Technology & AI Innovation Strategist

About Anthropic
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About The Role
As an Applied AI team member at Anthropic, you will be a pre-sales architect focused on becoming a trusted technical advisor helping large enterprises understand the value of Claude and paint the vision on how they can successfully integrate and deploy Claude into their technology stack. You'll combine your deep technical expertise with customer-facing skills to architect innovative LLM solutions that address complex business challenges while maintaining our high standards for safety and reliability.

Working closely with our Sales, Product, and Engineering teams, you'll guide customers from initial technical discovery through successful deployment. You'll leverage your expertise to help customers understand Claude's capabilities, develop evals, and design scalable architectures that maximize the value of our AI systems.

Responsibilities

• Partner with account executives to deeply understand customer requirements and translate them into technical solutions, ensuring alignment between business objectives and technical implementation
• Serve as the primary technical advisor to enterprise customers throughout their Claude adoption journey, from discovery to initial evaluation through deployment. You will need to coordinate internally across multiple teams & stakeholders to drive customer success
• Support customers building with both the Claude API and Claude for Work
• Create and deliver compelling technical content tailored to different audiences. You will need to be able to spread the gamut from technical deep dives for engineering & development teams up to business value focused conversations with executives
• Guide technical architecture decisions and help customers integrate Claude effectively into their existing technology stack
• Help customers develop evaluation frameworks to measure Claude's performance for their specific use cases
• Identify common integration patterns and contribute insights back to our Product and Engineering teams
• Travel occasionally to customer sites for workshops, technical deep dives, and relationship building
• Maintain strong knowledge of the latest developments in LLM capabilities and implementation patterns

You May Be a Good Fit If You Have

• 5+ years of experience in technical customer-facing roles such as Solutions Architect, Sales Engineer, or Technical Account Manager
• Native or C1 Italian speaker with fluent English proficiency
• Experience working with enterprise customers, navigating complex buying cycles involving multiple stakeholders
• Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C-suite executives, engineering & IT teams, and more
• Strong technical communication skills with the ability to translate customer requirements between technical and business stakeholders
• Experience designing scalable cloud architectures and integrating with enterprise systems
• Comfortable with python
• Familiarity with common LLM frameworks and tools or a background in machine learning or data science
• A love of teaching, mentoring, and helping others succeed
• Excellent communication and interpersonal skills, able to convey complicated topics in easily understandable terms to a diverse set of external and internal stakeholders. You enjoy engaging in cross-organizational collaboration, working through trade-offs, and balancing competing priorities
• Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems

Deadline to apply:
None. Applications will be reviewed on a rolling basis.

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.

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. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.

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.
Guidance on Candidates' AI Usage:
Learn about our policy for using AI in our application process.

Re-Forme S.r.L. nasce nel 2009 con l’apertura del centro estetico “Veralab Institute” che ha ispirato, nel 2015, la nascita di Veralab, il brand skincare fondato da Cristina Fogazzi, diventato uno dei principali player del settore cosmetico con un fatturato di oltre 70 milioni di euro.

La mission del brand è offrire prodotti skincare e trattamenti corpo di sicura efficacia grazie ad una strenua ricerca della qualità unita all’expertise del know-how italiano.

In pochi anni, Veralab è divenuta l’enfant prodige del beauty italiano sviluppando un modello di business “click and mortar” che integra perfettamente online e offline in una sinergia omni-channel che affianca all’e-commerce proprietario oltre 870 touch point tra Flagship Store (Milano, Roma, Torino, Padova, Bologna, Arese, Palermo, Bari, Oriocenter e Serravalle), Luxury Department Store e Profumerie e Farmacie selezionate.

Nel giugno 2023 nasce Overskin, il brand make-up con attivi skincare che mutua l’esperienza di Veralab garantendo elevata qualità e performance delle formule, unita alla facilità di utilizzo.

Posizione:

Per il nostro team e-commerce siamo alla ricerca di un/una
Data & Customer Intelligence Manager
da inserire con l’obiettivo di valorizzare il patrimonio informativo aziendale e trasformare dati e insight in decisioni di business concrete.

La risorsa sarà responsabile dello sviluppo delle capability di
Customer Intelligence, Analytics e Business Intelligence
, supportando la crescita del canale digitale e l’evoluzione della customer experience attraverso un approccio data-driven.

Cerchiamo una figura con solide competenze analitiche e una forte visione orientata al business, capace di collaborare efficacemente con i team CRM, Loyalty, Digital Product ed Ecommerce per trasformare insight e comportamenti in azioni misurabili e ad alto impatto.

Principali responsabilità:

• Definire e guidare le strategie di Customer Intelligence, sviluppando modelli di analisi avanzata per comprendere il comportamento cliente e individuare opportunità di crescita lungo il customer lifecycle;
• Governare i modelli di segmentazione e targeting, progettando audience e cluster a supporto delle iniziative CRM, Loyalty, Trading, Product e Customer Experience;
• Supportare le attività CRM e Loyalty attraverso insight, analisi e modelli di attivazione, garantendo qualità ed efficacia delle campagne e delle iniziative di engagement;
• Fornire supporto alle decisioni di business attraverso KPI, dashboard, analisi e reporting a beneficio delle diverse funzioni digitali;
• Promuovere il miglioramento continuo delle performance attraverso analisi, sperimentazioni e attività di misurazione orientate all’ottimizzazione dei risultati;
• Coordinare le attività del team analytics, contribuendo allo sviluppo delle competenze interne e alla diffusione di una cultura decisionale basata sui dati.

Requisiti:

• Laurea in Statistica, Economia, Ingegneria Gestionale, Matematica, Data Science o discipline affini;
• Almeno 5-6 anni di esperienza in ruoli di Customer Analytics, CRM Analytics o Business Intelligence;
• Ottima conoscenza di SQL e delle principali metodologie di analisi dati;
• Esperienza nella progettazione di modelli di segmentazione cliente e customer analytics avanzate;
• Esperienza con strumenti di Business Intelligence, preferibilmente Power BI;
• Conoscenza dei principali KPI digitali, CRM ed eCommerce.

Altre informazioni:

Settore Azienda
E-COMMERCE & DIGITAL

Inquadramento previsto
Da definirsi in base all’esperienza del/della candidat*

Esperienze lavorative
Necessaria esperienza pregressa di almeno 5-6 anni in ruoli di Customer Analytics, CRM Analytics o Business Intelligence

Lingue straniere richieste
Inglese fluente

Il presente annuncio è rivolto a tutte le persone che abbiano i requisiti richiesti dall’annuncio, nel rispetto del D.lgs. n. 198/2006 e di quanto disposto dall’art. 10 del D.lgs. n. 276/2003.

Are you looking for a new challenge?

Fancy helping us shape the future of motor insurance?

Prima could be the place for you.

Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. In fact, we’re trusted by over 5 million drivers. And now we’re expanding to help millions more drivers in the UK and Spain.

To help fuel that growth, we need a
Senior Machine Learning Engineering
to join our
Engineering
Team
.

This team is the beating heart of Prima.

You’ll be joining over 350 engineers across software development, infrastructure, operations and security. Fueled by curiosity, experimentation and collaboration, you’ll help deliver scalable, impactful solutions that shape the future of insurance.

Excited to make an impact? Here are the details
What You Will Do

• Defining the model development methodologies and best practices, following the whole life cycle with a central role in choosing the technological stack;
• Supporting the productionalization and evolution of the Oracles, entities that through machine learning pilot the behavior of Prima's microservices;
• Developing the tools (packages, microservices, pipelines...) that you deem fundamental for your and your team job;
• Growing, reading, and experimenting to always be up to speed with emerging technology.

What We’re Looking For

• A robust programming background, spotlighting your prowess in Python;
• A familiarity with the lifecycle of ML model development, including past experience in taking them to production;
• Proficiency in software development practices like TDD and BDD, ensuring our code is marked by quality, readability, and maintainability;
• A wealth of experience in software architecture, encompassing an understanding of common design patterns. Your focus on Machine Learning, Microservices, and DDD sets you apart;Exceptional command of the English language.

Nice-to-Have

• Alongside the essential prerequisites, we're excited to find experience in version control of data and artefacts (like DeltaLake, DVC, or MLFlow), designing and operating cloud-based systems, preferably within AWS or Databricks, familiarity with messaging platforms and proficiency in infrastructure as code (e.g. Terraform, CloudFormation, Pulumi), a grasp of K8s and service mesh concepts, and previous exposure to data orchestration tools.

€55,000 - €85,000 a year

Why You’ll Love It Here
We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty of perks.

🤸 Work Your Way:
Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.

🏁 Grow with us:
We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you.

🌈 Thrive and perform:
Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.

Think you’re a match? Apply now.

At Prima, we celebrate uniqueness. If you don’t meet every requirement but are passionate about this role, we still want to hear from you. Innovation thrives on diverse perspectives.

Prima is proud to be an equal opportunity employer. Need accommodations during the process? Email us at accessible.recruiting@prima.it. Let’s build the future of insurance, together.

Azienda: Natura Umana

Sviluppiamo personal agent AI con l'obiettivo di rendere la tecnologia un layer invisibile nella vita quotidiana, integrando hardware e software in un'unica esperienza. Siamo una startup con base operativa a Milano e investitori da San Francisco, in una fase di crescita rapida del prodotto e del team.

⠀

Il ruolo

Costruirai e gestirai agenti AI che automatizzano i processi operativi dell'azienda, lavorando a stretto contatto con il CEO e assumendo ownership diretta su un perimetro in forte crescita.

⠀

Cosa farai

• Progetterai agenti AI che automatizzano i processi operativi interni dell'azienda.
• Strutturerai aree operative non ancora formalizzate, definendo strumenti e flussi di lavoro.
• Gestirai in autonomia decisioni operative con impatto diretto sul business.
• Collaborerai direttamente con il CEO per liberarlo dalle attività operative ricorrenti.
• Costruirai le fondamenta operative dell'organizzazione in una fase di forte crescita.

⠀

Contesto Tecnico

• Sistema: agenti AI applicati ai processi operativi aziendali.
• Ambiente operativo: contesto startup early-stage, con lavoro diretto e continuativo con il CEO.
• Vincoli distintivi: perimetro ampio e in evoluzione, richiede forte autonomia decisionale.

Chi cerchiamo

Requisiti essenziali⠀

• Esperienza nella costruzione di agenti AI applicati a casi d'uso reali;
• Esperienza nella gestione e ottimizzazione di processi operativi;
• Forte ownership e mentalità orientata alla costruzione di strutture nuove, con interesse concreto per equity e missione aziendale;
• Disponibilità a lavorare a stretto contatto e in modo continuativo con il CEO;
• Capacità di operare in autonomia su un perimetro ampio e in evoluzione.

Requisiti preferenziali

• Background in consulenza o operational excellence con successiva evoluzione verso l'AI;
• Esperienza in contesti startup o scale-up.

⠀

Cosa offriamo

• Sede: Milano.
• Modalità di lavoro: ibrida.
• Pacchetto retributivo: Inquadramento con P.Iva - RAL 45.000–65.000€ + equity fino al 2%.