our Professional Services team for the Emerging Enterprise & Digital Natives business in EMEA, you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• Drive high-impact customer projects: Design and build reference architectures, implement production use cases, and create “how-to” guides tailored to the unique needs of fast-moving Emerging Enterprise & Digital Native customers in EMEA.

• Collaborate on project scoping: Work closely with Engagement Managers and customers to define project scope, schedules, and deliverables for professional services engagements.

• Enable transformational initiatives: Guide strategic customers through their end-to-end big data journeys,migrating from legacy platforms and deploying industry-leading data and AI applications on the Databricks platform.

• Consult on architecture & design: Provide thought leadership on solution design and implementation strategies, ensuring customers can successfully evaluate and adopt Databricks.

• Offer advanced support: Serve as an escalation point for operational issues, collaborating with Databricks Support and Engineering to resolve challenges quickly.

• Align technical delivery: Partner with cross-functional Databricks teams (Technical, PM, Architecture, and Customer Success) to align on milestones, ensuring customer needs and deadlines are met.

• Amplify product feedback: Provide implementation insights to Databricks Product and Support teams, guiding rapid improvements in features and troubleshooting for customers.

What we look for:

• Extensive experience in data engineering, data platforms & analytics

• Comfortable writing code in either Python or Scala

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps

• Design and deployment of performant end-to-end data architectures

• Experience with technical project delivery - managing scope and timelines.

• Documentation and white-boarding skills.

• Experience working with clients and managing conflicts.

• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.

• Travel to customers 10% of the time

• [Preferred] Databricks Certification but not essential

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

You will report to the regional Manager/Lead.

The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time

Databricks Certification

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 base 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 anticipated 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 1 Pay Range $180,656-$248,360 USD

Zone 2 Pay Range $180,656-$248,360 USD

Zone 3 Pay Range $180,656-$248,360 USD

Zone 4 Pay Range $180,656-$248,360 USD

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts

Databricks Certification

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 base 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 anticipated 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 1 Pay Range $180,656-$248,360 USD

Zone 2 Pay Range $180,656-$248,360 USD

Zone 3 Pay Range $180,656-$248,360 USD

Zone 4 Pay Range $180,656-$248,360 USD

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

You will report to the regional Manager/Lead.

The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases

• Work with engagement managers to scope variety of professional services work with input from the customer

• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications

• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

• Provide an escalated level of support for customer operational issues.

• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics

• Comfortable writing code in either Python or Scala

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps

• Design and deployment of performant end-to-end data architectures

• Experience with technical project delivery - managing scope and timelines.

• Documentation and white-boarding skills.

• Experience working with clients and managing conflicts.

• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.

• Travel to customers 20% of the time

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

You will report to the regional Manager/Lead.

The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases

• Work with engagement managers to scope variety of professional services work with input from the customer

• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications

• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

• Provide an escalated level of support for customer operational issues.

• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics

• Comfortable writing code in either Python or Scala

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps

• Design and deployment of performant end-to-end data architectures

• Experience with technical project delivery - managing scope and timelines.

• Documentation and white-boarding skills.

• Experience working with clients and managing conflicts.

• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.

• Travel to customers 20% of the time

Databricks Certification

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 base 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 anticipated 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 1 Pay Range $180,656-$248,360 USD

Zone 2 Pay Range $180,656-$248,360 USD

Zone 3 Pay Range $180,656-$248,360 USD

Zone 4 Pay Range $180,656-$248,360 USD

XML job scraping automation by YubHub

The ideal candidate will have a deep understanding of the travel industry and a proven track record of driving product innovation. You will work closely with cross-functional teams to develop partnerships that accelerate existing and new businesses, and drive features in major releases and for test and learn pilots.

Responsibilities:

• Build deep expertise on Airbnb in your market/region through user research, marketplace data, and an understanding of the competitive landscape.
• Work with other functional leaders in your market/region to articulate the product vision, strategy, and roadmap for Airbnb products and new businesses.
• Implement best-in-class product development and management practices, including relevant go-to-market kits and information packs for local teams.
• Maintain and articulate a product feature and roadmap prioritization plan in collaboration with local teams.
• Advocate for and execute new products that deliver impact for our business and users.
• Communicate concisely and influence outcomes across all levels of the company, including country and regional executive teams.

Requirements:

• 10-15 years of product management experience.
• Demonstrated track record of product leadership.
• Comfortable with doing individual contributor product management work.
• Success in building and scaling global consumer products and ecosystems that people love.
• Experience creating product messaging and delivering to customers and the media.
• Entrepreneurial track record of taking an idea to reality – start up experience a plus while capable of operating in a larger organization.
• Ability to effectively use data and perform business analysis to support product strategy/decisions.
• Capable of driving execution across teams in a fast-paced environment.
• Highly collaborative and results oriented.
• Ability and willingness to travel around 30-35% of the time.
• Fluency in English and at least one other local language (Spanish or Portuguese).

Our Commitment To Inclusion & Belonging:

Airbnb is committed to working with the broadest talent pool possible. We believe diverse ideas foster innovation and engagement, and allow us to attract creatively-led people, and to develop the best products, services and solutions. All qualified individuals are encouraged to apply.

XML job scraping automation by YubHub

RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time

XML job scraping automation by YubHub

Key Responsibilities:

• Build deep expertise on Airbnb's products and services through user research, marketplace data, and an understanding of the competitive landscape.
• Work with other functional leaders to articulate the product vision, strategy, and roadmap for Airbnb's products and new businesses.
• Implement best-in-class product development and management practices, including relevant go-to-market kits and information packs for local teams.
• Maintain and articulate a product feature and roadmap prioritization plan in collaboration with local teams.
• Advocate for and execute new products that deliver impact for our business and users.
• Communicate concisely and influence outcomes across all levels of the company, including country and regional executive teams.

Requirements:

• 10-15 years of product management experience.
• Demonstrated track record of product leadership.
• Comfortable with doing individual contributor product management work.
• Success in building and scaling global consumer products and ecosystems that people love.
• Experience creating product messaging and delivering to customers and the media.
• Entrepreneurial track record of taking an idea to reality – start-up experience a plus while capable of operating in a larger organization.
• Ability to effectively use data and perform business analysis to support product strategy/decisions.
• Capable of driving execution across teams in a fast-paced environment.
• Highly collaborative and results-oriented.
• Ability and willingness to travel frequently (30-35% of the time).
• Fluency in English and at least one other local language (Spanish or Portuguese).

Note: This role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

You will report to the regional Manager/Lead.

The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases

• Work with engagement managers to scope variety of professional services work with input from the customer

• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications

• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

• Provide an escalated level of support for customer operational issues.

• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics

• Comfortable writing code in either Python or Scala

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps

• Design and deployment of performant end-to-end data architectures

• Experience with technical project delivery - managing scope and timelines.

• Documentation and white-boarding skills.

• Experience working with clients and managing conflicts.

• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.

• Travel to customers 20% of the time

Databricks Certification

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 base 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 anticipated 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 1 Pay Range $180,656-$248,360 USD

Zone 2 Pay Range $180,656-$248,360 USD

Zone 3 Pay Range $180,656-$248,360 USD

Zone 4 Pay Range $180,656-$248,360 USD

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

You will report to the regional Manager/Lead.

The impact you will have:

• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases

• Work with engagement managers to scope variety of professional services work with input from the customer

• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications

• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

• Provide an escalated level of support for customer operational issues.

• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics

• Comfortable writing code in either Python or Scala

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps

• Design and deployment of performant end-to-end data architectures

• Experience with technical project delivery - managing scope and timelines.

• Documentation and white-boarding skills.

• Experience working with clients and managing conflicts.

• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.

• Travel to customers 20% of the time

Databricks Certification

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 base 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 anticipated 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 1 Pay Range $180,656-$248,360 USD

Zone 2 Pay Range $180,656-$248,360 USD

Zone 3 Pay Range $180,656-$248,360 USD

Zone 4 Pay Range $180,656-$248,360 USD

XML job scraping automation by YubHub

As a Resident Solutions Architect in our Professional Services team, you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers get the most value out of their data.

Responsibilities:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope various professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build, and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which lead to a customer's successful understanding, evaluation, and adoption of Databricks
• Provide an escalated level of support for customer operational issues
• Work with the Databricks technical team, Project Manager, Architect, and Customer team to ensure the technical components of the engagement are delivered to meet customer needs
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues

Requirements:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
• Travel to customers 20% of the time

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range for this role is $180,656-$248,360 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.

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.

XML job scraping automation by YubHub

You'll leverage your consultative sales expertise and passion for social impact to secure strategic partnerships with nonprofits, foundations, INGOs, educational institutions, and social enterprises across the EMEA market.

This is a player-coach role requiring someone who can personally close complex deals while building a high-performing regional team. You'll operate with significant autonomy across time zones while maintaining tight alignment with global strategy.

The ideal candidate brings deep experience in the EMEA nonprofit or social impact technology landscape, established relationships with mission-driven institutions, and a proven track record of building teams that drive revenue and mission impact simultaneously.

Role Focus

This role will lead EMEA sales efforts across Beneficial Deployments verticals, which currently include:

• Nonprofits & Foundations: INGOs, charitable trusts, foundations, and social enterprises across Europe, Middle East, and Africa.
• Education: Educational institutions, EdTech organisations, and learning-focused nonprofits working to expand access and improve outcomes.
• Emerging Markets: Partnerships in Africa and India with organisations driving social impact at scale.

Responsibilities

• Win new business and drive revenue for Anthropic within EMEA mission-driven organisations.
• Build and lead a regional team supporting EMEA customers, both inbound and outbound.
• Design and execute innovative sales strategies tailored to diverse EMEA contexts.
• Navigate complex stakeholder ecosystems including INGO executive teams, foundation programme officers, university leadership, trustees, executive directors, and IT departments.
• Develop and maintain relationships with key EMEA ecosystem players.
• Inform product roadmaps by gathering feedback from EMEA nonprofit and education users.
• Continuously refine the EMEA sales methodology by incorporating learnings into playbooks, templates, and best practices.

Requirements

• 8+ years of B2B sales experience in nonprofit technology, EdTech, or social impact sectors, preferably in EMEA SaaS or emerging technologies.
• Track record of managing complex sales cycles within nonprofits, INGOs, foundations, or educational institutions.
• Experience building and scaling sales teams.
• Deep understanding of nonprofit or education sector operations.
• Demonstrated ability to navigate diverse stakeholder ecosystems.
• Proven experience exceeding revenue targets.
• Excellent communication skills.
• Fluency in English required; proficiency in French valued given Francophone Africa coverage; additional European languages a plus.

Logistics

Location: London. Must be able to travel within EMEA (up to 30%) and to SF headquarters quarterly. Time Zone Coverage: Must maintain regular overlap with SF-based teams (typically 4-5 hours daily) while covering EMEA business hours. Travel: Regular travel within EMEA for customer meetings, conferences, and team gatherings; quarterly travel to SF for alignment and planning.

XML job scraping automation by YubHub

You will work on a variety of impactful customer technical projects, including designing and building reference architectures, creating how-to's and productionalizing customer use cases. You will also work with engagement managers to scope professional services work with input from the customer, guide strategic customers as they implement transformational big data projects, and consult on architecture and design.

To be successful in this role, you will need to have 6+ years of experience in data engineering, data platforms, and analytics, be comfortable writing code in either Python or Scala, and have working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one. You should also have deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals.

The pay range for this role is $180,656-$248,360 USD, and the total compensation package may also include eligibility for annual performance bonus, equity, and benefits.

XML job scraping automation by YubHub

You will be laser-focused on growing partner revenue, activating and scaling repeatable joint go-to-market programs, and embedding partner marketing into the region's broader growth strategy. Working closely with regional partners, partner sales, and internal marketing teams, you will execute high-impact campaigns, build strong partner communities, and optimize performance through data-driven insights.

The ideal candidate is a highly motivated self-starter with proven experience in B2B and cybersecurity partner marketing, strong attention to detail, and a passion for working across diverse partner ecosystems. You thrive in fast-growth environments, are obsessed with measurable results, and consistently turn strategy into tangible outcomes.

Key responsibilities include:

• Stakeholder Collaboration: Partner with regional Partner Sales Directors, Partner Account Managers, and internal marketing teams to align marketing activities with regional targets and business priorities.

• MDF Coordination: Manage the Market Development Funds (MDF) program, including partner submissions, timely execution, and ROI reporting for all partner activities.

• Partner Marketing Execution: Execute joint webinars, virtual and in-person events, and digital campaigns to drive demand generation and solution adoption.

• Marketing Content Localization: Adapt global marketing campaigns and assets for local partners, tailoring messaging to cultural and business nuances in APAC.

• Performance Tracking & Reporting: Monitor KPIs for partner programs, provide insights, and recommend optimizations to leadership.

• Partner Relationship Management: Maintain strong relationships with key distributors and partners, supporting their marketing initiatives and ensuring alignment with Cloudflare strategy.

• Cloudflare Brand Ambassador: Represent Cloudflare at partner events and industry conferences, serving as a brand ambassador and solution expert.

This role requires a strong understanding of enterprise cybersecurity challenges across APAC, as well as experience managing MDF and budgets, with a focus on data-driven decisions and ROI analysis.

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

You will report to the regional Manager/Lead.

The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases

• Work with engagement managers to scope variety of professional services work with input from the customer

• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications

• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

• Provide an escalated level of support for customer operational issues.

• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 6+ years experience in data engineering, data platforms & analytics

• Comfortable writing code in either Python or Scala

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps

• Design and deployment of performant end-to-end data architectures

• Experience with technical project delivery - managing scope and timelines.

• Documentation and white-boarding skills.

• Experience working with clients and managing conflicts.

• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.

• Travel to customers 20% of the time

Databricks Certification

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 base 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 anticipated 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 1 Pay Range $180,656-$248,360 USD

Zone 2 Pay Range $180,656-$248,360 USD

Zone 3 Pay Range $180,656-$248,360 USD

Zone 4 Pay Range $180,656-$248,360 USD

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
• Provide an escalated level of support for customer operational issues

What we look for:

• 9+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Capable of design and deployment of highly performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts
• Experience in building scalable streaming and batch solutions using cloud-native components
• Travel to customers up to 20% of the time

Nice to have:

• Databricks Certification

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 base 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 anticipated 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 1 Pay Range $180,656-$248,360 USD Zone 2 Pay Range $180,656-$248,360 USD Zone 3 Pay Range $180,656-$248,360 USD Zone 4 Pay Range $180,656-$248,360 USD

XML job scraping automation by YubHub

Your responsibilities will include:

• Designing and building reference architectures for customers
• Creating how-to's and productionalizing customer use cases
• Guiding strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consulting on architecture and design; bootstrapping or implementing customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
• Providing an escalated level of support for customer operational issues
• Working with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs
• Working with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

To be successful in this role, you will need:

• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines
• Documentation and white-boarding skills
• Experience working with clients and managing conflicts
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
• Travel to customers 20% of the time

The pay range for this role is $180,656-$248,360 USD per year, depending on location and experience.

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

You will report to the regional Manager/Lead.

The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 9+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Capable of design and deployment of highly performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Experience in building scalable streaming and batch solutions using cloud-native components
• Travel to customers up to 20% of the time

Nice to have:

• Databricks Certification

XML job scraping automation by YubHub

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

You will report to the regional Manager/Lead.

The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• Work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 9+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Capable of design and deployment of highly performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Experience in building scalable streaming and batch solutions using cloud-native components
• Travel to customers up to 20% of the time
• Nice to have: Databricks Certification

XML job scraping automation by YubHub

This role demands a master of strategic planning and operational excellence. You will manage complex global initiatives, collaborate with cross-functional stakeholders, and translate business needs into world-class learning experiences. You are joining a high-performance team that recently tripled our trained partner base in just 12 months, using innovative learning models to transform the Databricks ecosystem at scale.

Key Responsibilities:

• Design Technical Enablement Programs: Architect comprehensive enablement programs such as Advanced Technical Academies, Delivery Specializations, and technical onboarding to drive partner technical proficiency. In collaboration with Subject Matter Experts, you will define end-to-end learning paths, encompassing curriculum, assessments, and success metrics

• Strategic Alignment: Partner with leadership and partner-facing teams to identify critical skills gaps and translate business requirements into high-impact enablement initiatives.

• Technical Roadmap Leadership: Own the roadmap for technical programs, including large-scale learning events, global workshop schedules, and GTM strategies for enablement.

• Performance Accountability: Drive results for your partner portfolio, maintaining full ownership of key metrics such as training completion and certification targets.

• Data-Driven Insights: Monitor and analyze KPIs (Certification rates, ROI, and program impact) to continuously optimize enablement effectiveness.

• Quality Assurance & Coaching: Oversee the technical integrity of programs launched across the team. Evaluate and coach cross-functional training resources to ensure 'best-in-class' delivery.

Minimum Qualifications:

• Education: Bachelor's degree in a technical discipline or equivalent practical experience.

• Experience: 7+ years of experience developing and scaling technical learning programs within a global enterprise tech ecosystem.

• Technical Depth: Deep understanding of Data & AI technologies (Data Warehousing, Data Transformation, ML, and Generative AI); ideally holds at least one industry certification in these areas.

• Consulting Background: Proven experience as part of a technical delivery team, successfully implementing Data & AI projects for external clients.

• Ecosystem Knowledge: Strong understanding of the System Integrator (SI) business model and how technical partners successfully go to market.

• Program Management: Proven track record of managing technical competency models and learning journeys for large, geographically dispersed teams.

• Communication: Exceptional verbal and written communication skills with the ability to influence senior cross-functional stakeholders.

Preferred Qualifications:

• Strong background in the Generative AI landscape.

• Experience scaling technical enablement within 'Hyperscaler' environments (AWS, Azure, or GCP) or similar high-growth cloud partner ecosystems.

XML job scraping automation by YubHub

As a Senior Big Data Solutions Architect (Sr Resident Solutions Architect) in our Professional Services team, you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform.

You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data.

RSAs are billable and know how to complete projects according to specification with excellent customer service.

You will report to the regional Manager/Lead.

The impact you will have:

• Work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases

• Work with engagement managers to scope variety of professional services work with input from the customer

• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications

• Consult on architecture and design; bootstrap hands-on projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.

• Provide an escalated level of support for customer operational issues.

• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.

• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.

What we look for:

• 9+ years experience in data engineering, data platforms & analytics

• Comfortable writing code in either Python or Scala

• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one

• Deep experience with distributed computing with Apache Spark™ and knowledge of Apache Spark™ runtime internals

• Familiarity with CI/CD for production deployments

• Working knowledge of MLOps

• Capable of design and deployment of highly performant end-to-end data architectures

• Experience with technical project delivery - managing scope and timelines.

• Documentation and white-boarding skills.

• Experience working with clients and managing conflicts.

• Experience in building scalable streaming and batch solutions using cloud-native components

• Travel to customers up to 20% of the time

Nice to have: Databricks Certification

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 base 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 anticipated 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 1 Pay Range $180,656-$248,360 USD

Zone 2 Pay Range $180,656-$248,360 USD

Zone 3 Pay Range $180,656-$248,360 USD

Zone 4 Pay Range $180,656-$248,360 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.

XML job scraping automation by YubHub

You'll work with the fastest-growing AI-focused startups in the region, driving adoption of frontier AI through bespoke LLM solutions. You'll build and grow a cross-functional technical team, establish best practices for startup engagements, and represent Anthropic as a technical leader across the region.

In collaboration with Sales, Product, and Engineering, you'll help startups incorporate AI into their products and platforms. A core part of this role is building Anthropic's technical brand across the EMEA startup ecosystem through hands-on engagements, workshops, developer content, and strategic partnerships with accelerators and VCs.

Responsibilities:

• Build, hire, lead, and mentor a team of Applied AI Architects and Applied AI Engineers supporting EMEA Startups

• Partner with EMEA GTM leadership and Sales to build market-specific strategies that drive adoption and technical mindshare among startups

• Engage hands-on with highest-value EMEA startups on advanced LLM integration, deployment, and adoption

• Travel regularly across EMEA for customer workshops, ecosystem events, accelerator demo days, and conferences

• Build technical mindshare among early-adopter startups through developer workshops, technical content, hackathons, and community programmes

• Build relationships with VCs, accelerators, and incubators to position Anthropic as the platform of choice for emerging companies

• Surface product feedback and market intelligence from EMEA startup engagements back to Product and Engineering

You may be a good fit if you have:

• 7+ years of experience as a Forward Deployed Engineer, Customer Engineer, Sales Engineer, Applied AI Architect, or Applied AI Engineer

• Minimum 5+ years of management experience (ideally 7+) leading hands-on, technical, customer-facing teams, with a track record of hiring and scaling teams rapidly

• Experience building AI-native products and working with AI-native startups, ideally across multiple EMEA markets

• Enjoy building distributed teams across geographies in unstructured environments

• Strong executive presence and ability to build deep relationships across diverse cultural contexts

• Familiarity with the architecture and operation of large language models

• Passion for making powerful technology safe and societally beneficial

• Willingness to travel frequently across EMEA (estimated 30–40% travel)

Nice to have:

• Second-line management experience across different technical functions (e.g., managing both Applied AI Architecture and Engineering leads)

• Founder or early-stage startup/scaleup experience: you understand the pace, constraints, and mindset of the companies you’ll be serving

• Experience operating across multiple EMEA markets with understanding of regional startup ecosystems and go-to-market dynamics

• Proficiency in one or more additional EMEA languages (e.g., French, German, Spanish, Italian, Swedish, Hebrew)

The annual compensation range for this role is £325,000-£390,000 GBP.

XML job scraping automation by YubHub

You'll own the full sales cycle from prospecting to closing, working with senior leaders to help them modernize the Telecommunications industry and operations with Anthropic's AI solutions.

Key responsibilities include owning and exceeding revenue targets, building and executing territory plans, leading consultative sales processes, and orchestrating internal teams to deliver solutions that meet stringent security, compliance, and procurement requirements.

To succeed in this role, you'll need 8+ years of enterprise sales experience in Japan with significant exposure to Telecommunications sector accounts, driving adoption of emerging technologies with a consultative, solutions-oriented sales approach.

You'll also need a track record of managing complex, long-cycle sales processes and securing strategic deals with government entities by understanding Telecommunications sector procurement requirements and crafting compliant solutions.

Additionally, you'll need demonstrated ability to navigate Telecommunications stakeholder ecosystems, building consensus across multiple departments, budget authorities, and approval layers.

Proven experience exceeding revenue targets by effectively managing pipeline across different government fiscal timelines is also essential.

A knack for bringing order to chaos and an enthusiastic 'roll up your sleeves' mentality are also required.

A strategic, analytical approach to identifying opportunities within Japan's Telecommunications sector combined with patient, relationship-focused execution is necessary.

A passion for and/or experience with advanced AI systems is also required, as well as excellent communication skills in both Japanese and English.

In return, you'll receive a competitive base salary and commission structure commensurate with experience, equity participation, comprehensive benefits package, hybrid work model with flexibility, and access to cutting-edge AI technology and world-class research team.

XML job scraping automation by YubHub

In collaboration with GTM, product, and marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to ensure differentiated value across the landscape.

jom the full sales cycle, from first outbound to launch

Design and execute innovative sales strategies to meet and exceed revenue quotas. Analyze market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities, partnerships, and campaigns

Spearhead market expansion by pinpointing new customer segments and use cases. Collaborate cross-functionally to differentiate our offerings and sustain a competitive edge

Inform product roadmaps and features by gathering customer feedback and conveying market needs. Provide insights that strengthen our value proposition and enhance the customer experience

Continuously refine the sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency

To be successful in this role, you'll need:

5+ years of enterprise sales experience driving adoption of emerging technologies with a consultative, solutions-oriented sales approach

A track record of managing complex sales cycles and securing strategic deals by understanding multifaceted technical requirements and crafting tailored solutions

Demonstrated ability to navigate dynamic stakeholder ecosystems, building consensus and providing innovative solutions to disparate groups

Extensive experience negotiating highly complex, customized commercial agreements with multiple stakeholders

Proven experience exceeding revenue targets in fast-paced organizations by effectively managing an evolving pipeline and sales process

Excellent communication skills and the ability to present confidently and build connections across all customer levels, from ICs to C-level executives

A knack for bringing order to chaos and an enthusiastic “roll up your sleeves'' mentality. You are a true team player

A strategic, analytical approach to assessing markets combined with creative, tactical execution to capture opportunities

A passion for and/or experience with advanced AI systems. You feel strongly about ensuring frontier AI systems are developed safely

The annual compensation range for this role is $290,000-$360,000 USD.

XML job scraping automation by YubHub

XML job scraping automation by YubHub

You'll leverage your consultative sales expertise to propel revenue growth while becoming a trusted partner to nonprofit leaders, helping them embed and deploy AI to amplify their impact across programme delivery, fundraising, research, and operations.

Win new business and drive revenue for Anthropic within EMEA nonprofit organisations, including INGOs, foundations, charitable trusts, and social enterprises. Own the full sales cycle from first outbound to launch, managing complex procurement processes across multiple jurisdictions.

Design and execute innovative sales strategies tailored to EMEA market dynamics, regulatory environments, and cultural contexts. Analyse market landscapes across UK, EU, and emerging markets to translate high-level plans into targeted sales activities.

Navigate complex stakeholder ecosystems including executive directors, trustees, programme officers, IT departments, and procurement committees across multiple geographies, building consensus in organisations with federated or matrix structures.

Serve as the regional expert on EMEA nonprofit market dynamics, regulatory requirements, and competitive landscape. Provide insights that strengthen our value proposition and inform product roadmaps for international deployments.

Build strategic relationships with EMEA nonprofit technology platforms, consultants, sector networks (e.g., Bond, NCVO, European Foundation Centre), and sector influencers to expand market reach.

Partner effectively with SF-based teams across time zones, contributing to global sales methodology development while adapting playbooks and best practices for EMEA markets.

This role requires 5+ years of experience prospecting and closing leads in EMEA markets, with particular focus on Spanish-speaking markets (Spain, Latin America where relevant to EMEA operations) and broader European market contexts.

Proven ability to manage complex, multi-country sales cycles and navigate varying procurement frameworks, budget cycles, and approval processes across EMEA.

Experience managing six-figure enterprise deal cycles.

Experience selling to organisations with federated structures, matrix decision-making, or multi-entity governance (e.g., international federations, umbrella organisations).

Demonstrated history of exceeding quota while operating autonomously across time zones with limited direct supervision.

Excellent communication skills with ability to adapt style across cultural contexts and present confidently to stakeholders from diverse backgrounds.

Fluency in English required; native or professional fluency in Spanish required. Proficiency in additional languages (French, Portuguese) a plus.

Passion for emerging technologies like AI, with interest in ensuring they are developed safely and responsibly.

Interest in or passion for social impact and mission-driven work.

Strong candidates may also have experience selling to or working with EMEA nonprofit organisations, INGOs, foundations, or government/bilateral agencies (e.g., FCDO, GIZ, EU institutions).

Understanding of international development funding mechanisms, including institutional donors, bilateral agencies, and European foundation giving.

Familiarity with nonprofit technology ecosystems popular in EMEA, including CRMs (Salesforce NPSP, Blackbaud, CiviCRM), and platforms like Raiser's Edge.

Active involvement in the EMEA nonprofit community through board service, volunteering, or prior employment.

Experience navigating complex procurement with major INGOs (e.g., Save the Children, Oxfam, MSF, IRC) or large UK charities.

Understanding of specific nonprofit verticals in EMEA contexts (humanitarian, development, environment, health, migration).

Existing network within Spanish-speaking nonprofit, INGO, or social sector communities strongly preferred.

Location: London or Dublin preferred.

Travel: Up to 40% travel within EMEA for customer meetings and events; quarterly travel to SF headquarters expected.

Education: Bachelor's degree or equivalent experience.

Visa Sponsorship: We sponsor visas where possible and retain immigration support for successful candidates.

Annual Salary: £195,000-£280,000 GBP

XML job scraping automation by YubHub

XML job scraping automation by YubHub

XML job scraping automation by YubHub

XML job scraping automation by YubHub

XML job scraping automation by YubHub

We empower high-performing teams at brands like InDrive, McDonald's, Rappi, and Viva Aerobus to integrate over 1,000 payment methods via a single API. By leveraging advanced AI and the latest technologies, we orchestrate smart routing and fraud prevention across 190+ countries.

About The Role

We are orchestrating the best high-performing team! We're looking for a VP of Sales & Business Development to lead our commercial expansion across Spanish-speaking Latin America , specifically within our Banking & Financial Services vertical. This is one of Yuno's key strategic growth bets, and this role sits at the center of it.

You will own the full sales cycle with banks, acquirers and financial institutions, from first contact to closed deal and successful onboarding. The banking and financial services landscape in Latin America is evolving at an extraordinary pace. You will need to stay ahead of it, constantly researching the market, identifying where real opportunities exist for Yuno's payment infrastructure, and building strategies that convert insight into pipeline.

At Yuno, we don't settle for average results. We expect people who set ambitious targets and then find a way to exceed them, even when the path isn't straightforward. This role sits at the intersection of sales, relationship-building, and market intelligence within a highly specialized vertical.

You will work closely with teams across Marketing, Product, and Customer Experience to ensure every client interaction is consistent, informed, and built for the long term. Collaboration across functions isn't a nice-to-have here , it's how complex deals in financial services actually get done.

You will also be expected to bring client and market feedback directly into the product conversation, helping shape what we build based on what banks, fintechs, and financial players in the region truly need.

Yuno's banking vertical is a strategic priority, not a supporting one. You'll work directly with senior leadership , including Mauricio Schwartzmann, Chief Banking and Financial Institutions Officer , to shape how Yuno positions itself with the region's most important financial players.

The deals you close and the alliances you build will directly influence Yuno's trajectory in one of the world's most dynamic payments markets.

If you thrive on ownership, move fast without losing precision, and get energized by opening doors in one of the most dynamic verticals in payments, this role was built for you.

Your contribution will be

Own the full sales cycle within the Banking & Financial Services vertical in Spanish-speaking LATAM, from prospecting and lead generation to deal closing and merchant onboarding

Identify and target banks, fintechs, and financial institutions across LATAM that can benefit from Yuno's payment solutions

Develop relationships with C-suite and VP-level decision makers at major financial institutions across the region

Develop tailored engagement and go-to-market strategies for high-value prospects in the financial sector

Lead complex negotiations with enterprise clients, focusing on long-term, mutually beneficial agreements

Build and maintain strong relationships with key clients and strategic industry partners within the financial ecosystem

Stay current on payments market trends, regulatory dynamics, and client needs across the Banking & Financial Services space in the region

Collaborate cross-functionally with Marketing, Product, Finance, Legal, and Customer Experience to ensure a cohesive approach to the vertical

Gather and channel client feedback to inform Yuno's product and service development for financial industry use cases

Track sales targets and deliver regular progress reports and insights to leadership

Represent Yuno at industry events, forums, and regulatory discussions as a credible voice in payments and financial infrastructure

XML job scraping automation by YubHub

Who We Are

At Yuno, we are building the payment infrastructure that allows all companies to participate in the global market. Our technology provides access to leading payment capabilities, enabling companies to engage customers confidently and maintain global operations through seamless integrations.

About The Role

We are looking for a Head of Partnerships North America to expand and strengthen Yuno's global ecosystem of payment providers, financial institutions, and technology partners. As a key member of our team, you will play a crucial role in building strategic relationships, driving business growth, and shaping the future of payments.

Responsibilities

• High-Value Partner Portfolio: Source, negotiate, and manage strategic alliances with payment providers, fintechs, banks, PSPs, platforms, consultancies, and technology partners
• Growth Acceleration: Structure partnerships that drive adoption, revenue growth, and expand Yuno's footprint in existing and new markets
• Revenue-Driven Partnerships: Build partnerships that directly drive revenue through co-selling, integrations, and referrals
• Primary Relationship Owner: Act as the lead contact for strategic partners, ensuring alignment, performance, and long-term value on both sides
• Partner Enablement: Collaborate with Sales, Marketing, and Product to create partner enablement materials, GTM plays, and co-marketing efforts
• Cross-Functional Leadership: Work closely with Sales, Marketing, Product, and Operations to ensure partnerships deliver measurable results
• Market Influence: Represent Yuno at industry events to strengthen our thought leadership in US and global payments
• Scalability & Metrics: Define success metrics and operational workflows to make partnerships scalable, repeatable, and impactful
• Own and set strategy for North America and potentially neighboring countries (i.e. Mexico)
• Identify, evaluate, and develop strategic partnership opportunities aligned with Yuno's business goals
• Build and maintain strong partner relationships to drive new business opportunities and increase mutual value
• Assist in negotiating and structuring partnership agreements, ensuring alignment with internal policies, pricing strategy, and performance expectations
• Monitor partnership KPIs and performance, delivering data-driven insights and actionable recommendations for continuous improvement
• Lead and coordinate partner-focused initiatives such as co-branded events, PR campaigns, and ecosystem engagement strategies
• Ensure our partners are equally promoting Yuno across their channels and networks
• Collaborate closely with internal teams (Sales, Marketing, Product) to maximize the impact of each partnership

Skills You Need

Minimum Qualifications

• 7+ years of experience in Partnerships or related fields.
• Strong commercial acumen and negotiation skills.
• Experience managing strategic external stakeholders.
• Understanding of payment ecosystems (PSPs, acquirers, orchestration).
• Strong analytical mindset with the ability to evaluate partnership performance and business cases.
• Proven AI user in your day to day with clear examples
• Excellent cross-functional collaboration skills.
• Fluency in English

Preferred Qualifications

• Experience in fintech, SaaS, or high-growth technology companies.
• Experience expanding into new markets or regions and leading G2M with partners.
• Ability to operate autonomously in fast-paced environments.
• Strong communication and executive presentation skills.
• Strategic thinking combined with hands-on execution.
• Leadership experience in managing a team or mentorship.
• Strong prioritization skills with the ability to focus on high-impact initiatives and effectively manage competing demands
• Fluency in Spanish is a Plus.

What We Offer at Yuno

• Competitive Compensation
• Remote Work – You can work from everywhere!
• Home Office Bonus – A one-time allowance to help you create your ideal home office.
• Work Equipment
• Stock Options
• Health Plan wherever you are.
• Flexible Days Off

XML job scraping automation by YubHub

Yubico was founded in 2007 by Stina and Jakob Ehrensvard, and is public on Nasdaq Stockholm Main Market: YUBICO. Our customers include Fortune 500 companies, hundreds of government agencies and millions of individuals in over 160 countries that rely on Yubico technology to secure access to computers, online services and mobile apps.

The Role: The Director, Channel Marketing will play a critical role in accelerating Yubico’s global channel pipeline by scaling marketing engagements, strengthening global distributor relationships, and elevating Yubico’s visibility across our worldwide partner ecosystem.

Tasks & Responsibilities:

• Lead and develop a global team of channel marketing managers across the Americas, EMEA, and APJ.
• Define and execute Yubico’s global channel marketing strategy, including annual planning, partner segmentation, and integrated GTM priorities.
• Directly manage strategic distributor relationships in the Americas, owning joint planning, quarterly reviews, and marketing execution.
• Build and manage annual channel marketing plans for key distributors, ensuring alignment with global strategy and regional sales priorities.
• Develop scalable global channel programs such as webinars, digital campaigns, content syndication, events, and co-branded initiatives.
• Oversee global MDF governance, including budget planning, proposal review, approval workflows, and ROI tracking.
• Track and analyze partner performance, campaign effectiveness, and pipeline contribution to drive data-backed optimization.
• Serve as a global liaison across regional teams to support product launches, partner programs, and cross-regional alignment.

Basic Qualifications:

• 15+ years of B2B technology marketing experience, with 10+ years in channel or partner marketing roles.
• Proven success managing distributor-led marketing programs, ideally across Americas, Public Sector, and LATAM markets.
• Experience managing a team (global team leadership preferred).
• Deep understanding of global channel ecosystems, including distributor and reseller dynamics across US, EMEA, and APJ.
• Strong expertise in MDF planning, co-marketing execution, and ROI reporting.
• Excellent relationship-building and communication skills with the ability to influence internal and external stakeholders at all levels.
• Analytical mindset with the ability to derive insights from data and translate them into action.
• Highly organized, self-starter who thrives in a fast-paced, high-growth environment.
• Bachelor’s degree in Marketing, Business, or related field; MBA a plus.

Additional Information

#LI-Remote#LI-LV1

XML job scraping automation by YubHub

As a Temporary Context Director, you will lead integrated communications and cultural strategy across all McDonald's AACM workstreams, translating business objectives into full-funnel channel architecture and campaign systems. You will own annual and campaign-level StratPack deliverables, ensuring outputs directly inform media, creative, and investment decisions.

Key responsibilities include:

• Direct media strategy inputs in partnership with MIAT and Publicis teams, shaping channel mix, audience strategy, well-rationalized media partner recommendations, custom partnership evaluation, and Investment Briefing recommendations
• Lead Custom Partnerships strategy and oversight, from RFI/RFP development through execution, ensuring cultural credibility and measurable business impact
• Pressure-test creative concepts, talent casting, and campaign rollouts through a culturally fluent lens rooted in African-American consumer insight
• Provide ongoing audience intelligence and marketplace POV to inform Always-On brand stewardship and long-term planning
• Maintain senior-level client relationships, influencing cross-agency alignment and strengthening Translation's credibility as a media-fluent strategic partner

Requirements include:

• Advanced integrated communications planning across paid, owned, earned, experiential, and custom partnerships
• Strong command of audience strategy, channel role definition, and reach/frequency implications
• Ability to translate cultural research and data into clear, commercially grounded recommendations
• Deep fluency in African-American consumer dynamics, subcultures, and media behaviors
• Expertise evaluating media partners and partnerships using audience fit, indexing, and performance signals
• Executive-level presentation and stakeholder management skills
• Operational discipline within complex, matrixed, multi-agency systems

Minimum qualifications include 7+ years of experience in communications planning, connections planning, integrated media strategy, or cultural strategy within an agency or brand environment.

Preferred qualifications include experience working on QSR and/or large-scale retail brands, experience within complex Integrated Agency Team (IAT) ecosystems, direct involvement in Investment Briefings, RFI/RFP development, and custom partnership negotiations, experience mentoring, coaching, and developing mid-to-senior planners, and deep organizational and operational skills adapted to high-paced workflows.

XML job scraping automation by YubHub

This role requires a design leader who has extensive experience designing for mobile apps and responsive web products, bringing consistency, craft, and clarity across platforms. You must be comfortable alternating between high-level UX strategy, pixel-level detail, and customer discovery. You’ll partner with Product, Engineering, Marketing, and Data Science to deliver intuitive, artist-first experiences that drive growth, retention, and label partner success.

Responsibilities:

• Define and articulate a multi-platform UX strategy spanning iOS, Android, and web.
• Establish a unified design language and systems that scale across mobile and desktop experiences.
• Champion simplicity, accessibility, and consistency across all surfaces.

Hands-On Design Execution (Player/Coach):

• Deliver high-quality designs and prototypes for mobile apps and web interfaces, demonstrating mastery of platform-specific interaction patterns.
• Lead critical product surfaces including onboarding, distribution tools, subscription areas, analytics, payments, and artist monetization features.
• Collaborate directly with engineers to ensure designs are technically feasible and implemented with high fidelity across platforms.
• Coach designers on mobile UI patterns, responsive design, gesture-based interaction, and layout systems.

User Research & Customer Insight:

• Conduct user interviews, usability tests, concept evaluations, and surveys across mobile and web contexts.
• Build a deep understanding of how artists and label partners use our products across devices.
• Turn insights into product opportunities, UX improvements, and roadmap guidance.
• Evangelize research findings across executives and cross-functional teams.

Team Leadership & Operations:

• Manage, mentor, and develop a small but high-impact UX/UI design team.
• Establish design critique rituals, quality standards, and platform-specific guidelines for mobile and web.
• Implement design ops practices to streamline workflows, improve velocity, and reduce design debt.
• Build career paths, growth plans, and structures for scaling the UX function.

Cross-Functional Partnership:

• Collaborate tightly with Product and Engineering to shape requirements, define success metrics, and plan releases across mobile and web.
• Work with Data Science, Artist Relations, and Marketing to create culturally resonant, data-informed experiences.
• Influence roadmap and prioritization using clear UX rationale and customer insights.

Knowledge, Skills and Abilities:

• Strong project management skills and ability to prioritize work to successfully balance several work streams at a time.
• Ability to pay meticulous attention to detail and possess a deeply pro-active, hands-on mentality.
• Possess deep appreciation and sensitivity towards people, culture, and values.
• Ability to execute on priorities with a strong sense of urgency, ownership, and accountability.
• Ability to handle confidential and sensitive information with tact, diplomacy, and discretion.
• Proactive collaborator among various stakeholders and peers.
• Personable, smart, passionate, and optimistic.

Minimum Qualifications:

• 8+ years of UX/UI or product design experience for consumer-facing mobile apps (iOS + Android) and responsive web products.
• 3+ years managing designers or leading design teams.
• Strong portfolio showing high-quality cross-platform design work, including flows, visual systems, and interaction patterns.
• Demonstrated experience as a hands-on designer and player/coach.
• Expertise in user research, usability testing, customer discovery, and insight synthesis.
• Proficiency with Figma, prototyping tools, mobile design systems, and responsive layout frameworks.
• Exceptional communication and storytelling capabilities.

Preferred Qualifications:

• Experience in creator platforms, music tech, digital media, or marketplace ecosystems.
• Familiarity with experimentation/analytics systems (A/B testing, funnels, behavioral data).
• History of partnering deeply with engineering teams to ship mobile and web features at scale.
• Ability to coach designers across mobile interaction patterns, responsive best practices, UX writing, visual craft, and systems thinking.

XML job scraping automation by YubHub

Location: Remote, US

Department: Partner Sales

Job Description: The Director, Partner Field Sales works within Tanium's Global Partner Sales team to recruit, enable, and align our sales and technical teams with our partners to achieve regional and area sales targets.

This role will own, develop and execute territory plans, account mapping exercises and partner services alignment supporting Tanium's regional sales strategy.

Essential Job Functions:

Directly support sales leadership and partners to accelerate planning, customer prospecting and overall new customer and ARR growth.

Align to sales regions to drive regional sales engagements with all partner types and pathways.

Be the single point of contact for sales leadership within the West region.

Proactively work with partners to build and execute joint business and territory account mapping plans.

Educate Tanium sales teams on partners unique value propositions and coach them on how to work with partners to increase their productivity.

Create a thoughtful partner GTM strategy for all sales leaders within region.

Align key strategic partners to top prospects and accounts to drive large deals.

Be highly proficient in understanding and delivering all aspects of Tanium's value to both customers and partners.

Minimum & Preferred Job Qualifications:

7+ years of experience in a regional or national partner sales role in the IT Operations and/or IT Security industry required.

Experience creating a geographic partner business or national/global partnership.

Experience as a quota carrying seller or business development position with a successful track record strongly preferred.

Proactive style, capable of hands-on problem-solving, with the ability to generate ideas and solutions.

Ability to effectively communicate with technical, business development, sales, and executive roles.

Strong organisational skills with the ability to operate independently while managing internal and external stakeholder relationships.

Ability to enthusiastically evangelise the Tanium message to strategic partners and their customers.

Desire to own all parts of a partner lifecycle, starting with profiling/recruitment.

Proven success with sales ability and demonstrated knowledge of sales process.

Core Competencies:

Demonstrates initiative and motivation.

Excellent oral and written communication skills.

Team player.

Person of high ethics and integrity.

Ability to work in a fast-paced, changing environment.

About Tanium:

Tanium delivers the industry's only true real-time cloud-based endpoint management and security offering.

Its platform is real-time, seamless, and autonomous, allowing security-conscious organisations to break down silos between IT and Security operations that results in reduced complexity, cost, and risk.

Securing more than 32M endpoints around the world, Tanium's customers include Fortune 100 organisations, top US retailers, top US commercial banks, and branches of the U.S. Military.

It also partners with the world's biggest technology companies, system integrators, and managed service providers to help customers realise the full potential of their IT investments.

Tanium has been named to the Forbes Cloud 100 list for nine consecutive years and ranks on the Fortune 100 Best Companies to Work For.

For more information on The Power of Certainty, visit www.tanium.com and follow us on LinkedIn and X.

On a mission. Together.

At Tanium, we are stewards of a culture that emphasises the importance of collaboration, respect, and diversity.

In our pursuit of revolutionising the way some of the largest enterprises and governments in the world solve their most difficult IT challenges, we are strengthened by our unique perspectives and by our collective actions.

We are an organisation with stakeholders around the world and it's imperative that the diversity of our customers and communities is reflected internally in our team members.

We strive to create a diverse and inclusive environment where everyone feels they have opportunities to succeed and grow because we know that only together can we do great things.

Each of our team members has 5 days set aside as volunteer time off (VTO) to contribute to the communities they live in and give back to the causes they care about most.

What you'll get:

The annual base salary range for this full-time position is $80,000 to $245,000 and this position will also be commission eligible.

This range is an estimate for what Tanium will pay a new hire.

The actual annual base salary offered may be adjusted based on a variety of factors, including but not limited to, location, education, skills, training, and experience.

In addition to an annual base salary, team members will receive equity awards and a generous benefits package consisting of medical, dental and vision plan, family planning benefits, health savings account, flexible spending account, transportation savings account, 401(k) retirement savings plan with company match, life, accident and disability coverage, business travel accident insurance, employee assistance programs, disability insurance, and other well-being benefits.

For more information on how Tanium processes your personal data, please see our Privacy Policy.

XML job scraping automation by YubHub

You'll collaborate closely with regional leadership, global marketing, government relations, and product teams to deliver impactful campaigns that align with Shield AI's mission and strategic growth goals in the Middle East.

Responsibilities:

• Develop and execute the regional marketing strategy to build Shield AI's presence and brand recognition across the Middle East.
• Localize global campaigns and messaging to align with regional market dynamics, cultural nuances, and audience needs.
• Plan and manage regional events, including trade shows, defense exhibitions, and industry conferences , driving engagement with government, defense, and technology stakeholders.
• Support go-to-market and partnership marketing efforts with distributors, defense contractors, and government entities in the Middle East.
• Collaborate with the global communications team to ensure consistent brand storytelling across media, PR, and digital platforms.
• Develop region-specific content, such as press releases, customer success stories, and partner spotlights, tailored to local audiences and aligned with strategic defense priorities (sovereign capability, offset programs, localization, etc.).
• Manage and report on regional marketing budgets, KPIs, and ROI, optimizing investments for maximum impact and visibility.
• Act as the regional marketing point of contact, coordinating across internal and external teams to ensure alignment with business development and product goals.
• Provide market intelligence on competitive positioning, regional trends, and government policy developments relevant to Shield AI's mission.

Requirements:

• Exceptional communication skills in English and Arabic, both written and oral.
• 7+ years of experience in marketing, communications, or business development, ideally within aerospace, defense, or advanced technology sectors.
• Demonstrated success in developing and executing regional marketing programs across multiple Middle East markets.
• Strong understanding of B2G and B2B marketing in regulated, defense, or high-security industries.

Preferences:

• A deep understanding of regional defense ecosystems, including key entities such as EDGE Group, SAMI, GAMI, Tawazun, and PIF, and the ability to tailor Shield AI's messaging to align with their national capability-building objectives.
• A proven ability to execute at the speed of relevance , transforming content from a demo, test, or event into a compelling, shareable video or story within 24 hours, either directly or through coordination with local content creators and agencies.
• Experience integrating marketing with business development , ensuring every campaign directly supports capture efforts, partnership visibility, and program growth.
• Comfort operating in high-tempo environments such as major defense exhibitions, bilateral meetings, and executive-level forums.
• Strong creative instincts paired with operational discipline, balancing rapid execution with brand consistency and cultural sensitivity.
• An entrepreneurial, self-starting mindset, able to anticipate opportunities, mobilize resources quickly, and adapt messaging for maximum strategic effect.
• The ability to bridge cultures and communication styles across U.S. headquarters and Middle East partners , ensuring both global alignment and local authenticity.

XML job scraping automation by YubHub

As the initial QA owner, you will design, execute, and report on test cycles for enterprise applications and integrations. You will also define and implement QA operating rhythms and governance, including test plans, entry/exit criteria, defect triage, release readiness, and post-release validation.

Key responsibilities include:

• Building and owning the QA strategy for Enterprise Technology, including standards, test planning, and quality gates across the delivery lifecycle.

• Operating hands-on as the initial QA owner: design, execute, and report on test cycles (functional, integration, regression, and UAT support) for enterprise applications and integrations.

• Defining and implementing QA operating rhythms and governance: test plans, entry/exit criteria, defect triage, release readiness, and post-release validation.

• Partnering with product and delivery teams to translate requirements and user stories into testable acceptance criteria and comprehensive test coverage.

• Establishing and maintaining a QA toolchain (test case management, defect tracking, and reporting) and integrating it with existing delivery tooling where applicable.

• Driving integration and end-to-end testing across enterprise platforms, including but not limited to Salesforce, NetSuite, Workday, MuleSoft/integration layer, MES touchpoints, analytics platforms, Slack/Confluence, DocuSign, and Ashby.

• Designing and maintaining regression testing approaches to minimize production defects as systems scale and change velocity increases.

• Implementing lightweight automation where it adds clear value, prioritizing maintainability and high-impact regression coverage.

• Ensuring documentation, auditability, and traceability from requirements through testing and release, aligned with change management and internal control expectations.

• Tracking and communicating quality metrics (defect trends, test coverage, escape rate, cycle time) to drive continuous improvement.

The ideal candidate will have 7+ years of experience in Quality Assurance, Test Engineering, or QA leadership roles supporting enterprise technology products and integrated systems. They will also have demonstrated experience building or formalizing QA processes and operating models in a growing or scaling organization.

XML job scraping automation by YubHub

Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.

As the Engineering Manager for DPX, you'll lead a team of engineers building the products and platform that data partners use to manage their integrations with Plaid. The role requires a blend of technical depth, strategic thinking, and cross-functional leadership to scale partner-facing products from early-stage concepts to industry-leading infrastructure.

Responsibilities:

• Own technical execution and delivery for the DPX roadmap, including the Data Partner Dashboard, onboarding redesign, health monitoring, and migration tooling.
• Manage and grow a team of engineers across multiple locations.
• Partner with PM and cross-functional teams (Solutions Engineering, Data Partnerships, Data Partner Support) to align on priorities and unblock execution.
• Drive engineering quality: code reviews, design reviews, architectural decisions, reliability standards.
• Hire and develop engineers.
• Establish team processes and norms.

Qualifications:

• 6+ years of engineering experience, with 1.5 to 2 years managing engineering teams.
• Experience shipping customer-facing or partner-facing products.
• Strong systems design and architectural judgment.
• Track record of growing engineers and building team culture.
• Excellent communication skills, especially with non-engineering partners.
• Bonus: experience with API platforms, developer tooling, fintech, or partner ecosystems.

XML job scraping automation by YubHub

In this role, you will be the primary engineering counterpart to the Senior Product Manager for Data Enablement & Governance, jointly shaping the roadmap for enterprise analytics, shared definitions, and the tools that help Omada answer questions faster and more reliably.

You will design and evolve core data products, define patterns and standards used across the company, and drive the technical execution of initiatives that ensure our metrics, reports, and data products are scalable, governed, and trustworthy.

This is a high-impact, cross-functional Staff role working across Data Engineering, Data Science, Analytics, Product, IT, and business leaders.

Key Responsibilities:

Enterprise Data Architecture

• Own the vision and technical roadmap for Omada's enterprise data architecture, spanning ingestion, storage, modeling, and serving layers for analytics and applied statistics use cases.
• Design, implement, and evolve scalable, secure, and cost-efficient data solutions (datalakes, warehouses, marts, semantic layers) that support governed, cross-functional analytics and self-service.
• Define and socialize architectural patterns, data contracts, and integration standards used by data and product teams across the organization.
• Anticipate future needs (e.g., new product lines, new modalities, AI/ML workloads) and drive proactive architectural changes rather than reacting to incidents or point-in-time requests.

Data Modeling, Quality, and Governance Foundations

• Lead the design of logical and physical data models to support enterprise metrics, dashboards, and ad hoc analytics, with a focus on reusability and clear ownership.
• Implement robust data quality, validation, and monitoring frameworks that underpin trusted “single source of truth” definitions for core concepts (e.g., active member, MAU, GLP-1 member).
• Partner with the Senior Product Manager, Data Enablement & Governance to translate governance decisions (definitions, ownership, change-management processes) into concrete technical implementations in the data platform.
• Set standards and review mechanisms to ensure new pipelines, marts, and reports align with enterprise definitions and governance policies.
• Continuously improve performance, scalability, and cost-efficiency of data workflows and storage; lead deep dives and remediation for complex production issues.

Enterprise Data Products Lifecycle

• In close partnership with the Senior PM, define and deliver core, reusable data products (e.g., engagement, clinical, financial, client, care delivery datasets) that power dashboards, reporting, and self-service analytics.
• Co-Architect and implement technical foundations for AI-assisted analytics tools, governed semantic layers, and reporting applications that make analysts and business users more efficient.
• Partner with Product and Engineering teams owning tools like Amplitude, Tableau, and internal reporting tools to ensure consistent instrumentation, mapping to enterprise definitions, and scalable access patterns.
• Translate business and product requirements into resilient schemas, data services, and interfaces that are usable, maintainable, and auditable.
• Ensure production data delivery meets defined SLAs and supports downstream BI, reporting apps, and applied statistics workloads.
• Play a key role in cross-functional forums (e.g., Data Governance Committee, analytics communities) as the technical voice for feasibility, risk, and long-term platform health.

Technical Leadership, Mentorship, and Culture

• Lead large, multi-team technical initiatives,from design to implementation and rollout,setting a high bar for design docs, reviews, and execution quality.
• Mentor senior and mid-level engineers, elevating the team’s skills in data modeling, pipeline design, governance, and platform thinking.
• Help shape playbooks for how product squads and spokes engage with central data teams on new metrics, data products, and applied stats projects.
• Partner closely with Analytics, Data Science, Product, and business leaders to ensure data architecture and governance decisions are aligned with company OKRs and measurable business value.
• Proactively identify complexity, duplication, and fragility in existing systems; drive simplification and standardization with sustainable solutions.
• Model Omada’s values in day-to-day work, fostering a culture of trust, context-seeking, bold thinking, and high-impact delivery.

About You:

• 8+ years of experience building, maintaining, and orchestrating scalable data platforms and high-quality production pipelines, including significant experience in analytics or warehousing environments.
• Demonstrated Staff-level impact: leading cross-team technical initiatives, making architectural decisions that shaped a multi-year roadmap, and influencing stakeholders beyond your immediate team.
• Deep experience with cloud data ecosystems (e.g., AWS) and modern data warehouses (e.g., Redshift, Snowflake, BigQuery), including MPP query optimization.
• Strong background in data modeling for OLTP and OLAP, and designing reusable data products for BI, reporting, and advanced analytics.
• Hands-on experience implementing data quality, observability, and governance frameworks, ideally in a regulated or PHI/PII-sensitive environment.
• Experience partnering with Product Management and Analytics to define and deliver platform capabilities, not just point solutions.

Technical Skills:

• Strong proficiency in SQL (analytical and performance-tuned) and experience with relational and MPP databases.
• Proficiency in at least one modern programming language used in data engineering (e.g., Python, Java, Scala) and comfort applying software engineering best practices (testing, CI/CD, code review).
• Experience with workflow orchestration and data integration tools (e.g., Airflow) and event-driven or streaming patterns where appropriate.
• Familiarity with BI and analytics tools (e.g., Tableau, Amplitude, or similar) and how they integrate with governed data layers.
• Experience with data governance concepts (ownership, lineage, definitions, access controls) and their technical implementation in a modern data stack.
• Familiarity with AI tools for development.

Communication & Working Style:

• Excellent communication and collaboration skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Highly self-directed and comfortable operating in ambiguous, cross-functional problem spaces, creating clarity and direction where none exists.
• Strong sense of ownership and bias for impact; you care about outcomes for members, customers, and internal users, not just elegant systems.

Benefits:

• Competitive salary with generous annual cash bonus
• Equity grants
• Remote first work from home culture
• Flexible Time Off to help you recharge

XML job scraping automation by YubHub

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with teams distributed between France, USA, UK, Germany, and Singapore.

Role Summary

We are seeking a strategic and execution-focused Product Manager to help lead our integration and go-to-market efforts as part of our partnerships team. In this role, you will drive the product strategy, roadmap, and joint initiatives to grow adoption of Mistral AI Studio through our partner ecosystem.

Responsibilities

Customer and Market Understanding

• Conduct market research to understand ecosystem trends, cloud buyer personas, and competitive dynamics.

• Engage with customers to gather feedback and validate product positioning, integrations, and features.

Product Vision and Strategy

• Define and champion the vision and roadmap for our partner strategy.

• Collaborate with cross-functional teams (science, GTM, marketing) to align product strategy with business objectives.

• Identify opportunities to innovate throughout the partner ecosystem.

Product Development

• Work closely with partner teams and Mistral engineering to define, prioritize, and build product integrations.

• Ensure our technical architecture supports security standards, scalability, and co-sell eligibility.

Go-to-Market Strategy

• Co-create and execute a joint GTM strategy with field and partner marketing teams to accelerate co-sell motion.

• Define value propositions, key differentiators, and messaging tailored to partner-specific personas.

• Lead packaging and pricing discussions for partner offers, ensuring alignment with enterprise use cases.

High-Quality Execution

• Drive high-quality product execution, delivering intuitive and impactful products on time and within budget.

• Architect the product around partner services and identify additional custom development requirements.

User Experience and Feedback

• Partner with UX and design teams to create seamless, intuitive experiences for partner-native user journeys.

• Incorporate continuous feedback from partner Preview programs, beta testing, and telemetry to refine features.

Performance Metrics

• Establish and track KPIs (revenue generation, active users, usage, retention, user satisfaction, CAC, profitability).

• Optimize product performance based on data-driven insights.

Stakeholder Management

• Build and maintain strong relationships with internal stakeholders and customers.

• Communicate product updates, launches, and roadmaps effectively.

Product Evangelism

• Serve as a company and product evangelist through thought leadership, blogging, social media, and industry events.

Requirements

• 7+ years of product management experience, preferably in cloud, SaaS, or developer platforms.

• Proven success in B2B platform integrations and working with partner ecosystems, especially cloud hyperscalers (Microsoft preferred).

• Deep understanding of Hyperscaler partnership programs (e.g., IP co-sell, ISV Success, Commercial Marketplace onboarding).

• Hands-on experience with cloud infrastructure services and ability to collaborate with engineers on API design, integrations, and infrastructure tradeoffs.

• Customer-centric mindset, strong communication and influencing skills, and ability to speak the language of developers, cloud architects, and DevOps professionals.

• Strategic thinker with a results-oriented, collaborative approach and problem-solving skills.

Benefits

• Competitive salary and equity

• Healthcare: Medical/Dental/Vision covered for you and your family

• 401K: 6% matching

• PTO: 18 days

• Transportation: Reimburse office parking charges, or $120/month for public transport

• Sport: $120/month reimbursement for gym membership

• Meal stipend: $400 monthly allowance for meals

• Visa sponsorship

• Coaching: we offer BetterUp coaching on a voluntary basis

XML job scraping automation by YubHub

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are seeking experienced backend software engineers to join our Deployment team. You'll help deploy and integrate our products (models, APIs, AI Studio...) across multiple infrastructure configurations, from leading cloud service providers to self-hosted (private cloud and on-premises) solutions. You'll work closely with the research, product, solution architect and program management teams to serve our frontier models to customers wherever they use our technology.

Responsibilities

• New releases – you will ensure fast and reliable launch of new products (from models to APIs) to customers
• Build and test infrastructure – you will work to improve and extend the infrastructure needed to package, deploy and integrate our core technology within first-party systems and third-party platforms
• Safety – you will help solve the unique challenges that come with maintaining AI safety on third-party platforms
• Observability and Monitoring – you will collaborate closely with both internal and external stakeholders to ensure our services achieve high availability and deliver state-of-the-art performance for our users
• Build automation to increase deployment performance (velocity, scalability)
• Foster architecture improvements to make our products deployable on all configurations (including on-premise)
• Drive cross-functional feature improvements with other product engineering teams (Le Chat, API/SDK, Mistral Code...)
• Contribute to key technology and architecture trade-offs to break our deployment stack down into small, maintainable and testable pieces

About you

• 5+ years of relevant professional work experience
• Master’s degree in Computer Science, Information Technology or a related field
• Excellent proficiency in backend software development (Python, Golang)
• Strong proficiency in infrastructure management (Docker, CI/CD, K8s, Helm, Terraform...)
• Good knowledge of cloud ecosystems and understanding of the challenges of deploying LLM in multiple environments (public cloud, private cloud, on-premises)
• Autonomous and self-starter profile
• Ability to communicate with influence

Hiring Process

• Introduction call - 30 min
• Hiring Manager Interview - 30 min
• Live-coding Interview (Python) - 45 min
• System Design Interview - 45 min
• Optional: Deep Dive Interview (Staff/Lead specific) - 60 min
• Culture-fit discussion - 30 min
• References

XML job scraping automation by YubHub

In this role, you will drive the acquisition of premium content, negotiate complex multi-pronged agreements, and build long-term relationships with publishers, universities, research institutions, and data providers. You will work closely with cross-functional teams to ensure access to quality and relevant data and content sources that are aligned with Mistral AI’s interests, and enable innovative use of data and content.

This role is ideal for a results-driven negotiator and strategic thinker with a passion for AI, academic content, and ethical data practices, and a proven track record of closing high-stakes deals in the publishing, technology, or research sectors.

Key Responsibilities

Strategic Sourcing & Pipeline Development • Build and manage a robust pipeline of high-quality content (e.g., STEM, academic, robotics, multimedia). • Qualify and vet data & content providers to ensure compliance with legal (copyright, data provenance) and business (relevance, cost, scalability) requirements. • Provide regular reports and analytics on procurement activities, investments, and performance to support data-driven decision-making.

Licensing & Partnership Management • Serve as a key point of contact for external partners (e.g., publishers, universities, and research institutions) to understand their goals and interests, addressing their needs and priorities. • Develop multi-pronged relationships (e.g., revenue-sharing, co-development) to create long-term collaboration. • Develop new programs that promote fair compensation and sustainability for content creators, owners and curators.

Cross-Functional Collaboration • Collaborate with internal stakeholders (e.g., Science, Product, and Go To Market teams) to understand their needs and ensure procurement activities support their objectives. • Evaluate “make vs. buy” options for content sourcing in collaboration with the Human Data team, balancing data development with external access/licensing opportunities

Required Qualifications and Skills • Proven track record of negotiating and closing complex deals ($10M+), including revenue-sharing, licensing, or co-development agreements. • Deep understanding of AI training data ecosystems and ability to translate this into business terms. • Legal acumen: Understanding of legal concepts involved in data acquisition and content licensing. • Strong STEM background (e.g., degree in Science, Technology, Engineering, Mathematics, or related field) and a passion for academic content and research. • Excellent communication and stakeholder management skills (experience negotiating with C-level stakeholders), with the ability to build trust and influence partners at all levels. • Business acumen with experience in market analysis and financial modeling (e.g., DCF analysis) • Fluency in English and French; additional languages (e.g., German) are a plus. • Knowledge of global copyright laws. • Experience working in a fast-paced, global environment, with distributed teams.

Nice-to-Have Skills • Existing network in the publishing, academic, or research communities (e.g., relationships with major publishers, universities, or data providers). • Experience with AI training data, including familiarity with pretraining, RAG, or synthetic data generation. • Direct experience working for a tech company sourcing data/content for LLMs • Technical literacy in data formats (e.g., JSON, XML), APIs, or content management systems.

Benefits • Competitive cash salary and equity • Daily lunch vouchers • Monthly contribution to a Gympass subscription • Monthly contribution to a mobility pass • Full health insurance for you and your family • Generous parental leave policy • Visa sponsorship

XML job scraping automation by YubHub

Reporting line: VP of Engineering

Location: Paris (France) or London (UK)

Key Responsibilities: The Knowledge & Search team is the backbone that connects our customers to the information they need. We are looking for an experienced software engineer to lead our indexing and searching capabilities. In this role, you will work closely with our data and infrastructure teams to build, maintain and scale our search platform while ensuring a high-level of performance and reliability.

Your responsibilities include (but may not be limited to):

• Building, maintaining and enhancing a fast, reliable and scalable indexing and searching capabilities (web and knowledge)

• Working with search-oriented databases to optimise and fine-tune full search pipelines from document ingestion to retrieval

• Owning our information retrieval systems serving both our internal needs as well as our enterprise customers

• Ensuring that our search capabilities meet the increasing demands of our customers

• Collaborate with internal and external stakeholders to push the boundaries of search reliability, performance, and scale across a range and cloud-native and on-premise services.

About you:

• 7+ years of relevant professional work experience

• Master’s degree in Computer Science, Information Technology or a related field

• Experience building and scaling distributed search engine systems

• Excellent proficiency in backend software development (Python, Go, C++, Rust...)

• Solid proficiency in infrastructure management (Docker, CI/CD, Helm, K8s, Terraform...)

• Good knowledge of cloud-native ecosystems

• Autonomous and self-starter

• Ability to communicate with influence

Now, it would be ideal if you had experience with:

• AI/ML engineering

Hiring Process:

Here is what you should expect:

• Introduction call - 30 min

• Hiring Manager Interview - 30 min

• Live-coding Interview (Python) - 45 min

• System Design Interview - 45 min

• Optional: Deep Dive Interview (Staff/Lead specific) - 60 min

• Culture-fit discussion - 30 min

• References

XML job scraping automation by YubHub

Mistral AI develops high-performance, open-source AI models and products for enterprise and personal use. Our comprehensive AI platform meets both enterprise and personal needs.

Role Summary

We are seeking experienced Senior Software Engineers to join our Cloud Deployments team. In this role, you will join a new team dedicated to deepening and expanding our integration with major cloud providers, ensuring seamless, native, and scalable deployment of our AI products (AI Studio, APIs, SDKs, etc.) within their ecosystems.

Responsibilities

• Contribute to Cloud Provider Integrations: Execute technical strategies for integrating Mistral's products (AI Studio, APIs, SDKs) natively into cloud provider ecosystems (Azure, AWS, GCP, etc.), starting with Azure.

• Build Scalable Integrations: Help develop a repeatable, automated framework to onboard new cloud providers quickly, reducing friction for both customers and internal teams.

• Collaborate with Hyperscalers: Work with cloud providers' engineering teams to define interfaces, standards, and best practices for AI model deployment and integration.

• Enable Smooth Customer Onboarding: Ensure customers can onboard Mistral's AI Studio suite directly from cloud providers' platforms, with a focus on simplicity, reliability, and performance.

• Cross-functional Collaboration: Work with internal teams (Deployment Platform, Product Engineering, Solutions Architecture) and external stakeholders to align on roadmaps, timelines, and technical trade-offs.

• Automate and Optimize: Contribute to building tooling and processes to automate packaging, deployment, and monitoring of Mistral's products across cloud environments.

• Technical Advocacy: Participate in technical discussions with cloud providers, helping to influence their roadmaps and ensure our products are optimized for their platforms.

Requirements

• 5+ years of relevant professional experience in complex infrastructure environments.

• Strong proficiency in backend development (Python ideally, or Go, Kotlin, Scala, Java, etc.,) and experience with complex, distributed systems.

• Deep knowledge of cloud ecosystems (AWS, GCP, Azure), containerization (Docker), and orchestration (K8s, Helm, Terraform).

• Ability to work with product, engineering, and business teams, as well as external partners.

• Ability to communicate with influence

Benefits

• Competitive salary and equity.

• Healthcare: Medical/Dental/Vision covered for you and your family.

• Pension: 401K (6% matching).

• PTO: 18 days.

• Transportation: Reimburse office parking charges, or $120/month for public transport.

• Sport: $120/month reimbursement for gym membership.

• Meal stipend: $400 monthly allowance for meals (solution might evolve as we grow bigger).

• Visa sponsorship.

• Coaching: we offer BetterUp coaching on a voluntary basis.

XML job scraping automation by YubHub

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with teams distributed across France, the USA, the UK, Germany, and Singapore.

About the Role

Mistral AI is seeking a Product Marketing Manager, Solutions to support verticalized go-to-market (GTM) initiatives. You will own the development and execution of industry-specific solutions marketing, enabling Mistral to scale and win in high-priority verticals such as manufacturing, finance, and more.

Key Responsibilities

Industry Solutions Marketing

• Own Solutions Marketing for high-priority industry verticals (e.g. manufacturing, finance), driving messaging, positioning, and GTM content.
• Develop and launch complete GTM collateral (pitch decks, sales enablement, blogs, web pages)
• Drive integrated campaigns to educate and engage target audiences, supporting demand generation and pipeline growth.

Cross-Functional Collaboration

• Partner with global Product, Solutions, Sales, and Marketing teams to design, activate, and refine industry-specific solutions.
• Channel market and customer feedback to shape product and GTM strategy.

Content & Enablement

• Create scalable, repeatable use cases and content (e.g., demos, case studies) to empower field teams.
• Act as a go-to partner for sales and solutions teams, ensuring consistent, compelling industry narratives.

Market & Competitive Intelligence

• Monitor industry trends and competitive dynamics to inform product and solutions planning.
• Identify and scale repeatable solutions content to accelerate deal cycles.

Who You Are

• 3+ years experience in solutions, product, or growth marketing, with experience in SaaS, AI, or enterprise technology.
• MBA or advanced degree in Marketing, Business, or related field preferred.
• Proven track record of launching industry-specific GTM strategies and content.
• Strong storytelling skills: ability to simplify complex technical value for diverse audiences.
• Collaborative leader with experience aligning cross-functional teams (Product, Sales, Marketing).
• Familiarity with global systems integrators (GSIs) and partner ecosystems is a plus.
• Self-starter who thrives in fast-paced, innovative environments.

What We Offer

• Competitive cash salary and equity
• Daily lunch vouchers: Swile meal vouchers with 10,83€ per worked day, incl 60% offered by company
• Sport: Enjoy discounted access to gyms and fitness studios through our Wellpass partnership
• Transportation: Monthly contribution to a mobility pass via Betterway
• Health: Full health insurance for you and your family
• Parental: Generous parental leave policy
• Visa sponsorship
• Coaching: we offer BetterUp coaching on a voluntary basis

XML job scraping automation by YubHub

Mistral AI is a technology company that develops and provides AI-powered solutions and platforms for enterprise use. Our technology is designed to integrate seamlessly into daily working life.

Role Summary

As a CyberSecurity Team Lead, you will be responsible for architecting and enforcing the security posture of our entire technical stack, from on-premise foundations to cloud-native deployments. You will oversee the identification, prioritization, and remediation of vulnerabilities across both On-Prem and Cloud infrastructures as well as internal applications.

Responsibilities

• Oversee the identification, prioritization, and remediation of vulnerabilities across both On-Prem and Cloud infrastructures as well as internal applications.
• Select, deploy, and maintain the tools needed for visibility and protection, including CNAPP, CSPM, SAST/DAST, secret scanning, and SBOM/CVE tracking.
• Integrate security controls and automated gates directly into CI/CD pipelines to catch vulnerabilities before deployment (Shift Left).
• Partner with engineering teams to interpret findings and 'ease the fix,' providing patches, code snippets, or architectural advice to resolve issues quickly.
• Define and maintain rigorous security guidelines and best practices for developers and system administrators.
• Design and lead security awareness programs and technical training tailored for developers and admins to reduce human risk.
• Track and define key security metrics (MTTR, coverage, vulnerability density) to visualize posture and progress to leadership.

Requirements

• 6+ years of experience in Information Security, with a specific focus on Application Security, Cloud Security, or DevSecOps.
• Strong scripting skills (Python, Go, or Bash) to automate security tasks and integrate tools.
• Deep understanding of CI/CD ecosystems and container orchestration (Kubernetes/Docker).
• Hands-on experience with modern security tooling (e.g., Wiz, Snyk, SonarQube, Prisma, or similar enterprise tools).
• Collaborative mindset: you view developers as partners, not adversaries, and focus on enabling them to code securely.
• Clear communication, autonomous, and capable of translating technical security risks into actionable engineering tasks.

Benefits

• Competitive salary
• Comprehensive health insurance
• Flexible working hours
• Professional development opportunities

Note: The company may offer additional benefits not listed here.

XML job scraping automation by YubHub

At Mercury, we see it differently.

Social media is where we connect with our community. It is where credibility is earned in real time, where cultural fluency signals relevance, and where builders decide whether a company understands the world they operate in, or not.

We are building a brand that founders respect, operators trust, and the internet recognizes as thoughtful, precise, and culturally aware. Social plays a critical role in that ambition.

We are looking for a Social Media Manager to shape Mercury’s voice within the tech and founder ecosystem. This person will build platform-native strategies, identify meaningful cultural moments to participate in, and serve as the internal authority on what belongs online.

This role sits within the Community team and works at the intersection of brand, product, customer experience, and growth. You will lead Mercury’s presence on X and Reddit while partnering closely with the Community Manager overseeing LinkedIn and Instagram. You will guide participation across channels and help ensure that some of Mercury’s most visible public surfaces reflect the company’s rigor, taste, and intelligence.

Responsibilities

• Build and own Mercury’s social strategy

• Develop platform-native strategies for X and Reddit as Mercury’s primary real-time channels

• Define Mercury’s participation model: when to speak, where to engage, and how to build credibility over time

• Maintain broad fluency across the evolving social platform landscape (LinkedIn, IG) to guide strategy and ensure Mercury shows up appropriately across channels

• Ensure Mercury shows up with clarity, restraint, and conviction

• Lead integrated campaign and launch rollouts

• Translate marketing campaigns and product launches into platform-native social strategies

• Partner with Brand, Product Marketing, Comms, CX, and Community to ensure cohesive storytelling

• Build rollout frameworks connecting social to editorial, partnerships, and IRL activations

• Identify opportunities to extend campaigns into meaningful conversation

• Serve as Mercury’s cultural radar

• Monitor cultural discourse, internet behavior, and platform-native trends

• Track moments relevant to founders, operators, and builders

• Identify opportunities for Mercury to participate with relevance and credibility

• Advise leadership on real-time participation and reputational risk

• Establish Mercury’s voice in the tech & founder ecosystem

• Maintain a deep understanding of the startup, venture, fintech, and AI landscape

• Track conversations and sentiment across hubs including San Francisco, New York City, Los Angeles, and Austin

• Engage in discussions with founders, operators, and investors

• Ensure Mercury’s voice resonates with ambitious builders

• Lead CX–Social coordination

• Partner with Customer Experience to create seamless social response workflows

• Monitor sentiment, questions, and friction surfaced via social channels

• Ensure insights inform product, CX, and messaging improvements

• Provide governance and internal guidance

• Act as the internal voice of reason for social participation

• Establish best practices for social engagement across teams

• Build playbooks for launches, announcements, and reactive moments

• Protect long-term brand equity while enabling timely participation

• Measure what matters

• Define success metrics beyond vanity engagement

• Track sentiment, relevance, and share of voice in founder conversations

• Continuously refine strategy based on performance and cultural shifts

What Success Looks Like

• Mercury is recognized as a credible, intelligent voice in founder and tech conversations

• Social participation feels intentional, not reactive

• Mercury contributes meaningfully to cultural and industry moments

• Social insights influence product, messaging, and campaigns

• Platform presence compounds trust and recognition over time

We Think You’ll Thrive in This Role If You:

• Have 5+ years managing social strategy for a brand with a strong point of view

• Understand how credibility is built on X and Reddit

• Are deeply fluent in startup, SaaS, fintech, and AI ecosystems

• Possess exceptional judgment and taste

• Know the difference between cultural relevance and trend chasing

• Can translate complex ideas into clear, platform-native communication

• Balance strategic thinking with hands-on execution

• Are comfortable advising leadership and pushing back when needed

• Stay calm and precise in fast-moving, real-time environments

This Role Is Ideal For Someone Who:

• Treats social as a strategic discipline, not a content treadmill

• Understands that credibility is built through consistency and restraint

• Believes cultural fluency comes from curiosity and participation

• Wants to help build a brand the internet respects

XML job scraping automation by YubHub

At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.

We are a global company with teams distributed between France, USA, UK, Germany, and Singapore. Our diverse workforce thrives in competitive environments and is committed to driving innovation.

Role Summary

As an Enterprise Account Executive, you will play a pivotal role in driving Mistral's adoption among our most strategic enterprise customers. We are looking for highly action-oriented individuals who thrive in fast-paced environments, love making deals, and have a strong bias for execution.

Responsibilities

Lead Development (Strategic Outbound & Qualified Inbound)

• Drive strategic outreach & leverage introductions to engage high-potential enterprise customers
• Convert inbound opportunities into high-value partnerships, including upsells and bespoke enterprise agreements
• Build and maintain a strong pipeline of qualified opportunities

Value Proposition Validation

• Support enterprise customers through Proof of Concept (POC) phases, ensuring a smooth and impactful evaluation process
• Translate successful evaluations into long-term production contracts by demonstrating clear ROI and business impact
• Align Mistral's capabilities with customer strategic priorities

Deal Management & Closing

• Develop and execute strategic sales plans to convert leads into long-term customers
• Act as the primary point of contact for external stakeholders throughout the entire sales cycle
• Lead negotiations and collaborate with legal, technical, and implementation teams to finalize agreements

Executive Engagement

• Build strong relationships with C-level executives, innovation leaders, and senior decision-makers
• Understand customer strategic priorities and position Mistral's AI capabilities as a critical enabler of their initiatives
• Guide executive stakeholders through complex technology adoption decisions

Technical Collaboration

• Develop a strong understanding of Mistral's AI platform and technical capabilities
• Work closely with implementation and engineering teams to address technical questions and ensure successful deployments

Training & Enablement

• Share customer insights internally to inform product development and strategy
• Help internal teams better understand enterprise customer needs and market opportunities

Who You Are

• Consulting or Strategic Background

• Experience in strategy consulting (e.g., McKinsey, BCG, Bain, or similar firms)

• Strong ability to structure complex problems and translate strategy into action

Commercial Mindset

• Highly action-oriented with a strong bias toward execution
• Passion for deal-making and turning opportunities into closed agreements
• Ability to operate in fast-paced and ambiguous environments

Executive Presence

• Comfortable engaging and influencing C-level executives
• Strong communication and storytelling skills

Nice to Have

• Experience working on large transformation projects (AI, infrastructure, telecom, energy, or digital transformation)
• Familiarity with AI, data platforms, or enterprise software ecosystems
• Ideally had a first role in sales; business development, deal closing roles

What We Offer

• Competitive cash salary and equity
• Food: Daily lunch vouchers
• Sport: Monthly contribution to a Gym pass subscription
• Transportation: Monthly contribution to a mobility pass
• Health: Full health insurance for you and your family
• Parental: Generous parental leave policy
• Visa sponsorship

XML job scraping automation by YubHub

This is not a status-meeting role. This is a technical, hands-on TPM who understands systems well enough to unblock work directly , whether that's in Linear, Salesforce, data workflows, or coordination across Product, Engineering, Data, and Revenue.

In this role, you will report to the Head of Platforms & Infrastructure and play a critical role in protecting execution focus so specialized technical roles can operate at full effectiveness.

Some things you'll do on the job:

• Own delivery sequencing and execution momentum across Revenue Technology initiatives
• Translate ambiguous goals into clear scopes, milestones, and dependency maps
• Actively manage work in Linear and related tools, ensuring priorities are visible and intentional
• Identify when work is blocked, drifting, over-scoped, or colliding , and intervene early
• Partner closely with Solution Architecture, Data Strategy, Engineering, and Systems & Workflow Experience
• Perform light hands-on technical work (configuration, stopgaps, tooling hygiene) to unblock progress
• Absorb coordination load across Product, Engineering, Data Engineering, Data Science, Revenue, and vendors
• Drive planning cycles anchored to Cosmic Objectives, not ad-hoc urgency
• Make tradeoffs explicit and documented so teams can move without re-litigating decisions

You should have:

• 5+ years experience as a Technical Program Manager, Technical PM, or equivalent role in a SaaS or fintech environment
• Demonstrated ability to drive delivery across multi-team, cross-functional initiatives (Product, Engineering, Data, Revenue, vendors)
• Strong technical fluency , able to reason about systems, data flows, integrations, and platform constraints
• Hands-on experience managing work in tools like Linear, Jira, or similar, with a bias toward clarity and momentum
• Proven ability to surface dependencies, sequence work, and intervene when execution is blocked or drifting
• Excellent written and verbal communication skills, especially in ambiguous environments
• Comfort performing light hands-on technical work (tool configuration, workflow setup, stopgap solutions)

Preferred Qualifications:

• Experience supporting GTM, revenue, or customer lifecycle platforms
• Familiarity with Salesforce, data platforms, or revenue tooling ecosystems
• Experience operating within Agile / Kanban systems , with judgment about when to adapt them
• Background working closely with architecture or platform engineering teams

The total rewards package at Mercury includes base salary, equity (stock options), and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees in New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $131,000 - 148,000
• US employees outside of New York City, Los Angeles, Seattle, or the San Francisco Bay Area: $118,000 - $133,200
• Canadian employees (any location): CAD $124,300 - $139,900

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic.

XML job scraping automation by YubHub

Our mission is to ignite that same feeling for players; the thrill of competition, the joy of community, and the belonging of finding your own corner of a larger world.

Great games begin with people who dare to dream big. If that sounds exciting, you might be exactly who we're looking for.

Bonfire is a group of experienced and ambitious developers, proud to be creating our first original IP: Arkheron. It is a fast-paced, competitive PVP game set in a surreal dark fantasy world where 15 teams of three battle their way up the Tower. In a world built from memories, you will loot powerful items to create and adapt a unique build-out that will change your strategy and combat experience with every Ascension.

At Bonfire, we believe great games are built on more than features , they're built on deep player understanding, thoughtful decisions, and the tools that help teams act on both. Our Platform group builds the systems that connect players to the studio: analytics that reveal how people play, community tools that shape how they connect, and marketing and messaging infrastructure that determines when, where, and how we show up for them. This team owns the foundation behind Arkheron and future projects , from data pipelines and experimentation frameworks to community and martech systems that power real player-facing experiences.

This role focuses on the shared platform systems and tools that enable teams to make better decisions and deliver better player experiences at scale. (Note: responsibilities such as owning game feature development, monetization design, or franchise strategy fall within other roles at Bonfire).

If you're energized by shaping what gets built, why it matters to players, and how teams make better decisions through strong systems and tooling, this could be a great role for you.

Responsibilities

• Owning product direction for platform systems that enable and support player-facing experiences, shaping roadmap, priorities, and long-term vision.
• Translating player behavior into action, partnering closely with analytics and insights to turn telemetry, experimentation, and qualitative signals into clear product opportunities.
• Prioritizing ruthlessly by weighing player value, studio leverage, and technical investment to decide what to build, what to buy, and what not to do.
• Defining requirements for platform capabilities (such as messaging, campaigns, triggers, segmentation, and experimentation) used by game and publishing teams to deliver customer-facing experiences.
• Shaping how the studio interacts with players at scale through shared systems and tooling, without setting game design or monetization strategy.
• Connecting platform investments to measurable outcomes , such as improved onboarding, healthier communities, and better retention , by enabling teams with better data, tools, and workflows.
• Partnering deeply with engineering and technical leads to scope solutions, evaluate tradeoffs, and ensure systems are scalable, maintainable, and fit for long-term use.
• Collaborating with Arkheron's development team by advocating for platform capabilities that unlock options and flexibility, without prescribing creative or gameplay decisions.
• Designing for internal users by working hand-in-hand with design and UX to build tools that are intuitive, efficient, and enjoyable for developers to use.

Requirements

• 5+ years of experience in product, analytics, or a data-driven role, with 2+ years shaping platform, infrastructure, or internal tooling products that support customer-facing outcomes.
• Think naturally in player journeys and customer interactions, while working on systems rather than direct game features.
• Use data to guide decisions, with strong instincts around metrics, telemetry, experimentation, and identifying meaningful signals versus noise.
• Bring hands-on experience with martech and player engagement systems (campaign engines, triggers, segmentation, attribution, messaging workflows).
• Understand modern community ecosystems (Discord integrations, bots, role systems) and how tooling choices shape player behavior and culture.
• Are fluent in engineering concepts and tradeoffs, comfortable discussing APIs, data pipelines, telemetry, and build-vs-buy decisions with technical partners.
• Balance competing inputs from game teams, publishing, analytics, and design , and can prioritize clearly when everything feels important.
• Communicate with clarity and empathy, building strong relationships across disciplines.

Nice to Have

• Experience with data visualization tools and Implemented data-driven decision-making processes.
• Strong knowledge of game development principles and practices.
• Familiarity with cloud-based services and Infrastructure-as-a-Service (IaaS) providers.
• Excellent problem-solving skills and ability to work collaboratively in a fast-paced environment.

What We Offer

• Competitive salary range: $196,500 - $247,133.
• Equity in the company.
• Full benefits package.
• Extra perks to make work (and life) better.

About Us

We're a game development company creating the original IP Arkheron. We're passionate about building a game that we're proud to play every day. We keep fun at the core and stay truly independent, with decisions driven by the team , not by investors or a board. We thrive in a culture of passion, trust, and shared ownership; where transparency matters and egos don't.

Get a Feel for What It's Like to Work Here

You can check out more about our culture, team, benefits, and perks at www.bonfirestudios.com.

XML job scraping automation by YubHub