Full-Time
Senior Field Scientist
Alembic
51-200 employees
Unified marketing operations platform with analytics
Compensation Overview
$110k - $170k/yr
San Francisco, CA, USA
In Person
 Sales & Solution Engineering (1) |
|---|
- 5-8+ years in Sales Engineering, Data Science, or similar pre-sales technical roles in B2B SaaS, data, cloud, or AI
- Proven track record leading successful research implementations that validated complex enterprise solutions and progressed deals to close
- Strong data analysis skills with scientific rigor, including ability to design experiments and process large-scale enterprise data sets
- Advanced proficiency in Python and/or other scripting languages for data preparation, quality-testing, and statistical analysis
- Ability to travel occasionally
- Design and execute complex field studies that test hypotheses about marketing effectiveness, validating Alembic's transformational value
- Lead data collection and requirements gathering with senior customer stakeholders, treating each engagement as a scientific research opportunity
- Apply rigorous analytical methodologies to prepare and process customer data, ensuring scientific validity for enterprise-scale research implementations
- Develop and test hypotheses about marketing performance, using experimental design principles to structure customer engagements
- Present compelling research findings to C-level and senior customer stakeholders, translating complex analytical insights into business impact
- Collaborate with Enterprise Account Executives and Product teams to align research methodologies with strategic objectives and ensure scientific rigor supports the sales process
- Drive scalable research processes and best practices across the field science team
- Mentor and develop junior field scientists in proper experimental design and analytical methodologies
- Contribute to product roadmap discussions based on customer technical feedback and research outcomes
- Establish frameworks for replicable field studies that can be systematically applied across customer engagements
- Experience conducting field studies or research implementations for data, cloud, or AI in marketing contexts
- Background as a senior data analyst, business analyst, or technical consultant with experimental design experience
- Deep familiarity with enterprise procurement and security review processes
- Startup or high-growth environment experience with scaling research methodologies
- Advanced technical certifications such as AWS Solutions Architect or GCP Professional
- Ability to create and manage scalable research frameworks and reusable analytical assets
- Experience working with marketing customers and understanding their technical landscape
- Previous startup or founder experience
- Expert-level technical training or certifications in AI/ML
- Experience contributing to product strategy and roadmap decisions based on research outcomes
- Advanced exposure to value engineering, ROI modeling, and business case development through scientific analysis
Alembic offers a Unified Marketing Operations Platform that consolidates real-time analytics, content management, API access, end-to-end campaign creation and execution workflows, and CRM integration as a subscription SaaS. The platform lets users design and launch marketing campaigns, monitor performance on a real-time dashboard, manage content in a CMS, automate steps in workflows, and sync marketing data with their CRM. It differentiates itself by providing all these capabilities in a single connected system, reducing the need for multiple separate tools and simplifying marketing operations. The goal is to help businesses run marketing programs more efficiently and at scale.
Company Size
51-200
Company Stage
Series B
Total Funding
$169.1M
Headquarters
San Francisco, California
Founded
2018
Simplify's Take
What believers are saying
- Accenture partnership dynamically measures marketing effectiveness boosting client revenue.
- $145M Series B funds NVIDIA DGX SuperPOD scaling causal insights exponentially.
- New CTO Abby Kearns advances AI-powered marketing analytics platform capabilities.
What critics are saying
- NVIDIA launches competing causal AI tools in Omniverse eroding Alembic's edge.
- Salesforce Einstein 2026 embeds causal inference natively commoditizing integrations.
- Accenture builds in-house causal AI capturing 20-30% joint revenue from clients.
What makes Alembic unique
- Alembic's Causal AI proves marketing causality beyond correlation using graph neural networks.
- Platform analyzes sponsorships, events, organic social unlike traditional analytics.
- Real-time revenue simulation enables capital reallocation before investments.
Help us improve and share your feedback! Did you find this helpful?
Your Connections
People at Alembic who can refer or advise you
Benefits
Health Insurance
Company Equity
Growth & Insights and Company News
6 month growth
↑ 2%1 year growth
↓ -4%2 year growth
↑ 1%Alembic Technologies has launched Version 3.0 of its Causal AI platform, enabling enterprises to simulate revenue impact and reallocate capital in real time. The platform, powered by NVIDIA DGX SuperPOD infrastructure with NVIDIA Grace Blackwell systems, allows companies to model the financial impact of strategic decisions before committing investments. The update introduces real-time causal recomputation, instant scenario modelling and dynamic capital optimisation. Unlike traditional analytics that identify correlations, Alembic's platform models verified causal relationships across enterprise data, processing billions of signals to determine what actions drive measurable business outcomes. The company recently raised $145 million in Series B and growth financing led by Prysm Capital and Accenture, with its valuation increasing more than tenfold. Current clients include global airlines, consumer packaged goods companies and financial services brands.
Huge funding and Accenture partnership for Alembic. Causal AI specialist Alembic has secured $145 million in Series B and growth funding, led by Prysm Capital and Accenture. It will also extend its collaboration with Accenture to help clients 'dynamically measure marketing effectiveness and use AI-driven insights to boost revenue.' Alembic's platform allows users to measure nearly all their marketing activities in real time, and tie them to revenue outcomes - the firm claims its solutions represent a breakthrough in mathematically demonstrating causality in large datasets using composite AI. Its Series A round in February 2024 raised $14m and included celebrity backers Jeffrey Katzenberg (DreamWorks) and quarterback Joe Montana - the latest funding values the company at around $645m, approximately fifteen times more than the Series A. The new round - in which Liquid 2 Ventures, NextEquity, Friends & Family Capital, WndrCo and SLW also participated - will allow Alembic to deploy a new DGX AI Supercomputing cluster, running the NVIDIA AI Enterprise software suite, allowing it to scale its provision of Causal insights as customer data 'exponentially.' The new cluster, which constitutes one of the most powerful privately-owned supercomputers ever built, is scheduled to go live by the end of the year. 'As powerful artificial intelligence models increasingly converge in capability, the key competitive advantage shifts to proprietary data,' says Alembic CEO and founder Tomás Puig (pictured). 'Getting a real edge isn't about using the best LLM; it's leveraging the unique information rivals can't access. The exclusive data a company generates protects its strategy from generic model outputs where two competitors could get the same answer. This ensures any key insights and market decisions come from a truly private intelligence engine.' Julie Sweet, Chair and CEO of Accenture, adds: 'Our clients are not just implementing AI: they are undergoing total enterprise reinvention, which hinges on trust and intelligence at the digital core. Alembic's Causal AI provides exactly that by moving the enterprise beyond correlation to deliver the verifiable, cause-and-effect insights leaders need to act with decisive speed.' Alembic says its offer is differentiated from others by its ability to analyze complex data patterns as well as traditionally difficult-to-track channels such as sponsorships, events and the influence of organic social posts. Recent market changes and events such as changing public policy can also be modelled to establish impact. According to Arun Kumar, Global Customer AI and Data Lead at Accenture Song, this will make the new partnership between the two companies 'a paradigm shift in measurement.' He comments: 'Alembic's capabilities complement existing approaches, such as market mix modelling, but now with seemingly limitless variables that can be analyzed. Where measurement has often been seen as an afterthought, Alembic lets us see both the big picture and the details.' Web site: www.getalembic.com. All articles 2006-23 written and edited by Mel Crowther and/or Nick Thomas, 2024- by Nick Thomas, unless otherwise stated.
Alembic Technologies raises $145M and buys an Nvidia-powered supercomputer to accelerate 'causal AI' - SiliconANGLE
Alembic Technologies raises $145M and buys an nvidia-powered supercomputer to accelerate 'causal AI' Causal artificial intelligence startup Alembic Technologies Inc. said today it has raised $145 million in a Series B growth round that increases its valuation almost 16-fold. It's using a big chunk of those funds to invest in what it says is one of the fastest privately owned supercomputers ever built - a new Nvidia Corp. NVL72 superPOD that'll serve as the foundation of its enterprise-grade AI models. Alembic claims to be a pioneer of enterprise-focused causal AI models that focus on generating marketing intelligence. Causal AI models are designed to understand and model cause-and-effect relationships, as opposed to just identifying patterns and correlations. Alembic said it's leveraging causal AI to generate richer insights into the underlying factors behind certain consumer behaviors and events, so it can enhance its customers' decision-making. In other words, Alembic is trying to develop more reliable AI models that can safely be used in enterprise environments, and to do that it needs to leverage its customers' all-important private data. The startup said its Causal Engine acts like a private intelligence layer for AI models and creates a compounding flywheel. By surfacing better insights, companies can create superior products and strategies for their customers, which then help to capture more, potentially even richer data, allowing further insights to be generated. Alembic co-founder and Chief Executive Tomás Puig said there's really not much difference among the most powerful large language models today in terms of their performance or capabilities. It's the proprietary data those models can access that provides the main competitive advantage. "Getting a real edge isn't about using the best LLM," he explained. "It's about leveraging the unique information your rivals can't access. The exclusive data a company generates protects its strategy from generic model outputs, where two competitors could get the same answers." Strategic bet on private AI infrastructure. The size of today's round indicates that Alembic's new supercomputer doesn't come cheap, but Puig stressed that it's a vital investment for the company. It's planning to deploy the NVL72 superPOD, which is equipped with Nvidia's most powerful Blackwell graphics processing units, in a vast DGX AI supercomputing cluster in partnership with the data center colocation provider Equinix Inc. The cluster will run the Nvidia AI Enterprise software suite to provide a "high-performance computing backbone" for its causal AI models. Puig said the system has been customized to run its continuous-learning spiking neural networks and spatio-temporal graph construction algorithms, enabling it to scale to support its growing customer base and continue generating fresh causal insights in real time. It's notable that this is the second supercomputing cluster Alembic has acquired, as part of its strategic focus to ensure bicoastal redundancy and avoid being locked in to any cloud vendors. By investing in a dedicated, private AI fleet, Alembic benefits from guaranteed resource availability and gains the ability to better optimize its stack for causal AI workloads. According to Puig, Alembic needs access to the world's most advanced and capable computing platforms in order to be able to advance casual AI further. "[NVL72] allows our research teams to fully leverage multi-exaflop-level compute and Nvidia's algorithmic software stack," he explained. "This deep integration is one of our secret weapons - we spend more time on breakthrough research and mathematics and less time on repetitive low-level engineering, enabling us to deliver Causal answers to partners like Accenture in near real-time." Today's round was co-led by Prysm Capital and Accenture Plc, and saw participation from Liquid 2 Ventures, NextEquity, Friends & Family Capital, WndrCo and SLW. Accenture Chair and CEO Julie Sweet said causal AI is critical for enterprise adoption of AI, because regulated companies need both high performance and extreme reliability. "Alembic's Causal AI provides exactly that by moving the enterprise beyond correlation to deliver the verifiable, cause-and-effect insights leaders need to act with decisive speed," she said. Image: siliconangle/meta AI. A message from John Furrier, co-founder of SiliconANGLE: Support its mission to keep content open and free by engaging with theCUBE community. Join theCUBE's Alumni Trust Network, where technology leaders connect, share intelligence and create opportunities. * 15M+ viewers of theCUBE videos, powering conversations across AI, cloud, cybersecurity and more * 11.4k+ theCUBE alumni - Connect with more than 11,400 tech and business leaders shaping the future through a unique trusted-based network. SiliconANGLE Media is a recognized leader in digital media innovation, uniting breakthrough technology, strategic insights and real-time audience engagement. As the parent company of SiliconANGLE, theCUBE Network, theCUBE Research, CUBE365, theCUBE AI and theCUBE SuperStudios - with flagship locations in Silicon Valley and the New York Stock Exchange - SiliconANGLE Media operates at the intersection of media, technology and AI. Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. Its new proprietary theCUBE AI Video Cloud is breaking ground in audience interaction, leveraging theCUBEai.com neural network to help technology companies make data-driven decisions and stay at the forefront of industry conversations.
Accenture and Jeffrey Katzenberg's WndrCo have invested in AI marketing startup Alembic. The company raised $145 million in a new funding round, valuing it at $645 million. Alembic specializes in AI-powered data analytics to help brands connect marketing activities with business results.