I prefer to make a second answer for the generalization of the problem.
We want to solve for $y$ the general equation
$$\color{red}{\large x=\frac{z^{a+y}}{\prod_{k=1}^n\left(y+b_k\right)}}$$ where $x$ is supposed to be large.
As in my first answer, the rhs will be approximated as
$$\frac{z^{a+y}}{(y+c)^n}=z^{a-c} \frac{z^{y+c}}{(y+c)^n}\quad \implies \quad
x\,z^{c-a}=\frac{z^{y+c}}{(y+c)^n}$$ which gives, as an approximation,
$$\color{blue}{\large y_0=-c-\frac{n}{\log (z)}\,W_{-1}\left(-\frac{\log (z)}{n\,z^{\frac{c-a}{n}}}\,\,\frac 1{\sqrt[n]x }\right)}$$
As usual, to stay in the real domain, the requirement is
$$\frac{\log (z)}{n\,z^{\frac{c-a}{n}}}\,\,\frac 1{\sqrt[n]x } \leq \frac 1 e$$
The only problem left is to decide about $c$. In the first answer was used the mean of the $b_k$'s; this is justified by the fact that, at least for large $y$,
$$\frac{1}{\prod_{k=1}^n\left(y+b_i\right)}-\frac{1}{(y+c)^n}=\frac {n\,c-\sum_{k=1}^n b_k}{y^{n+1}}+O\left(\frac{1}{y^{n+2}}\right)$$
However, may be, it could be possible to have a better approximation of $c$ and a function of the $b_k$ (to be explored later).
An example for illustration
Trying for $x=10^{20}$, $z=\pi$, $a=e$ and $b_k$ being the $k^{\text{th}}$ prime number, some results as a function of $n$
$$\left(
\begin{array}{ccc}
n & y_0 & \text{solution} \\
2 & 44.2276 & 44.2275 \\
3 & 47.8232 & 47.8224 \\
4 & 51.5652 & 51.5630 \\
5 & 55.4718 & 55.4655 \\
6 & 59.4969 & 59.4866 \\
7 & 63.6580 & 63.6411 \\
8 & 67.9169 & 67.8943 \\
9 & 72.2904 & 72.2598 \\
10 & 76.7898 & 76.7464 \\
11 & 81.3617 & 81.3080 \\
12 & 86.0407 & 85.9725 \\
13 & 90.7989 & 90.7162 \\
14 & 95.6140 & 95.5195 \\
15 & 100.500 & 100.393 \\
\end{array}
\right)$$
Again, a couple of Newton iterations to polish the root will be more than sufficient.
For a maximum numerical efficiency, the function to be solved write
$$f(y)=(y+a)\log(z)-\sum_{k=1}^n \log(y+b_k)-\log(x)$$
$$f'(y)=\log(z)-\sum_{k=1}^n \frac 1{y+b_k}$$
For the working case with $n=15$, $y_0=100.499980$, $y_1=100.393061$ while the solution is $y=100.393055$.
Update
Is seems that the approximation is not very sensitive to the value of $c$ since
$$\frac {\partial\, y_0}{\partial c}=\frac{n}{(y_0+c) \log (z)-n}$$
For example, in the last worked case for which $c=\frac{328}{15}$, at half this value $y=99.1089$ while doubling it gives $y=102.868$ in agreement with the theoretical slope of $0.12$.
I think that we can avoid the search of a "better" definition of $c$.