[Remote] Talent Operations Lead at Siena AI

Poland

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Customer Experience, TechnologyIndustries

Requirements

4-6 years in recruiting, talent operations, or people ops
At least 2 years in startup or high-growth environments
Track record of closing 30+ hires/year while improving process
Experience with modern ATS platforms (Ashby, Lever, Greenhouse)
AI-native mindset: already use Claude, ChatGPT, or similar tools daily to accelerate work
Automation fluency: built workflow automations using no-code platforms
Comfortable hiring remotely and globally

Responsibilities

Run full-cycle recruiting across engineering, product, operations, and go-to-market
Conduct screens, coordinate interviews, manage candidate experience, and close offers
Use AI and automation to streamline screening, scheduling, and follow-ups
Partner with hiring managers to calibrate on what "amazing" looks like for each role
Build evaluation frameworks and scorecards to assess talent consistently
Track metrics: time-to-hire, source quality, pass-through rates, offer acceptance
Optimize sourcing channels and double down on where best hires come from
Document what works to scale intelligently
Hire and train additional recruiting support as the team grows

Skills

full-cycle recruiting

talent acquisition

recruiting automation

AI tools

process building

startup scaling

Siena AI

Autonomous AI customer service platform for e-commerce

About Siena AI

Siena AI offers an autonomous customer service platform tailored for the commerce sector, enabling businesses to implement AI-driven support with ease. The platform integrates with existing help desk systems, allowing merchants and brands in the e-commerce market to provide timely and accurate customer service. Siena's technology utilizes advanced models from OpenAI, delivering human-like responses and cognitive reasoning capabilities. The company operates on a subscription-based model, offering various service tiers that cater to different business needs, including features like smart routing and the Siena Copilot for human agents. A key differentiator for Siena is its commitment to data security; it does not train its models on client data, ensuring the protection of sensitive information. The goal of Siena AI is to enhance customer support efficiency and accuracy for e-commerce businesses while maintaining a strong focus on privacy.

San Francisco, CaliforniaHeadquarters

2023Year Founded

$4.6MTotal Funding

SEEDCompany Stage

Enterprise Software, Cybersecurity, AI & Machine LearningIndustries

11-50Employees

Benefits

Remote Work Options

Paid Vacation

Stock Options

Company Equity

Professional Development Budget

Risks

Increased competition from companies like Discover Financial Services using generative AI.

Dependency on external partners like LTVplus for technological advancements.

New AI-driven platforms in Eastern Europe may challenge Siena AI's market position.

Differentiation

Siena AI combines human empathy with intelligent automation for customer service.

The platform integrates seamlessly with existing help desk systems for easy deployment.

Siena AI prioritizes data security by not using client data for model training.

Upsides

Siena AI raised $4.7M to develop empathic AI customer service agents.

Partnership with LTVplus enhances customer service through empathic AI.

Subscription-based model ensures steady revenue and scalable customer service operations.

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